Real Time Object Detection Using SSD For Bank Security

Abstract

Object detection in real time applications are more challenging and thus faces more difficulties in designing object detection applications. Object detection is a method of identifying predefined objects from images, videos or from other input sources. It consist of different steps for identifying the object from its surroundings. Earlier detection system uses different techniques for objection detection with computationally demanding networks that requires high GPU and needs more power. Considering the current circumstances in the society, it is better to design real time object detection system for security applications. The newly evolved technique such as Tensorflow(TF) along with OpenCV can be used used for object detection. The CCTV footages can be used as input and the monitoring of it can be done inorder to find any security violations. The proposed real time object detection system for bank security mainly aims in providing security to bank vaults. This system can also be used for other security applications where human entry is restricted. The proposed model can be used for different security related applications effectively.