Design of an Embedded Surveillance System using Raspberry Pi

Abstract:Nowadays, identity thefts and frauds have become a major issue in our society. To mitigate the fraudulent activities, it is necessary to make use of a sophisticated facial recognition system. The objective of the project is to build a surveillance system based on facial detection and recognition technologies. This paper presents details on a facial detection and recognition algorithms and their implementation on Raspberry Pi device. The algorithms performed by Open CV library functions were modified for effective operation on the mentioned platform to use it as an embedded surveillance system. To achieve greater accuracy and efficiency, Open CV libraries with C++, Python computer languages were used. Training and identification were performed on an integrated device - Raspberry Pi3 B. We have created an advanced surveillance camera capable of detecting faces and, at the same time, recognizing the detected face. Face detection and facial recognition were performed with the Open CV library. All the processing was carried out on Raspbian OS on Raspberry Pi 3 B device. To capture pictures, we use camera module. This ability of facial recognition can help us to improve security systems. Keywords:Face recognition, Face detection, Raspberry Pi 3 B, Open CV, Video surveillance