Ankit Narang

Ankit Narang

Ankit Narang is Marketing Associate at eInfochips, well-versed in Product Management Trends related to Security & Surveillance Products, Industrial Automation and Automotive. Prior to joining eInfochips, Ankit completed his B.Tech in Computer Science from Maharishi Dayanand University. Other than practicing Product Management Ankit likes to study new technologies and explore opportunities to collaborate for innovative research.

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Understanding the buzz around Narrowband IoT (NB-IoT)

NB-IoT is a cellular protocol standard which offers the promise of low cost factor, suitability for indoor coverage, and most importantly, the credibility of 3GPP which stems from the fact that it originated in parallel to LTE (4G/5G) security standards. Building your IoT devices using NB-IoT can save bigly in terms of low power consumption, drastic reduction in data storage and excellent penetration coverage as this is one of the very few networking protocols that can access hard to reach places.

 

Cellular technologies help in a wide range of IoT Services including Smart Cities (Smart Parking, Smart kiosks, Smart Lighting), Connected Homes (Video Surveillance, Access Controls, Fire Alarms, Smoke Detectors), Connected Retail (Camera, Handheld Devices, Vending machines, Digital Signage), Connected Transportation (Fleet Management, Smart Transit, Smart Traffic, Monitoring and reporting, Asset Tracking) and Connected Industries (Smart meters, Energy Management, Device Monitoring & HVAC).

 

At the recently concluded Mobile World Congress 2017, Narrowband IoT (NB-IoT) made its mark as one of the hottest IoT trends in cellular technologies, with several leading telecom players unveiling their respective rollouts of this IoT-enabler. A list that includes Deutsche Telekom, AT&T, KDDI, KPN, NTT DOCOMO, Orange, Telefonica, Telstra, TELUS, Verizon and several others.

 

So, what has fueled all this excitement? Let’s read ahead.

 

Understanding the buzz around Narrowband IoT 

 

Many safety-critical IoT devices are located in remote locations and are difficult to locate, hence requiring a device transmitter to operate at a very high power that results in battery drainage.  Existing cellular standards don’t have the capability to support power consumption.

 

A new evolved cellular technology is required to meet the connectivity needs of the rapidly growing Internet of Things (IoT).

 

NB–IoT – (Narrow band IoT) is a Low power WAN (LPWAN) radio protocol that can be used to connect a wide range of IoT devices based on different cellular telecommunication bands with a specific focus on reducing power consumption significantly. NB-IoT is also called LTE Cat-NB: It is most suitable for applications that require transmission of moderately complicated data with less recurrence so that is can develop new applications. The deployment cost is significantly reduced with the reuse of existing infrastructure. Also, time-to-market can be significantly hastened owing to infrastructure reuse.

 

Adoption of NB-IoT can help in providing improved indoor coverage support to a massive number of low-throughput nodes with low-delay sensitivity, ultra-low device cost, lower device power consumption, and optimized network architecture.

 

NB-IoT technology deployment has several variants:

 

  • “In-band” – Uses spectrum allocated to Long Term Evolution (LTE)—utilizing resource blocks within a normal LTE carrier
  • “Guard-Band” – Uses bandwidth reserved or unused LTE carriers Guard band
  • “Standalone” – Uses dedicated spectrum and utilizes new bandwidth suitable for the re-farming of GSM spectrum

 

Major Benefits of NB-IoT

 

  • Ubiquitous connectivity and coverage – NB-IoT can help in supporting massive number of devices by establishing networks that can connect to billions of nodes. They are designed for extended coverage indoors with low device complexity providing long range connectivity and communication.
  • Low Power Consumption – NB-IoT doesn’t need to run a heavy OS like Linux or do much signal processing making it more power efficient as compared to other cellular technologies. One may be running a small RTOS to connect to NB-IoT network and still get the same performance (if not better).
  • Low Device Cost – Simpler to create with lower complexity, cost of device is considered to be significantly low and turns out to be around $5 per module. One does not need CPUs running at multiple GHz but simplified MCUs can suffice.
  • Multi–year battery life – With the optimized power consumption capability, NB-IoT can support  a multi-year battery life for your devices.
  • Secured - NB- IoT is considered to be secured similar to 4G, with all encryption and SIM-based authentication features
  • Faster time to market – NB- IoT is easy to deploy as it can either be deployed for In-Band, Standalone or Guard-band resulting in faster time to market.

 

Potential Applications of NB-IOT Applications

 

Due to above salient features, NB-IoT can be leveraged for different Industries. eInfochips has extensive experience in interoperability management with sensors, control systems, measurement tools and communications infrastructure across vendors, often with custom hardware and software development. Having done numerous connectivity projects for all above applications, eInfochips offers design engineering expertise in NB-IoT for the following industries:

 

NB-IoT for Retail – NB-IoT can help retail stores to enhance the in-store experience for customers as it can connect a large number of devices like barcode scanners, cameras, EPOS machines. The add-in advantage offered is that it provides long battery life with less power consumption.

 

NB-IoT for Home Automation – The biggest advantage offered by NB-IoT is that it isn’t required to run heavy OS with Linux that consumes more power while helping run  smart home devices required to be used with comparatively less power.

 

NB-IoT for Industrial Automation: NB‑IoT is well-suited for monitoring gas and water meters, via regular and small data transmissions. It also provides network coverage in ruler areas, underground cellars where connectivity is the major issue for installed meters. NB-IoT can be deployed in smart meters helping in communication with individual Meters. It helps overcome the cost of deploying, operation and maintaining the infrastructure.

 

NB-IoT for Smart cities: NB-IoT is the right technology for Smart cities by providing better performance for parking solutions. The data rate requirement in such installations is quite low while the connectivity on demand is top priority. Integrating it with current infrastructure helping in connecting large number of parking sensor at a very low cost with a long battery life.

 

NB-IoT for Transportation – Leveraging the applications of NB-IoT like real time tracking of vehicles and shipping container reducing fraudulent activities or collecting the real time data from vehicles, road sensors and helping in traffic analysis, navigation, Avoiding congestion.

  

Click here to know more on eInfochips solution offerings in industrial IoT.

  

About Author

Ankit Narang
Ankit Narang
Marketing Associate

Ankit Narang is Marketing Associate at eInfochips, well-versed in Product Management Trends related to Security & Surveillance Products, Industrial Automation and Automotive. Prior to joining eInfochips, Ankit completed his B.Tech in Computer Science from Maharishi Dayanand University. Other than practicing Product Management Ankit likes to study new technologies and explore opportunities to collaborate for innovative research.

 

DevOps for Industrial IoT Systems

devops for industrial iot systems

 

The focus towards enabling enhanced connectivity in IoT interfaces have led to the evolution of industry benchmarks, such as Bluetooth 4.2 (BLE with IPV6 readiness), 6LoWPAN (IPv6 over Low power Wireless Personal Area Networks), ZigBee 3.0 based on IEEE802.15.4, Z-Wave Alliance ZAD12837 / ITU-T G.9959, Google Thread and more.

 

IoT standardization is important from the following standpoints:

 

  • Security concerns: Researchers recently showed how easy it was to exploit ZigBee security loopholes to hack into smart homes to disable Philips light bulbs, smart locking systems and HVAC systems. The notable Dyn cyber-attack which led to the partial shutdown of the Internet was in fact, the handiwork of amateurs. Industry observers agree that the evolution of IoT security standards will pave the way for greater customer confidence in coming few years.
  • Faster development cycle: IoT standards are essential in achieving cross-collaboration between product teams working on different IoT devices, and therefore, faster development of new solutions and offerings.

In order to achieve speedy development, ongoing focus in industry stems towards increasing adoption of connectivity solutions coupled with integration with various edge devices. The latest DevOps methodology along with cloud enablement have in the last few months, accelerated the development of effective IoT solutions beyond the boundaries of industries and geographies.

 

Why DevOps is Useful in Industrial IoT

Industrial IoT is entirely different from consumer IoT as there are millions of live devices, including the mission-critical or safety-critical devices working in the harsh environment that need to be monitored 24/7. To achieve these goals, secure implementation, device performance, accuracy and data analytics plays a crucial role. Safety is of paramount importance in Industrial IOT and devices need to be compliant with Safety Integrity Level standards (SIL) for development.

 

Continuous remote monitoring of live field devices can also help with predictive maintenance like battery replacement, device health monitoring, functional alerts, production monitoring and environment testing. Also, program interdependencies can be resolved much faster owing to early feedback and resolution of dependencies.

 

DevOps can help in automating the build verification testing process with continuous integration and deployment in an incremental manner. The entire development lifecycle can be broken down into stages with incremental design, coding, integration, testing, delivery and monitoring rather than a traditional release-based delivery model. The feedback from deployment can be fed back early to the design team for bug fixing not only for the current release, but also as a guideline for future incremental releases. This results in faster, flexible and efficient development coupled with early feedback from deployment teams. This makes DevOps in IIoT a great value addition as it helps achieve the continuous adoption of dynamic conditions and requirements in IIoT without adding much to the expense.

 

The overall aim of DevOps in IIoT is to achieve savings in efforts and cost while uplifting the overall quality with faster time-to-market.

 

In Conclusion

Intertwining DevOps with IIoT world addresses real world challenges of IoT implementation, including minimal downtime, building safety-critical applications, delayed response time, and rapid adoption of ever-changing/upgrading systems.

 

eInfochips offers DevOps expertise, delivering faster time to value/market, improved code quality, operational scalability and cost savings through reduced outages/release efforts. It leverages the company’s extensive experience in agile, lean, device, and cloud deployments. Check out our whitepaper on how DevOps is suited for the IoT environment. 

 

About Author

Ankit Narang
Ankit Narang
Marketing Associate

Ankit Narang is Marketing Associate at eInfochips, well-versed in Product Management Trends related to Security & Surveillance Products, Industrial Automation and Automotive. Prior to joining eInfochips, Ankit completed his B.Tech in Computer Science from Maharishi Dayanand University. Other than practicing Product Management Ankit likes to study new technologies and explore opportunities to collaborate for innovative research.

Top 3 Emerging trends in Video Analytics - Artificial Intelligence, Tracking, Micro Expressions

In a recent blog, we saw how video analytics can be a useful solution to provide better city surveillance. Here, we will elaborate on the technical capabilities of video analytics in greater detail. The video analytics market size is estimated to grow from USD 1.69 Billion in 2016 to USD 4.23 Billion by 2021, at an estimated CAGR of 20.2% from 2016 to 2021 (MarketsandMarkets 2016 report on global analytics market). The adoption of key technologies like Artificial Intelligence, Edge analytics, Predictive and Reactive analytics, Machine learning algorithms, and wireless features like RFID has significantly increased the demand for video analytics in different industries like retail, city surveillance, law enforcement and fleet transportation.

As the amount of video data generated tends to be pretty huge, with no way to handle and process all of it in a short span of time using manpower alone due to limitations in human capacity, video analytics are serving as a useful asset to make generated video data more valuable.

 

Face detection

 

Video analytics can be done in three different scenarios like on-board real-time analytics, offline VMS forensics and a new emerging field called on-demand analytics using cloud. Here, we will discuss three applications where video analytics are playing a pre-eminent role.

•          Artificial Intelligence (Deep Learning, Machine learning)

•          Combination of video analytics with other tagging and tracking technologies  

•          Micro Expression Analysis

  1. Artificial Intelligence for Video Analytics - Automated solutions, delivered by deep learning and artificial intelligence, can efficiently analyze the huge amount of data that videos generate, providing tremendously fast results. Intelligent video analytics also use deep learning for facial recognition. A well-trained deep learning solution allows video analytics to analyze facial data more quickly by providing more accurate face detection with faster response time, thus creating a powerful method for facial recognition. Deep learning technologies also help analyze and process vast streams of footage.

     

    Using AI in video analytics, a number of systems will be able to communicate with each helping in taking decisions and readily catching suspicious activities or predicting them before they can happen. With the advancement of AI, the future of video analytics is not limited to providing stagnant algorithms, but also to having event and authorization-based alert systems. Wherein, the alerts will be sent only to an authentic person and the relevant department.

     

  2. Combining Video Analytics with Location and Identity-based Systems – There are some situations where a camera cannot take action due to some visual obstacle that is not included in camera tampering algorithms which means video analytics will not work. The situation can be beyond the line of sight.  Combining video analytics with other advanced technologies, including Real-time Location Systems (RTLS) or Radio-frequency identification Systems (RFID), can provide the exact data or location.

     

  3. Micro Expression Analysis – Facial expressions manifest not only emotions but also allied actions, behavioral patterns and give a lot of useful data when it comes to helping industries like Law enforcement, Forensics etc. Video analytics can be achieved based on data curation, sentiment analysis and other advanced solutions. Expressions like “happy”, “sad”, “angry”, “scared”, “surprised” or “neutral” form the basis of video analytics. 

An advanced video analytics solution may contain multiple functionalities and features including:

  • People management: Crowd detection, queue management, people counting, people scattering, people tracking
  • Vehicle management: Vehicle classification, traffic monitoring, license plate recognition, road data gathering
  • Behavior monitoring: Motion detection, vandalism detection, face detection, privacy masking, suspicious activity detection
  • Device protection: Protection against camera tampering, perimeter protection, intrusion detection, theft and threat detection

By using intelligent video analytics with advanced technologies, we can help in enabling  smarter and secured cities, Law enforcement to be more fool proof, intelligent transportation solutions, retail companies to act fast and be customer friendly, and more.

 

This is the age of embedding intelligence inside the machine and eInfochips is poised to take advantage of its experience in video analytics and embedded domain to help our customers come up with cutting edge solutions. To know more about our offerings in security and surveillance, visit here or  email us at This email address is being protected from spambots. You need JavaScript enabled to view it.

 

About Author

Ankit Narang
Ankit Narang
Marketing Associate

Ankit Narang is Marketing Associate at eInfochips, well-versed in Product Management Trends related to Security & Surveillance Products, Industrial Automation and Automotive. Prior to joining eInfochips, Ankit completed his B.Tech in Computer Science from Maharishi Dayanand University. Other than practicing Product Management Ankit likes to study new technologies and explore opportunities to collaborate for innovative research.

Feel the Difference with “Touchless” Biometric Systems

Warning: Think before you touch the surface. It may be contagious.

 

The global DSC market size is expected to increase from US$ 6.56 bn in 2014 to US$14.6 bn by 2020, a CAGR of 13.01% in the next five years. This phenomenal growth is attributed to a market that has greatly matured and consolidated in the last few years, and primarily driven by two trends: smart cards and biometrics. The latter comprise fingerprint authentication terminals and facial, iris, retina and voice recognition devices. Detailed market research undertaken by Technavio has predicted that the global biometric POS terminals market will grow at a remarkable CAGR of 27% until the close of 2020.

 fingerprint scanning technology

Out of all these, fingerprint authentication terminals have become the single most common sight everywhere around us. This holds true especially for locations where access control is a matter of human identity, not an automatic entry privilege: airports, offices, data centers, educational institutions, hospitals, factories, petrochemical plants, prisons and government/military establishments. The objective of restricting access to a predefined set of individuals is both preventive, i.e. avoiding any untoward incident in the first place, and reactive, i.e. performing a detailed forensic analysis to pin down the exact source of infringement.

 

From here, we will discuss the huge business potential of touchless/contact-less biometric systems. All fingerprint access control terminals need to be deployed in typically harsh environments so they definitely meet consumer grade certifications for safety. However, it has to be added that the problem of hygiene is of huge concern to many people.

 

Some of the manuals, in fact, advise germophobes to wash their hands after each use (or carry a hand sanitizer). There’s a reason behind this. Since, these devices undergo thousands of operations every day, there is a real chance that you will be exposed to infections from other people. A touchless biometric device can therefore, mitigate these concerns easily and efficiently without compromising on security.

 

Other reasons why a touchless biometric device offers natural advantages:

 

Fast

It often happens that the user fails to activate the contact-based fingerprint system despite multiple attempts. This can be a huge source of administrative stress in peak office hours or emergencies. Touchless biometric authentication is therefore, the faster alternative as authentication can happen simply by waving your hands rather than struggling with precise finger impact.

 

Higher Accuracy

A touchless biometric terminal can capture an HD image of fingerprints using high resolution sensors with better matching results making it more accurate. Better processors with GPU ensure faster response time compared to other biometric systems. Furthermore, touchless biometric devices overcome the challenges of delayed fingerprinting as well.

 

User-friendly

Touchless Biometric solutions capture and match fingerprints with single hand movement making it a fast and user-friendly device. Users don’t have to remember how much strain they must put on the device with their fingers, whether it’s been ideally placed around the sensors etc.

 

Reliable

The false rejection ratio and false acceptance ratios are pretty low compared to contact biometric devices. The high resolution sensors ensure high amount of data availability for pattern matching and higher reliability of authentication/identification. Also, it works as easily with wet fingers as dry fingers.

 

Safe

Touchless biometric devices are free from the effect of weather that can in very rare cases, expose you to static shocks (ESD), freezing weather, heat waves etc.

 

Secured

Touchless biometric devices provide improved security, and faster operations without compromising on security. As discussed, the amount of data points that can be matched are substantially higher compared to contact surfaces. Also, pattern matching is carried out on all fingers simultaneously as compared to single finger on conventional touch-based biometric products.

 

Low Maintenance cost

The touchless devices have fewer failure points owing to avoidance of any contact with the device that leads them to have a higher life time and longevity, negligible servicing and maintenance requirements.

 

Enhanced image quality

Touchless biometric devices find their niche with high image sensors, typically ranging from Ultra HD resolutions to 4K Video resolutions. Such terminals do provide capability to have large number of points for pattern matching. One could fine-tune the algorithm to different levels of sensitivity pertaining to different security levels. This implies, at a low security level, the device could be operated at lower resolutions, lesser algorithm sensitivity and faster operation. However, at a higher security, the device could be operated at higher algorithm sensitivity which may be slow but more stringent security is achieved.

 

Ideal for high traffic application

With a touchless system, there is no need to spend time on finger scanning. The person need not be wait till the authentication is over. One can simply gesture with their hands and gain access. These features make touchless terminals ideal for shorter queues and hence suitable for high traffic applications like airports, banks etc.

 

Read about: eInfochips Touchless biometric Success story

 

Having worked on five Product generation of 8 product families with 100+ variants, eInfochips have the proficiency to provide services across the entire product life-cycle right from product conceptualization to design, development, prototyping, testing, validation, qualification, product re-engineering, and sustenance. In addition, we have also carried out competitive benchmarking, performance optimization, part replacement, value engineering user interface design, and product certifications

 

Being a design and development partner for security and identity solution companies, we are able to develop full-fledged touchless biometric access control terminal thus, bringing the touchless fingerprint recognition concept to a wider market.

 

Want to make a touchless biometric terminal, contact us.

About Author

Ankit Narang
Ankit Narang
Marketing Associate

Ankit Narang is Marketing Associate at eInfochips, well-versed in Product Management Trends related to Security & Surveillance Products, Industrial Automation and Automotive. Prior to joining eInfochips, Ankit completed his B.Tech in Computer Science from Maharishi Dayanand University. Other than practicing Product Management Ankit likes to study new technologies and explore opportunities to collaborate for innovative research.

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