Deep Learning based Surveillance system for Tracking unknown Faces and Movements

Abstract

Security of an area where only authorized people are allowed is one of the crucial issues. Research is constantly going on how to keep track of personnel that are not authorized and are entering the area. Neural networks are being used in many surveillance systems. Deep Learning can also be used for image analysis and pattern recognition. Facial Recognition with great accuracy is one of its applications. In this paper, a deep learning-based model is proposed to keep track of entry of unknown people in any organization by comparing the facial features of every person with those present in our database and saving the records for future verification if required.