Surveillance
Analytics & AI
The increase in video surveillance means that the monitoring, analysing and recording of an ever increasing quantity of video images requires an ever increasing number of operators.
Scientific studies show that the attention of operators when monitoring screen images drops off significantly after a short time, so that security-related incidents can no longer be detected in a timely manner. Video Analytics provide a reliable and ever-present alternative to operator monitoring, allowing the operators greater freedom to concentrate on existing incidents and events.
Because of the varying requirements of real world scenarios, the algorithms used will be specially designed and optimised for the desired application, however some common AI applications include:
- ANPR (Automatic Number Plate Recognition)
- Facial Recognition
- Behaviour recognition
- Object Classification
- Motion Tracking
Example Uses of AI
- Area monitoring for control of recording
- Camera monitoring to prevent attempts at tampering
- Detection of Left luggage
- Detection of loitering and suspicious behavior
- Detection of traffic incidents
- Traffic violation monitoring
- Over crowding detection
- Detection of suspicious objects
- Damage and theft detection
- Protection of privacy in public and private monitoring areas
- PTZ and Thermal camera tracking
- Room, perimeter and grounds security against break-ins and break-outs
- Securing critical infrastructure against attacks
