FEILD SURVEILLANCE SPY ROBOT
The main goal of this project is to design and develop a surveillance robot that can reduce casualties in the war field.The robot movement can be controlled by the user by using android smart phone.This robot consists of an esp32 camera which can be used to send the live video to the user mobile over IOT.While watching the video user can control the robot from web browser.This project comprises of three phases: controlling the Robot in manual mode using IoT technology, ultrasonic sensor-based obstacle detection and Metal detection using metal sensor.The robot can perform multiple applications such as if any bombs are placed at public places.This robot acts as a bomb detector using the metal detector sensor and alerts though buzzer.The robot can detect the obstacles and stop the robot automatically.The main controlling device of the project is Arduino UNO microcontroller.To achieve this task microcontroller loaded program written in embedded C language.Surveillance and security have become critical aspects of modern society, requiring solutions that are both efficient and capable of operating in diverse and challenging environments.This project presents the design and implementation of a Field Surveillance Spy Robot, a compact, remotely controlled, and camera-equipped robotic platform developed for real-time monitoring and reconnaissance purposes.The robot utilizes an ESP32-CAM module as its core processing and vision system, enabling wireless live video streaming over a local network.Equipped with a camera capable of both day and night operation, the system provides continuous visual feedback to the operator, reducing the need for direct human presence in potentially hazardous or restricted areas.The robotic platform is driven by a set of DC motors controlled through a microcontrollerbased interface, allowing precise manoeuvrability across various terrains.
Publication Details
- Journal
- International Research Journal of Modernization in Engineering Technology and Science
- Published
- 2025-09-20
- DOI
- https://doi.org/10.56726/irjmets82877
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00