Vision-based approach for human motion detection and smart appliance control

Siddharth Swami, Rajesh Singh, Anita Gehlot, Mohammed Ismail Iqbal, Sameer Dev Sharma, Dharmendra Kumar, Sanjeev Kumar Shah

Abstract


This study focuses on the use of computer vision technology and motion detection sensors to create an intelligent system that recognizes human presence in monitored spaces. The system uses a relay module for automation and control of household appliances while sensing motion detection, operated by an ESP32 microcontroller. This innovative solution addresses two major issues in home automation: reliable human presence recognition and seamless appliance control. The research merges a camera-based vision system with motion sensors, comparing motion and vision-based identification. The ESP32 microcontroller improves motion detection precision and context awareness by integrating motion sensors and computer vision technologies. The integration of a camera module allows real-time analysis and recognition of human presence, reducing false alarms. The relay module also enables automated control of home appliances, synchronizing and feedbacking operations with sensed human presence. The dynamic adaptation of the system improves user convenience and energy efficiency.

Keywords


Automatic detection; Camera module; Human motion; Smart appliance; Vision based sensing

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DOI: http://doi.org/10.11591/ijra.v13i4.pp445-451

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IAES International Journal of Robotics and Automation (IJRA)
ISSN 2089-4856, e-ISSN 2722-2586
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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