• Prof. Puneshkumar U. Tembhare
• Anup K. Katre
• Dhanashri A. Adgurwar
• Sharayu M. Bagmare
• Sanket Harinkhede

Recognition of the face is one of the biometric techniques used to recognize any facial image. Since birth, faces have played a crucial role in any individual's social interaction that gives the individual a distinctive identity. Face detection and recognition is a very popular topic in biometric research as it is used for the safety and security of an individual. Face recognition technology has attracted a large number of researchers due to its wide range of application value as well as market potentials, such as fraud detection and video surveillance. Face recognition plays a very important role in the surveillance system, as there is no need for the participation of an object. We used an image set algorithm with the help of OpenCV and Python programming and having a pre-existing dataset of faces. The module is divided into three sub modules:1] Detection module 2] Training module 3] recognition module.

Face detection, Face Recognition, OpenCV, Haar cascade, Adaboost algorithm

"Smart Surveillance System Using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.439-446, April 2020, Available :http://www.jetir.org/papers/JETIR2004552.pdf

"Smart Surveillance System Using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp439-446, April 2020, Available at : http://www.jetir.org/papers/JETIR2004552.pdf