Face recognition camera uses biometric technology based on facial feature information, uses a camera or video camera to collect images or video streams containing human faces, automatically detects and tracks the human faces in the images, and then performs face recognition. This is a series of related technologies, also called human image recognition and face recognition. The autonomous face recognition module is based on a high-speed MIPS processor platform, embedded in the industry’s face recognition algorithm, and integrated with an optical face recognition sensor with independent intellectual property rights. Through the UART communication interface and simple peripheral circuits, the face recognition module is embedded in the third-party smart products, so that the third-party products have strong face recognition capabilities.
Face recognition uses a camera or video camera to collect images or video streams containing faces, automatically detects and tracks the faces in the images, and then performs a series of related application operations on the detected face images. Technically, it includes image collection, feature positioning, identity verification and search, etc. In short, it extracts features such as eyebrow height and angulus oris from the face, and then outputs result through feature comparison.
The camera manufacturer obtains the feature data that is helpful for the classification of the human face according to the shape description of the facial organs and the distance between them. Feature components usually include Euclidean distance, curvature, angle, etc. The face is composed of eyes, nose, mouth, chin and other parts. The geometric description of these parts and their structural relationship can be regarded as an important feature of face recognition. These features are called geometric features.
Post time: May-28-2021
