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ENHANCING COVERT INTRUDER DETECTION IN SMART HOMES: AN OPTIMIZED LOW-POWER ESP32-CAM PIR SYSTEM

Olufemi, T. O. (Ph.D), Babalola A.D

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Abstract

The current home security systems in Nigeria are frequently insufficient and susceptible to being bypassed by criminals, leading to a decline in individuals' perception of safety. This work aims to tackle this urgent matter by creating a home security system that utilizes a microcontroller and incorporates image capturing functionality using an ESP32-CAM module and passive infrared (PIR) sensors. The system identifies trespassers using passive infrared (PIR) sensors, takes their photographs using the camera, and saves the images on an SD card and web server for evidential purposes and remote surveillance. The system's performance and functionality were validated by comprehensive testing, which involved software simulations, hardware simulations, and post-implementation assessments. The proposed approach provides a cost-effective and reliable alternative to traditional manual surveillance, minimizing the likelihood of human errors and providing real-time monitoring with visual evidence to aid law enforcement. While the system shows promising results, further research is recommended to integrate cloud computing, machine learning, advanced computer vision algorithms for facial recognition and behavior analysis, and smart home technologies to provide a comprehensive and intelligent security solution. In order to enhance the system's ability to withstand challenges and be effectively used in practical situations, it is advisable to enhance energy efficiency, enhance user experience, and do thorough testing of scalability and dependability in many circumstances.

Keywords: Home security, Microcontroller, Image capturing, Intruder detection,ESP32-CAM,  Passive infrared sensors