Motion Detection and Multiple Faces Identification using Webcam

The Surveillance Cameras are the currently best-known security due to storing of live video stream into physical drive. By using Machine Learning and Deep Learning models and use of Database, we can make the surveillance camera security more advanced. In this project we built the system “Motion Detection & Multiple Faces Identification using Webcam”, were we uses Webcam as Surveillance Camera and Machine Learning models like OpenCV, and Face Recognition for detecting motion and recognizing of multiple faces. For detecting motion of an object, the Gaussian-Blur method is used and for detecting and recognizing multiple faces with help of previously stored Facial data on Database. Haar-Cascade Classifier method is used. For storing Facial data, a MySQL database is used to get efficiency in recognizing faces. This system helps to provide an automated, and advanced security with less human interface by using the system’s Webcam.