IAES International Journal of Robotics and Automation (IJRA)
Vol 13, No 4: December 2024

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

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



Article Info

Publish Date
01 Dec 2024

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.

Copyrights © 2024






Journal Info

Abbrev

IJRA

Publisher

Subject

Automotive Engineering Electrical & Electronics Engineering

Description

Robots are becoming part of people's everyday social lives and will increasingly become so. In future years, robots may become caretaker assistants for the elderly, or academic tutors for our children, or medical assistants, day care assistants, or psychological counselors. Robots may become our ...