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Autonomous AI Surveillance Rover Using ESP32-CAM
Subject area: Science,Engineering and Technology · Area of research: Embedded Systems, IoT, Robotics
DOI: https://doi.org/10.64388/IREV9I10-1716989
Abstract
The Autonomous AI Surveillance Rover using ESP32 is designed to provide smart and efficient real-time monitoring for security applications. The system integrates an ESP32 microcontroller with sensors and a camera module to perform autonomous navigation and live data transmission. It uses basic artificial intelligence techniques for motion detection and obstacle avoidance, enabling the rover to operate without constant human control. The rover can be remotely accessed through a web interface using Wi-Fi connectivity. This system reduces human effort and enhances surveillance efficiency in areas such as homes, industries, and restricted zones.
Keywords
ESP32-CAM, IoT, Real-time Monitoring, Embedded Systems, Object Detection, Computer Vision
How to cite this paper
@article{1716989,
author = {Shri Prakash Baitha, Shivpujan Kumar, Ujjwal Prakash, Raja Gupta, M. S. Indira},
title = {Autonomous AI Surveillance Rover Using ESP32-CAM},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {2700-2706},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716989.pdf},
abstract = {The Autonomous AI Surveillance Rover using ESP32 is designed to provide smart and efficient real-time monitoring for security applications. The system integrates an ESP32 microcontroller with sensors and a camera module to perform autonomous navigation and live data transmission. It uses basic artificial intelligence techniques for motion detection and obstacle avoidance, enabling the rover to operate without constant human control. The rover can be remotely accessed through a web interface using Wi-Fi connectivity. This system reduces human effort and enhances surveillance efficiency in areas such as homes, industries, and restricted zones.},
keywords = {ESP32-CAM, IoT, Real-time Monitoring, Embedded Systems, Object Detection, Computer Vision},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716989}
}