How Is AI Changing Your Customers Video Surveillance Requirements Today?

Artificial Intelligence (AI), Machine Learning, Video Analytics and other industry terms surrounding the revolution that Artificial Intelligence (AI) is bringing to security and video surveillance show that there are many ways to say the same thing. Perhaps the words surrounding Artificial Intelligence video surveillance are confusing but the benefits are clear.

Wikipedia defines AI for Video Surveillance as:

Artificial intelligence for video surveillance utilizes computer software programs that analyze the images from video surveillance cameras in order to recognize humans, vehicles or objects. Security contractors program the software to define restricted areas within the camera’s view (such as a fenced off area, a parking lot but not the sidewalk or public street outside the lot) and program for times of day (such as after the close of business) for the property being protected by the camera surveillance. The artificial intelligence (“A.I.”) sends an alert if it detects a trespasser breaking the “rule” set that no person is allowed in that area during that time of day.

Wireframe head and printed circuit. Digital illustration

The fact is, today there are too many cameras and too much recorded video for security operators to keep pace with. On top of that, people have short attention spans. AI is a technology that doesn’t get bored and can analyze more video data than humans ever possibly could. Artificial Intelligence video surveillance excels at bringing the most important events and insight to users’ attention, freeing them to do what they do best: make critical decisions. There are two areas where AI can have a significant impact on video surveillance today: search and focus of attention. Acknowledge that advances in AI will continue to eliminate the need for human perception.

 

Video Analytics

 

All your video belongs to the AI. Based on decades of investment and research, AI based, machine learning video analytic engines are evolving into fully deployable products, with user-friendly interfaces and scenario-focused solutions.

According to artificial intelligence pioneer Ray Kurzweil, “All learning results from massive, hierarchical and recursive processes taking place in the brain.” AI and video analytics will continue to bring substantial benefits to video surveillance. Artificial intelligence-based video analytics is poised to drive entirely new security and surveillance solutions that deliver impressive results at lower costs.

With newer advances in AI and computing power, companies are developing technologies engineered to make video search as easy as searching the internet. Tools like Avigilon Appearance Search™  Or Milestone’s Smart Search— a sophisticated deep learning AI video search engine — help operators quickly locate a specific person or vehicle of interest across all cameras within a site.

Both technologies use motion metadata to quickly and accurately identify sequences with motion in specific operator-defined areas of a camera view. This is a very CPU intensive operation that is taxing on standard CPUs. This is where a Graphical Processing Unit (GPU) blows the lid off performance bottlenecks. In our certified testing we have seen massive performance and scalability improvements when we integrated a GPU into the encoding and decoding stream as well as running the Analytics functions. Systems like our Shield | Key Pro line have integrated GPUs with the required firmware, OS and VMS level tuning required to take advantage of the processing power.

Performance improvements are excellent. You can easily have a single system successfully manage 50% more cameras with the same hardware.

 

video surveillance NVR

 

There’s no denying it, the role of AI in security today is transformative. AI-powered video management software is helping to reduce the amount of time spent on surveillance, making security operators more efficient and effective at their jobs. By removing the need to constantly watch video screens and automating the “detection” function of surveillance, AI technology allows operators to focus on what they do best: verifying and acting on critical events.

By 2020, video surveillance will generate more than 859 Petabytes of new video every day. A 1080P HD resolution camera in a typical corrections setting generates up to 10 GB of video every day. With the number of cameras increasing rapidly and mandated retention times stretching into years, these baseline requirements can quickly consume Petabytes of storage. It’s not a question of whether your storage and data protection needs will increase, it is only a matter of how much will they grow: 2x, 4x or 10x over the next two to five years? AI is changing video surveillance every day and making it more searchable, more actionable and more useful. Leap into AI in video surveillance today.

Artificial Intelligence and Video Analytics are changing video surveillance by introducing revolutionary new capabilities. But are they changing things for YOUR customers?

Yes, video analytics and video motion detection (Milestones Smart Search, Avigilon Appearance Search, Briefcam etc) have tremendous potential to deliver powerful time savings and intelligence to organizations. But they are notoriously difficult to run on standard IT hardware, frustratingly resource intensive and historically prohibitively expensive.

1. Are your clients currently running video analytics, video motion detection or other artificial intelligence processes on their video surveillance networks?
2. Are they looking to expand the scope and scale of those analytics onto more cameras?
3. If not why not?