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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM35794
Volume:
8 |
6 |
Jun 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The detection of metallic objects is crucial in applications ranging from security inspections and industrial automation to archaeological explorations. Traditional handheld metal detectors, while effective, lack automation, mobility, and remote operability. This paper presents the design and implementation of a low-cost, Arduino-based mobile robotic system that integrates metal detection with Bluetooth-enabled wireless control. The core of the system is the Arduino Uno R3 microcontroller, which coordinates inputs from a non-contact metal detector module and controls outputs to a buzzer for alerts and an L298N motor driver to maneuver two DC motors. The HC-05 Bluetooth module facilitates communication with a Smartphone, allowing users to navigate the robot remotely using simple commands. When a metallic object is detected within a short range (approximately 10 mm), the metal sensor triggers an audible beep, alerting the user in real time. The robotic platform is powered by a compact battery pack, ensuring portability and ease of deployment in various terrains. The proposed system demonstrates reliability, modularity, and cost-efficiency, making it ideal for small-scale applications such as school and college-level robotics projects, initial-stage security systems, localized industrial monitoring, and hobbyist innovations. Moreover, the architecture supports future enhancements, including the addition of graphical user interfaces (GUIs), GPS for location tagging, obstacle avoidance systems, and high-sensitivity sensors for deeper or more precise detection. Through this project, we establish a foundation for developing intelligent, remotely-operated metal detection systems that are both accessible and scalable.
KEYWORDS
Publication Date
6/25/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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