This project involves the design and development of a landmine detection robot that utilizes an ESP32 microcontroller, ultrasonic sensors, a GPS module, GSM for communication, and a metal detection coil. The robot operates autonomously or can be controlled remotely via an app. It detects landmines, logs their locations using GPS, and sends alerts via SMS to a designated operator.
The primary objective of this project is to design a robot capable of autonomously detecting landmines in a field, determining their location using GPS, and alerting the operator through GSM messages. The system integrates multiple sensors and motor drivers, all controlled by the ESP32 microcontroller.
A unique feature of this project is the inclusion of a mobile app that allows operators to control the robot’s movement. The robot can operate in two modes:
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Autonomous Mode: The robot navigates the environment using ultrasonic sensors to avoid obstacles and automatically detect metal objects, potentially landmines.
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Manual Mode: The operator can take full control of the robot’s movement via a mobile app, which communicates with the robot through the internet. The app uses the Blynk platform to manage real-time communication between the robot and the operator, allowing manual control of the robot’s movement.
The system also includes an integrated GPS module to pinpoint the exact location of detected mines and send this information via GSM to the operator for further action.
- Autonomous Movement: Uses ultrasonic sensors for obstacle avoidance and autonomous navigation.
- Metal Detection: Detects landmines through a metal detection coil.
- GPS Integration: Logs the geographic coordinates of detected landmines for future retrieval.
- GSM Alerts: Sends location-based SMS alerts to the operator.
- Mobile App Control: The robot can be controlled via a mobile app, utilizing the Blynk platform for real-time communication and control in manual mode.
- Dual-Mode Operation: Toggle between Auto Mode (autonomous movement) and Manual Mode (app-based control).
The project is organized into several main directories, each serving a specific purpose:
Contains documentation, including component lists, proposals, diagrams, and reports.
PCB_Design/: Contains Gerber files and other PCB manufacturing files.Proposal/: Contains the project proposal.Component_List/: A list of the components used in the project.Diagrams/: Diagrams of the system architecture, wiring, and block diagrams.
Contains files related to the physical hardware components of the project.
3D_Models/: 3D models of the robot and associated parts.PCB_Design/: PCB designs, including versions for different components like Xplora_PCB.
Contains technical references, including datasheets and research papers.
Datasheets/: Datasheets for key components like ESP32, ultrasonic sensors, GPS, GSM, etc.
Contains the source code for the embedded system and mobile app (if applicable).
ESP32_Firmware/: The code that runs on the ESP32 microcontroller.App_Controller/: Code for the mobile app (if applicable).Python_Tools/: Additional Python utilities, such as data logging.
Contains unit and integration tests.
Unit_Tests/: Tests for individual modules and components.Integration_Tests/: Tests for the full system integration.
- Arduino IDE for compiling and uploading ESP32 firmware.
- Libraries for ESP32, GSM module, GPS, and ultrasonic sensors. You can install these through the Library Manager in Arduino IDE.
- 3D Modeling Software (if modifying 3D models).
- Altium or similar for working with the PCB files.
- Blynk App: Install the Blynk app on your mobile device from the Google Play Store or Apple App Store. You will need to set up a Blynk project for controlling the robot in manual mode.
This project is licensed under the MIT License - see the LICENSE.md file for details.