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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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.

Casino Royale: 007 Camera Surveillance Techniques for the Gaming Industry

We don’t gamble but can definitely hit the jackpot when it comes to casino surveillance.

casino

Image courtesy: Wikipedia

Getting ready for game night means a flurry of activity for casinos; slot machines firing at all cylinders, Roulette and Blackjack tables pulsating with excitement, and poker rooms filled with long waiting lines of patrons and impatient onlookers.

 

If you work at a casino company, be it in Las Vegas, Atlantic City, Monaco, Macau or just about anywhere else, you know that the security stakes couldn’t get any higher. After all, casinos are a fertile ground for scams by confidence artists, inside men/women, and players with counterfeit currency. Just a couple of years back, an “Ocean’s Eleven” like scene unfolded in Sydney, Australia where a high-roller guest managed to bribe a staff member thereby, cheating $32 million out of the venue.

 

It’s not just the sleek high rollers you need to watch out for. With thousands of websites elaborately teaching you how to pull a fast one on the house, even beginners can be expected to have a few tricks up their sleeves. For instance, this video showing you how to make a card appear/disappear real fast. It’s actually quite easy to get this trick right after a few attempts.

 video surveillance cameras

The gaming industry obviously needs sophisticated surveillance solutions to stay one step ahead of innovative frauds and cheats. Accordingly, we have listed seven useful camera-based surveillance and video analytics techniques, with a brief explanation on how each one of them would stack up against an upcoming “Ocean’s Eleven Crew”.

 

1. 4k camera: Primarily designed for the entertainment industry, 4k offers high resolution (3840 x 2160) compared to the most advanced HD viewing standards available today (1080p). This spells out a difference of 6 million pixels, viz. 8.3 megapixels vs 2.1 megapixels, translating into richer colors, greater vibrancy, additional depth and comfortable viewing even at closer distances.

 

2. High efficiency encoders: 4k is the kind of camera needed to closely monitor every interaction on the floor. However, they essentially need HEVC (High-Efficiency Video Coding) to preserve the network bandwidth and high quality encoders at higher resolutions. These encoders also help provide high color fidelity to ensure recognition of cards and chips/tokens.

 

3. PTZ camera: The casino industry is always in the need of ground-breaking IP cameras that can perform Pan, Tilt and Zoom endlessly for up to 360 degrees. This is where the PTZ camera perfectly fits the bill, as it helps cover a large area at a reduced cost. They also enable functionalities like guard tour, motion detection, privacy masking as well as work-based analytics.

 

4. Low light camera: Unlit areas in casinos are at the highest risk of fraud. This is where you need infra-red night vision cameras that can provide improved visibility and object detection. Technically, they use infra-red rays, which are classified as light within the frequency range of 700 to 1300 nm, just below the human eye visibility spectrum. With enhanced image quality and greater sensitivity in low light conditions, infra-red based low light cameras give you the highest possible security assurance.

 

5. Customized Video Management Systems (VMS):   A standard, completely-off-the-shelf VMS solution can be typically designed for general surveillance. Object detection, gesture recognition, predictive alerts and location-based tracking are key components of a customized VMS solution making them highly suited for casino surveillance. Furthermore, it is important to have edge analytics (Analytics on camera) as well as analytics for the cloud. This calls for VMS integration with non-standard, specialized cameras.

 

6. Reactive analytics: Reactive video analytics help in establishing valid cause post event detection. They incorporates video search, video evidence, forensics etc. Although a lot of effort is being put in place to migrate analytics from reactive to predictive to ensure action is taken before the incident happens in the first place.

 

7. Predictive analytics: Predictive analytics enable the possibility of an event based on certain predefined rules and events. Examples include facial gesture recognition, average motion change in FoV, lost and found prediction etc. Some of the features in predictive analytics include people counting, object-specific detection, card counting, behavior monitoring for card counters, facial recognition, crowd control, gesture recognition, license plate recognition for parking etc.

 

By utilizing image processing algorithms and running some rules on the video, VMS systems can help detect strange activities and scour for suspicious individuals, alerting operators in time to ensure the security of the premises and people’s safety. This can help prevent an unfavorable event before it happens.

 

eInfochips has designed various camera-based surveillance solutions for a number of industries, including edge devices like 4k surveillance cameras, night vision cameras integrated with custom VMS products and smart analytics. We undertake the design of a complete range of surveillance products ranging from custom cameras, NVR/DVR/HVR, custom VMS solutions and advanced video Analytics.

 

eInfochips assists surveillance camera OEMs to study other company products & features that play a key role in the success of business strategy planning & implementation. Drop us a line at This email address is being protected from spambots. You need JavaScript enabled to view it. to know more.

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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