Image -Processing Controlled Robot
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Date
2025
Authors
Jad Kawa
Arqam Mousa
Journal Title
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Volume Title
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Abstract
Modern automation relies heavily on the integration of perception, communication, and actuation to
perform tasks that traditionally require human intervention. This project introduces Image-Processing
Controlled Robot, an autonomous robotic system designed for intelligent object detection, classification, and
sorting. The system separates vision from actuation: an external camera performs real-time image processing
to identify objects such as balls and trash, then transmits commands directly via Bluetooth to the robot’s
HC-05 module equipped with a robotic arm. Based on the received instructions, the robot navigates toward
the detected object, picks it up, and sorts it into the appropriate bin.
The robotic car and arm assembly are both controlled by an Arduino Mega, with an HC-05 Bluetooth module
handling wireless communication. Users can operate the robot manually through a dedicated mobile
application, or allow the external camera to guide it autonomously. However, the camera-guided mode and
mobile-app control cannot function simultaneously, ensuring that only one controller manages the robot at a
time. This dual-mode design highlights the flexibility of the system, demonstrating both manual and automated
capabilities.
Key hardware elements include the robotic arm for manipulation, the mobile car platform for navigation, and
the external camera for vision processing. Software components manage wireless communication, object
classification, and control logic for actuation. While the prototype faced constraints such as limited Bluetooth
range, low-quality camera performance, and reduced battery runtime, it successfully demonstrated the
feasibility of low-cost object detection and sorting using a modular, distributed system.
This project underscores the potential of combining image processing, wireless communication, and robotic
actuation to solve real-world automation challenges. Future improvements include integrating higher-resolution
cameras, shifting processing onto the robot itself, and adopting more advanced wireless protocols to enhance
autonomy and scalability.