We use a special module for reading the video stream to queue the received frames for faster processing. From the queue, the frame is redirected and processed by the face detector and feature extraction tool, the output is a feature vector, which is later stored in the database. Integrated similarity measurement algorithms are used to compare newly acquired feature vectors with those stored in the database to determine if a person exists in the database or not.
Web Camera Pro application uses data vision theory to identify objects within video, search through catalogues of images, and extract information out of images.
Object detection deals with detecting instances of semantic objects of a certain class (such as a dog, a human, or a car.) in digital images and videos.
Web Camera Pro Video Surveillance
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