Robotic Arm Using Color Sorting Algorithm

Year : 2025 | Volume : 12 | Issue : 02 | Page : 8 16
    By

    K.P. Jadhav,

  • Deokar Aditya,

  • Dushing Sushant,

  • Gaikwad Om,

  • Garbhe Prathamesh,

  1. Dean Academics, Department of Computer Technology, Sanjivani K.B.P. Polytechnic, Kopargaon, Maharashtra, India
  2. Research Scholar, Department of Computer Technology, Sanjivani K.B.P. Polytechnic, Kopargaon, Maharashtra, India
  3. Research Scholar, Department of Computer Technology, Sanjivani K.B.P. Polytechnic, Kopargaon, Maharashtra, India
  4. Research Scholar, Department of Computer Technology, Sanjivani K.B.P. Polytechnic, Kopargaon, Maharashtra, India
  5. Research Scholar, Department of Computer Technology, Sanjivani K.B.P. Polytechnic, Kopargaon, Maharashtra, India

Abstract

*Author for Correspondence

Deokar Aditya

E-mail: [email protected]

1Dean Academics, Department of Computer Technology, Sanjivani K.B.P. Polytechnic, Kopargaon, Maharashtra, India

2Research Scholar, Department of Computer Technology, Sanjivani K. B. P. Polytechnic, Kopargaon, Maharashtra, India

Received Date: April 03, 2025

Accepted Date: April 22, 2025

Published Date: May 09, 2025

Citation: K.P. Jadhav, Deokar Aditya, Dushing Sushant, Gaikwad Om, Garbhe Prathamesh. Robotic Arm Using Color Sorting Algorithm. Journal of Mechatronics and Automation. 2025; 12(2): 8–16p.

Industrial and commercial applications form part of the fundamental areas where automation together with robotics technologies have produced significant improvements in efficiency and accuracy as well as productivity. Modern industries require automated sorting systems to function efficiently because manufacturing waste management and material handling operations need both high accuracy and fast operation speed. The project describes the creation and application of an automated color-sorting robotic arm alongside its functionality to sort objects using their color characteristics into targeted storage containers. The system uses C++ programming language to operate with an ATmega328P microcontroller (Arduino) function as its main processing component. The robotic arm uses TCS3200 color sensors and servo motors to perform its movement-based sorting operations and detect object colors. The robotic arm system features an Input Layer that contains color detection functionality through TCS3200 color sensors together with an Arduino microcontroller running the Control Layer while the Output Layer performs the task of arranging objects through servo motors alongside LED indicator functionality. A PCB-based power distribution unit supports the system through stable power distribution. Experimental testing of the robotic arm produced results showing more than 95% accuracy when sorting primary colors thus establishing its effectiveness for real-time industrial deployment. The self-operating system decreases human work while reducing mistakes and it creates improved productivity and serves as an effective tool for automatic industrial sorting applications in industries that include waste separation and manufacturing and packaging operations. This robotic arm outperforms traditional sorting systems through features such as cost-effectiveness and scalability and energy efficiency as well as requirements for little maintenance and flexibility through its modular construction which facilitates modifications. The system benefits from C++ programming by allowing live system alterations which improve the algorithms and enhance flexibility. The lightweight along with compact PCB design reduces power usage while guaranteeing continuous operation. The system offers flexible industrial application because engineers can enhance computer vision-based sorting using AI and machine learning algorithms to improve classification operations.

Keywords: Robotic arm, color sorting, ATmega328P, servo motor, embedded systems, object sorting, automation, C++ programming, PCB circuit

[This article belongs to Journal of Mechatronics and Automation ]

How to cite this article:
K.P. Jadhav, Deokar Aditya, Dushing Sushant, Gaikwad Om, Garbhe Prathamesh. Robotic Arm Using Color Sorting Algorithm. Journal of Mechatronics and Automation. 2025; 12(02):8-16.
How to cite this URL:
K.P. Jadhav, Deokar Aditya, Dushing Sushant, Gaikwad Om, Garbhe Prathamesh. Robotic Arm Using Color Sorting Algorithm. Journal of Mechatronics and Automation. 2025; 12(02):8-16. Available from: https://journals.stmjournals.com/joma/article=2025/view=227532


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Regular Issue Subscription Original Research
Volume 12
Issue 02
Received 03/04/2025
Accepted 22/04/2025
Published 09/05/2025
Publication Time 36 Days
141

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