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Security systems installed in a typical facility consists of cameras, access control, intrusion sensors and fire alarms. Typically, these devices are places behind a firewall on a dedicated network. Building control systems are installed on a secondary network can contains lighting, HVAC, fire protection, elevators/lifts, chillers and air/moisture sensors. These systems serve their purpose and will continue to be adapted and make facility systems design more complicated. This complexity can be controlled using common development tools and platforms. Not only will this approach make the process of creating smarter, safer, more energy efficient systems but will also reduce the number accidental deaths and injuries that occur every year.

 

The redundant network design approach is not a very efficient nor cost effective way of operating a facility. This is starting to change as savvy building managers are making the decision to integrate security and building control systems and map them onto a single network. This can entail integrating multiple disparate systems, sensors, NVR devices and video management software. The concept of integrating a camera or access control system to an HVAC system, or a visitor/facility management system or edge recording device to a lighting or fire protection system may seem unusual to some. Yet, this is where many security systems integrators and manufactures are missing out on untapped applications and services opportunities. Modern integrated security and building systems can give facility managers and security directors the tools to improve, simplify operations and reduce the efforts of the operations staff and points of control teams.

 

In the past, the security industry has relied on it’s own approach to integrated systems know as physical security information management (PSIM). PSIM attempts to provide an open architecture to integrate multiple security system products into a single operating platform. This approach has been very hit-or-miss and has left a bad taste in the mouths of systems integrators and end-users. On the flip side of the coin, facility managers have their own integration platform known as a building automation system (BAS). As it relates to physical security, BAS systems are intended to integrate with PSIMs and control individual security systems. However, BAS systems come in many different flavors; many of them are not viewed in a glowing light by building operation end users. Past integrations are not all filled with doom-and-gloom. There are some successful integrations attempted by the collaborative efforts of building controls and physical security organizations. The question is why is this design practice not more common where the benefits and economics make sense?

 

In order to facilitate the adoption and implementation of an integrated system the use of open standard protocols is an absolute must. The building automation industry created BACnet and LONworks which allow for real-time remote connectivity between sensors, actuators, controller devices and software. In the case of LONworks, hardware manufactures have the ability to include a chipset with built-in building control system support. It took some time, but finally the security industry created the protocols ONVIF and PSIA. These open architectures allows the end-user to choose vendors selecting either security or BAS equipment based on features and price. The end-user can also decide to install partial system upgrades without the risk of making costly investments in obsolete legacy systems. With that said, The security industry is curious about implementing the building controls protocols but needs an easier way to integrate them into their hardware and software products in an ad-hoc applications based manner.

 

There are security directors that are not completely sold on the idea of integrating with building control systems. On the other hand, facility managers may question the benefits of sharing a network with security systems especially when functions do not overlap with life-safety systems. However, system integration between building controls, physical and now cybersecurity offers more than just staffing convenience and operational efficiency. Here are a few results from a truly integrated security system.

Faster Response to Incidents – With the use of a robust mobile software solution and integration approaches such camera-to-access control-to-lighting or HVAC staff members can be freed from a console which makes them readily available to respond to incidents or equipment failure.

Provide more accurate compliance reports – Data provided by building controls and security edge devices can be paired with artificial intelligence technologies such as neural networks and genetic algorithms. This helps facilities to comply with government regulations with regards to security.

Reduce accidents and save money – Integrated systems provide better control of building and security systems. For example, if some accidentally stumbles into a restricted area or manages to make it to overly heated or chilled area the access control system, Variable air volume (VAV), or other HVAC system components can send alerts and create historical trend reports. Also a single network architecture can make managing system components easier.

 

Integrated building control and security systems are gaining some traction. However, it is still not a mainstream approach among many manufactures and systems integrators. One proposed solution is to utilize a common platform that is utilizes the industry protocol standards as application and system component building blocks.

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If you are planning to innovate your business and disrupt your niche with the Internet of Things, it may not be as easy as it seems. There are quite a few things that you need to be prepared with, and you should know certain facts about the technology before starting out.

Before anything else, it is important for you to be patient, understand the nuances of the technology and know how best to incorporate it into your business.

It is true that your IoT product will differ from what your competitors are planning to offer and in the technologically driven environment, it is important to differentiate. But, there are underlying patterns that cannot differ, which is why you need to know the basics of IoT before getting started.

So, are you ready to know them?

#1 Start with Design Thinking

When you are surfacing a company with IoT at the core, it is important to think slightly different. All your life as a businessman, you have thought of tactical ways to get your business started, focusing on objectives and goals. However, when you are dealing with IoT, your focus will need to differ. The idea is to think from the user’s perspective and create a framework that will create more practical and usable approaches.

The design strategy should be your first priority. You need to know how and what will work when you are designing for the users. There are a few things you might want to know before planning the design.

What is it that your users need? When we automated home ACs over WiFi, the purpose was to allow remote access, and not keep an eye out for another remote. Once this point is cleared, you may want to think of path defining solutions for the basic idea. The remote needed to go obsolete, which is why the path defining idea was to convert your mobile into a remote. Finally, you will need to build the prototypes and craft a story around it. The idea is to define a product that talks for itself.

#2 Workaround security

When you are working on an IoT-based startup, you might want to think about a security-first solution. You will need to protect the data that can be availed from the connected device so as to offer better security. Remember, the security for IoT based solutions are complex and difficult as compared to a regular security need. If there are more connected devices in the network, the security threat grows and you will find it difficult to control and manage.

So, when you are planning an IoT solution, you will need to think of security before you plan anything else in the device management or define other aspects of the solution.

#3 Managing the costs

Like with any other venture, you will need to think IoT solution development cost. There are costs involved in every stage, and these costs evolve through your development phases.

For instance, let’s start with the development cost of the IoT solution. From planning to actual feature selection to development with connected devices, there are various phases that you need to manage and work around.

Similarly, introducing security into your IoT solution will cost you, which you need to think about before panning it out. Finally, you will need to plan for the operation and maintenance costs of the IoT business, which requires either bootstrapped funds or investment, if you want to survive in the long run. Remember, the IoT business will not get your immediate returns on the investment.

#4 Scaling is different

The scaling of your IoT business works in a different manner from the scaling of other businesses. If a business works at a particular size, it is not necessary it will work for other sizes too. So, before scaling, you will need to figure out will the scaling manage the increased needs and demands of your company. The prototype scaling would differ from the actual business scaling.

Conclusion

IoT businesses are different from the normal businesses, and you will need to understand the nuances before you start building the prototype and acquiring customers. It is more user-oriented and works with a focus on the end goal to be achieved. If you are planning an IoT business, you should ideally consult a professional before starting with the strategies.

 

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The dream of making money with IoT, AI and Blockchain

Have you ever think about how could you make money with the Internet of Things (IoT) or Artificial Intelligence (AI) and of course with Blockchain?  What would happen if you could use the three of them in a new business model?.  Apparently, Success, Success and Success.

In the next sections I provide information of some business models implemented with these three technologies.

IoT Business Models

As IoT moves past its infancy, certain trends and economic realities are becoming clear. Perhaps the most significant of those is the realisation that traditional hardware business models just don’t work in IoT. Take a look at “The top 5 most successful IoT business models” that have emerged as particularly effective applications for IoT.

If any of you is building an IoT product, this article ” IoT Business Models For Monetizing Your IoT Product”  show how to make money with IoT.

Zack Supalla, the founder and CEO of Particle, an Internet of Things (IoT) startup, suggest “6 ways to make money in IoT”.

Finally, in “How IoT is Spawning Better Business Models” we can read three ways companies like Rolls Royce, Peloton, MTailor or STYR Lab  was rethinking their business model and have created revolution in the marketplace. 

Blockchain Business Models 

It sounds repetitive, but yes "Blockchain technology may disrupt the existing business models”. The authors´ s findings concerning the implications of blockchain technology for business models are summarised in the following picture.

 

Do you think that blockchain will likely to cut into big-players’ revenues? Then, this article: “New Blockchain-Based Business Models Set to Disrupt Facebook and Others”, is for you.

If you are ambitious and you are planning to build a viable business on blockchain, then read “Building an International Business Model on Blockchain”.

I am also an advocate of the coming era of decentralization (at least in my most optimistic version) and Blockchain is a step more to create value when the End of All Corporate Business Models will arrive.

AI Business Models 

Companies from all industries, of all shapes and sizes are thus faced with an important set of questions: Which AI business models and applications can I use ? And what technologies and infrastructures are required?.

It seems that we all are convinced that artificial intelligence is now the most important general-purpose technology in the world that can drive changes at existing business models. Not surprised then, that  AI is Revolutionizing Business Models.  The “data trap” strategy, that in venture capitalist Matt Turck’s words consists of offering (often for free) products that can initialize a data network effect. In addition, the user experience and the design are becoming tangibly relevant for AI, and this creates friction in early stage companies with limited resources to be allocated between engineers, business, and design.

This article introduces  some good examples of AI business models :

New Business models with the intersection of IoT, AI and Blockchain

With IoT we are connecting the Digital to the Physical world. Connected objects offers a host of new opportunities for companies, especially in terms of creating new services. The amount of data generated by the billions of connected objects will be the perfect complementary feed to many AI applications. Finally, blockchain technology could be used to secure the ‘internet of things’ and create smart contracts in a decentralized infrastructure that boost the democratization of technology and creation of sustainable communities.

You must remember that new business models that include IoT, AI and blockchain need among other characteristics: Volume and Scalability. Volume of devices, Volume of data, Volume of customers, volume of developers and powerful ecosystems to escalate. 

Good luck in your search and implementation of your new business model.

Thanks for your Likes, Comments and Shares

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Too much time waiting for the IoT year

After years of waiting for my wishes to finally come true that it was finally the year of IoT, I give up. There will be no IoT year. Other technologies are usurping the dubious privilege of leading the technology bubble. Blockchain and Artificial Intelligence are now much cooler.

As has happened on many previous occasions, the IoT will be replaced by other acronyms that will make you forget bad experiences and failed expectations. And with the new acronyms the illusions of those of us who continue to trust in the beneficial implications that the "new IoT" will bring to society will appear again.

Event Organizers were the first to notice the decline of IoT

The first to realize this situation were the organizers of IoT events. If a couple of years ago the weight of the new secondary on stage (Blockchain and AI) did not seem worrying to detract from the main actor (#internetofthings). Now they are the stars and the IoT is marginalized and surrounded by other technologies, badly hurt and melancholy.

Quo Vadis IoT events ?

Will IoT events disappear? Sure. Doesn’t matter if is in 2 or 3 years, but IoT only events will not make sense. In the last 3 months I attended several IoT events in London, Amsterdam, Madrid, Bilbao. I see a slow decline and transformation of #IoT events. Most of them do not satisfy my expectation. I am tired and saturated of see the same tired case studies parroted over and over again.

As my friend Rick Bullotta, I'd like to see some more innovative stories, some failure stories/lessons learned, some HARD FACTS about how long it looks to build, what it cost to build, return on investment.

Of course, we will continue seeing IoT companies, products and services in the Big Events like CES in Las Vega, MWC in Barcelona or Cebit and Hanover Messe in Germany or in industry specific events or company specific events like PTC LiveWorx or Bosch ConnectedWorld .  But the same way that we do not see today Internet events we will not see Internet of Things events beyond 2020. It will be a good sign because the Hype will have disappeared and the reality and the market will have been imposed.

                                                 Thanks for your Likes, Comments and Shares                  

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Top IoT Startups to Invest in 2018-19

With the IoT surfacing as the next great destination for investment, many industry titans are scrambling and fiercely competing to seize their share of the revenues in the IoT market. Currently, IoT is at the core stage of industries like energy management, healthcare, logistics, manufacturing, and transportation. In convergence with various technologies like blockchain, AI, and edge, IoT has the potential to disrupt all the aforementioned verticals. Companies like IBM, Intel and Cisco are swiftly investing in the IoT technologies to take a lead in next era of technology. The adoption of IoT in all industries is becoming so vital that tech giant, Microsoft has announced to invest $5 billion in IoT over next four years globally.

 

A report from IDC states that the worldwide Internet of Things market will grow from $656 billion in 2014 to $1.7 trillion in 2020 with a compound annual growth rate (CAGR) of 16.9%. As per the report, connectivity, devices and IT services will be responsible for the majority of the IoT market in 2020. IDC estimates that all the three services will account for over two-thirds of the worldwide IoT market in 2020, with devices (modules/sensors) alone representing 31.8% of the total. With the increase in market size, the investments in IoT globally shall rise from over $800 billion in 2017 to nearly $1.4 trillion in 2021 indicating a worthy investment with quick ROI. Current investment in IoT holds a promising return as the adoption of IoT increases with market size and spendings. As investment is worth in IoT, it is now important for investors to know which startup having innovative technology would be ideal for them to invest in. The number of startups in the IoT rose rapidly from just 13 in 2013 to 189 in 2014. Following is the list of top startup companies using innovative technologies like blockchain, AI and edge which will aid an investor in selecting an ideal company.

 

Discovery IoT

Discovery IoT is a revolutionary solution that enables brands to track their products through their supply chains, accurately on a real-time basis. They are developing a tag, Cliot, which will hold the ability to track products with embedded sensors and is built at the cost of $0.10. With IoT in convergence, Discovery is using the latest technologies like blockchain, AI and edge computing (mesh network) to solve current problems including stock-outs/empty shelves, product obsolescence/expiry etc., faced by the supply chain industry. Participation in Discovery’s sale will be the next best destination for investors as their solution will soon be adopted by a massive audience. The pre-sale of DIS tokens will be made available for a limited period starting from June 15, 2018 and ICO will be made available for 6 weeks starting from August 1, 2018. They will abate bonuses as per rounds, to attract more investors, keeping in mind that the early investor gains handsome return. Discovery has a strong team lead by Selvam VMS, Co-Founder & CEO, a veteran in the field of supply chain management with more than 10 years in the domain. He is accompanied by Kumar T, Co-Founder & CTO, a techie with more than 15 years of knowledge and experience in the areas of IoT and AI. Also, they are supported by various professionals, experts and senior advisors like Aly Madhavji and Nandakumar Balanujan with 36+ years of experience in supply chain; and incubated by the Blockchain Founders Fund.

 

IOTium

 

IoTium is a startup based in California with an aim to advance secure network infrastructure for the industrial Internet of Things. Their Network as a Service (NaaS) solution is designed for the building automation, industrial automation, oil and gas, manufacturing, transportation and smart city industries, empowering them to securely connect legacy onsite systems to cloud-based applications to leverage new analytics, machine learning, and predictive analytics applications. Till date, IoTium has secured $8.4 million in Series A funding and is backed by investors including GE Ventures, March Capital, and Juniper Networks, as well as Pankaj Patel, former Executive Vice President and Chief Development Officer at Cisco. The funds have been used to expand its trail in the oil and gas, transportation and smart city industries with the launch of the IoTium NaaS. This investment has helped them in a recent distribution partnership with The Panel Shoppe and a building automation firm, Relevant Solutions.

 

 

Evrythng

Evrythng is a startup based in London, New York, and San Francisco which creates IoT and smart solutions to make products more intelligent and interactive. They collect, manage and apply real-time data from smart products and smart packaging to drive IoT applications. The company aims to ensure that connected devices can be managed and enhanced through real-time data and analytics throughout the full product lifecycle. This includes assigning digital identities to devices which allows them to be tracked and thus driving IoT a step further. This provides businesses with insights into their supply chains and consumers with awareness of the counterfeit product. The startup has secured $42.3 million in four funding rounds with lead investors being-  Sway Ventures, Atomico, and BHLP. The company's clients include Coca-Cola, Avery Dennison RBIS, Crown Holdings and West Rock.

 

Notion

Notion, an IoT startup based in Denver, Colorado, provides home security and monitoring through adaptable sensors. The low-cost sensors can be used to monitor unauthorized entry and take temperature readings of a user's home. Notion’s small sensor can be placed near doors and other locations around the house to monitor motion, temperature, water leaks etc. The startup has secured $16 million in funding by following a solid crowdfunding campaign on Kickstarter through six investment rounds and has used the funds to expand the development of home sensor products and to tap into the insurance market. It has attracted audience and investors including Draper Nexus, Translink Capital, Mesh Ventures and XL Innovate.

 

Conclusion

 

Starting from home devices to industrial machines and automobiles, it is widely speculated that the next tech revolution is likely to be spurred by the ability to connect things. Therefore, the tremendous interest generated in IoT evident from the growing number of startups and mounting investments is a testament to IoTs potential to create enormous business opportunities around the globe. As the technology is yet to mature and the market for it is far from being saturated, the time is ripe for investing in IoT based solution providers.

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With any security system involving a human component, there’s a careful balance between requisite security measures and the user experience. The reason most of us have one or two locks on our front door – instead of twenty – isn’t because we don’t want more security, it’s that the experience would be far too much of a daily hassle.

When it comes to IoT security, the balance is askew in the other direction: the marketplace is glutted with lower end IoT devices that privilege a simplified user experiences over robust security. While this strategy allows consumers relative ease and a frictionless process in activating smart home and other internet-connected products, this devaluing of security leaves a virtual unlocked front door for malicious hackers who have little difficulty in accessing these devices. A largely unsecure IoT industry is proving time and time again to have significant and harmful repercussions, in the form of the mayhem that hackers can inflict on vulnerable users, and for the internet at-large as devices are corrupted for use in devastating IoT botnet-based DDoS attacks that continue to make headlines.

The need for security is, of course, a major issue that the IoT industry must overcome. Even as Gartner foresees the IoT rapidly expanding to 20.4 billion devices by 2020, a recent market survey finds that 90% of consumers do not have confidence in the security of IoT devices. In the same way, IoT security – and customer confidence in it – is just as important to the enterprise, as commercial IoT applications may provide personalized services that utilize sensitive data, involve monetary transactions, or offer other features requiring authentication that is unquestionably safe and frictionless for customers. Altogether, this makes IoT security a key concern that absolutely must be resolved for the IoT industry to have longer term staying power and to reach its full potential.

Passwords are (rightfully) going extinct

Passwords continue to be the default option for account security across all industries. While common, they’re also an overly complex user authentication method that are becoming less effective in securing access, while also becoming more frustrating and challenging from a UX perspective.

Forgetting your password requires ones to waste time with reset emails and security questions – if we can remember them -  a cumbersome process equivalent to fumbling with twenty door looks.  And beyond delivering a subpar UX, most IoT devices are manufactured without a traditional security interface (no screen, no keypad), leaving passwords a poor candidate for IoT security and leading enterprises across industries seek alternative and more secure ways for authenticating users.

Biometrics are the answer to the IoT’s present – and long term – security needs

Biometric security measures are growing in popularity and in widespread use.  Smart phone users are deploying fingerprint identification or facial recognition to unlock screens. Alexa, Siri, and other voice-activated tools have made talking to your technology commonplace, increasing demand for voice-based authentication as a common security solution.

The biometric approach to security is particularly well-suited to the IoT, though, and offers a compelling synergy with the desires of today’s businesses to establish more personalized interactions and relationships with customers. As demonstrated by the rise of chatbots, brands are evolving to include personalities that go beyond mascots and logos. Businesses want the customer’s brand experience to feel familiar – acquaintances and friends don’t require identification when they see you.  Biometric authentication enables a more natural and passive experience, whether that’s opening the smart home lock on your front door, activating IoT devices inside, or interacting with brands and their products by other means.

In addition to the stylistic advantages, several technical advances have enhanced the current viability of biometric security for the IoT. The memory footprint of biometric security algorithms are getting smaller while also getting more efficient.  Algorithms as small as 2MB now have the capability to fully secure IoT devices. And these algorithms are also becoming smarter and can thwart spy movie-esque attempts at trickery; for example, biometrics can now distinguish between your voice and a recording of it. Backed by AI and machine learning that studies individual user behavior, biometrics can also now authenticate users by their gait, how they type, how they apply pressure to a touchscreen, and plenty more of the things that make you, you.

Secure authentication is the only way to commercialize IoT in the enterprise. When this happens, there will be proper verification of monetary transactions and sensitive personal data can be shared. The challenge for the industry is to provide a secure, frictionless (passive) authentication that fully takes advantage of the IoT without compromising the UX.

With the death of passwords accelerating and the stakes of security for IoT industry health so high, the arrival and incorporation of highly capable biometric security measures within IoT devices is certainly a welcome one.

 

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Although it took some time to manifest, nation-states have realized the potential for cyber espionage and sabotage on IoT devices.

The latest news

On April 16, 2018, the US authorities issued a warning that government-backed Russian hackers are using compromised routers and other network infrastructure to conduct espionage and potentially lay the groundwork for future offensive cyber operations.

In a joint statement, the US Department of Homeland Security (DHS) and Federal Bureau of Investigation (FBI), along with the UK's National Cyber Security Centre (NCSC) - the cyber arm of Government Communications Headquarters (GCHQ) - said that Kremlin-backed hackers are using exploits to carry out malicious attacks. The hackers are using compromised routers to conduct man-in-the-middle attacks to support cyber espionage, steal intellectual property, and maintain persistent access in victim networks for use in additional campaigns.

U.S. CERT noted that cyber actors are exploiting large numbers of enterprise-class and residential routers and switches worldwide to enable espionage and intellectual property theft.

 

A growing concern

This is just the most recent of several incidents wherein nation-states have used connected devices for their goals.

A spying campaign called “Slingshot” targeted at least 100 victims in the Middle East and Africa from at least 2012 until February 2018, hacking MikroTik routers and placing a malicious dynamic link library inside to infect target computers with spyware components.

In another incident, nation-state actors left political messages on 168,000 unpatched IoT devices. The attackers used a bot to search the Shodan search engine for vulnerable Cisco switches and were easily able to exploit a vulnerability in Cisco Smart Install Client software to infect and “deface” thousands of connected devices with propaganda massages.

 

The west is also toying with IoT devices

Russia and China are not alone in investigating the potential of exploiting IoT devices. In 2016, US intelligence chief James Clapper acknowledged that the US would consider using the Internet of Things to spy on adversaries. More recently, the Dutch Joint Cyber SIGINT Unit hacked a CCTV camera to spy on a Russian cyber group called ‘Cozy Bear.’ As a result, they were able to identify many of the members as employees of the Russian Foreign Intelligence Service.

As western countries become more aware of espionage efforts by foreign governments, it is not surprising that they are fighting back by trying to reduce the attack surface. Several Chinese CCTV manufacturers were recently flagged for having built-in backdoors that could allow intelligence services to syphon information. Dahua, a maker of CCTV cameras, DVRs and other devices was forced to issue an emergency patch to its connected devices. Camera models from Shenzhen Neo Electronics were also exposed to have a severe security flaw. Finally, the largest maker of surveillance equipment in the world, HIKvision, was accused of having a backdoor and banned by certain US bodies.

 

What’s next?

While the potential for information collection through IoT devices is enormous, we shouldn’t forget that these are physical devices deployed in the real world, so hacking them can have real consequences.

 

Doomsday scenarios

Here are just four of many potential “doomsday scenarios” that could result from IoT device hacking:

Grid manipulation attacks

Power grid security has received the appropriate attention in recent years, due in part to large scale cyber-attacks on power grids around the world. But what if, instead of hacking secured power plants, a nation-state was to hack millions of smart devices connected to the power supply, so that it could turn them on and off at will? That would create spikes in local and national power consumption, which could damage power transformers and carrying infrastructure, or at the very least, have substantial economic impact.

Power companies try to balance consumption loads by forecasting peak consumption times. For example, in the UK, demand spikes are as predictable as half-time breaks in football matches or the conclusion of an Eastenders episode, both of which require an additional three gigawatts of power for the roughly 3-5 minutes it takes each kettle to boil. The surge is so large that backup power stations must go on standby across the country, and there is even additional power made available in France just in case the UK grid can’t cope. 

But since no one could anticipate an IoT “on-off” attack, nobody could prepare standby power, and outages would be unavoidable. In addition, power production, transportation and storage costs would be enormous.

Smart utilities

By attacking Internet-facing utility devices such as sewage and water flow sensors and actuators, attackers could create significant damage without having to penetrate robust IT or OT networks.

 

Smart city mayhem

Having a connected urban infrastructure is a terrific thing. The problem is that once you rely on it, there is no turning back. If the connected traffic lights, traffic monitoring cameras and parking sensors are taken offline or manipulated, cities could suffer with large scale interferences to their inhabitants’ daily lives. For example, shutting down connected street lighting could impact millions.

Simple terror

Since we are all aware of the potential impact of a devastating cyber-attack, it would not take much to invoke large-scale hysteria. Just imagine someone hacking a street sign and altering it to display messages from the country’s enemies.

 

Summary

Nation-states have long targeted IT infrastructure to gather intelligence and intellectual property, but their focus has shifted to OT/industrial networks with the aim of facilitating disturbances and physical sabotage. IoT seems to be the new domain in which proficient bad actors can collect information, create disturbances, cause large-scale damage, and inflict terror and panic. The IoT is both insecure and increasingly ubiquitous, and these characteristics make it attractive for hackers and guarantee continued exploitation.

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We often don’t compare technology to fable stories, but when it comes to the internet of things (IoT), the story of Pandora’s Box comes to mind. It’s a technology that has great potential, but where the weakness and possibilities lie are in it’s lack of basic security measures. We might even go as far as to say, what security? These are the concerns we’re thinking about at IT Security Central.

As a completely remote company, we’re taking measures to understand how the internet of things can impact our company data security. Hackers look to exploit technology vulnerabilities to access valuable information. Hacking an IoT connected fish tank, smart fridge - these aren’t far-fetched stories. These are stories that are happening now. 

The lack of secured IoT devices starts in the development phase. These devices are developed on a basic linux operating system with default codes that buyers rarely change. When these devices are developed, security isn’t on the agenda; rather, developers are looking at human behaviors and outside threats. When they should be looking inwards.

An unsecured IoT device is the weak link in the connection. As one of the fundamental purposes of the technology is to provide connection and accessibility, this one weak link can bring down the entire network. And if your remote worker’s BYOD devices are in someway connected to that network, your company just became vulnerable.

Remote workers or ‘the gig economy’ is expected to increase in frequency. According to the Global Mobile Workforce Forecast Update, employees working remotely is suppose to increase to 42.5% of the working population by 2022. At that time, the world is projected to see half of its population working outside the office either full-time, or part-time. 

Security vulnerabilities, remote workers and IoT - where is the connection? The scary thing, remote workers are likely to already have IoT devices in their work environment, and most likely, they are not protected. These devices can mostly be smart home devices that workers have acquired to make their daily lives easier. Common devices include Amazon Echo, Neo and GeniCan.

The first step in active prevention is to make your employees aware of the importance of data security and then aid them with the tools for success.

Best Practices for Protecting Your Network (from Remote Workers)

With the wealth of internet-based security technologies, the idea of protecting your network with in-house servers and the traditional firewall is (well) old school. With cloud-based companies, you can now access and protect data in easy step-by-step processes, and the best news, most of these companies do the data management for you.

One of the most progressive approaches to remote worker security would be to adopt a monitoring service to collect data and actively look for anomalies in the network. Through data collection and analysis, a monitoring software creates a user profile of normal, everyday behavior. The administrator can set ‘alerts’ for when certain data repositories and files are accessed, or when sensitive data is moved. The longer a data breach goes undetected, the larger financial implication for the company. Requiring remote workers to download and use a remote monitoring software is one of the highest levels of protect against data loss.

But if monitoring isn’t on your agenda, these are a few basic tactics that employers can encourage remote workers to undertake.

Permissions Management

Though the workers are remote, administration can set limits to data access. This process starts by undergoing a through analysis and understanding of each position. It’s important to understand who needs access to what information, and who doesn’t need access to information. Once this is understood, administrators can restrict information, and they can also set ‘alerts’ when information is accessed without prior approval.

Home Network Policy

Once employees leave the brick & mortar walls, the manager has little access where and on what internet network they’re accessing information. But don’t fret, this freedom and flexibility is part of what make remote work appealing. Where privacy might be a factor, we don’t suggest to go as far as asking remote workers to eliminate IoT devices on their network. Rather, we encourage to create a policy that specifically states the security requirements that the IoT must have in order for the work network to be accessed. By educating your employees, you can save them and data loss heartbreak.

Encryption

Encryption, encryption, encryption. You’ve heard the importance of encryption. For remote workers, the company can never be too safe, so they should go the extra mile and set remote workers up on an encrypted network. A VPN ensures all connections and communications are encrypted when the network is accessed. Don’t worry about IoT connectivity in their home, or when remote employees connect to an unsecured public wi-fi connection. A VPN provides the next level of security through encryption, and a hacker won’t be able to access communication or data without alerting administrators to a potential breach. 

IoT devices are already integrating into our at-home lives, and when remote workers access their at-home networks, suddenly the topics collide. As more workers go remote, it’s important to look inwards towards security to see how everyday IoT devices impact company data. Take the time to ensure that remote workers are protecting the network effectively.

Guest post by Isaac Kohen. Isaac Kohen is the founder and CEO of Teramind (https://www.teramind.co/), an employee monitoring and insider threat prevention platform that detects, records, and prevents, malicious user behavior in addition to helping teams to drive productivity and efficiency. Isaac can be reached at [email protected]. Connect with Isaac on social media: LinkedIn, IT Security Central and Twitter @TeramindCo.

 

 

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Guest post by Romain Wurtz, Chief Technology Officer, NarrativeWave

As companies engage in the implementation of analytics and data science applications, many challenges lie ahead. According to the Harvard Business Review, many data science applications fail due to poor goal definition, a lack of understanding of the key data, or a lack of focus on business value.

We believe the best route to data analytics and particularly analytics for the Industrial Internet of Things, must have several key elements:

Key Elements of Effective Analytics:

Builds upon your Subject Matter Experts’ existing knowledge. Allows engineers to use the platform and be part of the analytics process.

Enables automation of key processes.  Builds a solid foundation for more complex analytics (e.g. predictive).

This article takes a look at each of these elements in further detail and explores why they are important to driving value for your organization.

Having a platform built on your subject matter experts’ knowledge is the best starting point.

Your Subject Matter Experts (SMEs) and engineers have been building and maintaining your equipment for decades. Their expertise and knowledge is the best available expertise on how your equipment should be operated, maintained, and evaluated. Incorporating their knowledge to best evaluate data from the equipment and what that data means, is the ideal starting point for the application of analytics.

Analytics platforms using purely Machine Learning or Artificial Intelligence may lack insight on what the data means and the meaning of events within the data. Without human interaction or interpretation, more advanced analytics, such as predictions, have a difficult time achieving the desired outcome. Without a determined outcome, the process can take months to evaluate, and even then, the analytic effectiveness and accuracy can remain unknown and unproven.

We believe the best starting point for analytics is one that starts by using your own proven analytic methods as a foundation and then allows for a natural, building blocks approach.

Using a platform that allows engineers to be part of the process helps with the adoption of analytics.

Adopting new analytics and data driven business models is fundamentally about changing the way business has been done for many years. In an effort to make this transition, gaining adoption and trust of key players within your organization will significantly impact the success of a new program. Having a platform where SMEs can interact and engage, without having to be a data scientist or a developer, results in higher adoption and more impactful business outcomes for the organization.

Implementing a platform that automates current processes creates short-term and significant value.

In order to gain value from large data sets and sensor data, only a platform that starts to automate part of the process can create scalable value. Meaning, the platform must be able to interpret data, generate insights, and provide recommended outcomes for end users. Otherwise, it becomes just another way to visualize and explore data. This can add value on its own, but doesn’t reach the impact that automation provides. As noted earlier, building a system on your proven analytic methods, and then adding a layer of more advanced analytics, such as machine learning based predictions, is the best route to a highly accurate, automated platform.

Building a platform with a solid foundation of your experts’ knowledge is the best way to approach implementing an entire suite of analytics.

Building a platform configured by your own SMEs creates the optimal foundation for an entire range of analytics. Your experts can provide knowledge about significant areas such as:

The meaning of key data. How sensors are related to each other.

What constitutes an actionable event?  What constitutes a false alarm?

Exceptions to the rule.

Once this knowledge is part of an automated platform, adding a full range of analytics becomes more impactful. For example, knowledge of what constitutes a false alarm can lead to an insight describing what turned a false alarm into a valid alarm and what indicators are worth automatically tracking. By contrast, an approach that solely tries to use machine learning or AI techniques without these key understandings, can struggle with the “right” business outcome, accuracy, dealing with exceptions, and delivering significant value to the business.

Business Cases & Outcomes

These business case examples show how we at NarrativeWave impact customer’s operations, profitability, unplanned downtime, and workforce efficiency.

Improved Accuracy of Event & Alarm Analysis.

Challenge: The traditional workflow of diagnosing events or alarms on large industrial assets is a manual process for engineers. A manufacturer was looking for a solution that would increase accuracy and reduce the risk of costly human errors. 

Solution: NarrativeWave’s platform allowed the customer’s engineers to create detection models and equations through the SaaS platform. Currently, this manufacturer receives accurate and automated root-cause analysis of events in near real-time.

Impact: The software provided a 25% increase in accuracy of diagnosing events, which means a more consistent, predictable solution for this manufacturer’s engineers and clients.

Reduced Time Spent Diagnosing Alerts & Alarms

Challenge: Sensors on large industrial assets generate millions of data points per second. When an alert was triggered, engineers spent hours conducting redundant, manual research to diagnose the problem and produce an actionable report for clients. The diagnostic process can take up to 16 hours and technicians were struggling to keep up with the expanding service requirements. 

Solution: The NarrativeWave platform automated their manual processes, delivering an analysis, actionable insights, recommendations, and a report to their engineers in less than 3 minutes. This allowed their engineers to make near real-time decisions on what happened, why it happened, and what to do next.

Impact: The outcome resulted in a 95% time savings in diagnosing alerts and alarms, which reduced unplanned equipment downtime, improved workforce efficiency, and enhanced service contract profitability. This proved the opportunity for a multi-million dollar savings per year for this OEM, and better supported real-time service contracts.

Optimized Productivity of Skilled Engineering Labor

Challenge: More than 50% of all industry alarms are false positives, which still have to be diagnosed and solved. A customer was looking for a solution that would allow their engineers to optimize their workflow and spend less time servicing invalid alarms. 

Solution: The NarrativeWave platform automated the root cause analysis of events to produce actionable insights based on the manufacturer’s data. The outcome was an explanation of the event that occurred and guidance on what to do next, which was provided to the engineers within a few minutes.

Impact: The platform accurately and quickly invalidated false alarms, allowing engineers to focus more time on resolving valid alarms and serving their clients. For the first time, engineers were being leveraged in the best way to impact this manufacturer’s operations.

Increased Efficiency in Creating Detection Models

Challenge: A large enterprise client had a robust analysis setup with 3 detection models and 150 threshold variants. The client’s process for iterating detection models originally took 3–4 months and required engineers to rely on development from either a software engineer, data scientist, or an outside software vendor. 

Solution: NarrativeWave’s platform provided an intuitive pipeline, enabling their business users to quickly create, manage, and iterate their own detection models. The platform is user-directed, managed and utilized by the customer’s internal engineers, without the ongoing need of developers or data scientists.

Impact: The iteration timeframe has been dramatically reduced since using NarrativeWave. More importantly, this customer’s engineers can setup iterations on their own, allowing for immediate impact on the business operations and for their clients.

Enhanced Next Generation Knowledge Base

Challenge: Engineers have been detecting alarms individually for 30 or more years. While working with a major engine manufacturer, NarrativeWave found the detection process was not recorded, standardized, or made available to other engineers and management within the organization. 

Solution: The platform is setup to record the engineers’ knowledge and feedback, resulting in a platform that gets smarter over time. Engineers can customize the business analysis and recommendations to make them as accurate as possible, therefore creating an evolving knowledge base for SMEs. 

Impact: The outcome resulted in the manufacturer, for the first time, being able to capture their engineers’ knowledge. This increased collaboration between engineers, improved standardization, and allowed valuable knowledge to be visible across the organization.

Improved Fleet Health & Management

Challenge: Manufacturers and equipment operators currently lack visibility into assets across their entire fleet, making it difficult to identify poorly performing assets and best performing assets. 

Solution: With NarrativeWave, asset performance can be evaluated near real-time, enabling organizations to better manage critical assets and plan for future actions, all by the click of a mouse.

Impact: The platform-wide view provides significant time-savings of tracking and managing fleet health for equipment manufacturers and operators. Additionally, the platform reduces unplanned downtime and helps organizations prevent critical equipment failures.

Improved Predictive Analytics & Maintenance

Challenge: Manufacturers and equipment operators are interested in deploying predictive models for better asset maintenance and warranty support. Pure machine learning approaches lack a solid foundational basis and can be difficult to implement successfully.

Solution: With the NarrativeWave Knowledge Base, key information such as the meaning of events, the relationship of sensors, and what constitutes a valid alarm are already known. By applying machine learning techniques to a solid NarrativeWave foundation, predictive analytics is more effectively implemented. 

Impact: This approach provides a strategic method of utilizing predictive analytics and improves the outcome of implementing analytics. The result is a highly accurate, auditable platform rather than a pure “black box” approach.

 

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IOT

IoT stands for “Internet of Things.” Breaking down the phrase, we get two words Internet and Things. Internet stands for Interconnection of Networks. It was born in the late 1950s and was known as ARPANET. Experts say that the concept of IoT was taken with the ARPANET but, because of the lack of hardware and software support, it was tough to bring Internet of Things to the real world. Between 2006 and 2008 the first European IoT Conference recognized by EU. In this conference, experts talked about commercializing IoT. Finally, in 2009 CISCO was the first one to connect thing around us to the Internet. Later on, in 2009, companies like IBM and Ericsson also developed IoT solutions for the real world.

Smartphones were the first devices that connected people to the Internet even while roaming. This breakthrough came with the launch of the first iPhone. That is the first instance when IoT started impacting our lives. Since, then a wave has begun to flow across the globe to make everything around us, “smart.” The growth of IoT has been exponential since, 2009.

How IoT Affects Our Day-to-day Routine?

Our day starts at home and ends at home. IoT has reached to our homes and is spreading like wine. Households are getting smarter. Starting from the door from where we enter to the bed we sleep, everything is smart.

Smart Home

There are two types of Home Automation, semi-home automation, and complete home automation. Semi-home automation is where devices can do some of the daily tasks for us and have limited access to other gadgets of our home. Total Home Automation is where the gadgets have full access to the house.

Devices like Amazon Echo, Apple home pod, and Google home are capable of playing songs according to our mood, booking a cab, setting reminders, providing weather updates, making a call, controlling lighting, etc. and they do it via voice commands only.

The gadgets that we use daily are getting smarter as well such as IOT enable smart air conditioner, Fans and monitoring devices like gas meter, water meter, electricity meter, etc. IoT is also prevailing in security solutions for homes and offices. IOT enable Smart smoke detectors, motion sensors and intelligent bio-metrics database are already implemented in homes and offices.

Smart Vehicles

The automobile industry has evolved quite a lot when it comes to automation and safety. Automatic Gearing system and electronic parking system have changed the way we drove the car. Some of the examples of how automobile industry is facing change because of IoT are automatic emergency SOS message, automatic service booking, maintenance alerts, automatic fuel sign, Trip analysis, breakdown information, etc. If there is an ideal car having all the specifications mentioned above, then the owner of that car will save a lot of precious time which others cannot.

Environment Friendly

Internet of Things is helping us save the environment by smart gas detectors. These gas detectors are spread across the city which collects data of all kinds of hazardous gases and measures its density in each area of the town. Using this data, we can take the appropriate steps to reduce carbon emission in the city.

Smart gas detectors have the capabilities to detect even a small leakage which could destroy an entire city if not fixed in time. IoT has the skills not to improve our lifestyle but also to save lives and towns.

Smart Infrastructure

More significant the building higher is the maintenance cost. IoT helps to reduce the maintenance cost by suggesting the most effective solutions to maintain a building by measuring its condition time-to-time. IoT can also help reduce the risk of the data security breach at any level. It also protects the structure from fires.

Personal Health

Blood Pressure and Diabetes are some of the most dangerous diseases that kill slowly. The risk of such conditions has reduced to a fantastic level as people started using wearable techs such as smartwatches and fitness trackers connected to their smartphones. According to a GFK survey, one in every three people around the world wears a fitness tracking device. Some of the fitness trackers also track the sleep and send the sleep data to their smartphones. The app creates a detailed report using that data which user can access from anywhere provided the internet connection.

How will it benefit us?

IoT is making everything around us smart as mentioned. As these things will get smarter, it is going to replace humans in performing all the non-productive tasks hence, improving productivity. The tasks which we would have never imagined to do as humans are going to be accomplished by IoT.

Control Homes Remotely

Robots connected to the Internet will clean our homes whenever instructed regardless of our situation. With the help of IoT, monitoring will be extremely easy. We will be able to see and control our home from far away via an app. Although, staying away from home, IoT will make us feel as if we are at home.

Preemptive Vehicle Maintenance

Any vehicle needs maintenance. In our busy lives we might not always get time to provide proper maintenance to it. IoT will help us complete the tedious task. It will send the remainder to car service center for us to send the mechanic and service the car. With the help of GPS we can also track it live on our phones so, no chance of theft. IoT will also benefit at the time of emergencies. The system present in car will automatically detect the type of emergency and ask for the relevant help.

Save Environment

No one can deny the Climate change happening around the world. We cannot reduce the global warming but we can surely stop them with the help of IoT. Smart sensors help us collect and organize pollution data according to Country, state, city and area. We already have the ways to reduce pollution all we needed was “data.” IoT not only improves our lifestyle but also save lives.

Eco Friendly Buildings

The concept of energy efficient building is prevailing around the world. Such buildings are known as “Green buildings.” IoT can help us save energy that is consumed in big corporate offices and public places. That energy can later on be used at the time of crisis.

Healthier Lifestyle

All kind of wearable tech comes with GPS functionality and smart watches comes with Internet as well. Most of them has a panic button functionality through which we can alert our loved ones at the time of emergency. The heart rate sensor present in the fitness tracker tracks our heart rate 24x7 hence, it gives an alert to the nearest hospitals automatically whenever our heart rate deviates from the normal range.

Verdict:

Internet of Things has been impacting our lives since 2009 and is going to impact forever. The only difference will be that the impact will be much more than what it is today.

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An alarming fact!

According to the UN projections, world population will rise from 6.8 billion today to 9.1 billion in 2050 that signifies food production has to be raised to feed the one-third more mouths.

And, the agriculture industry is accountable for fulfilling humans’ need for food, energy, and shelter (To a great extent). Furthermore, the agriculture industry composes less than 5 percent of the combined GDPs of the world.

But, there is one more distressing fact revealed by Bureau of Labor Statistics, employment of agricultural workers is projected to decline 3 percent from 2012 to 2022.

Why is this employment supposed to reduce? And, what farm owners or farmers would do to sustain the productivity, increase yield and feed additional 2.3 billion people by 2050.

The only solution to all these problems is Agriculture Modernization that has already started by some of the tech-savvy farmers. For the next generation agriculture fields, data collected from sensors would become the fertilizer to grow crops. It’s really perplexing but true.

Embracing IoT Solutions would uncover the new ways that tap the full potential of agriculture yield and alleviate all the challenges that hinder the growth of the crop. Before heading to know how IoT can turn out to be a magic bullet for the agriculture, let’s understand what IoT is.

IOT is the technology that extends the limit of internet connectivity from digital devices to physical objects. It enables the communication between digital devices, objects, and other systems. The data collected can be shared between person to person, machines to person or machine to machine, and data is stored and managed at Cloud.

With IoT, remote water valves, weather forecasts, pest control, food storage and transportation data, and monitoring system could be connected and information exchanged via sensors is available to the farmer on the mobile phones.

Now, take a look how IoT can make agriculture more profitable and crop healthier at every step.


Decide which crop is the best to grow on a piece of land

Every crop requires different atmospheric conditions and land to grow, but concluding the same is tricky. How could farmers find which land or other conditions are the best fit for their crop? It can be identified by conducting a survey for the agricultural land combining the power of artificial intelligence and IoT in unmanned aerial vehicle (UAV).

UAV, a small airplane used for the in-flight observation and monitoring that gathers data like- visual, thermal, and multispectral imagery, air pressure, humidity, the weather condition at resolutions up to 1 cm/pixel. This data is really helpful for the farmers to take the decisive step.

Moreover, UAV also helps farmers in knowing plant height, weed detection, plant-counting, crop health and changes in the plant in different seasons.

Making irrigation smarter

Water supply at the right time, in right quantity and at the right place plays a vital role in the plant’s growth. Water management remotely is also challenging task, especially the management becomes more difficult during the shortage of water, which may otherwise damage the crop.

Connecting humidity sensors, water valves and monitoring system, water supply for irrigation can be managed easily. Humidity sensors smartly measure the soil moisture and based on that data, water valves provide water to the field automatically without any human interventions. Also, any leakage in the water pipes can also be identified. The complete data is accessible to the farmers at distance on the mobile.

With smart irrigation, there will be the least wastage of water, water consumption in the field can be tracked, in drought areas the crop water management could be done efficiently and unauthorized water consumption (If any) is detectable.

Know weather forecast information in advance

Climate and weather influence the crop production at large scale. This dependency on weather and frequent changes in the climate sometimes damage the crops and ultimately farmers suffer from a great loss. How about if the farmer knows weather information before they decide plantation or harvesting of crops. It’d be great. Isn’t it?

With IoT farmers would get accurate weather forecast in real-time and based on this information, they can pre-plan the different activities. Also, in case of future contingency, right steps could be taken beforehand to prevent the loss to happen.

Evaluate the growth performance of produce

Despite having right irrigation facility, perfect weather and optimum pest management, plants won’t grow well. Constant performance measurement and evaluation is necessary, but for that regular visit to the field is arduous. Smart technology makes this work done from a distance with sensors.

Implanting remote sensors would check the soil temperature, humidity, air temperature, pressure and pretty more! Getting this data, farmer can plan accordingly like- change the harvest time, irrigation time, determine heat events and improve plant health.

When plant breeding is done in such a perfect environment, the better would be the food quality and increased production.

Check the level of nutrient in the crops

Presently, getting a good quality food is essential, but having the right level of nutrients is vitally important. Now, farmers can manage the level of nutrients in the produce. Bewildered? As, how is it possible to check, control or manage the level of nutrients in the food. But, yes skyrocketing technology has made it possible.

The nutrient analyzers are built where sensors monitor the level of nutrients in the crops. Every sensor relates to a specific ion that would sit on one side of the membrane and when water passes through, these sensors detects the ion presence and its quantity. Simultaneous measurement of six ions can be done in the real-time. The analyzer is synced with mobile phone where all the data is displayed.

During plant’s growth, farmers knowing the ion level, they can change the mix of nutrients and improve the plant’s yield. Moreover, changing the proportion of nutrients, color and maturity rate of produce can also be altered.

Control the pest at the fingertips

Yes, the healthy crop becomes a prey to pests effortlessly and farmers have to suffer from a great monetary loss. It’s very crucial in the whole crop production cycle to identify when these pests would attack and what quantity of pesticides need to be used.

Here pest control sensors would help. The sensors monitor the pest behavior, pest’s population, and analyzes environmental parameters and plant growth. Based on this data the pesticides are automatically sprayed into the field at the place where it requires and in the right amount so that pests are disrupted initially.

The complete record of the pest’s attack on the crop, the amount of pesticides sprinkled and how much crop production is affected could be tracked. Implementing IoT reduces pesticide usage in the field and keep crop healthier.

Monitor the food storage safety

Once the crop is harvested, farmer’s work is not done. If you are thinking so, you are mistaken. As, crop storage is an essential part of the crop production process. Employing the correct grain storage techniques includes maintaining the accurate temperature, humidity, air control and pressure in the warehouse. But, getting real-time information is difficult and info received lately would result in the severe damage.

Integrating different IoT sensors at storage place would allow farmers to monitor the crop storage in real-time, control the storage temperature, humidity and a lot more. Plus, they would receive the alerts, in case any set parameter in the grain storage changes.

Bring coordination in logistics

Transferring the yield from storage to the market at the correct time through right means of transportation is very crucial. By optimizing the supply chain, farmers can reap good monetary benefits and reduce losses or overhead expenses.

With GPS sensors, the owner can easily track where the transport vehicle is and exact its location in the real-time. It helps in monitoring the vehicle and providing help to the vehicle in any emergency. Plus, installing the thermostat sensors in the vehicle would sense the change in the set temperature and if any fluctuation is found, then the owner would be informed.

Expected outcome

With the potential IoT innovations in the agriculture industry at large scale would certainly bring a global shift in the way farming is done and yields are produced. It is predicted that by 2025, there would be 600 million sensors implanted on 535 million farms worldwide and in 2015, these sensors would grow by three folds by the year 2020.

It concludes one thing- Be tech savvy to grow more and if you want to yield more, embrace IoT in your fields to stay at the to

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We are in the dawn of a new cyber society. A society where organizations shall design plans to utilize the unique skillsets of both AI Systems and humans. A society where Humans and AI systems shall work and live together and without fear. A society where humans shall use newfound time and freedom to advance strategic skills and individual talents.
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As the Global PM and CTO for Lumada, it's been a rewarding journey to create a portable Industrial #IoT platform that could run at the Edge on a factory floor, in a train, inside a data center or in any hyper-scale public cloud.

This composable platform (use just what you need for your specific use case) combined with our revolutionary Asset Avatars (Digital Twins) that bring Lumada to life, is the very definition of "Visionary." I also want to send a big congratulations to our Visionary friends at PTC (ThingWorx) and SAP (Leonardo).

Our #Lumada #IIoT platform coupled w/ our IoT Hardware Appliance takes you from #Edge to #Cloud.

Thanks to all the Hitachi collaborators, colleagues and friends I was lucky enough to take this journey with.

Get a free copy of the Gartner report here:
https://www.hitachivantara.com/ext/gartner-magic-quadrant-for-industrial-iot.html

-Rob

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The most irritating problem that car owners in a heavy traffic ridden city face is to find a spot to park their car. Finding a parking spot in a parking lot, airport or near offices many times become a serious problem and cost people a lot of money and other resources like time and fuel.

This problem is growing every day and to bring it down we need to implement some smart parking solutions.  is a revolutionary solution for this matter and its prototype projects are already running in many cities.

Just as your Smartphone or smart refrigerator, these smart parking lots are linked to many internet-enabled devices; in other words, the whole parking lot is made IoT (Internet of Things) enabled. Internet of Things is the technology, using which we can connect our surrounding devices, especially those devices which could never have been internet friendly before IoT.

How Does Smart Parking IoT Work?

IoT enabled smart parking makes use of low-cost sensors and mobile apps that give out real-time information about the availability and location of parking space. Small sensors are installed on the road surface for each individual spot in the parking lot.

Now, these sensors at each parking spot give out an individual real-time status update of its availability to a nearby server. The data could also be transferred to the cloud. From there a base station is set up. Such base stations have the capacity to serve thousands of devices in the vicinity of around 4 sq. Miles for urban cities and 10 sq miles for suburban regions.

For the enterprises who own multiple parking lots across the city, such base stations are very cheap to set up as they cover a long range. So, the number of base stations to be set radically reduces. Also, the sensors mounted in the lots have very low setup and maintenance cost as they are designed to withstand mechanical pressure from the vehicle and also their working is very low-powered which makes their batteries last almost 10 years.

Read Also: 9 Internet of Things Trends for 2018

 

Benefits Of Smart Parking IoT:

  • Real-Time Info:

With real-time updates, the user doesn’t remain unknown about available parking spot and gets a precise list of empty spots. This real-time data gives information about user preferences to the parking lot owner to help decide what type of modifications are needed according to their user behavior.

  • Location Info:

The sensors won’t just inform about the availability of parking space but will also give its exact location in the lot. Due to this, much of the time is saved as users know exactly which floor and which aisle to go to.

  • Integrated Payment Options:

Most of the people that use parking lots are frequent users as their offices, colleges or other every day visiting establishments are nearby to the parking lot. For such users, paying their parking fee manually every day could be tiresome and time-consuming so an additional feature of integrated payment modules can be added to this system so that they can complete their daily payment transaction digitally without wasting any time.

  • Low Pollution:

All the time saved for manually searching for a parking spot and roaming around the lot with your car increases fuel consumption. It’s a shocking fact that a million barrel of oil is consumed just for the purpose of finding a parking spot. Smart parking system using IoT saves all this fuel and lowers pollution while doing this.

  • Lower Cost Of Operation:

When the smart parking uses IoT system, the process becomes automated which leads to a lower manual input to this process. Lower manual input prompts to lower labor cost which in turn decreases operational cost.

  • User Experience:

Due to such smart parking solutions, customers get a very user-friendly experience which makes them come back to your establishment. Compared to old parking lots where the user has to drive through aisles until they find a place to park their car, this definitely becomes the best alternative that any user would opt instead of the old way.

Conclusion:

The Smart Parking System using IoT is by far the most user-friendly solution with very low installation as well as operational cost. This becomes a win-win situation for both, the user as well as the parking lot owner. Opting for Smart parking solution will be the best business step for parking lot owners and a really great and beneficial experience for the users.

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