Advanced Security Surveillance Using Motion Detection

Computer vision field is becoming the area for the research these days. Technological improvement made the computers and imaging hardware to find their applications in the field of computer vision. Hence they found applications in the military for targeting, surveillance and biometric etc. Originally, business used video surveillance as both a deterrent to thieves and evidence to help police to apprehend criminals. Objective of our work is to ‘Provide foolproof’ security in the restricted zones like bank, jewelry shops etc. There are many traditional technologies which provide security to restricted zones but these traditional technologies do not take quick action and are not foolproof. To give strong security solutions for restricted zones, this will have smart camera connected to the cell phone by which one can take quick action without wasting time. In our project approaches used for face recognition and face detection are SMQT algorithm, split up Snow classifier and PCA for efficient face recognition.