An intelligent automated monitoring system using video surveillance based recognition

Abstract

The current pandemic situation makes it necessary to work in a contactless environment where human intervention is minimalized at most. Video surveillance is an important security asset for monitoring purposes at banks, department stores, highways, and crowded public places. With improved technology and a growing population, surveillance is becoming a key area in research. The best utilization of technology for surveillance is the focus area today. In recent times, object detection has come to the frontline as an important application in the field of Deep Learning. Unlike traditional methods, object detection in deep learning is characterized by its ability to learn features and depict the same. The proposed system aims at creating a platform that reduces/eliminates human intervention for monitoring purposes by using a CCTV camera assisted automated monitoring system. There is scope for automation, which would perform object detection and automatically open the door/gate when the same has been recognized. Here, CNN models are to be used for real-time object detection via the CCTV camera.