Gesture Controlled Metal Detector Car Using Arduino

Abstract

This paper presents the design and implementation of a Gesture Controlled Metal Detector Car Using Arduino, which is an intuitive and natural solution for controlling a robot car\'s movement using hand gestures. The system combines multiple components, including an ultrasonic detector, Bluetooth module, flex sensor, accelerometer, metal detector, and Arduino board, to recognize hand movements and control the robot car wirelessly. Additionally, the system integrates a metal detection process using a metal detector device to identify landmines in high-tension areas, enhancing security for defense systems. The metal detector is mounted on the robot car and continuously scans the ground while the car moves, providing real-time alerts when metallic objects are detected. This crucial functionality aids in landmine detection, making the system practical for defense and security applications. The motion control system uses a flex sensor to track finger movement and an accelerometer to measure hand motion. The Arduino board processes the data from these sensors and sends appropriate commands to control the robot car\'s motors via Bluetooth. Experimental results confirm that the system effectively responds to hand gestures and accurately detects metallic objects, demonstrating its viability in real-world applications. This study contributes to the field of human-robot interaction by offering a hands-free, user-friendly, and wireless system for controlling robotic systems. The system\'s advantages include ease of use, hands-free control, wireless communication, and enhanced security through metal detection. However, it also presents limitations such as a limited range of motion and gesture recognition capabilities. Despite these challenges, this design opens the door for further exploration and improvement in gesture-based control technologies, particularly in areas such as education, accessibility for individuals with disabilities, entertainment, and defense applications.

Introduction

The paper presents the design and implementation of a Hand Gesture Controlled Robot Car equipped with metal detection capabilities, utilizing Arduino and various sensors. The system enables intuitive control of the robot car via hand gestures or a mobile app, enhancing flexibility and usability. Key components include ultrasonic sensors for obstacle avoidance, Bluetooth and RF modules for wireless communication, flex sensors and accelerometers for gesture recognition, and a metal detector for identifying landmines and metallic hazards.

Upon detecting metal, the system triggers a buzzer alert, flashes an LED three times, and automatically moves the robot backward to prevent accidents. The project focuses on improving human-robot interaction, especially for defense applications, by combining gesture control with metal detection for safer navigation in hazardous environments.

Experimental results confirm the system’s effectiveness in gesture-based movement control, accurate metal detection, and reliable safety responses. The research contributes to advancing natural and intuitive control methods for robotic vehicles while integrating critical safety features.

Conclusion

In summary, the Hand Gesture Controlled Robot Car with Metal Detection Using Arduino and Sensors offers an innovative and versatile approach to controlling a robot car’s movement. The system is designed to be user-friendly and highly adaptable, utilizing both gesture-based control and a mobile application. This dual-control mechanism allows users to operate the robot car either through hand gestures or a virtual joystick on the app, enhancing flexibility and usability. The integration of a metal detection system significantly extends the application\'s practicality, particularly in defense and security operations where landmine detection is crucial. The system\'s safety features, including a buzzer alert, backward movement upon metal detection, and LED light indication, provide real-time notifications and mitigate risks associated with landmine exposure. The wireless communication enabled by the Bluetooth module ensures smooth interaction between the controller and the robot car, while the combination of sensors—such as the ultrasonic detector, accelerometer, and flex sensor—ensures precise gesture recognition and obstacle avoidance. Despite some limitations, such as the restricted range of movement and limited gesture recognition capabilities, the system demonstrates great potential for real-world applications. Future studies could focus on improving the range, expanding gesture options, and enhancing metal detection sensitivity. Overall, this project contributes significantly to the field of human-robot interaction by offering a robust, intuitive, and multi-functional control system suitable for a wide range of applications, including security, defense, education, and entertainment.

References

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Copyright

Copyright © 2025 Sannidhya Singh Kushwaha, Deepesh Dewangan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.