The CCTV camera captures live or recorded video footage of the area under surveillance, including the faces of people within its field of view. This footage is typically high-resolution to ensure clear and detailed images of faces.
Using specialized software, the CCTV system detects and identifies human faces within the video frames. This detection process involves distinguishing facial features such as eyes, nose, mouth, and overall facial structure.
Once a face is detected, the system extracts specific facial features from the image. These features may include the size and shape of the eyes, the distance between the eyes, the shape of the nose, and the contours of the face.
The extracted facial features are converted into a unique digital signature or “faceprint.” This face print is essentially a mathematical representation of the individual’s facial characteristics, which serves as a template for comparison and recognition.
The faceprint of the detected face is compared against a database of stored faceprints. This database may include known individuals, such as employees in a workplace or authorized personnel in a secure facility.
The system compares the detected faceprint with the faceprints in the database to find a match. If a match is found within a certain threshold of similarity, the system recognizes the individual associated with that faceprint.
Based on the recognition results, the system can trigger various actions, such as granting access to a secure area, sending alerts for unauthorized individuals, or logging attendance records.