Viisights is an Israeli company that provides AI-powered behavioral understanding systems for safe and smart cities, enterprises, campuses, banks, financial institutions, critical infrastructures, transportation hubs and autonomous mobility. Their mission is to use artificial intelligence technologies to facilitate human-like pattern prediction to create fully autonomous video intelligence systems with the ability to identify context and notify operators when an event of interest occurs. Viisights addresses a wide range of applications, including violence and weapon recognition, context-related suspicious activity recognition, crowd behavior and social-distancing, traffic monitoring, indoor and outdoor safety (including fire and smoke detection).
Some of the behaviors that Viisghts technologies can identify and predict:
Violence Recognition - Viisights advanced behavioral analytics identify physical altercations, defined as at least two people who are hitting each other. The video analytics identify hitting as hands moving towards the other person, touching and then disengaging, with the action being repeated numerous times. It can also recognize differing fighting styles including kicking, punching or wrestling in both indoor and outdoor settings.
Weapons Detection - Viisights wise can recognize a person holding a weapon in a threating position. The presence of the weapon alone, not being held by a person in a threatening position, would not trigger an alert, but will when brandished or prepared for use. The behavioral analytics detect the combination of the position and the existence of the specific weapon, helping to eliminate false alarms.
Crowd In-Action - Large groups of people can behave in a wide variety of ways, most of them non-violent. Wise, an advanced behavioral recognition system, can learn to recognize suspicious behavior that can escalate into violent action in a crowd. For example, a large group of people pushing one another or otherwise acting aggressively for a specified period of time would trigger an alert. This allows security teams to take action before the situation erupts into a riot.
Vandalism - Vandalism costs tax payers and business owners is prepared to identify and alert system operators to end it before it escalates. By detecting an individual or group of people repeatedly throwing objects or hitting a surface, Viisights is able to identify vandalism in progress and alert operator to take appropriate action immediately.
The technology used by Viisights is based on a unique implementation of deep neural networks. These AI-driven networks are capable of analyzing and deducting high-level concepts derived from video content.
Viisights technology recognizes the behavior of diverse objects, as well as its relevant contexts. For example, the system is capable of recognizing an individual moving back and forth in a predefined area. Such a behavior may be “loitering”. However, the way people behave at a bus stop is different from their behavior near an ATM machine. Viisights intelligent video analytics system automatically identifies the location type – bus stop or ATM – without any manual setup or calibration. The combination of human behavior (e.g. moving back and forth) and location type results in a unique insight that classifies the movement either as loitering or as something entirely different.
Viisights overcomes these challenges in a two-folded approach:
Using NVIDIA GPU processors which provide the demanding processing power required by the system.
Incorporating a unique system architecture that significantly shortens the processing time of each analysis aspect, thus allowing the system to complete the holistic analysis in near real time.
Our intelligent behavioral recognition video understanding technology utilizes a unique orchestrated architecture that enables the effective implementation of advanced deep neural networks. This architecture supports multiple holistic views by using:
Multi-scale image analysis
Time-aware analysis
Smart integration between object detection and the tracking mechanism
Innovative object detection structure that accelerates performance and increases accuracy
Product model - Viisights behavioral recognition video understanding technology leverages the classical deep learning model, while implementing unique training tools and methodologies to reduce the amount of data required for training.
Viisights uses NVIDIA GPU in both the training and process and in the production system. In the training and system it uses the Tesla P100 GPU and in the production, it uses several types of GPU depends on feature set configuration and the required workload. By such choice of hardware, viisights combines the power of the advanced GPU with affordable cost in the production environment.
In conclusion, through the power of Artificial Intelligence (AI), machine learning and deep learning, Viisights can identify and understand a wide range of behaviors and potential threats, including the ability to detect violence in real time. These innovative behavioral recognition video analytics are helping organizations and municipalities around the world to help minimize and prevent crime, and other risks.
Bibliography for the project
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