• Shivank Sharma
• Pritam khot
• Omkar Patil
• Prof. Raghunath M Kawale

Nowadays the crime rates in society are increasing, it is hard for the police department to give complete surveillance due to lack of manpower. This paper presents the need for facial recognition technology, as part of video surveillance systems. Our system performs face recognition by using the HAAR classifier, extracts the features using the CNN algorithm. The face detection done by the system is more robust, as we are using multiple cameras that capture all possible direction of the human's face. This system gives effective assistance to the police department by using a technique like a face recognition and artificial intelligence in reducing the crime rate of the city and assists in surveillance in real-time.

Video Surveillance, Face Detection, HAAR Classifier, Convolution Neural Network (CNN), Preprocessing, Feature Extraction, Tracking of Criminals, Identification of the Missing Person.

"Face Tracker: A Multi Camera Oriented Surveillance Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.1185-1188, April-2020, Available :http://www.jetir.org/papers/JETIR2004359.pdf

"Face Tracker: A Multi Camera Oriented Surveillance Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp1185-1188, April-2020, Available at : http://www.jetir.org/papers/JETIR2004359.pdf