IoT-Based Smart Home Surveillance System

Abstract

Most surveillance system prototypes that have been developed to date utilize sensors “for motion detection and require a memory card for storing data. The issues like—price associated with the cameras, flexibility, and user-friendliness need to be addressed for a surveillance system. This paper aims to develop an affordable surveillance system and doesn t need external memory devices by deploying cloud storage. It uses computer vision for motion detection, which allows for facial recognition based on preloaded data. The final model incorporating all these features has been developed successfully and verified through multiple testing processes.”