Viisights AI Hones Video Surveillance

Viisights develops artificial intelligence techniques to enhance video surveillance in real time.

Viisights leverages artificial intelligence to integrate behavioral intelligence with video surveillance and video streamds. Viisights Wise is equipped with a number of features including violence and weapon recognition, context-related suspicious activity recognition, crowd management, vehicle and traffic surveillance, indoor and outdoor safety (including fire and smoke detection), and resource optimization, the company explains. The technology does not recognize individuals, but behavioral patterns of interest.

Its proprietary video understanding technology leverages real-time temporal and holistic video streaming analysis and understands complex dynamic situations in real-time video feeds such as fights, suspicious behavior or road accidents, which cannot be detected by traditional object classification technology, Viisights says. The AI engine is trained with video clips based on convolutional neural networks and LSTM models that create a unique event signature.

Viisights’ solutions can be deployed for smart cities, enterprises, campuses, banking and financial institutions, critical infrastructure sites, transportation hubs, and security guard companies.

Science fiction writers Jerry Pournelle and Larry Niven described this problem in their 1981 novel Oath of Fealty:

There were TV screens around all four walls, banks of them, with uniformed men seated in front of each bank. In the center of the room was a huge circular console with dozens of dials and buttons. More TV screens were built into the console. A uniformed captain wearing a tiny telephone headset-microphone sprawled in a comfortable chair in the middle of the center console...

Isaac Blake had a square face with roundness shaping under the square chin, a square body also turning round, black-and-white hair with the white winning. He lolled at ease before the bank of TV screens and sipped coffee. Every twenty seconds or so he touched a knob and the pictures shifted. There seemed no order to the flow of pictures. Now the camera looked down on the heads of hundreds of shoppers strolling along a Mall, bright-colored clothing that looked strange because the light was artificial but the scene was so large that you expected it to be sunlight. Now a view of a big dining hall. Now a view through the orange groves, looking up at Todos Santos standing a thousand feet tall...

"But wouldn't it be better to have assigned places? Instead of jumping around—"

"Bosses don't think so. They want us alert. Who can be alert just staring at one scene all the time? The math boys worked it out, how many of us, how many TV screens each, probability of trouble—over my head, but it seems to work."

Via BiometricUpdate.

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