Real time face recognition of video surveillance system using haar cascade classifier

<div>This project investigates the use of face recognition for a surveillance system. The normal video system uses in closed-circuit television (CCTV) to record security purpose. It is used identify identity person through their appearances on recorded video, manually. Today’s camera usually not occupied with With some modification, can be as detection and that done real-time. proposed makes automatically by using Haar cascade classifier. hardware this were Raspberry Pi processor Camera module. development consist three main phases which data gathering, training recognizer, process. All have been executed Python programming OpenCV library, performed Raspbian operation From result, successfully displays output result human recognition, facial angle within ±40°, medium light condition, distance 0.4 1.2 meter. Targeted image are allowed wear accessory long covering structure. In conclusion, considered, reduce cost manpower order real time situation.</div>