Autonomous Surveillance Platform
Traditional surveillance methods rely on security personnel to observe and interpret surveillance data in real-time. Inevitably such methods do not scale well for busy environments, cannot merge data from disparate sources, introduce opportunity for human error and ultimately fail to provide adequate protection for modern transport corridors. The proposed solution offers real-time analytic techniques which are applied to video and RF data to detect and track human subjects through secure zones. This allows for the automatic detection of events by the system in busy areas with complex traffic ensuring that critical events are not missed. The system offers: passenger profiling (Gender, Age), 3D subject tracking, subject reacquisition, tolerant of variable Illumination and rapid event search & retrieval.
