SITUATIONAL AWARENESS AND IDENTIFICAITON SYSTEM (SAAIS)
CSC Integrations is committed to doing its part in combating the mental health crisis that has gripped our nation. The founder and CEO, Jason Jenkins, having dealt first hand with the aftermath of suicide involving children and trains decided to take this issue head on. Having a background in law enforcement and experience in software development, Jason and his team developed the Situational Awareness and Identification System, or SAAIS (pronounced "Say-is") for short. The Situational Awareness and Identification System uses a wide variety of security control technologies, such as thermal imagaing, infrared, pan, tilt, and zoom cameras, coupled with machine learning software known as a Deep Neural Network Artificial Intelligence Engine and advanced video analytics, to identify behavioral patterns that are consistent with individuals who approach critical infrastructure (i.e., railroad tracks, bridges, etc.) with the intent to commit suicide or criminal acts.
THE DEPLOYMENT THAT SAVES LIVES!
The Situational Awareness and Identification System is the first-of-its-kind early warning and alerting system that uses machine learning to learn behavioral patterns that are consistent with a specific type of behavior displayed prior to, during, and after an incident. SAAIS was recently deployed on the Caltrain tracks in Palo Alto, California, a community plagued by a large amount of suicides involving children from the community. Since its deployment at one intersection, SAAIS has successfully deterred and/or identified suicidal behavior resulting in a complete eradication of these incidents from occuring along the monitored corridor.
SUICIDES ARE NOT THE ONLY PREVENTABLE SITUATION THAT SAAIS CAN HANDLE.
Suicides and criminal acts are not the only types of incidents that the Situational Awareness and Identification System (SAAIS) can identify, alert, and prevent. SAAIS and its Deep AI can identify vehicles that are stuck, stalled, or stopped on the at-grade crossings and alert train control of the impending danger ahead on the tracks. Using the same machine learning system, SAAIS has the capability to identify patterns of vehiclular traffic and determine when such a pattern would create an emergent situation, placing the train, vehicle, and its occupants in grave danger. Although it is understandable, there is a hesitation for train companies to move towards any new technology that comes to market. But SAAIS, with direct connection to the train engineer, can solve many of these issues that arise on the railroad tracks. The time has come bring technologies, such as SAAIS, to the forefront to help ease the problems that our communities are facing.
WHAT SAAIS OBSERVES IN THE DAY OR NIGHT!