Face Recognition CCTV
Face Recognition in a Crowd – Stadium Video Analytics
Facial Recognition CCTV is a video analytics solution that detects and identifies multiple faces simultaneously in a crowded scenario like a stadium. Search for similar faces from a single camera or across multiple cameras In use in thousands of cameras. Detect matches with faces in the database and provide alerts. Create a log of faces on the scene for later investigation.
ATSS Face recognition CCTV is an automated surveillance system for identifying people in public places, such as airports or shopping centers. It is based on the use of video cameras to capture images of individuals and then compare these images with stored images from databases. The system can be used to identify individuals who are wanted by law enforcement or other authorities, or those who are considered dangerous.
Face recognition CCTV has been criticized by privacy advocates because it could be used to track individuals without their knowledge or consent, leading them to fear that they will be falsely accused of crimes they did not commit.
Attention: Facial recognition software detects faces in the camera’s field of view – as many as 15 at the same time – and matches them against faces previously stored in the database.
Interest: Facial recognition software that can detect multiple faces at a time means you’ll never miss a person, no matter how fast they’re moving. It’s also great for crowded scenes where more than one person is looking straight into the camera.
Desire: Designed for use with a surveillance system, Face Recognition is currently being used by law enforcement agencies to identify suspects and locate missing persons.
Action: This product is wonderful for capturing facial data for identification purposes and works great in busy scenes.