The main goal of this project is to design and develop a surveillance robot that can reduce casualties in war-field operations. The robot movement can be controlled by the user using an Android smartphone. This robot consists of an ESP32-CAM module which is used to transmit live video to the user’s mobile phone through IoT technology. By viewing the live video stream, the user can control the robot through a web browser interface. This project comprises three phases: controlling the robot in manual mode using IoT technology, ultrasonic sensor-based obstacle detection, and metal detection using a metal detector sensor. The robot can perform multiple applications such as detecting bombs or metallic objects placed in public areas. When metal is detected, the robot alerts the user through a buzzer. The ultrasonic sensor helps in detecting obstacles and automatically stops the robot to avoid collisions. Additionally, the system is integrated with a solar panel charging circuit, which charges the rechargeable battery used to power the robot. The battery provides continuous power supply to the Arduino UNO microcontroller, ESP32-CAM, sensors, and DC motors, making the system energy-efficient and suitable for long-duration field operations. To achieve this task, the Arduino UNO microcontroller is programmed using Embedded C language.        

Objectives

• To design and develop a smart surveillance robot for security and military applications.
• To control the robot wirelessly using an Android mobile phone through IoT technology.
• To provide live video streaming using the ESP32-CAM module.
• To detect obstacles automatically using an ultrasonic sensor.
• To identify metal objects or bombs using a metal detector sensor.
• To generate an alert through a buzzer when metal is detected.
• To power the robot using a rechargeable battery with solar panel charging support.
• To reduce human risk and improve safety in dangerous areas.

        The major building blocks of the project are:  

• Solar.
• Charging circuit.
• Rechargeable Battery.
• ARDUINO Microcontroller.
• ESP32 camera module.
• Ultrasonic sensor.
• METAL DETECTION SENSOR.
• DC motors with L293d.
• ESP32 camera module.
• Buzzer.
• LED indications.

          Software’s used:

• Embedded C programming.
• Arduino IDE programmer for dumping code into Micro controller.
• Express SCH for Circuit design.
• IOT technology.

         

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