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Ever since the year 2014, the pharmaceutical industry has witnessed an annual average growth rate of 6.9 percent. Experts think that this industry's growth rate will only get bigger and better over the coming years. So, it is easy to see that there's immense scope in this market; and yet it continues to strive against myriad challenges. World Health Organization research estimates that fake products account for anywhere between 8 percent to 15 percent of total pharmaceutical sales across the globe. Unfortunately, the agency predicts that this disturbing number will grow further.

3137144817?profile=RESIZE_710xAlso, there exists a large number of counterfeit products to have in an industry as sensitive as pharmaceuticals. Just imagine the impact knock off pharma products have, especially on the patients they are meant for. Here's some perspective: studies have found that roughly 1 million people die every year owing to the consumption of lethal fake pharmaceuticals products. However, we'll be honest; counterfeiting is not the only issue plaguing the pharmaceutical industry at the moment. Among other things, this market also has to deal with stringent cost control measures utilized by both providers as well as payers; more aware patients who now come bearing increasing requirements and expectations; and growing competition from generics.

So, is this industry at the mercy of these challenges? Alternatively, is there a way to effectively deal with them and continue the growth it is poised to witness. Thanks to the evolution of technology, there indeed exists a tool that can help this industry surmount these challenges, and that tool is near-field communication or only NFC. For starters, it helps with brand protection since it is a potent means to crusade against counterfeit products. NFC achieves this by offering a way for manufacturing regulation and product validation along with a dependable ability to trail and monitor outcomes.

Another way NFC stands to benefit pharma is by presenting unique opportunities. For example, it can offer functionalities such as product information, patient treatment alerts, and more to help address one of the most significant issues faced by this industry.

To help you further understand the advantages of NFC in pharma, let's quickly take a look at some use cases in this context.

  1. Patient engagement: One of the radical benefits of NFC-enabled pharmaceutical products is that they can be used to set up bi-directional means of communication, which, in turn, can be used to inform and advise patients remotely.
  2. Safety: Provided there are smartphones and Internet connectivity, NFC-tagged pharmaceutical products can offer item-level product authentication practically in real time.
  3. Surveillance: Yet another compelling way to use NFC is to leverage it to relay information to patients about recalled products, expiry dates, and more. Not just that, it can also be used to empower patients to communicate any side effects they may be experienced immediately.

As you can see, with a near-field communication app in their midst, businesses in the pharmaceutical industry can swiftly deal with the challenges obstructing their growth.

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In spite of the fact that it has been with us in some structure and under various names for a long time, the Web of Things (IoT) is abruptly the thing. The capacity to interface, speak with, also, remotely deal with a limitless number of arranged, mechanized gadgets by means of the Web is getting to be inescapable, from the production line floor to the emergency clinic working space to the private cellar. The change from shut systems to big business IT systems to the open Internet is quickening at a disturbing pace—and legitimately raising cautions about security.

 As we become progressively dependent on insightful, interconnected gadgets in each part of our lives, how do we shield conceivably billions of them from interruptions and obstruction that could bargain individual security or undermine open wellbeing? 

As a worldwide innovator in inserted innovation arrangements, Wind River® has been profoundly included since its beginning in verifying gadgets that perform life-basic capacities and conform to stringent administrative necessities. This paper inspects the limitations and security difficulties presented by IoT associated gadgets, and the Wind Riverway to deal with tending to them.


The IoT development is driven by business needs as a feature of big business advanced change 

As indicated by Machina Research, the absolute number of IoT associations will develop from six billion of every 2015 to 27 billion by 2025. It implies a compound yearly development rate (CAGR) of 16%. As far as market development, the Berg Insight report predicts an expansion of the worldwide third-party  IoT platform from €610m in 2015 to €3.05bn in 2021.

IoT Security Risks and Challenges 

Three classes of IoT dangers include: 

 

  1. Dangers that are common in any Internet framework 

 

  1. Dangers that are explicit to IoT gadgets 

 

  1. Wellbeing to guarantee no mischief is brought about by abusing actuators, for example. 

 

Conventional security practices, for example, securing open ports on gadgets have a place with the first class (for instance, an industrial refrigerator associated with the Internet so as to send alarms about the item stock and temperature may utilize an unbound SMTP server and can be undermined by a botnet).

The second class incorporates issues explicitly identified with IoT equipment, for example, the gadget may have its safe data traded off. For instance, some IoT gadgets are excessively little to bolster appropriate unbalanced encryption. Moreover, any gadget that can interface with the Internet has an inserted working framework sent in its firmware and a significant number of these installed working frameworks are not structured with security as their essential thought. 

Adaptability: Managing an enormous number of IoT hubs requires versatile security arrangements. 

 

Availability: In IoT interchanges, associating different gadgets of various capacities in a safe way is another test. 

 

End-to-end Security: End-to-end safety efforts between IoT gadgets and Internet has are similarly significant.

 

Validation and Trust: Proper ID and confirmation abilities and their arrangement inside a complex IoT condition are not yet adult.

 

This counteracts foundation of trust connections between IoT parts, which is essential for IoT applications requiring impromptu availability between IoT segments, for example, Smart City situations. Trust the board for IoT is expected to guarantee that information investigation motors are sustained with legitimate information Without validation it is beyond the realm of imagination to expect to guarantee that the information stream created by an element contains what it should contain. 

Personality Management: Identity the board is an issue as poor security practices are frequently executed. For instance, the utilization of clear content/Base64 encoded IDs/passwords with gadgets also, machine-to-machine (M2M) is a typical mix-up. 

This ought to be supplanted with oversaw tokens, for example, JSON Web Tokens (JWT) utilized by OAuth/OAuth2 confirmation and approval structure (the Open Authorization). 

Assault Resistant Security Solutions: Diversity in IoT gadgets results in a requirement for attack-resistant and lightweight security arrangements. As IoT gadgets have restricted process assets, they are helpless against asset enervation assaults.

Conclusion

IoT has already taken the market by storm. If you want to consider getting into the niche, IoT based mobile applications and devices are the best entry point for entrepreneurs. A reputed mobile application development company can help you develop a robust IoT based application.

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How Covacsis is changing the Manufacturing?

Internet of Things (IoT) began as an emerging trend and has now become one of the key elements of Digital Transformation that is driving the world in many respects. we are evolving to a more connected, digitized world. Leveraging Industry 4.0 technologies is a necessity if you are going to meet consumer’s demands and maximize efficiencies. Now is the time to redefine how we look at gathering and analyzing data across machines and the supply chain to enable fast flexible, and more efficient processes.

General Electric coined the term Industrial Internet of Things (IIoT) in late 2012.

While many of us are familiar with the Internet of Things used by Nike FuelBand, FitBits, Nest and Samsung as connected devices, there’s much more going on in connecting industrial devices in the world of IIoT.

The Industrial Internet is still at an early stage, similar to where the Internet was in the late 1990s. The IIoT, through the use of sensors, advanced analytics and intelligent decision making, will profoundly transform the way plants & factories connect and communicate with the enterprise.

Industries impacted by IIoT are Manufacturing, Aviation, Utility, Agriculture, Oil & Gas, Transportation, Energy, Mining & Healthcare.

One of the key opportunity that early adopters of the Industrial Internet are pursuing is the improvement of worker and equipment productivity, safety and working conditions in the factories.

The IIoT will revolutionize manufacturing by enabling the acquisition and accessibility of tons of data, at lightning speeds, and far more efficiently than before.

There are several challenges factories are facing:

  • Manual data collected by floor person in a shift has human delays, errors

  • It is not continuous and also not real time

  • Data is not comprehensive enough to do analysis and provide insights to senior management

One such framework available to factories is Intelligent Plant Framework provided by Covacsis.

The benefits are tremendous:

  • It collects real-time data from all the factory machines

  • It is completely automatic so no human errors

  • The data collected is comprehensive to provide actionable insights to the factory in charge

  • With predefined algorithms, the productivity and costs are calculated automatically and recommendations are made for improvement

While systems like MES can only synchronize the operations of the factory, IPF does the performance measurement and management.

Business benefits by implementing IPF:

  • Conversion costs are reduced by 20-30% from raw materials to finished goods

  • Production productivity is improved by up to 30%

  • Plug-n-play with minimal or no customization hence no impact on running factories

  • Implemented in 3-4 weeks compared to months and years of competitive products in the market

With solid experience of implementation in over 70+ factories and 15+ sectors across manufacturing such as Pharma, Chemical, Textile, FMCG, etc; IPF is a clear winner and the need of an hour for factories of future.

The path to Industry 4.0 is via Industrial Internet of Things IIoT and implementation of automation via IPF.

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Scaling IoT to meet enterprise needs

Enterprises are increasingly complementing their cloud-based IoT solutions with edge computing to accelerate the pace of data analysis and make better decisions, faster.

Just a few years ago, many expected all the Internet of Things (IoT) to move to the cloud—and much of the consumer-connected IoT indeed lives there—but one of the key basics of designing and building enterprise-scale IoT solutions is to make a balanced use of edge and cloud computing. Most IoT solutions now require a mix of cloud and edge computing. Compared to cloud-only solutions, blended solutions that incorporate edge can alleviate latency, increase scalability, and enhance access to information so that better, faster decisions can be made, and enterprises can become more agile as a result.

That being said, complexity introduced by edge computing should justify the objectives at hand, which include scale, speed, and resiliency. A choice that goes too far in one direction typically introduces substantial operational complexities and expenses. Ultimately, the enterprise should take into consideration a full range of factors that reflect its own particular objectives in designing and building an IoT solution in the first place.

In this article, we discuss when and how enterprises can optimally make use of both the edge and the cloud in their IoT solutions. We explain the roles edge and cloud computing play, why the edge may be needed, and how to approach selecting a solution. We also explain some of the complexities with edge computing and provide some use cases.

The cloud explosion and the latency challenge: Enter edge computing

We have experienced a veritable explosion of cloud adoption in the past decade—the IT functionality of many modern companies exists exclusively, or in large part, in the cloud. Among the many benefits of the cloud infrastructure are cost effectiveness, scale, self-service automation, interoperability with traditional back-office systems, and centralized functionality.

At the same time, the amount of sensor-generated data has grown strongly too, and this trend is expected to continue in the years ahead. Because data can become essentially valueless after it is generated, often within milliseconds, the speed at which organizations can convert data into insight and then into action is generally considered mission critical. Therefore, having the smallest possible latency between data generation and the decision or action can be critical to preserve an organization’s agility. However, as the speed of data transmission is inviolably bounded by the speed of light, it is only by reducing the distance that data must travel that the latency challenge can be mitigated or avoided altogether. In a cloud-only world the data ends up traveling hundreds or even thousands of miles, so where latency is critical to a solution, edge computing can become key.

According to one estimate, as much as 55 percent of IoT data could soon be processed near the source, either on the device or through edge computing. Indeed, scale plays a big role in this likely shift—growing data demands will likely put the focus on latency, and decreased latency could dramatically improve the response time, thereby saving both time and money.

Continuing reading more by Deloitte's Ken Carroll and Mahesh Chandramouli here.

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Newest Trends For Internet Of Things

Now that the Internet of Things has become a social and technical phenom, it is time to check out some of the coming year trends for app developers and the Internet of Things.

Due to the massive amounts of data that is able to be moved through the Internet of Things airways, app developers will continue to develop apps that help as far as artificial intelligence and machine learning. It is not because of the massive amount of information and data that is sent through, rather because of the amount, app developers are working on applications that are able to make logical sense from the information and data.

Storing information and data in the cloud has become firsthand to people and businesses alike. Due to the high amount of bandwidth required to save information in the cloud, businesses are looking for ways to expand on the cloud. All have used private clouds, public clouds and even a private data center, however app developers are working on ways to combine all of those options. When looking for ways to streamline all the business needs, connected clouds are becoming more of a trend. App developers are designing more of a multi-cloud habitat for information and data.

There is a simulation tool that works alongside machine learning, or artificial intelligence. The DTT, Digital Twin Technology is known as a hybrid twin, is a virtual imitation of real products, processes, system or asset used for certain purposes.

Although cloud storage will remain popular in use, app developers are getting real close to edge architecture. This brings the centralized system and the cloud to a further expansive advantage. Not only cheaper but able to be more effective, edge architecture is able to store more data in a micro center.

This is the year of advancement for the 5G mobile devices and their improvements. Last year we witnessed 5G brought to life in applications. Now we see that the new 5G cellular networks will gain massive attention in the Internet of Things. Which will ultimately begin the change of the landscape for the IoT?

We are facing the age of Social acceptance or denial for the Internet of Things. The longer that the Internet of Things develops, the more we will find that some groups are questioning the social, ethical and legal issues. This is because the Internet of Things is very broad-based and capable of changing all business areas.

Infonomics is moving data ownership or monetization to brand new heights. All this data in the Internet of Things will become more of an asset.

The user experience of the Internet of Things is going to be led by factors such as new sensors, new experience edge architecture and context, and of course new and different algorithms. We will then need to adopt new ways without the use of screens or keyboards, and definitely no voice assistant.

There will also be a massive increase of the Smart Homes. App developers have increased the Smart apps that we use, and are developing apps that will make our homes interact with people. Imagine a world where the home is not only where the heart is, but also the home that directs it’s people on what to do.

This means it will not be too far off before app developers have found a way to make smart cities or smart towns. This possibility that the Internet of Things can mix with responsive cities to lighten the traffic congestion, improve the safety in its community and also look for ways to maintain sustainability.

It is also coming closer to the time when the Internet of Things combines with Artificial Intelligence and we produce the robotic assistants. They will help make all critical decisions that need to be made. This self-learning system will read all analytics and derive any important changes.

App developers already have created many apps for Artificial Intelligence. There is a little robot like ‘friends’ that will assist in teaching your children, they interact with the child and some can have little conversations with the child.

A huge improvement that will be soon possible with the help of app developers is what we can call predictive maintenance. This can prevent the labor costs associated with routine maintenance when it is not necessary. Predictive maintenance could be intelligent apps designed by app development companies to notify before maintenance is needed. This could be helpful in automation businesses as a warning before there is a big issue or major break in a piece of equipment. Maintenance will only be necessary when any change is noted in the process or working gears of the machines.

The benefits of predictive maintenance or predictive skills will help auto and health insurance industries to lessen risks or have payouts when the vehicle, home or health issue would have been maintained as needed.

It may not be too far into the future when we are living like George Jetson and his family did, in the days of our youth and on the television. Was that truly foresight, or just a dumb cartoon made up for kids to laugh at? All the technology that has developed to this point, and app developers continue to make our lives easier with smart apps, I do truly think we are very near George Jetson and his wife. Maybe we will be in flying cars real soon too? Dare we say that we do have skywalks, and some automated ones.

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The topic of the evolution of technology over the years is a vast one, and any discussion in this matter is bound to be extensive. For this article, we will narrow down our focus to three products of this rapid evolution: the Internet of Things, cloud computing, and mobile app development. To be more precise, we will discuss the impact of cloud computing and IoT on mobile apps and how they have transformed the latter ever since they first burst onto the scene.


Everyone knows that mobile apps are a crucial part of the digital world that we live in, and their development is bound to be affected by factors in the ecosystem. In this context, there are currently two 'factors' that have been in the limelight -- IoT and cloud computing. Among other things, these two phenomena have had a significant impact on the development process and completely transforming how programmers and companies behind mobile apps go about it.


So, let's jump into it and take a closer look at how the Internet of Things and cloud computing have changed the face of mobile app development.

1. Mobile Enterprise Application Platforms: A mobile enterprise application platform, or simply MEAP, is an IoT tool that is meant to ease support for mobile apps and enable developers to make use of cloud computing. Put, it is essentially an extensive collection of multiple resources and services aimed at helping developers quickly build hybrid cross-device mobile apps. MEAPs also ensure that data stored in the cloud is delivered to different devices without a hitch.


2. Enhanced security: Cloud platforms today come fortified with high levels of encryption along with other modern security measures to make sure that data stored in it as secure as it can be. So, what is the cardinal rule when it comes to mobile apps? Ensure thorough and absolute security! So, with the cloud, companies can administer centralized security. Also, let's not forget that the integration of advanced security measures means that any data transfer is utterly safe and secure, thus further fortifying the cloud's position as a leading and trusted resource for mobile apps. Oh, and did we mention the bonus of security? Thanks to more secure mobile apps, business users are more open to adopting enterprise apps.


3. Cross-platform apps: Considering the growth in popularity of cross-platform apps, it isn't surprising to see that the cloud has had a role to play in this context as well. Such apps are necessarily web apps wrapped in a native container, which, interestingly relies on the cloud for data transmission so they can operate on most platforms available in the market.


There is no doubt that mobile app development is nothing like what it used to, say, a decade ago. However, to ensure the success of the mobile apps you build, it is imperative that you continually stayed clued into the latest trends in the market. It will allow you to deliver A1 apps to the demanding customers of today.

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Facebook has finally discovered plans for a cryptocurrency referred to as Libra, one in all the worst-kept secrets within the history of virtual cash.

On June 18, The Biggest Social media Facebook has released its long-awaited white paper for cryptocurrency and blockchain-based financial infrastructure projects.

Libra, the new cryptocurrency will launch soon in next year and will be known as a stablecoin-Called Libra, the new currency will launch as soon as next year and be what’s known as a stablecoin — a digital currency that is supported by established government-backed currencies and securities. The objective is to avoid fluctuation in values. Libra will be used on facebook owns apps like Whatsapp, Messenger, and other standalone apps. This new digital currency will be linked to a basket of other top currencies like the US dollar and euro and as compared to other currency it will be cheaper and easier to transmit money. As per the latest news the currency plan to launch the Libra In the first half of the next year.

As of now, almost every single person is having a mobile phone but not everyone is having a bank account and the mission of Libra is to create a simple global financial infrastructure to empower billions of people around the world.

Marcus, who runs Facebook Messenger aid Facebook plans to create a replacement digital wallet that will exist within Messenger and its different standalone electronic messaging service, WhatsApp. Once Libra is up and running, the currency and also the digital wallet ought to create it easier for individuals to send cash to friends, family, and businesses through the apps.

If Libra is successful-Libra can make Facebook the biggest player in financial services.- Presently, Including Facebook and its family apps like Instagram and WhatsApp, there are 2.7 billion users and Libra could bring billions of peoples in the digital financial system allowing them to bounce costly banking infrastructure and avoid smaller, volatile currencies.

Facebook made the Libra the Nonprofit association and will be governed by a not-for-profit, Switzerland-based consortium — the “Libra Association” with its other 27 partners and its developers. This partnership involves nonprofit organizations, crypto firms, venture capital firms, telecommunication and technology and payment service providers like Mastercard, PayPal, PayU, stripe and Visa eBay, farfetch, Lyft, Spotify, Uber, Kiva, Mercy Corps and Women’s world banking, Anchorage, Coinbase, Xapo, and Bison Trails.

The total variety of Libra will amendment, and new digital coins will be issued whenever somebody desires to exchange their Libra for an existing fiat currency that the value shouldn’t fluctuate to any extent further than alternative stable currencies, consistent with David Marcus, head of the Facebook blockchain team that’s spearheading the project.

Libra is built in blockchain technology which is decentralized-means it will run by many different organizations instead of just one. It available for those having an active internet connection and has low fees and cost and it is secure by cryptography which helps keep your money safe.

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For those who do not know this famous Goya´s painting: 'Saturn Devouring a Son', it belongs to the series of Black Paintings of the artist. It's the best comparison I can make after returning from the TechXLR8   --- IoT World Europe Summit in London.

In the painting we see the god Cronos, who immutable governs the course of time, devouring a son. The act of eating your child has been seen, from the point of view of psychoanalysis as a figuration of impotence.

Saturn is the Artificial Intelligence (aka AI) and his impotent son is the Internet of Things (IoT). There are other brothers waiting their turn to be devoured by this hungry father. Soon it will be the Augmented Reality / Virtual Reality (AR/VR), the Blockchain and Digital Twins. Not even the 5G will be spared. 

If you are still waiting for the IoT boom, this event is confirmation that the IoT is badly wounded at least in Europe. The few IoT companies that exhibited their products and services at Excel London showed nothing that could overshadow the big winner, the ubiquitous father AI. Although the Augmented Reality / Virtual Reality (AR/VR) does present itself a great rival for the other brothers.

Every time I find it more difficult to justify coming to these events. Neither being a speaker or moderator has allowed me to win a project. I keep doing it to maintain my influence and keep informed my followers on social networks, but I already tell you that physical and economic effort is not justifiable.

The organization this year has sought speakers that mix vendors presentations with success stories of clients. But this year neither of them was able to raise this event.

The few large IT firms present such as Microsoft, SAP or Oracle are on the side of the father "AI" although they show demos IoT many times repeated.

The discussions of the first years of the IoT boom revolved around connectivity, security, IoT platforms, even business models. Now, nobody is interested in these matters anymore. I am sorry for my many friends and myself advising in these areas, but all the fish has sold in West Europe.

Nor have the great integrators been present here. Those who should have implemented IoT solutions for years but never risked investing and continue to squeeze clients with digitalization projects, cloud migration projects, products updates and customized developments. I believe most of them have done a disservice to the acceleration of the IoT.

There was no great IoT news during the event. Perhaps the most important announcement was given by Marc Overton who took advantage of his presentation to announce the recent collaboration agreement between Sierra Wireless and Microsoft to claim industry’s first full-stack IoT offerings. Something that happened far away from here.

As for my sessions, they mixed IoT and Blockchain, something that would have guaranteed success for attendees two years ago or last year but that did not arouse great enthusiasm this year. It is evident that they are becoming a commodity. Something that is not bad, since we would stop speculating about possible use cases and we could be using transparent in our lives and businesses.

Do not worry, the life of IoT events continues, and so this week there are three more:

I believe that Organizers and exhibitors need to try to reinvent the IoT events to make more attractive to visitors and generate qualified leads. We need to see an IoT event where IoT is present in every corner of the floor, in every stage, in every service (cafeteria, rest rooms, transportation, etc). We need to breath IoT every minute.

Otherwise the IoT events will continue driving away visitors and exhibitors and 'Saturn (AI) Devouring a Son (IoT).'

Thanks you all for follow me and read my articles.

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The range and depth of applications dependent on IoT sensors continues to swell – from collecting real-time data on the floors of smart factories, to monitoring supply chains, to enabling smart cities, to tracking our health and wellness behaviors. The networks utilizing IoT sensors are capable of providing critical insights into the innerworkings of vast systems, empowering engineers to take better informed actions and ultimately introduce far greater efficiency, safety, and performance into these ecosystems. 

One outsized example of this: IoT sensors can support predictive maintenance by detecting data anomalies that deviate from baseline behavior and that suggest potential mechanical failures – thus enabling an IoT-fueled organization to repair or replace components before issues become serious or downtime occurs. Because IoT sensors provide such a tremendous amount of data pertaining to each particular piece of equipment when in good working condition, anomalies in that same data can clearly indicate issues.

Looking at this from a data science perspective, anomalies are rare events which cannot be classified using currently available data examples; anomalies can also come from cybersecurity threats, or fraudulent transactions. It is therefore vital to the integrity of IoT systems to have solutions in place for detecting these anomalies and taking preventative action. Anomaly detection systems require a technology stack that folds in solutions for machine learning, statistical analysis, algorithm optimization, and data-layer technologies that can ingest, process, analyze, disseminate, and store streaming data from myriad IoT sources.

But that said, actually creating an IoT anomaly detection system remains especially challenging given the large-scale nature inherent to IoT environments, where millions or even billions of data events occur daily. To be successful, the data-layer technologies supporting an IoT anomaly detection system must be capable of meeting the scalability, computational, and performance needs fundamental to a successful IoT deployment.

I don’t work for a company that sells anomaly detection, but I – along with colleagues on our engineering team – recently created an experimental anomaly detection solution to see if it could stand up to the specific needs of large-scale IoT environments using pure open source data-layer technologies (in their 100% open source form). The testing utilized Apache Kafka and Apache Cassandra to produce an architecture capable of delivering the features required for IoT anomaly detection technology from the perspectives of scalability, performance, and realistic cost effectiveness. In addition to matching up against these attributes, Kafka and Cassandra are highly compatible and complementary technologies that lend themselves to being used in tandem. Not fully knowing what to expect, we went to work.

In our experiment, Kafka, Cassandra, and our anomaly detection application are combined in a Lambda architecture, with Kafka and our streaming data pipeline serving as the speed layer, and Cassandra acting as the batch and serving layer. (See full details on GitHub, here.) Kafka enables rapid and scalable ingestion of streaming data, while leveraging a “store and forward” technique that acts as a buffer for ensuring that Cassandra is not overwhelmed when data surges spike. At the same time, Cassandra provides a linearly scalable, write-optimized database well-suited to storing the high-velocity streaming data produced by IoT environments. The experiment also leveraged Kubernetes on AWS EKS, to provide automation for the experimental application’s provisioning, deployment, and scaling. 

We progressed through the development of our anomaly detection application test using an incremental approach, continually optimizing capabilities, monitoring, debugging, refining, and so on. Then we tested scale: 19 billion real-time events per day were processed, enough to satisfy the requirements of most any IoT use case out there. Achieving this result meant scaling out the application from three to 48 Cassandra nodes, while utilizing 574 CPU cores across Cassandra, Kafka, and Kubernetes clusters. It also included maintaining a peak 2.3 million writes per second into Kafka, for a sustainable 220,000 anomaly checks per second.

In completing this experiment, we’ve demonstrated a method that IoT-centric organizations can use for themselves in building a highly scalable, performant, and affordable anomaly detection application for IoT use cases, fueled by leveraging the unique advantages offered by pure open source Apache Kafka and Cassandra at the all-important data layer.

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Drivers are the backbone of the trucking industry and driver retention is one of the biggest concerns. Are you facing issues like driver shortage or driver retention? Advanced technology offers various solutions to transportation industry for such issues. Real-time monitoring, time-saving in shifts, better communication of drivers with managers, etc. simplify the work of drivers. Job dissatisfaction and operational inefficiencies are the major reasons why drivers leave the job. But this can be reduced, let’s see how.

How to improve the job satisfaction of drivers?
Trucking industry relies on the drivers for navigating through complex routes to transport sensitive goods safely and on time. It is a hectic job already and hence it is necessary that the drivers are satisfied with their job. Or else they will leave the job which hampers the business profits. What efforts can be taken for retention of drivers?

Simplifying the Driver’s Work using Technology
Drivers are constantly on the road. Traffic, bad weather conditions, etc. can be very irritating to them. However, using GPS systems, such conditions can be tracked proactively. The drivers can be directed to other routes which are having less traffic or some shifts can be canceled if the routes show bad weathers ahead. The drivers will not be annoyed by waiting for long hours and instead can take rest if the shifts are canceled due to bad weathers.

Automation and digitalization save time and efforts of the drivers. There are mobile apps which keep track of the load on the trucks. It saves the drivers of manual checking of load and also sends messages to the owners about the load. Also, in case of any theft or adding illegal loads to the truck, the owners can get instant messages right on their smartphones.

One such eminent example is the mobile app- Appweigh. It uses Bluetooth-enabled weight sensor to keep the track of the load on your truck. It is a budget-friendly app which combines the sensor and Bluetooth technology. Throughout the shipment of the trucks, the sensors detect the pressure on the tyres and clearly display the weight through AppWeigh on the smartphone of owners or fleet managers. The drivers don’t need to keep manual watch on the weight when the load reaches a certain destination. It is automatically sent to the owners.

Using IoT in Transportation for Better Communication and Time Management
Open communication with the drivers not only ensures transparency but also makes the drivers feel like true partners in the business. It encourages and engages them. Internet of things or IoT in transportation industry is playing a crucial role in connecting technology with people for more accurate results. It connects tools like sensors, RFID systems, GPS systems, smartphones, etc. to each other to gather vital data and communicate it to drivers and owners. Using this data, they can make informed decisions for improving various processes in fleet management. With such transparency, manual errors by drivers can be avoided and small issues can be discussed proactively before they turn into bigger problems.

Technology saves the drivers from keeping manual records of loads, timings, etc. as everything is automatically recorded. It reduces the stress of the drivers and ensures loyalty to the owners.

Making the Driver Health a Priority
Drivers’ health is the most critical topic when it comes to driver retention. A trucking industry can offer health benefits like health insurance plans, nutrition programs, free health screenings, etc. to drivers. Such benefits are an investment in your drivers. Also, the incorporation of smart cameras can reduce the risks of accidents. When the drivers feel safe and cared for their lives, your company reputation improves. They themselves will ask other drivers to join your company.

Giving Performance Incentives and Engaging Drivers
When drivers are appreciated and rewarded for their good work, it inspires them to do better and also be stable with your trucking industry. Financial incentive systems can be used to reward the most productive and safest drivers. Technology can be used to evaluate the drivers’ performance fairly. Real-time coaching and user-friendly solutions to any issues will help the drivers to progress faster and feel supported. The drivers who work hard to improve their performance can be awarded with the performance incentives. This will also encourage and engage fellow drivers. 

 

Conclusion
Smart technologies are providing highly efficient solutions to transportation industry. Along with driver retention, these technologies help in real-time visibility of the processes, maintaining the vehicle health, improving warehouse and yard management, etc. which enormously boost the business profits. IoT in transportation industry provides robust security services to drivers as well as the freight. Reliable data that owners get from smart technical solutions lets them take the right decisions to maintain their workforce. It enhances driver satisfaction and retention rates.

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Change is inevitable. People repeatedly ask me, “What is going to change in real estate business in upcoming years?” I believe that the widespread escalation of artificial intelligence, big data, and predictive analysis provides more vivid information about a location’s future challenges and opportunities. Currently, there is a staggering amount of user-generated content for land records in the form of paper files, scanned PDFs, and more. According to Forbes, Big Data adoption in enterprises reached 59% in 2018 with a CAGR of 36%.

Though the telecommunication, health care, and investment industries were among the firsts to invest in alternative data, the real estate market is now becoming more transparent using big data. It helps the buyers to get the practical knowledge about the location like past market trends, nearby places, future possible changes in the area, and more, which reduces the investment risks.

What changed in real estate with big data?
Whether it is about designing an office or home that suits the requirements of the tenant, analyzing the damage to a property after a storm, or providing history and future growth of a particular location to the prospective buyer, big data is thoroughly transforming these essential tasks of real estate industry.
Big data has opened both the quantity and quality of the available data in the property business.

National Association of REALTORS® Research Group published a real estate report of 2018, in which they noted below statistics:
• 22% of buyers read newspaper ads to search a home in 1981, while in 2018, 44% of total buyers did an online search first.
• A typical buyer used the website or mobile app to look at property photos, nearby locations, and related information while searching for the properties.
• 76% of all buyers found home on their mobile devices.

Revolution in the real estate field using big data
The concept of using data brought the revolution in terms of providing real-time traffic status, proximity trackers, places for late night activities like parks, and a plethora of user reviews that abolishes the room for any confusion about the property. Big data works on facts and figures that empowers both buyer and seller for more secure deals.

Final evaluation: Big data analytics helps to remove human error while analyzing the property value by applying the latest demographic, economic, and geographical insights. The use of big data with machine learning creates an automated evaluation model as an alternative to traditional real estate appraisals to let the buyer and seller aware of their decisions.

Finer property trading: A data-driven approach helps to make better decisions for buying and selling lands & buildings. Builders can create a healthier plan for residential or industrial units. Big Data incorporation provides relief to the inexperienced sellers and buyers who are at the initial stages of property dealing.
Finance transformation: The potential investors can make better financial decisions with the help of fetched data from public and private sources. The buyer can quickly analyze the physical structure condition, the last renovation details, the reliability of the owner, and the price-worth set for the property. Moreover, the digitization reduces the paperwork, which lowers the cost and helps in saving the environment.

Can big data become the future of the real estate industry?
Along with refining the business and trade decisions, big data analytics and its related technology help to improve the daily lifestyle of the buyers by providing the right information for the properties they are interested in. However, collecting enormous data and building accurate advanced analytics algorithms is a time consuming and arduous task. Even a top-rated real estate website development company faces the challenge to capture the data value from various industry segments to create advanced analytics that establishes straightforward processes for data governance, interpretation and then helps make effective data-driven decisions.

However, the future of the real estate industry with big data is pretty promising for both sellers and buyers. It will undoubtedly lower the obstructions that come along in the way of searching and selling a property and make the finding of the right place for living or working much faster.

Expanding the geographical information system through location intelligence, using IOT (Internet of Things) to connect and exchange data, and mapping air quality through integrated air quality sensor devices are the next big things in real estate business. The integration of big data is not meant to replace human behavior truly; instead, it helps to make better decisions using realistic data points with subjective inputs from the human.

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The recent advent of additive manufacturing for printed electronics, for example, has made engineering and design labs game-changing R&D enablers. Engineers will soon find themselves able to quickly, accurately and cost-effectively design and build functional electronics in new shapes with added functionality without having to wait weeks or months to understand whether their smart device works or not. The greater design freedom, compressed project timelines and fully in-house workflows afforded by 3D printing are setting the stage for the long-awaited IoT revolution. These advantages ultimately increase product and cost efficiencies and reduce time to market, meaning consumer can enjoy the benefits of these products faster than ever before.
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Mobile applications are getting popular among the businesses and customers alike by each day. The reason behind the growth of mobile application lies in the usability it offers on smart devices. With the invention of smartphones and the introduction to the internet, everything has become accessible on the fingertips and mobile applications play a major role in doing so.

As there millions and billions of application available on the global platform and new ones are being launched every day, it has started facilitating more ease of use as it supports every single requirement of the users. Starting from ordering food and buying clothes to facilitating handymen services on your demands, the applications are taking over the global market and hence are becoming the center of attraction. As the technology keeps on introducing newer concepts to facilitate better usability with passing time, Internet of Things (IoT) has gained the attention of many and is facilitating the things that were once only to be imagined.

Internet of Things (IoT) basically revolves around automating the general tasks done by the machines and getting them controlled from the devices located far away or nearby from the machines by getting them connected all together. It has facilitated the automatic home safety systems which were once imagined by the people that a single press of a button can control the entire house and the things in it which have been successfully facilitated by the IoT now. 

Role of Mobile Applications

However, the question arises as to how mobile applications are related to IoT and its applications. A mobile application can work as a remote on the users' devices and allow them to control the things. Yes, as in IoT we are considered about controlling the machines and their behaviors, the requirement of building software rises as the software can control the machines by instructing them in their understandable language which is of 0's and 1's. (Binary)

Hence, mobile applications play the role of an instructor which acts as per users' demands and allow them to control the machines efficiently. As time keeps on flying, there are many new inventions being introduced in the market which are based on the concept of the Internet of Things (IoT) and support and enhance the user experience by facilitating the needs of users answered through providing the control over things. 

IoT Helps in Reducing Development Time

Not only mobile applications help IoT but also, the favor is returned equivalently from the Internet of Things. With the newer concepts and their implementations in the digital market, the mobile app development company is being supported by IoT as it can automate the application development process. Yes, it reduces pretty much time taken after developing a single application and allows the developers to develop more applications and work on updating existing ones. Supporting the development of mobile applications, IoT has increased the chances of getting an application developed more efficiently in less time and working excellently to deliver the better user experience. 

Expanding the Limits

Having the mobile application to control the devices using IoT, it expands the limits and scope of IoT itself and mobile applications also and helps in serving the users better. With a single IoT interface available to control many devices, it helps in providing multiple facilities all in a single screen. This leads to encouragement to the concepts of smart cities, smart homes, and smart grids and many more.

Therefore, the applications here are extended to serve the users better by providing an interface to facilitate the control over each device connected with the smartphones and enhance the experience through the applications. Making the devices connected to the smartphones with the help of wi-fi, Bluetooth or any other wireless network source is what these applications primarily perform and allow the application to control those devices being connected and coded to follow the instructions built in the application. 

Notifications

As smartphones are connected with the devices being controlled, the applications used for controlling the devices and supporting IoT can send push notifications to the users to notify on the status of the connected devices and also alarm if an emergency situation comes. Therefore, the notifications can be sent to the users anytime and they are notified with the status and important information through the application.

Internet of Things has been expanding its reach to many users with the introduction of smart devices like fitness bands and it also indicates that the users out there are keeping the smart devices more and more near to them and hence want the notifications to reach them as soon as possible and even when they are away from the actual device being controlled. IoT has surely taken over the global market by connecting the devices and continuously keeping the users updated.

IoT Does Require Sensors

IoT enabled devices uses the sensors to sense the change in atmosphere around them and use it to perform a certain action or notify the users through the application. The sensors being used here are of the smartphones or the devices being used and are controlled by the application or software developed as an IoT interface. Hence, applications play a pivotal role in IoT as it enhances and redefines the control over things and allows easier handling.

Hence, mobile applications have played a major role in enabling better control through IoT as the users can get access to IoT enabled devices with simple connectivity and an application from anywhere. Owing to mobile applications, IoT has also contributed its best to automate the process of development. However, there are certain concerns over IoT that still remain unanswered.

As the applications have gained control over things and are continuously collecting and making use of the data, there poses a high risk of a data breach through the network as the devices are connected with each other wirelessly. The privacy and security of users' data are the primary concerns here when a mobile application takes part in the picture. Therefore, implementing the required strategies and encryption techniques to protect the data of users becomes important. As IoT technology is still evolving there is hope to find answers to all the questions related to the security of the data in the near future.

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The Internet of Things is a beautiful phenomenon, enabling things one would have never thought to be possible until only a decade ago. Now, we have the convenience to turn on home appliances with our mobile phone before you even enter your home. Alternatively, perhaps you use it to turn on your car's ignition and air conditioning a few minutes before you exit your house and leave for work. It is truly extraordinary -- the Internet of Things. Thankfully, the scope of its use isn't limited to the examples we have listed; when used in combination with other solutions, like Drupal, there is no limit of how much your business stands to benefit.

Drupal offers a superb content management framework, which, when brought together with the Internet of Things, can prove to be an exceptionally effective means of establishing and enabling a seamless workflow across the entire business. Among a vast number of things, Drupal can be used as a back-end for the connected things in IoT. Furthermore, its API system enables several interfaces to be connected to it. So, you see why the coming together of Drupal and IoT is highly recommended? Nonetheless, let's walk you through some more reasons why you can't ignore this potent combo.

1. Efficiency: A business that isn't efficient is bound to struggle. However, that can be dealt with IoT devices, with features such as GPS, that are capable of not only collecting and analyzing data but also sharing it, sending the critical data wherever it is needed. Now, a Drupal website can be used to receive it and then set off or prompt specific actions aimed at facilitating significantly better performance.

2. Improved customer service: The ultimate success of the service team is when it delivers better customer experiences, ones that give them exactly what they need, it is imperative to understand them better. It again can be done by leveraging connected devices to gather data and then route it to a Drupal-based mobile or web apps to collate and glean insights. An excellent example of this in action is the Amazon Dash Button, which allows users to order their preferred products with just one click/tap.

3. Ability to function remotely: Sometimes, a business may require project(s) to be monitored remotely Or perhaps there's an equipment that needs to be powered on or off albeit remotely. No points for guessing who can help. Yes, IoT and Drupal. Devices connected to the internet, together with a Drupal website or app, stand to enable a vast variety of functions, such as the ones mentioned above and so much more.

The idea of using Drupal in combination with the Internet of Things is still, admittedly, relatively new. However, the fact that the market has only recently started exploring the applications of this combo doesn't mean there is a dearth of scope. So, as you can see from the above discussion, there’s no telling what your business can achieve with it. Our advice? Find yourself a reputed Drupal company ASAP and get started on leveraging it for the benefit of your business right away!

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Considering that the IoT is in its infancy and due to the last years wasted in predictions that have not been fulfilled, in disappointing statistics of successful projects and with most companies without clear strategies, it is normal to think that R & D is today so necessary for boost and accelerate this increasingly sceptical market.

R&D should be an essential part of bringing innovation to any company via IoT projects. And though we can all agree how important R&D is, it requires a great deal of experience, senior experts, and specific toolsets—resources that not every company can say they have handy.

However, there is a risk when deriving the strategic decisions that the executive directors consider to be technological towards the R & D departments. Many times, oblivious to the reality of the markets, those responsible for R & D with the invaluable aid of the subsidies of the different Administrations, they launch to develop products and technologies for problems that do not exist, just for the fact of obtaining recognition or to continue living without pressures of the Top Management. I am enemy of granted subsidies granted most of the time by unqualified Administration organisms that does not understand that need to prevail the utility, the business model, the business case and the commercialization over the innovation that R & D said to be developed.

Now, if we ask the sellers of IoT technology, products and services, they may not be so happy with the idea of having to talk with the R & D areas instead of with other areas of the company more likely to buy. Most time, R &D departments decide to do it themselves. Vendors know, that with great probability, they will not to close deals due to lack of budget of the R &D or the low visibility of this area by the rest of the departments of the company.

The Importance of R&D for the Internet of Things

Innovation in IoT is a major competitive differentiator. See below some advices to have a decisive advantage over competitors:

  • IoT-focused companies need to invest in R&D to keep up with the rapidly changing and expanding market. It is important that an organization’s R&D iteration turn times are quick, otherwise the company is not going to be able to keep pace with the expected IoT market growth. However, it’s not enough to simply speed up R&D—innovative IoT firms, both start-ups and established companies, must also make sure their R&D processes are extremely reliable.
  • You can’t solve R&D speed issues just by increasing budget.
  • Executives must maintain strong, steady communication with R&D regarding the department’s priorities over a particular time frame and how progress will be measured.
  • Guidelines are invaluable: The more structured and streamlined R&D procedures are, the better IoT companies will be able to move from conception to delivery.
  • Design innovative IoT products but accelerate time to market.
  • Internal collaboration: R&D team should share real-time data across internal departments to spur intelligent product design
  • External collaboration: Connect with customers and partners to ensure success
  • Differentiation: Drive overall business value with IoT.

 

 

Outsource or not Outsource R & D for your IoT project

Just like any other technology, IoT products and solutions require thorough research and development, and it better be done by professionals. Despite the noise generated by analysts and companies around the IoT, the reality is that there have not been many IoT projects and therefore it is not easy to find good professionals with proven experience in IoT to hire.

When I think of Outsourcing IoT projects, Eastern European and Indian companies immediately come to my mind. No doubt because the R & D talent seems to be cheaper there. Spain could also be a country to outsource IoT, but at the moment I do not see it.

The benefits of Outsourcing R&D for IoT Projects:

  • Expertise and an Eye for Innovation
  • Bring an IoT Project to Market Faster
  • Optimize Your Costs
  • Control and Manage Risks

I am not sure about the quality of most of these companies or the experience of their teams in the development of IoT products or in the implementation of IoT projects, but there is no doubt that there are benefits to Outsource R & D for some IoT Projects. You should select any of these companies after a careful evaluation.

Recommendation: Do not stop your IoT projects if you do not have the skills and professionals in house. Luckily, there are companies who offer outsourcing R&D for IoT projects.

Note: Remember I can help you to identify and qualify the most suitable Outsource R&D for your IoT project.

Spain is not different in R & D for IoT

I have not believed in R & D in Spain for years. There are exceptions without a doubt, but it seems evident that the prosperity and welfare of Spain is not due to our R & D. Fortunately we have sun and beach and a lot of brick to put in houses that are not sold because of high prices and low wages.

With the entry into the EU, I thought that we had great markets open to us. I was also optimistic that we would have great opportunities in the Latin American market, thanks to the fact that our research and development capacity would have been consolidated effectively in our companies and universities because it would be profitable and worldwide recognized.

But it has not been that way. The technology developed in Spain and more specifically that relating to the IoT has little chance of being commercialized in France, Germany and not to mention in the UK. If we add the development gap of the countries of South America and that our local market is averse to technological risk, it is difficult to flourish R & D in IoT or Industry 4.0 here in our lovely Spain.

That does not mean that we do not have public R & D budgets for these areas. What happens is that the same thing that happened during the last 30 years has happened. The incentives and aids are few and for the most part used to finance large companies with little return to society. There is no rigorous control of the aid granted and, above all, there is no plan to encourage the local and global marketing of the products developed with the talent of our scientists and researchers.

I have stopped believing and trusting in our successive Governments for the change in R & D but there are exceptions that are worthwhile to follow and work with them. For this reason, I continue help them demonstrate that “SPAIN CAN BE DIFFERENT”.

Key Takeaway

After years of unfulfilled expectations, companies are sceptical of the potential growth of the IoT market or the benefits in their business. R&D department can be a cure to boost IoT initiatives but also a poison to kill IoT initiatives.

 

IoT may have started in R&D, but their benefits don’t have to end there. To drive overall business value, it’s important to share IoT data – both internally and externally. Facilitating open collaboration, discovering new ways to innovate products, and accelerating time to market, you can differentiate R&D and your business.

As fast turn times and reliability becomes a focal part of companies’ R&D processes, these companies will be well-positioned to thrive within the IoT market.

Thanks for your Likes and Comments

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IoT in Secondary Education

Elements of IoT are being shared with secondary students in classrooms all around the world.  My contribution to this educational arena has been toward the design and implementation of IoT curriculum.  My first attempt at such a curriculum was in partnership with a technology camp company called Young Hacks Academy for which I designed their IoT curriculum.  You can see a presentation of the core curriculum here.

I recently revisted the YHA IoT curriculum I developed and am ready for a complete rewrite.  I encourage potential collaborators in the IoT space to reach out to me if interested.  My first effort towards rewriting some of my IoT curriculum is to integrate my CS1 Game Engine, for multiplayer progressive web applications, with IoT components.  At this point I have only written a very basic example which can be seen in the tech demo for the CS1 Game Engine.  I have made a Glitch project for the CS1 Game Engine here.  You can log into the CS1 Game Engine tech demo with username computer or science, both with password 1234.

Please reach out to me if you are interested in raising the bar for IoT in secondary education.

 

Sincerely,

Eric Eisaman

LinkedIn

 

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There is no doubt about the capability of IoT the way it is spearheading in the smart technology market by providing innovative solutions to various industries.


Advanced industries, smart vehicles, smarter cities, smart home and more have already under the influence of the IoT touch. However, IoT in farming is the new trend that has geared up for a while. And why not?

Do you know the global population is growing at a rapid speed. It is about to touch 9.6 billion by 2050. And to feed this much of the population there has to be an innovative way to compensate this need. IoT comes as a silver bullet solution for it.

The way IoT is helping out farmers and farm owners is commanding. The upcoming years are expecting more inventions in farming by different IoT applications.

This article explains the different ways of smart farming and effective applications of IoT in smart farming.

Precision Farming

To make the Farming practice more productive and accurate precision agriculture (also known as precision farming) is used.

Basically, this is done through installing or using some sensors, smart devices, robots, drones, autonomous vehicles, and so on. By doing so farming can be made so systematic and well maintained thereby raising livestock and growing crops in a smart way.

The adoption of access to high-speed internet, low-cost satellites, mobile devices by the manufactures are few mostly used agriculture IoT technologies.

Numerous organizations are leveraging this technology on ultramodern agronomic solutions due to the popularity of precision agriculture.

The soil moisture probe technology is an amazing example of IoT in smart farming. It provides complete in-season local agronomy support, and recommendation to optimize water use efficiency.

Drones for Agriculture

Technology in farming is changing for a good and what better example would it be than Agriculture Drones. Today, agriculture is the leading industry to integrate drones for better results.

Agricultural drones are best to monitor crop, crop health assessment, irrigation, crop spraying, planting , and soil and field analysis.

The prime benefits of using drones in agriculture are health imaging, GIS mapping, saves time, increase crop yields.

Precision Hawk is a company that uses drones for collecting valuable information via a series of sensors. Mostly these sensors are used for imaging, mapping, and surveying of agricultural land.

Drones are used to do in-flight monitoring and observations. The farmers can easily access by entering details of the field they want to survey and select the altitude or ground resolutions.

From the information of the drone, we can draw insights regarding the plant’s health indices, plan counting and yield prediction, and plant measurement. We pressure mapping, drainage mapping, nitrogen content, scouting report and so on.

Livestock Monitoring

Wireless IoT applications are used by the large farm owners to gather the data regarding the location, well-being, and health of their cattle.
This data helps them in identifying sick animals to separate them from the herd thereby preventing the spread of disease. It also lowers the cost off labors as it locates their cattle with the IoT based sensors.

There is a company called JMB North America which offers cow monitoring solution to cattle producers. One solutions let owners of the production company to monitor if the cow is pregnant or not.

Smart Greenhouse

Greenhouse farming is a method which helps in enhancing the yield of fruits, veggies, and crops. Greenhouses control regulate the environmental parameters through manual intervention results in production loss, energy loss, and labor cost. These methods are less effective.

With IoT, you can build a smart greenhouse which will monitor as well as controls the climate reducing the need for manual intervention.

Different sensors that measure environmental parameters according to plant are used for controlling the environment in the smart greenhouse. Additionally, we can create a cloud server for remote access when it is connected using IoT.

The sensors used in IoT provide data on the light levels, pressure, humidity, and temperature. It can control the actuators to open a window, turn on/off lights, controlling a heater, all connected through a Wifi signal. 

Conclusion

Farmers and rancher are relieved to have an IoT agricultural application making it possible to-gather meaning full information. Large landowners should understand the potential of the IoT market for agricultural.

If you are willing to integrate IoT in smart farming, you should approach for Leading IoT App Development Company and leverage the benefits of IoT.

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Picture Courtesy: Pixabay

 

Recently I have attended an IoT conference where three presentations caught my attention:

Presentation 1: Development of IoT. This presentation was held by an IoT expert representing a renowned IT company. He proudly spoke about pioneering IoT projects his company is working on:

(1) A smart house, equipped with sensors from sofa to the main gate, with a notification feature in case of any abnormal activities.

(2) A robot arm which performs a quality assurance test by detecting flaws in a manufactured part and communicating the error via sound or speech. The message delivered: These robots are being taught, by means of AI, to take over the human work. The presentation of these projects elicited a big round of applause as the audience just witnessed the future development of the digitally empowered products and AI. The whole enthusiasm turned into confusion as the second speaker came up with his presentation.

Presentation 2: Disruption of IoT. This presentation was held by a cybersecurity startup company, founded by a couple of ethical hackers, which highlighted the risks of minor security loopholes in almost all IoT applications. The speaker ended most of his statements with “this can ruin the end user or even lead to fatal consequences”. Examples he provided included hacking and manipulating a pace-maker, remote hijacking a plane, manipulating a smart house to cause a false alarm or open the doors, hacking the industrial IoT to manipulate the processes, copying bitcoins and so on.  For those who think that brownfield manufacturing is still an unknown world for hackers: The last 5 minutes of his time, he utilized hacking live into a legacy SCADA system. What the gentleman also stated is that the hackers are always a step ahead of what society thinks the latest development in the field of cybersecurity and that the hackers view each and every sensor as a potential “doorway” to the system sitting behind it.  His presentation left us all questioning the digitalization trend (or opening more doors to the hackers) and associated risks.

Presentation 3: Disruption by IoT. The speaker from a renowned MNC highlighted the upcoming manpower crisis. The creation and operation of IoT applications oftentimes demand a different set of skills. Companies are investing heavily in IoT projects and they are either hiring IT experts or outsourcing the complete development.  This comes at the cost of shutting down entire business units and laying off hundreds of employees. Big organizations term it as restructuring. But the story does not end here. Once the smart machines take over more human jobs, then there will be an era of huge job scarcity. What will the society do with workers (let’s say all with an average age of 50), whose work has been taken over by the sophisticated robots?

I guess I do not have to tell you how these three cases are interlinked. These three presentations gave the audience a good food for thought as everyone was talking about them in one or the other context. The discussion however revolved around one question which I would like to ask here as well:

How much of IoT is too much?

 

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Heavy equipment is mainly used extensively in industries such as construction, oil and gas, mining, forestry, energy, civil engineering, military engineering, transportation, and many others. Industrial heavy machines include construction equipment, wheel loaders, oilfield pieces, manufacturing equipment, earthmovers, hydraulic cranes, bulldozers, oversized trucks, forklifts, and more. Organizations rely on heavy machinery to speed up production and to avoid human errors or health risks.

With developments in IoT, it is possible to decrease equipment downtime while improving the efficiency of the output. Companies that supply industrial machinery and components are seeing strong interest in connected machinery and components which providing many IoT consulting Companies. IoT-powered asset management solutions offer a host of benefits, including predictive maintenance to prevent equipment failure, increased asset reliability, improved asset health, accident avoidance in the workplace, and downtime reduction.

Smart Asset Monitoring with IoT

Safety of personnel and assets, theft or pilferage of assets, accidents and resulting injuries, and bottlenecks in the supply chain are some of the common challenges that are prevalent in asset-intensive industries like manufacturing, utilities, construction. By improving visibility into day-to-day operations, replacing legacy systems with an integrated solution and automating manual processes, many of these challenges can be overcome. 

Digitalization, combining connected devices with IoT-based solutions, can help to overcome these issues. End-to-end clarity on the status of the equipment enables improved decision-making, increases asset reliability, and also improves the people and process efficiency. With the advances in technology, mature organizations have heavy machinery that is computerized, automated and enabled with connectivity and big data analytics, which increases the efficiency of the overall product development process.

Use cases: IoT in heavy machinery management

Let’s take a look at some of the use cases where IoT is transforming the way heavy equipment and related assets are managed.

Smart heavy equipment in warehouse management

Material handling equipment like trucks, forklifts, pallet trucks, and pump trucks are very important for any warehouse to perform daily activities such as loading, unloading, transporting goods to different areas, and picking goods from risky areas. Needless to say, these machines and their operators need to be managed properly to minimize the chances of accidents. Warehouse operators need to take preventive measures for vehicle accidents and injuries that occur while from shifting material, and take proper care while handling hazardous materials.

Today, futuristic warehouses are using driverless robotic equipment to assist in picking and moving operations. Guidance systems like global positioning system (GPS), lasers, and radio-frequency identification (RFID) are used in such warehouses and equipment.

For example, advanced driverless pallet trucks and forklifts are equipped with audible warnings and lights and have built-in sensors to detect obstructions. These sensors come with lasers or camera systems, which are positioned to detect objects and activity from the floor and are able to determine the height and distance around all sides of vehicles and warehouse corners. This makes the equipment intelligent – it knows when to slow down and stop to avoid a collision.

With the recent advances in IoT for warehouse equipment, the market has a new breed of smart forklifts that come equipped with 360-degree detection forklift antenna, which is able to detect when the workers come into forklift zone. When a worker is detected within the predefined danger zone, audio and visual alarms are set off inside the forklift cab to alert the driver. This helps to reduce the risk of injuries and property damage.

Smart heavy equipment in the construction sector

According to a MarketandMarkets report, the heavy construction equipment market size is estimated to grow from USD 121.46 Billion in 2015 to USD 180.66 Billion by 2020, at a CAGR of 7.0%. Depending on the construction application, heavy machines are mainly categorized into four types:

  • Earth moving equipment
  • Construction vehicles
  • Material handling equipment
  • Construction equipment

Wireless technology has a huge impact on the construction industry to provide connectivity for heavy equipment. These machines use technology-enabled devices combined with cloud computing, allowing storage and sharing of data.

IoT is playing a key role in boosting productivity, improving preventive maintenance, minimizing downtime, and reducing repair costs. Sensors integrated with the equipment are able to detect and send automated alerts related to the status of the equipment systems and parts. They can also compile and analyze usage and maintenance data, helping with preventive and predictive maintenance.

 

One of the major problems in the construction industry are injuries caused due to accidents involving people and heavy equipment. As the number of heavy equipment continues to rise, the risk also increases. IoT can help to make the equipment smarter and safer.

Additionally, IoT can help to track assets as they move around the site, or to a different site, ensuring that the assets are never stolen or lost – an ongoing issue on large construction sites that causes delays and decreases productivity.

Smart heavy equipment in transport and logistics

Transportation and logistics businesses want to optimize the supply chain. Many transportation companies are already using mobile devices, such as barcode scanners, mobile computing devices, and radio frequency identification (RFID) to solve challenges related to the supply chain. With RFID, many companies are achieving a high level of shipping and receiving accuracy, inventory accuracy, and faster order processing, along with a reduction in labor costs.

However,  due to drivers’ careless behavior, while driving heavy trucks or conveyors, company owners have to shell out a big amount for accident-related injuries, material loss or shipping delays. By using advanced technology that is capable of monitoring driver’s behavior and delivering alerts in case of possible collisions, the risk of these issues can be minimized.

Computer vision-based techniques and ADAS solutions, with a number of onboard sensors, can help with lane detection, traffic signal detection, driver behavior detection, GPS tracking, fuel management, report generation, notification alert, and predictive maintenance.

Using such solutions, the driver receives support to detect and avoid accidents. It is also possible to monitor a driver operating a heavy machine and automatic alerts can be generated if the driver is sleepy or inactive for a long duration.

Another effective solution for tracking of heavy machines/vehicles is based on installing GPS fleet tracking devices on the vehicles to gain real-time data updates. This is an efficient and secure solution that helps to resolve issues related to operational inefficiencies, theft, and fleet maintenance, increasing the overall productivity of the machines and vehicles.

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