Authors : Rageshri Bakare; Aditya Balure; Niramay Karanjkar; Sarthak Hingane; Yash Surve

Volume/Issue : Volume 11 - 2026, Issue 8 - August

Google Scholar : https://tinyurl.com/tb6jaeye

DOI : https://doi.org/10.38124/ijisrt/26aug285

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Automation plays an important role in improving efficiency, accuracy, and productivity in industrial applications. Manual object sorting is time-consuming and prone to errors, creating the need for automated solutions. This paper presents an automated object segregation system using colour image processing on a conveyor system. The system uses Raspberry Pi 4, TCS3200 colour sensor, IR sensors, conveyor mechanism, and a 6-axis robotic arm for object detection and sorting. The colour sensor detects object colour, while a webcam with OpenCV is used for shape identification. Based on the processed data, the robotic arm automatically segregates objects into designated bins. The developed system improves sorting accuracy, reduces manual effort, and provides a cost-effective solution for industrial automation applications.

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