Think About the Future

Think About the Future

Surveillance used to protect people, places and assets

It has now been over 20 years since the first IP Camera was released by Axis Communications back in 1996. Axis originally developed the system to monitor the sea for oil spills. It saved their customers from having to take two flights a day. Today, this method of video delivery is the norm; digital cameras are an everyday part of life, delivering daily cat videos to Facebook as well as monitoring our businesses and homes for security.

Video is a natural choice for security because as humans, we use our eyes more than any of our other senses. We see CCTV cameras everywhere, so why are the majority of alarm systems not videoenabled? If video is so natural, why is it not being used more in the alarm monitoring industry? Most cameras you see around a building are connected to a NVR/DVR within the building itself, or just recording without anyone watching.

Protect Your Assets

Businesses that use video surveillance to protect their assets, such as car lots, can find it quite valuable, but it’s not realistic in most cases for someone to watch the feed 24/7. Video surveillance is often combined with other detection methods, such as a perimeter breach or motion detectors, which raise an alarm within automation software. The alarm is brought to an operator, and they decide what to do based on what they observe. The problem with this approach is that it can be error-prone—from detecting the breach, having the operator make a judgement call about what they see, how long they continue to watch, and how far they go back and watch.

The big disruptor to this problem is video analytics. Video analytics is becoming commonplace for showing changes that may be happening within a picture to enhance and help an operator see movement. The current challenge with analytics is building context around the potential intrusion: is the movement a human or just a stray dog or cat? Is someone taking a short cut or are they loitering with intent? As analytics become more powerful, the decision about whether to raise an alarm for a human to see or not can be made by the software. This removes error-prone human decision-making, and begins to make this kind of technology more useable in a traditional central station. Potentially, it could even replace traditional movement detectors.

One company that has gone further than any other with providing video in the traditional central station is I-View Now. I-View Now provides both live video and event based clips to show the operator what happened. The event based clips have pre-alarm which provides video from prior to a security event, the event itself, and immediately post-event. A typical clip is 15 seconds in length, which gives the operator a very focused view of what is happening, making it much easier for them to decide whether to progress the alarm or not. The I-View Now system uses traditional methods of security system signals, such as a PIR, and video analytics signals to generate alarms.

“Soon all video systems will have video analytics behind them,” I-View Now’s founder, Larry Folsom said. “It’s the future of our industry.”

This move to analytics is becoming possible because the processing power of equipment like cameras and servers is growing exponentially. This allows more processing power on the “Edge.”

Edge computing is a method of optimizing cloud computing systems by performing data processing at the edge of the network, near the source of the data. Conversely, the advent of cloud computing is allowing complex analytics to take place in the cloud, effectively bringing huge power to even the dumbest device in the field.

False alarms continue to be the biggest issue facing the alarm monitoring industry right now. They are primarily caused by motion detectors (PIRS), but also human error, low batteries, unsecured doors and windows, pets, rodents, insects and even poor installations. But if video analytics can distinguish a human from a pet, it can distinguish a child’s balloon floating around, and other non-threatening types of movement. Low batteries don’t affect its performance the same way they affect motion detectors. So, shouldn’t this be the natural way forward for the security industry?

The biggest objection is privacy. How do you feel about cameras watching your every move? How do you feel about those images being streamed into the cloud? It’s unnerving in a domestic environment. In a commercial environment, there are other privacy issues, such as commercial secrecy.

Maybe it’s time for a new type of detector. Let’s call it an “Optical Analytical Sensor.” Now, as far as I am aware, this device does not yet exist. However, it could work on the “Edge” and receive new, updated analytics as they change, but not be able to transmit video. It would have no video storage; all it could do is pass events to a monitoring system. These events would include a description, such as “Human, identified as ‘Rod Coles,’ 98 percent confidence level,” but no video. The nice thing about this approach is the bandwidth requirements, often still an issue with video, would not exist.

Now, let’s take it further. We could calibrate these devices to recognize family members and friends. User awareness is a critical part of taking smart home systems to the next level. By recognizing who is in a home or business, the system can begin to make smart decisions. For example, why would we need to enter a code to disarm an alarm system if the Optical Analytical Sensor recognized that it was a valid user of the system and automatically did it for us?

What about a commercial application? If you needed a fully secure environment, you could have a permanently armed system. The Optical Analytical Sensor would just ignore the individuals who are allowed and generate an alarm for anyone who wasn’t. You could easily create areas that were off limits to certain people. You could link the system to access or door control and integrate one more technology into the mix. A more traditional approach could be implemented which armed the system “AWAY” if it didn’t detect anyone moving around for a set period, or even better, the system could track when users leave and then arm.

It is easy to see how video surveillance with video analytics could improve security applications, but related industries such as PERS and health and safety could also have huge changes as analytics become more powerful. Additionally, retail organizations can benefit from being able to monitor the flow of people in and out of their stores, where they go and what their demographics are. Ultimately, good analytics will enable video surveillance to become more widespread within the Alarm Monitoring space. It’s only going to get better as more intelligence is built into these systems.

This article originally appeared in the August 2017 issue of Security Today.

Featured

  • Allegion, Comfort Technologies Implement Mobile Credentials at the Artisan Apartment Homes in Florida

    Artisan Apartment Homes, a luxury apartment complex in Dunedin, Florida, recently transitioned from mechanical keys to electronic locks and centralized system software with support from Allegion US, a leading provider of security solutions, technology and services, and Florida-based Comfort Technologies, which specializes in deploying multifamily access control, IoT devices and software management solutions. Read Now

  • Mall of America Deploys AI-Powered Analytics to Enhance Parking Intelligence

    Mall of America®, the largest shopping and entertainment complex in North America, announced an expansion of its ongoing partnership with Axis Communications to deploy cutting-edge car-counting video analytics across more than a dozen locations. With this expansion, Mall of America (MOA) has boosted operational efficiency, improved safety and security, and enabled more informed decision-making around employee scheduling and streamlining transportation for large events. Read Now

  • Security Industry Association Launches New “askSIA” AI Tool

    The Security Industry Association (SIA) has unveiled a brand-new SIA member benefit – askSIA, a conversational AI agent designed to help users get the most out of their SIA membership, easily access SIA resources and find the latest information on SIA’s training and courses, reports and publications, events, certification offerings and more. SIA members can easily find askSIA by visiting the SIA homepage or looking for the askSIA icon in the top left of webpages. Read Now

    • Industry Events
  • Industry Embraces Mobile Access, Biometrics and AI

    A combination of evolving workplace dynamics, technology innovation and new user expectations is changing how people enter and interact with physical spaces. Access control is at the heart of these changes. Combined with biometrics and AI, mobile access control has become increasingly crucial for deploying entry solutions that are seamless, secure and adaptive to user needs. Read Now

  • Sustainable Video Solution Delivered for Landmark City of London Office Development

    An advanced, end-to-end video solution from IDIS, with a focus on reducing waste and costs, has helped a major office development in the City of London align its security with sustainability objectives. Read Now

New Products

  • Automatic Systems V07

    Automatic Systems V07

    Automatic Systems, an industry-leading manufacturer of pedestrian and vehicle secure entrance control access systems, is pleased to announce the release of its groundbreaking V07 software. The V07 software update is designed specifically to address cybersecurity concerns and will ensure the integrity and confidentiality of Automatic Systems applications. With the new V07 software, updates will be delivered by means of an encrypted file.

  • QCS7230 System-on-Chip (SoC)

    QCS7230 System-on-Chip (SoC)

    The latest Qualcomm® Vision Intelligence Platform offers next-generation smart camera IoT solutions to improve safety and security across enterprises, cities and spaces. The Vision Intelligence Platform was expanded in March 2022 with the introduction of the QCS7230 System-on-Chip (SoC), which delivers superior artificial intelligence (AI) inferencing at the edge.

  • ResponderLink

    ResponderLink

    Shooter Detection Systems (SDS), an Alarm.com company and a global leader in gunshot detection solutions, has introduced ResponderLink, a groundbreaking new 911 notification service for gunshot events. ResponderLink completes the circle from detection to 911 notification to first responder awareness, giving law enforcement enhanced situational intelligence they urgently need to save lives. Integrating SDS’s proven gunshot detection system with Noonlight’s SendPolice platform, ResponderLink is the first solution to automatically deliver real-time gunshot detection data to 911 call centers and first responders. When shots are detected, the 911 dispatching center, also known as the Public Safety Answering Point or PSAP, is contacted based on the gunfire location, enabling faster initiation of life-saving emergency protocols.