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Apps and Tools (73)

As we all know, approaches to implementing IT infrastructure is changing fast, and has upended the way CIO's, IT managers and software developers, not to mention tech vendors, allocate their IT spend. What will it look like in 2020? McKinsey recently published a blog post looking at 10 Trends that trends that are giving rise to disruption and innovation. 

For IoT, McKinsey writes:

Internet of Things business applications are ready for adoption.

McKinsey estimates that business-to-business applications will account for nearly 70 percent of the value that will flow from the Internet of Things (IoT) in the next ten years. According to our 2017 Enterprise IoT Executive Survey, 96 percent of companies expect to increase their IoT spending over the next three years, with some planning to devote as much as a quarter of their IT expenditures to IoT-related capabilities. The most popular use cases for enterprise IoT involve increasing visibility into operations, optimizing operational tasks, or assisting with the development of new business models. The upshift in adoption is even occurring in industries that have traditionally been slow to adopt new technologies, such as oil and gas. The growth of enterprise IoT will vastly increase demand for the compute-and-storage infrastructure, augmenting demand for hyperscale resources and IoT-specific PaaS solutions.

BI Intelligence predicts that more than five billion IoT devices, such as inventory-control and safety-monitoring tools, will require edge solutions by 2020 because they must collect and process data in real time.9Edge solutions allow information processing at the device or gateway level, rather than within the cloud or a data center, reducing both latency and connectivity dependencies. Of the $500 billion in growth expected for IoT through 2020, McKinsey estimates that about 25 percent will be directly related to edge technology. Edge computing will help improve data compression and transfer in the connectivity layer of the technology stack, reducing network bandwidth and making a wider range of IoT applications possible.

Photo Credit: Jessic Orrico 

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Augmented Reality has been here for some time. Among consumer level products, Pokémon Go was one prime example of primitive level Augmented Reality, it only took a decent smartphone. Lately, some of the social media and networking apps, especially the ones that feature a 24-hour story option e.g. Snapchat, Instagram and Facebook Messenger are using the basic technologies of Augmented Reality to draw masks and filters over the users’ faces. This is real-time and accurate, and fun nonetheless. However, augmented reality face filters and industrial augmented reality, also known as IAR is vastly different. The first one can act on generic smartphone hardware across a wide range of devices whereas the latter needs proprietary software and hardware. The margin of error in IAR practically needs to be negligible, and there should not be any prominent lag in the system to maintain a precise production output. Augmented Reality has become a thing in 2017, and we believe the inflection point for Industrial Augmented Reality will be around 2018 – 2019.

Augmented Reality in the Production Line

Everyone that works down in the core production facility, e.g. the supervisors, the technicians and the field workers could really benefit by using AR and 3D imagery on top of a real object to speed up the designing and implementation process. A 3D augmented reality model could be drawn in the head-worn VR helmet in 3D space, generated by data received from IoT based sensors placed at different crucial points to build up an effective model. Also, IAR might not necessarily require VR headsets. There are different aspects of AR and workers in a production facility could access them using smartphones, tablets or proprietary handheld devices. As of yet, renowned VR devices in production are being used in several industries - Google Glass Enterprise and Microsoft HoloLens have made their cut. The emergence of IoT and rapid development in the same field would certainly ensure a competitive market of IoT sensors and VR helmets for IAR in the upcoming years. Workers in different industries – production, oil drilling, mining, assembly line etc. will never look the same in a few years!

Challenges in the Application of AR in Industries

Creating the AR ecosystem is the major challenge in switching to a completely AR based industry from old-school manual technologies. Assembly line workers do the same repetitive tasks every day and it doesn’t matter how boring their jobs might be, they have gotten used to doing it. Introducing a new technology could set back production by bigger numbers, cause serious trouble in the supply chain and jeopardize a company’s trades. In technology spectrum, the available IoT sensors are still mostly generic. Depending on what an industry would produce, these sensors will need to change and become more customizable and specific.

IAR Application in Industries

So far, implementation of IAR is seen in the following industries –

• Manufacturing: Boeing is one of the first adopters to put AR in their mainstream production line. A few automobile makers have initiated beta versions of their IAR.

• Military: US Air Force has been using a fully functional AR system for some select models of their air crafts since 1992. Louis Rosenberg was the mastermind behind creating the system.

• Healthcare & Medical: To carry out dangerous surgical operations in sensitive organs, such as the brain and heart, a combination of VR and AR is used by surgeons.

• Education: A picture is worth a thousand words. Imagine how many words a demonstration through AR would be?

• Tourism: Yelp Monocle and Word Lens are two AR based smartphone apps that use augmented reality to provide the user with relevant information.

IAR is the Future

Pokémon Go or Snapchat are fun, but they aren’t the only applications AR is capable of doing. With IAR in the rise, the production lines are going to be more productive and competitive than ever.  Whats your take, do you think IAR will be the next best thing? or is the learning curve too high to be worth the investment?

Greg Conrad is a writer for Ax Control

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Andrei Klubnikin is Senior Content Manager at R-Style Lab - custom software development company (IoT, Web, Mobile) with a representative office in San Francisco, CA and dev center in Belarus, Europe. Andrew is a tech geek interested in everything about IoT, web and mobile development. He’s been a tech blogger since 2011.
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The phrase, “the future is here,” is overused and has evolved into a catchphrase for companies struggling to position themselves in times of technological or digital transformations. Still, the sentiment is understood, especially in times like today, where the Internet of Things is quite literally changing the way we think about hardware and software. We’d like to offer an addendum to the phrase: “The future is here more quickly than we thought it would be.”

Digital transformation, increased computing ability, smart hardware and the growth of connectivity capabilities created a perfect storm of accelerated industry, and many were left scrambling to sift through the large amounts of information and solutions available. With that in mind, we wanted to provide some advice for companies across the industrial sector for the best ways to optimize operations for the Industrial IoT.

1) Upgrade your network and throughput capabilities.

Nothing can kill the ROI of automated processes more quickly than the literal inability to function. It’s important to understand that as you upgrade machinery and invest in the software to run it all, those systems demand greater bandwidth in order to effectively utilize the big data and analytics capabilities. Several options exist, but for most companies some combination of industrial-strength broadband (WiFi), narrow-band, cellular and RF communications will create the most effective network for the needs.

2) Invest in smart hardware.

This may seem like a no-brainer, and really, in the not-too-distant future, you may not even have a choice, but the shift toward Fog Computing is gaining momentum and being able to run decentralized computing between hardware and the Cloud can not only create greater operational efficiency, but it can also allow your data transmission to run more smoothly as well. The beauty of a Fog Computing system is that it allows a greater number of devices to transmit smaller data packets, which frees up bandwidth and speeds real-time data analytics. The core of this lies in the smart hardware.

3) Be proactive about application development.

Smart hardware means that it has the ability to host applications designed specifically for your needs. Previously, many companies shied away from app development because it required highly skilled developers and devices capable of hosting those apps – a combination that wasn’t readily available. Today, the scene has changed. With the rise of Node-RED, it is much easier today to create proprietary applications without a computer engineering degree, and any company serious about leveraging IIoT technology needs to be able to to use the full scope of its data.

4) Secure your communications.

There isn’t much more to be said about the importance of cybersecurity. If the last few years of massive data breaches haven’t rung alarm bells, then you aren’t paying attention. Cybersecurity today is a multi-layered need. Most companies building smart hardware are beginning to build encryption directly into the devices. But, since many companies use Cloud applications for computing and analytics, it is important to invest in strong security measures at that level as well. Unfortunately, the sophistication of cyber-attacks are only going to increase, along with the increase in importance of the data needing to be protected. It pays to be paranoid and act accordingly.

Further Reading:

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Why There’s No Killer App for IoT

Guest Post by Daniel Elizalde

Every new technology trend brings speculation and talk about a “killer app” that will be the solution to all of our problems.

Tech publications and blogs produce countless articles searching for the “killer app” for the iPhone, the Cloud, Blockchain, Artificial Intelligence, and of course, IoT. We’ve also even seen the same hype for development processes. I can’t tell you how many times I’ve heard that Agile is that silver bullet. Or maybe it was Lean, or Kanban? Hard to keep track.

But as a Product Manager, we can’t keep chasing the next big thing all the time. It’s true we need to understand where technology is going, but we need to be more pragmatic and realize there is no single “killer app” for anything. Particularly for IoT.

Is predictive maintenance the killer app for IoT?

Predictive maintenance refers to the practice of adding sensors to collect and analyze real-time data from industrial equipment to predict when it is likely to fail.

I often talk to companies who want to get into IoT by offering predictive maintenance solutions. They are interested not because they’ve spotted a customer need, but because they’ve heard that predictive maintenance is where the money’s at in IoT. In essence, somebody convinced them that predictive maintenance is the killer app for IoT.

It is true that predictive maintenance is getting a lot of traction with industrial companies, but that’s because it addresses a tough problem that those particular companies already had. Not because predictive maintenance in itself is the solution to all problems.

My advice is this: Instead of looking for the killer app for IoT, companies should focus on understanding their customer’s needs and evaluating how they can leverage the Internet of Things to solve those problems in a better, faster, or cheaper way.

In short, by understanding your customer’s needs, you can design the right killer app for that particular customer challenge.

If you stop considering IoT as a silver bullet and instead look at it as another tool in your portfolio, you can move past the hype and start working towards building real solutions.

Other innovative applications leveraging the Internet of Things

To drive this point home, I’d like to share a few real-world applications in use today. Notice that these products are not creating a new category of problems. Instead, they provide more efficient solutions to existing customer problems. These companies understood their customer’s challenge and then leveraged IoT by asking the question, “How can I provide a better solution by acquiring and processing real-world signals from my customer’s environments?”

If you think about it, acquiring and processing real-world signals is one of the key attributes of IoT, so with that in mind, what innovative solution could you create for your customers?

Reducing traffic congestion via smart parking

As cities grow, so does their traffic congestion. And in many cities, a big contributor to this congestion is lack of parking spaces. Think about cities like San Francisco or New York. Drivers spend a lot of time circling around buildings trying to find a parking space. This in turn increases the traffic of already congested areas.

Some cities are looking at IoT to address this issue. By placing sensors on the street and on lighting posts, cities are able to track which parking spots are available and offer this information to companies who can monetize this data via apps or other types of services.

The parking information is also aggregated in the Cloud and allows cities to study traffic patterns to plan for better solutions in the future.

Optimizing waste collection

A company in the Netherlands is using the Internet of Things to track waste through its complete lifecycle. They place sensors in each of their bins to inform waste collectors when the bin is full and needs attention. This allows them to optimize collection routes and minimize the time and effort it takes to collect this waste.

Their collection trucks are also equipped with load sensors that determine, in real-time, the amount of waste that the main disposal center can expect as the trucks approach their destination.

Increasing resiliency in the electric grid

To increase resiliency in the electric grid, utilities around the world are leveraging IoT solutions to detect where power was interrupted so they can send a team to fix it right away. It used to take hours before utilities could determine the exact location of a fault. Today, they have this information in real-time plus they can apply machine learning to anticipate the location where faults are likely to occur.

Helping with conservation efforts

The applications for the Internet of Things go across all industries and verticals. For example, teams in Africaare leveraging IoT to prevent elephant poaching. The teams tag each elephant with a smart collar and track the elephant’s location and motion patterns.

The information collected by the collar is analyzed in the Cloud by specialized algorithms. Some of these algorithms can detect when an elephant becomes immobile, which could be a sign of an attack by poachers. The system sends alerts to the wildlife management bodies who provide fast response.

The Bottom Line

As I mentioned at the beginning of this post, there is no one, single killer app for IoT. Instead, any company can create the right killer app that solves the need of their specific customer, in their specific industry and vertical.

In this post, I shared a handful of examples, but we are seeing applications in all industries, from Healthcare, to Energy, to Smart Agriculture, Smart Buildings, Transportation, etc. Companies in all industries are looking to adopt IoT as the catalyst to improve their existing solutions.

So as a Product Manager, where do you start? Forget trying to chase the killer app. The first step is to have a clear understanding of your customer’s needs.

The second step is to understand how you could improve your solution by collecting and processing real-world signals and therefore, providing a better, faster, cheaper, or more innovative solution to your customer—one that provides a lot of value and they can’t wait to give you money for.

This story was originally published here.

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This is my second analyst perspective based on our IoT Benchmark Research. In the first, I discussed the business focus of IoT applications and some of the challenges organizations are facing. In this post I’ll share some of the findings about technologies used in IoT applications and the impact those technologies appear to have on the success of users’ projects.
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When Internet becomes commonplace, the world will become a smaller place where anything and everything will communicate with each other.

This is why Internet of Things app development has become such a hot topic in the recent days.

“In 2016, global spending on the IoT was approximately $737 billion. IDC predicts that by 2020, it will touch $1.29 trillion with a CAGR of 15.6 percent.”

This make us wonder how much does it cost to build an iot app? As a Digital Transformations company that has developed and launched Iot apps for healthcare, connected cars and connected manufacturing, we feel we are the best fits to answer this question.

The Multidimensional Impact of IoT App Development

There are two things to consider in IoT app development. The cost of building an iot app is also directly reliant on these two things. They are:

  1. App concept
  2. Proof of concept

The App Concept, in simple terms is the idea of the app. It should pertain to an industry, like healthcare, manufacturing, logistics, retail, automobiles, etc. The idea should be to connect and automate a process which was earlier dependent on manual processes.

Example: Collecting pressure, volume or heat readings from factory equipment

The idea should be conceived in such a manner that it can be collaborated or integrated with existing mobile applications for extensive usage and scalability.

The Proof of Concept (PoC) is like a feasibility report for your app concept. It establishes the workflow of your app and proves that it is possible to scale the concept into actual operations. Ideally, the PoC will be implemented in a real-life scenario where its commercial viability can be measured and recorded.

Example:  A manufacturing plant for automobiles that wants to automate its manufacturing workflow at each stage of operations at body shop, paint shop and dispatch.

Once you have sketched out the app concept and proof of concept you will have a precise idea of your app development requirements, like:

  • Hardware
  • Infrastructure
  • App in ioS, Android or Windows

Challenges in IoT App Development

Now comes the tough part. Unlike ordinary mobile app development, developing apps for IoT devices calls for unique set of abilities and infrastructure. The choice of hardware is the primary challenge.

The hardware should be something which has a tiny physical size and also can run for a long span of time without running out of power. The sensor must also have a low power appetite to meet the low cost expectations of an enterprise.

IoT devices primarily connect over a variety of connectivity protocols like Bluetooth, Wifi, Zigbee, RFID, Infrared, etc.

There are also other protocols followed for device identification, sensors, security and devices. The image below depicts how a typical IoT ecosystem is distributed.

Picking the right mix from the above is one of the toughest challenges in getting started with IoT development. The cost of building an IoT solution is also directly proportional to the choices made.


How Long Does it Bring an IoT to Market?


Wireframing, developing and deploying an IoT market is a hypothetical matter. There is no one answer which fits all situations. Depending on the app’s complexity, hardware used, software configurations required, the time required will vary. Some other factors which determine the time to market include:

  • Project size
  • Features involved
  • Dynamic changes 
  • New tech to be included
  • Visual Identification

Further, the cost to develop iot app will also increase or decrease with relevance to the teams involved. For a simple IoT app that can connect a Thing to a mobile app or cloud server will need a basic team consisting of:

  • 2 developers
  • 1 UI/UX designer
  • 1 QA engineer
  • 1 Project manager

For advanced IoT app development, the team requirement will include:

  • 3 to 4 developers
  • 1 UI/UX designer
  • 1 Business Analyst
  • 1 Backend developer
  • 1 Administrator
  • 1 Panel Designer
  • 1 QA engineer
  • 1 Project Manager

Overall, the cost estimation for IoT app development can be summarized as under:

  • Basic App - $3,000 to $8,000
  • Complex app - $8,000 to $15,000
  • Highly sophisticated app - $15,000 onwards

Is this a final quote for iot app development cost? Not exactly. Every mobile app, especially one designed to work with IoT will have dynamic pricing. 

 

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Since many embedded devices are deployed outside of the standard enterprise security perimeter, it is critical that security be included in the device itself. Ultimately, some combination of hardware and software may be required. Building protection into the device itself provides a critical security layer whatever options are used. Security must be considered early in the design of a new device or system.
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Predictive maintenance is the idea of fixing something before it breaks, which can save you LOTS of time and money!

“Don’t Fix It If It Ain’t Broke.” Horrible advice, especially if you run a manufacturing plant.
Any industrial business should really be focusing on predictive maintenance. Predictive maintenance is the idea of fixing something before it breaks. It saves businesses time, money and a lot of frustration.

So What Exactly Is Predictive Maintenance?
Predictive maintenance works by using a number of tools and techniques to monitor the condition of your machines and equipment to help you determine when and where a breakdown might occur so you can fix it before the system breaks down.
Certain components that would normally be replaced at specific intervals can be found to last much longer, by using predictive maintenance.
  • How Does It Help a Company to Use Predictive Maintenance?
  • Preventative Care: Using predictive maintenance, it’s easier to see when and where a tool or machine are beginning to wear. You can replace the part immediately.
  • Prevents Breakdowns: A total breakdown can ruin your business.
  • Eliminates Overproduction: You no longer have to hold on to excess inventory due to possible breakdowns.
  • Minimizes Costs: Replace parts and supplies only when they needed to be.
  • Maximizes Production: Hours of production are no longer lost due to unexpected breakdowns or maintenance issues.

What Predictive Maintenance Tools are Used?

There are a number of tools, supplies, and procedures that your maintenance team can apply.  The great part about these tools is that none of them will interfere with production schedules and your equipment can run at normal capacity.

Here are the tools most commonly used:

  • Vibration Analysis: A trained individual will either use a hand-held device or a monitor built into the machinery. The vibrations will pinpoint where wear is showing, on parts like shafts and bearings.
  • Sonic and Ultrasonic Analysis: Works in a similar fashion to thermal imaging.
  • Thermal Imaging: Using infrared thermal imaging, you can easily spot where the problems are. The heat from the worn component will show up as a hotspot on the imaging.
  • Oil Analysis: Allows you to check the oil for any potential leaks. This will show you what is leaking and where. Helps you check for particles and liquids.
  • Emissions Testing: Finding out what types of gasses and what else is in your effluent will tell you a lot about the current state of your equipment. It will also help you reduce environmental emissions.
  • Condition Monitoring: Using sensors, you can easily detect when things go wrong. You can also set it up to monitor everything from an outside location.

Are There Downsides?

Up front, the initial costs for implementing a predictive maintenance plan can be expensive.
It requires a high level of skill and experience to effectively monitor and accurately interpret the machines.

The initial cost of the condition monitoring equipment is also high.  However, if you have more than a few machines, it most likely will prove to be a cost-effective decision to implement a predictive maintenance plan for your manufacturing business.

For larger manufacturing companies, there has been a big move toward implementing predictive maintenance.  In fact, by 2024 predictive maintenance is expected to grow worldwide to $3.2 Billion.

Perhaps it’s time for your company to join the movement?

Implementing a new system is never something to be taken lightly. It’s important to have all the facts before making a decision.

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Top 6 Skillsets Required for IoT

IOT is a system of interrelated ‘things’ that are connected over a network and can send and receive data over it. A ‘thing’ in IOT can be thought of any man made or natural thing that can be assigned an IP address, for example, a man have a heart monitor implant or a car having sensors to alert the driver of any abnormal condition.

What do I need to have?

According to a survey, as of now we just have 300,000 IOT experts, but we might need as much as 4.5 million IT people having IOT expertise in future. IOT in a midst of explosion, but the problem is the lack of talent regarding this field. If you will have the following skill sets of IOT will surely benefit you in future.

  1. Machine Learning- expertise in this field will take you a long way. Machine learning algorithms make the machines smarter by giving them the ability to predict by recognizing the data patterns. According to an IT expert this skill is 220% more in demand in the market because employers want to harvest the large amount of information using the machines and their sensors.
  2. AutoCAD- this is software that enables you to engineer appliances and have a very strong growth as the complexity of the machinery related to IOT goes on increasing. Smart and connected things often require a whole new set of thinking principles and hence there can be a change in the design at the very last moment. AutoCAD helps in making any change even at the last moment quite efficiently and expertise in this field is said to have a weightage of 108% when compared to other skills.
  3. Security infrastructure- with the presence of such sensitive information over a network the apex concern of any employer has to be its security. Due to the complexity of the IOT devices the endpoint security gives a lot of attention. Everything that is available on a network is prone to theft and a risk of information leak, hence having a skill around security comes as a critical factor for your success in it.
  4. Data management (Big Data) - IOT has an enormous amount of data revolving and every day there is an addition to it. Companies need to collect all the data and also filter the repetitive one. The data needs to be so managed that it gives an accurate estimation of the business so that ways to growth can be taken out of that. Using artificial intelligence along with big data can help the companies get the results faster and more efficiently.
  5. Electrical engineering- the future needs an apt team up of software engineers and electrical engineers. Electrical engineers are needed to help with embedded device development for mobile applications and for radio frequency in order to get a smooth and effective mode of communication.
  6. Circuit design- connected devices are forcing the companies to adjust and adapt chip design to meet their requirements. For example- systems that require power for a longer span of time are required to have a chip that takes care of their power consumption and keep it optimized.

Conclusion

IOT is a revolution in IT that will certainly increase the number of jobs that are available in this sector. Moving with time and learning new things is the only way to proceed and become succeed.

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There is an ongoing transition from a world where having an internet connection was sufficient, to a world where ubiquitous connectivity is quickly becoming the norm. The ability to gather and transport data at high speeds from anywhere is leading to increased automation, smart-everything (vehicles, homes, appliances – you name it), and a standardization of languages and protocols that make the possibilities nearly endless.

Recently, IEEE and Eclipse Foundation completed surveys that provided a snapshot on tools, platforms and solutions being used by engineers and programmers alike to build the Internet of Things. According to Joe McKendrick for RTInsights.com, there were several notable conclusions to be drawn from the results, including the revelation that, of the 713 tech professionals surveyed, nearly 42 percent said their companies currently deploy an IoT solution, and 32 percent said they will be deploying/working with an IoT solution over the next 18 months. Additionally, RT Insights writes:

“In terms of areas of concentration, 42% report they are working with IoT-ready middleware, while 41% are concentrating on home automation solutions. Another 36% are working with industrial automation as part of their IoT efforts. One-third are working on IoT for smart cities, and the same number are building smart energy solutions.”

An interesting note from those conclusions is that 36 percent are working with industrial automation as part of their IoT efforts. Earlier this year, we predicted that Industrial IoT (IIoT) app development would outpace consumer IoT apps, and although this sample size is somewhat limited, it still bodes well for the development of the IIoT sector that is just starting to come into its own.

Among IoT developers, there has been a bit of debate over the programming languages that best suit IoT apps. There are situationally appropriate uses for the main languages, but currently, the majority of developers prefer Java and the C language. For developers, being able to build out IoT apps that can work across platforms is a giant step toward standardization. Specifically, in the Industrial IoT, being able to build apps that can function at the Edge to enable smart data collection is a becoming an unofficial mandate for any companies hoping to transition legacy OT operations into the IT/OT convergence movement taking place across critical industries.

Of course, building apps is a meaningless task if the hardware being deployed can’t host those apps, a finding that was demonstrated by the survey:

Hardware associated with IoT implementations include sensors, used at 87% of sites, along with actuators (51%), gateways and hub devices (50%), and edge node devices (36%).

This Edge functionality and sensor deployment are two pieces that are driving the adaption of IoT technology across industries that have traditionally relied on data as the main tool for decision making. However, with smarter hardware, these industries now have the opportunity to improve the efficiency of that decision making – a transformative capability in the industrial realm.

Join FreeWave’s ZumLink IPR Pilot Program!

IIoT App Development with Java, Python and C++ languagesWhat if you could…..

  • Collect, analyze and react to data in real-time at the sensor edge?
  • Reduce BIG DATA that clogs data pipelines?
  • Minimize the cost of expensive PLCs?
  • Control your sensor at the closest touchpoint?

The ZumLink IPR App Server Radio combines 900 MHz wireless telemetry with the ability to program and host 3rd party Apps for intelligent control and automation of remote sensors and devices. To participate in the pilot program, visit: http://www.freewave.com/zumlink-ipr-pilot-program/.

Pilot Program participants:

  • Receive a complimentary hardware/software Dev Kit
  • Get support from FreeWave software engineers
  • Should have App developer’s skills

Let’s discuss:

  • Use cases that would help you or your organization solve a problem
  • Problems you would like to solve
  • Developers that could build this App
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Sounds similar to jargons from the movie ‘Back to Future (1985)?

Hold yourself together. A part of the world has already started using it.

If you have a light memory turning off switches or managing home appliances, these IoT technologies are going to be your guardian angels.

Let’s find how the above ‘jargons’ will become a part of your life. Also, for the geek in you, their modus operandi is also described.

#1 Adaptive Lighting

IoT can make your home lighting system smart enough to adjust its brightness or to switch off automatically by sensing its surroundings. With IoT adaptive lighting your, indoor lighting systems will turn themselves off when there is no one in the house, or adjust the brightness according to external lighting conditions to give minimized energy consumption.

Companies like LG are taking it to forward to manufacture lighting systems that will turn on by default along with alarm clocks or to flicker when there is a telephone call or movement is sensed. Adaptive lighting relies on motion sensors and optical sensors to gather metrics about its immediate surroundings based on which the lighting systems function.

#2 Responsive Thermostats

Thermostats that auto adjust the temperature and power consumption according to external climatic conditions is a boon for any household. Smarter thermostats can learn the usage pattern of family members and alter its functions accordingly. Going a step ahead, these responsive thermostats can even connect to the Internet to receive updates about family members and change the power consumption and internal temperature control.

For instance, if you are away from your home for a very long time, the thermostat will reduce the power consumption to a bare minimum, or send alerts when the equipment malfunctions. Amazon Nest is a classic example of responsive thermostats. They use heat and climate sensors to decide at what optimum temperature the thermostat must run for best performance.

#3 Autonomous Security Systems

IoT will foster a breed of homes and offices where physical keys, access cards or even tokens will never be needed. Sensor based security systems can be programmed for allowing entry, locking or alerts in case of a break in. Advanced IoT applications also allow integrate your home security system for communicating with your smartphones. These autonomous security systems will work based on movement sensors or proximity sensors.

#4 Connected Appliances

How many times have you missed turning off the oven? Or the washing machine? Or the coffee machine and the endless list of other home appliances? With the oncoming wave of IoT, connected appliances will empower homeowners to control their entire suite of home appliances using their smartphone or remote controls.

Two of the classic examples of connected appliances are: Smarter’s WiFi coffee machine that brews fresh coffee even when you are lazing around or the Electrolux CombiSteam Oven that can be controlled anywhere using your smartphone.

#5 Surface Remote Controls

Surface remote controls can turn any surface (like a desk, wall, floor, etc.) into a remote control. Surface remote controls allow users to control several domestic settings like lighting, control connected appliances, open/close doors, switch on/off TV, wifi, music system, etc.

Image source: knocki

These devices are equipped with programmed sensors which can communicate with other IoT devices to do desired actions. Surface remote controls can bring about a revolutionary level of comfort not just in homes, but also offices, factory floors and public spaces. Knocki is one such device that can turn any surface into a remote control.

That brings us to the conclusion. Be informed that this is just a tip of the iceberg. IoT is an ocean of opportunities and these five hints at how homes of the future will look and function like.

Contus, the digital transformations company is creating a whole new breed of IoT connected systems under its ambit of services titled Contus Connect.

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The IoT needs to be distinguished from the Internet. The Internet, of course, represents a globally connected number of network, irrespective of a wired or wireless interconnection. IoT, on the other hand, specifically draws your attention to the ability of a ‘device’ to be tracked or identified within an IP structure according to the original supposition.
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The widespread use of the Internet of Things (IoT) is systematically impacting worldwide growth in online transactions, and research from Gartner underscores that this trend shows no signs of waning.

This compounding growth in connected devices and their use in online transactions has created new challenges for merchants trying to stay compliant with a complex web of global ecommerce regulations that vary by country and state.

As merchants bear the burden of regulatory compliance, they need to be able to quickly adapt to changes to ensure competitive advantage and sustained success.

Take the popular “driver for hire” company Uber. A few years ago in India, Uber’s largest market behind the U.S., the government closed a loophole in a 2009 law. The amended law required two-step authentication (with verification codes sent via text or email) for any “card not present” transaction. In other words, the ease of the Uber app’s payment system was now illegal for the sake of added consumer protection.

This not only put the company at risk of noncompliance in India, but the change could have shut down the company’s operations in India altogether. Even though Uber acted quickly and updated its app, consider the potential negative consequences had it not been able to pivot: heavy fines, potential lawsuits or, even worse, allowing an opportunistic competitor to strategically enter the region. The ability to nimbly pivot when facing unexpected changes is what has, in part, given industry leaders like Uber market dominance.

This past November, the EU introduced legislation banning unjustified geo-blocking between European member states to boost ecommerce across the region.

Geo-blocking is a discriminatory practice preventing customers from making online purchases outside of their resident nation. With the new legislation, a consumer in France, for instance, can purchase goods off a German ecommerce site instead of being re-routed to the French site, where prices may be higher.

This measure was made to promote – rather than restrict – commerce in the EU , forbidding traders from blocking or limiting customer access to their online interface based on nationality or place of residence. And while the new legislation provides a tremendous advantage for the consumer, it forces merchants to adjust how they’d previously done business. Opening up the market, merchants not only lost their price discrimination leverage, but also had to ensure they updated their payment processing and other systems to avoid business disruption and remain compliant. Ultimately, those that are flexible enough to address these requirements will thrive over less nimble competitors.

One thing is certain for merchants: as consumers buy more online, merchants need to prepare for the unexpected. The previous examples just scratch the surface when it comes to adjusting for new ecommerce regulations. Many questions remain unanswered when it comes to commerce and consumer protection, namely: 

  • Will products enabled with automated subscription services (think Tide detergent ordering replenishment pods) have a required notification period before an order is placed?
  • Will a consumer’s electronic signature be required before an order is authorized, as in the Uber example above?
  • Does information that is collected and related to health and wellness, such as fitness tracker/health band data, fall under the protection of additional medical regulations like HIPAA (in the United States)?

How merchants navigate this murky regulatory landscape is critical. Each new regulation can reset the competitive playing field, making flexibility a company’s most important asset.

Companies have every reason to be opportunistic as regulations shift and new opportunities arise. The trick is to put your company in a position to turn the inevitable complexity of global commerce compliance into a competitive advantage – something that may be giving merchants headaches now, but will be well worth the pain once the groundwork has been laid.

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The rise of the Internet of Things was just the beginning. There is something much bigger brewing. It’s called the Internet of Everything — otherwise known as IoE. Instead of the communications between electric-powered, internet-connected devices that the IoT allows, the IoE expands it exponentially. The IoE extends well beyond traditional IoT boundaries to include the countless everyday, disposable items in the world. If the IoT is the solar system, then the IoE is every galaxy in the universe.
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Smart IoT - Generate Greatest Value

Digital Transformation

We have now entered an era with a new virtual revolution, particularly, the Internet of things (IoT). The virtual revolution marks the starting of information age. We use the Internet almost every day. The net has turned out to be one of established ways for us to work together, to share our lives with others, to shop, to teach, to research, and to learn. However  the next wave of the Internet isn't about people. it's far about things, honestly?

All about IoT

IoT is defined as the network of physical objects that can be accessed through the Internet. These objects contain embedded various technology to interact with internal states or the external environment.

IoT is characterized as "the figuring frameworks of sensors and actuators associated by systems, where the processing frameworks can screen or deal with the status and actions of connected objects and machines, and the connected sensors can likewise screen the characteristic world, individuals, and creatures." The center of IoT is not just about interfacing things to the Internet. It is about how to generate and use the big data from the things to make new values for individuals, and about how we empower new trades of significant worth between them. In other words, when objects can sense and communicate, IoT has its knowledge to change how and where choices are made, and who makes them, and to pick up a superior esteem, solution or service.

Smart IoT

Fundamental to the estimation of IoT is in actuality the Internet of smart things (smart IoT). Supported by intelligent optimization, smart IoT can increase productivity of work and enhance quality of lives for people. Let us take “cities” — the engines of global economic growth — as an example. Smart cities have the potential to dramatically improve the lives of everyone. In intelligent transportation systems (ITS), smart IoT can not only monitor the status of the transportation, but also optimize traffic signal controls to solve traffic congestion and provide the travelers with better routes and appropriate transportation information, etc. Combining IoT and machine learning (ML) can also make our roads safer. Profits by smart IoT have been shown also in health-care, logistics, environment, smart home, in the aspects of better quality, energy conservation, efficiency increase, and so on.

Smart IoT remains in its infancy now in terms of the technology  development and the effect on our global economy system and our daily lives. Maximum IoT statistics aren't used presently within the era of big data. Maximum IoT has no intelligence inside the generation of artificial intelligence (AI).  IoT which might be used these days are on the whole for anomaly detection and control, as opposed to optimization and prediction. Given the brilliant anticipated increase of the Internet over the following 10 years, it is considered one of vital challenges and possibilities for us to invent and practice in real-global programs on a way to make the IoT smarter to generate the greatest value.

 

 

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What if you could browse an online grocery store, add products to your shopping cart and complete your order right on your smart fridge’s screen using your voice instead of touch interactions? Does speaking to your fridge sound weird? Not at all. At least when you have a friendly, voice-powered shopping assistant integrated with your refrigerator.
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The IoT chip technology constitutes hardware such as processors, sensors, connectivity ICs, memory devices and logic devices which are used in IoT-enabled devices. The exact growth of this technology in market are the increasing demand for application-specific MCUs and flexible SoC-type designs and increasing investments by major giants of this industry in the IoT market.

Accroding to the research news, The IoT chip market is expected to reach USD 14.81 Billion by 2022 from USD 5.75 Billion in 2015, growing at a CAGR of 13.2%. The growth of the automotive and transportation application was primarily driven by the development of intelligent transportation systems (ITS) and high potential for the growth of connected cars.

The IoT chip market for the retail end-use application is expected to grow at the highest CAGR from 2016 to 2022, followed by wearable devices. The rising demand from customers for easier and better shopping experience would drive the use of IoT in the retail application as it would help customers to reduce checkout times, facilitate easier payment procedures, and enable a comparative cost analysis.

Research said, North America held the largest market share of the global IoT chip market in 2015, where as APAC is expected to grow at the highest CAGR from 2016 to 2022 owing to the huge investments by the companies for the development of IoT.

For more details you may refer: http://www.marketsandmarkets.com/Market-Reports/iot-chip-market-236473142.html

IoT Chip Market Scope:

By Hardware: Processors, Sensors, Connectivity IC's, Memory Device, Logic Device.

By End-Use Application: Wearable Devices, Healthcare Sector, Consumer Electronics, Building Automation, Industrial, Automotive & Transportation, Agriculture, BFSI, Retail, Oil & Gas.

By Geography: North America, Europe, Asia-Pacific, Rest of the World (RoW).

Popular industries involved in IoT (technology) market:

The companies that are profiled in the IoT Chip report are Intel Corporation (U.S.), Qualcomm Incorporated (U.S.), Texas Instruments Incorporated (U.S.), NXP Semiconductors N.V. (Netherlands), Microchip Technology Inc. (U.S.), MediaTek Inc. (Taiwan), STMicroelectronics N.V. (Switzerland), Renesas Electronics Corporation (Japan), Huawei Technologies Co., Ltd. (China), NVIDIA Corporation (U.S.), Cypress Semiconductor Corporation (U.S.), Advanced Micro Devices, Inc. (U.S.) and Samsung Electronics Co., Ltd. (South Korea).

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