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19-21 December 2019 • India Expo Mart, Greater Noida, Delhi NCR The last moment change of venue (precisely in November 2019) from Pragati Maidan, New Delhi to the India Expo Mart, Greater Noida was an apprehension for all the stakeholders including participants, but the unexpected turned positive and the 13th edition of International Fire & Security Exhibition and Conference IFSEC India 2019 concluded at a positive note. Security market in India is growing at a CAGR of 20% The private security industry in India provides employment to more than 70 lakh people Power packed conference on power insights into the world of security Supported by American Society for Industrial Security (ASIS) Mumbai, ASIS Bengaluru, Asian Professional Security Association (APSA), Central Association of Private Security Industry (CAPSI), Electronic Security Association of India (ESAI), Indian Institute of Drones (IID), Global Association of Corporate Security (GACS), and SECONA, along with Assocham as Strategic Partner and Mitkat Advisory as knowledge Partner, the show brought together internationally renowned exhibitors, consultants, business experts, and key government officials on one common platform. The show saw participation from various countries and brands. Quite a remarkable number of key government officials, consultants and business ex19-21 December 2019 • India Expo Mart, Greater Noida, Delhi NCR perts/ professionals such as CSOs, admin heads, CIOs, CTOs, facility heads, purchase managers, system integrators, and dealers and distributors made their presence to the show. “Governments, world over are unanimous on the need to provide a safe environment for their citizens. With challenges such as criminal activities, terrorism and crimes against women, cities are expected to manage and control the change to allow their communities to have a standard of living that meets modern-day expectations and induce a feeling of safety among the citizens. India has been vulnerable as well as a progressive zone with ongoing threats to homeland security, rising urbanisation, proliferating crimes against women and low people-to-police ratio which are some of the most significant factors bringing in the need to augment safety and security in the country. Similarly, several organizations globally, and in India, are realizing the vital need to refurbish their security strategy by considering a lot of factors, some that didn’t even exist a few years ago. This will help monitor as well as surmount avoidable accidents. This has opened up a huge market for leading players in the security and surveillance industry, with global revenue spends on security hardware, software and services projected to reach $103 billion this year. Some trends such as artificial intelligence, cloud computing, cyber security sensor integration have kept the surveillance industry in India on the path to transformation,” said Yogesh Mudras, Managing Director for Informa Markets in India. IFSEC India included in its already formidable repertoire, products and technologies pertaining to CCTV & surveillance, biometrics & RFID, integrated systems, access control, GPS systems, video management, parking automation, transport, perimeter protection, IoT, smart homes, security & safe cities in addition to surveillance for the knowledge of end users and providers. Key global brands and distributors include Premier Plus Partners – Aditya Infotech, CP Plus, Enterprise Software solutions Limited (eSSL), Ezviz, Globus Infotech, Markon, Ozone Overseas, Prama Hikvision, Syrotech, Teltonika, and Premier Partners – Facego, Hogar, Netgear, Perto Catrax, Pictor, Seagate, True View, Zebronics amongst others. Prama Hikvision Premiers Smart Security Innovations with a Firm Resolve for ‘Make in India’ Prama Hikvision exhibited its latest innovative technologies, products and solutions with a firm resolve for ‘Make in India’ at the IFSEC India 2019 during 19-21 December 2019 at India Expo Mart, Greater Noida. They got an overwhelming response from the security professional community. Ashish P. Dhakan, MD & CEO, Prama Hikvision India Pvt. Ltd. commented, “We are brimming with ‘Make in India’ spirit while participating in IFSEC India 2019. This year marks the 10th anniversary of Prama Hikvision India, and the booth reflects the true spirit behind the grand vision and mission of the ‘Make in India’ roadmap. The big wins at the latest IHS report (No.1 in India and World) and a&s Security 50 (Globally No. 1) have reaffirmed our market leadership. We have got a positive response to our ‘Make in India’ manufacturing facility and India specific products in the Indian security market. The overwhelming response from the security professional community has reaffirmed our initiative.” He further added, “We displayed the smart security innovations and diverse AI enabled applications to showcase our technology prowess and capabilities. We also showcased products and solutions in machine vision and robotics categories. Hikvision’s core technologies on display were facial recognition, ANPR, false alarm reduction, color imaging 24/7, ultra low light imaging, 4K resolution, smooth streaming, thermal imaging, seamless image stitching, Power-over-Coax, Power-over-Ethernet, H.265+ codec, direct streaming and alarm verification.” The ornately designed Prama Hikvision booth displayed the latest video surveillance cameras including ColorVu, AcuSense, thermal, DarkFighter-X, anti-corrosion and underwater. The live demos of smart home (EZVIZ smart home products and solutions), video surveillance (DeepinView camera, DeepinMind NVR, Easy IP 4.0), access control (face recognition terminals), perimeter security (security radar), and intrusion alarm (AXHub hybrid) product categories were displayed at the booth. In the special product category, walk-through metal detector, smart pole, interactive screen and transparent LED screen were displayed at the IFSEC India expo. Smart vertical solutions With years of experience in surveillance market, Hikvision has solutions designed for all the business verticals which provides them the right applications and security solutions to secure their business. At IFSEC, smart vertical solutions were the biggest attraction for the system integrators and consultants. The Hikvision booth had also displayed the key innovative vertical solutions in transportation (ANPR, RLVD, helmet detection, forewarning traffic congestion, etc.), smart education (session recording, class inspection, interactive session, mobile surveillance, vehicle mounted access control, central management system at school, mobile client for parents for SMS notifications, attendance reports), and retail (business intelligence – people counting, queue detection, heat mapping), banking (ATM solution), healthcare, and PPOG (power, petroleum, oil & gas).  IFSEC India conference Prama Hikvision was represented by A.L. Narasimhan, Vice President, Strategic Business…

Surveillance and security in traditional sense is now moving forward – in leaps and bounds. Gone are the days when people were using analog cameras. Analogs are rapidly being replaced by digital cameras which enable video analytics to perform on an incoming digital stream. Also, between 2005 and 2010, there was a massive push to standardize the interface between the camera, and the software that talks to it over an ethernet cable. ONVIF – the Open Network Video Interface Forum – meant to provide and promote standardized interfaces for effective interoperability of IP-based physical security products, laid these standards. (Though many camera manufacturers claim that they are ONVIF compliant – one must check Most of the terabytes of stored video is useless as it does not carry any useful information. Manual searches need to be conducted to find the relevant information one is looking for. This turns out to be a time-consuming process, as well as by the time information is found it might be out of date. This is where video analytics comes in fray which helps to some degree by looking for only relevant information – thereby saving time and resources.Even though video analytics saves a considerable amount of time, it still does not avoid the manual process involved in looking at video instead of data. Now at this point – artificial intelligence and machine learning are meant to come in. Artificial intelligence builds a model based on a few initial parameters that are input by the user. Without getting into the details, it quickly builds a neural network and tells the confidence level of each object found in the video frame. This is a highly mathematical process involving convolution, calculus, probability and statistics. Based on the confidence level of each object found in the frame, one can fine tune the neural network by changing the input parameters. This fine tuning is called Machine Learning by which the neural network raises the confidence levels above 95% for each object found. We have done this in our ‘intrudX’ product whereby object confidence levels go from as low as 60% to as high as 98%. One can now put the neural network in training mode telling it the target end result a user wants. The machine can self-learn by varying hundreds of input parameters till the end target is met, and at this stage the user gets the model what he has been expecting. He now continues to use this highly accurate model to build his applications to solve problems specific to their market vertical. So, what have AI/ ML done? They eliminated the requirement of video examination – now, only the extracted data from the video stream is examined. This is a far more intelligent way of examining video streams in a far more efficient way – allowing the end user to build multiple intelligent applications on top of this. This is the ‘wave’ of the future as multiple petabytes of data cannot be examined after this fact. With the number of cameras exponentially increasing all across the globe, the best way to process video is on the fly – in real time – as it saves time, money and resources across the board. However, some time and money have to be invested for a particular use case to fine tune the neural network model. Once this process and methodology are mastered, one can use it for other use cases as well. In our case, some of ‘intrudX’ models took up just 30 minutes to bring up the confidence level above 95%, while in other cases it has taken even a week. Factors that affect the training period are: Lighting, Number of objects in the frame, and Complexity of the shape of the object. A couple of used cases are described hereunder to make this concept clear. USED CASE I Implementing standard operating procedure (SOP) While defining SOP for a drug testing methodology in a pharmaceutical laboratory – following are the requirements: Capturing and time stamping when an employee enters and exits the laboratory. Measuring the procedure when the drug testing starts. Identifying colored flasks and test tubes, and their movement from one step to the next. Identifying the microscopes and other medical instruments used in the measurement and how they are being used. Flagging the deviation, if any, from SOP and report it to the administrators. Obviously, one can use identifying objects in the video stream and determine whether the SOP is being followed or no. This can be used by the laboratory management team to improve overall efficiency of the laboratory and its’ employee performance without looking at the video streams. USED CASE II Measuring queue lengths While measuring queue lengths at bank counters, airport check-in lines, hospitals etc – requirements are as follows: Determine queue lengths to fix arrival and service rates. Queue lengths will increase if service time is greater than the person’s arrival time. Flag these so the service efficiency can be improved Summary The neural network model has over 25 million pre-defined objects in the database which have been developed using artificial intelligence techniques. In a typical end user case a very small subset of these 25 million predefined objects is required. New objects are continuously being added to the database. The model also allows itself to be put in training mode based on what the end user really wants. ‘intrudX’ Object Classification Engine takes advantage of this feature and provides interfaces so that end user case applications can be developed rapidly and be put to use. We provide extracted data, interface to the ML neural network model, as well as application development services for the customer. By- Paresh Borkar, Founder & MD, intrudX Security Solutions, LLC