IRO Journals
Journal of ISMAC

IoT-Based ESP32-CAM Surveillance Robot for Wireless Real-Time Video Monitoring and Control

Open Access
Published: 13 May, 2026
Pages: 160-169
  • Rajaiah A. , Rajaiah A.
    Department of Electronics and Communication Engineering, Joginpally B R Engineering College, Hyderabad, India
    Department of Electronics and Communication Engineering, Joginpally B R Engineering College, Hyderabad, India
  • Govindu M. , Govindu M.
    Department of Electronics and Communication Engineering, Joginpally B R Engineering College, Hyderabad, India
    Department of Electronics and Communication Engineering, Joginpally B R Engineering College, Hyderabad, India
  • Shirisha N. , Shirisha N.
    Department of Electronics and Communication Engineering, Joginpally B R Engineering College, Hyderabad, India
    Department of Electronics and Communication Engineering, Joginpally B R Engineering College, Hyderabad, India
  • Abdul Raheem B. Abdul Raheem B.
    Department of Electronics and Communication Engineering, Joginpally B R Engineering College, Hyderabad, India
    Department of Electronics and Communication Engineering, Joginpally B R Engineering College, Hyderabad, India
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How to Cite

A., Rajaiah, Govindu M., Shirisha N., and Abdul Raheem B. 2026. “IoT-Based ESP32-CAM Surveillance Robot for Wireless Real-Time Video Monitoring and Control”. Journal of ISMAC 8 (2): 160-69. https://doi.org/10.36548/jismac.2026.2.004.
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Keywords

ESP32-CAM Module
Surveillance Robot
Internet of Things (IoT)
Wireless Communication Control
Real-Time Video Streaming
Embedded Systems Design

Abstract

This research discusses the designing and implementation of an IoT-based ESP32-CAM surveillance robot which offers real-time video monitoring and remote robot navigation capabilities wirelessly. The design utilizes ESP32-CAM module, L298N motor driver, DC motors, and WiFi connectivity which enables the robot to stream live videos and be remotely navigated via a browser using a mobile device. The ESP32-CAM module serves as both processor and image capture component which ensures live video streaming and WiFi connectivity. Robot movement control is achieved using PWM motor control which allows the robot to move forwards, backwards, left, and right smoothly. In addition, IR LEDs are installed to improve performance during low-light surveillance. WebSocket communication protocol is also used to reduce delay times during communications. The experimental findings show that there is stable video transmission, reliable wireless connectivity, effective navigation control, and monitoring capacity in low light conditions. The system that has been designed serves as an economical, compact and efficient surveillance system.

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