viisights’ next generation of video analytics offer ‘behavioural understanding’

A video analytics system that provides ‘behavioural understanding’ can yield more meaningful and actionable data for a range of applications. In public safety and security, such a system can alert on violent or suspicious behaviours, such as people fighting, vandalism, people with weapons, etc.

In advanced traffic surveillance and monitoring, it can provide alerts to vehicle collisions (accidents), traffic hazards or vehicle that aren’t using the road properly, such as a car that stops in the middle of the junction. For enterprise and campus security, it can provide advanced anti-tailgating and detect unauthorised activity.

Video surveillance infrastructure

viisights was founded by a group of entrepreneurs with track records in developing technology businesses

These uses are among the benefits of viisights’ video analytics technology based on behavioural understanding of video content. “It means we can extract more meaningful data from the huge amount of video content that is captured, and we can transform that data to actionable insights that eventually justify the massive investment in video surveillance infrastructure,” says Asaf Birenzvieg, CEO of viisights.

Their behavioural understanding systems for real-time video intelligence leverage artificial intelligence technology. viisights was founded by a group of serial entrepreneurs with track records in developing technology businesses. The Israeli company’s founders recognised a growing global need for intelligence to make physical and virtual public areas safer – and realised the role that smart video understanding technology can play.

Developing artificial intelligence technologies

viisights is committed to developing artificial intelligence technologies that facilitate human-like video understanding, which in turn serves as the basis for fully autonomous video intelligence systems powered by pattern prediction technology. “Behavioural recognition is the future of video analytics and the next generation of the object classification analytics systems that hold the majority of the market today,” says Birenzvieg.

viisights has developed a video understanding technology for real-time video processing

“To date most video analytics systems still base their product features on static analysis of objects from images using image recognition, even the ones that use ‘AI analytics.’ Products built using such object classification technology are extremely limited.” For example, object classification analytics cannot recognise behavioural events in a video such as people fighting or a car collision because such behaviours can’t accurately be concluded in large scale from analysing a single static image/frame.

Video understanding technology

viisights has developed a video understanding technology for real-time video processing. The technology can process live video feeds. In addition to recognising a particular object (e.g., person) and its attributes (e.g., red shirt), the system can understand an object’s actions, interactions with other objects (events), the scene being viewed (i.e., crowd is gathering, riots) and the context (a car is driving on the road or on the sidewalk).

The main verticals are smart cities, enterprises and campuses, banks and ATM security

“Basically, we are able to extract more meaningful data from a live video feed and therefore create actionable insights and greater ROI,” says Birenzvieg. The company focuses mostly on security and safety use-cases. The main verticals are smart cities, enterprises and campuses, banks and ATM security, security guard companies and transportation hubs. The company is working on a new product for in-vehicle monitoring mostly for security, safety, vehicle protection and proper vehicle use; it monitors passengers’ behaviour inside a bus, train, or taxi. The product will come to market next year.

Video management system

viisights’ video analytics offering is currently optimised for server-side deployment, and the integration architecture is similar to most video analytics systems. From one side it is integrated with the video management system (VMS).

They are a Milestone verified partner and soon will be part of Milestone's marketplace. From the other end, it is connected to a command-and-control system for processing the data and presenting the alerts to the end-user. The analytics company makes most sales through system integrators. They have partnerships with big system integrators like Motorola Solutions and NEC and are also working with smaller ones. They are looking to expand their system integrator network, mostly in the USA and Europe.

Behaviours can have many variations and they can be very diverse

Cloud video surveillance

“We will continue to invest in performance and accuracy, meaning higher recall and lower false positive rate,” says Birenzvieg. “Since our major value proposition is in behaviour recognition, behaviour events many times are not clearly defined, which is very different from object classification. Behaviours can have many variations and they can be very diverse.”

An example is a simple behaviour like a person falling on the floor. A person can fall on the floor in many ways, but the challenge is to ignore similar behaviours that are not a person falling and that confuse the system, such as a person bending over to tie his shoelaces. With cloud video surveillance becoming a trend, viisights is also looking into offering some of their advanced functionalities in a video-analytics-as-a-service-model.