Intruder Insinuation and Smart Surveillance Using Face Detection and Mask Detection

Abstract

A surveillance system uses Raspberry Pi, PIR sensor and mobile devices to provide security at nighttimes against any intrusion and theft in shop** malls, jewelry shops and other places which holds valuable items. The main objective of the proposed system is to provide security to shops in the closed times. The proposed system uses Haar cascade algorithm for face detection to detect the unknown faces and own object detection method to detect masked faces. The proposed system comprises PIR sensor, GSM equipment and any type of good-quality camera. GSM system will send alert messages to the owner and nearby police station when there is any intrusion detected. The PIR sensor and camera, all of the equipment are controlled by the Raspberry Pi system. The camera captures the image, whenever any motion is detected through remote sensing by PIR sensor. When any human face is detected through the captured image, the camera will stay turned on; otherwise, it will go to standby mode. If any unknown and unauthorized face is detected from the image, camera will continuously capture images. Finally, if the system has detected only unknown faces, then the owner, security and nearby police station will receive the alert messages.