OBJECT DETECTION AND SORTING USING ROBOTIC ARM

  • Unique Paper ID: 178623
  • Volume: 11
  • Issue: 12
  • PageNo: 4155-4158
  • Abstract:
  • This project presents the development of a cost effective robotic arm system capable of object sorting based on visual input, utilizing an Arduino Uno microcontroller, four servo motors, and a standard laptop camera. The system integrates computer vision techniques to identify and classify objects presented within the camera's field of view. A Python-based application processes the live video feed, employing image processing algorithms to detect object features, such as color and shape. Upon successful identification, the application determines the appropriate sorting destination for each object and transmits control signals to the Arduino Uno. The Arduino, in turn, orchestrates the precise movement of the four servo motors, which constitute the robotic arm's joints. The arm's end effector, controlled by a dedicated servo, grasps and releases the objects, facilitating their placement into designated sorting bins. The implementation focuses on achieving a balance between accuracy, speed, and affordability, leveraging open-source libraries and readily available hardware. The system's performance is evaluated based on its object recognition rate, sorting accuracy, and operational speed. The project demonstrates the feasibility of utilizing computer vision and low- cost microcontrollers for automated object sorting, offering potential applications in various domains, including manufacturing, logistics, and educational settings. This design allows us for future enhancements, such as incorporating additional sensors or expanding the object recognition capabilities to handle more complex scenarios.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article 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.

BibTeX

@article{178623,
        author = {Dr. SUKANYA K and CH.Venkata Naga Sri Veni and A.Tejaswini and A.Durga Prasad},
        title = {OBJECT DETECTION AND  SORTING USING ROBOTIC ARM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4155-4158},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178623},
        abstract = {This project presents the development of a cost effective robotic arm system capable of object sorting based on visual input, utilizing an Arduino Uno microcontroller, four servo motors, and a standard laptop camera. The system integrates computer vision techniques to identify and classify objects presented within the camera's field of view. A Python-based application processes the live video feed, employing image processing algorithms to detect object features, such as color and shape. Upon successful identification, the application determines the appropriate sorting destination for each object and transmits control signals to the Arduino Uno. The Arduino, in turn, orchestrates the precise movement of the four servo motors, which constitute the robotic arm's joints. The arm's end effector, controlled by a dedicated servo, grasps and releases the objects, facilitating their placement into designated sorting bins. The implementation focuses on achieving a balance between accuracy, speed, and affordability, leveraging open-source libraries and readily available hardware. The system's performance is evaluated based on its object recognition rate, sorting accuracy, and operational speed. The project demonstrates the feasibility of utilizing computer vision and low- cost microcontrollers for automated object sorting, offering potential applications in various domains, including manufacturing, logistics, and educational settings. This design allows us for future enhancements, such as incorporating additional sensors or expanding the object recognition capabilities to handle more complex scenarios.},
        keywords = {Arduino UNO, Servo Motors, Jumper Wires, Powering Servo Motors.},
        month = {May},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 4155-4158

OBJECT DETECTION AND SORTING USING ROBOTIC ARM

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