Face Recognition based Surveillance System Using FaceNet and MTCNN on Jetson TX2

Abstract

Surveillance systems, in spite of the recent advances, still poses many challenges, especially in the field of patrolling or tracking of subjects through CCTV footage or any other portable drone mechanisms. Real time monitoring of public places for possible suspects are still made through manual observations in many places. The manual labour involved and the human errors that can occur makes the system less efficient. Many research attempts were made for designing foolproof systems and still going on, understanding the importance of the problem. This paper presents the implementation of an intelligent multicamera Face Recognition based surveillance system using FaceNet and MTCNN algorithm on Jetson TX2. The proposed portable system tracks the subject or the suspect with the camera ID/location together with the timestamp and logs his presence in the database, using multiple camera installation.