A Scalable Embedded Surveillance System for Real-Time Video Streaming and Location Tracking Using IoT Technologies

Authors

  • K. Vijaya Bhaskar Reddy Author
  • Kemidi Manish Author
  • Sahu Amritha kumari Author
  • Shamakuri Akhil Reddy Author
  • K . Greeshma Author

DOI:

https://doi.org/10.64751/ksrafp66

Keywords:

ESP-32, ESP-CAM, live streaming, GPS tracking, fire sensor, gas sensor, metal detector, IoT surveillance, autonomous robot, embedded systems, real-time monitoring, buzzer alert, LCD display, location tracking, hazard detection.

Abstract

The Intelli Spy Robot with Live Streaming and Location Surveillance is an advanced autonomous system designed to perform real-time environmental monitoring, hazard detection, and remote surveillance in areas that are inaccessible or dangerous for human personnel. The proposed system integrates an ESP-32 microcontroller with multiple sensing units including a fire sensor, gas sensor, and metal sensor, alongside an ESP-CAM module for high-definition live video streaming, and a GPS module for precise location tracking. The robot is powered by a dedicated rechargeable battery unit (RPS) ensuring uninterrupted field operation. Upon detection of hazardous conditions such as fire outbreaks, toxic gas leakage, or concealed metallic objects, the system instantly triggers audio alerts via a buzzer and displays critical data on an onboard LCD screen. All processed information is simultaneously transmitted to a centralized IoT platform, enabling remote operators to monitor, analyze, and respond to threats in real time from any geographic location. The system eliminates human risk in hostile environments by providing continuous, automated, and intelligent surveillance. It is designed to be deployable in military zones, disaster-affected areas, industrial sites, and border patrol regions. The integration of robotics, embedded intelligence, and cloud connectivity makes this system a comprehensive solution for modern surveillance challenges. This project represents a significant step forward in combining embedded systems, computer vision, wireless communication, and sensor fusion for autonomous field operations.

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Published

2026-04-23

How to Cite

A Scalable Embedded Surveillance System for Real-Time Video Streaming and Location Tracking Using IoT Technologies. (2026). International Journal of AI Electronics and Nexus Energy, 2(2), 524-531. https://doi.org/10.64751/ksrafp66

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