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@article{203317,
        author = {Gaurangi Patil and Anuja Gawade and Nikita Mali},
        title = {Object Segregation System on Conveyor Belt using Shape Based Image Processing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {10745-10751},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=203317},
        abstract = {This paper presents the design and implementation of an automated object segregation system for industrial applications. The system identifies, analyzes, and separates objects moving on a conveyor belt using shape-based image processing and weight detection techniques. A camera captures images of objects, and image processing algorithms are used to detect and classify objects based on their shapes such as circular, rectangular, or triangular. Simultaneously, a load cell sensor measures the weight of each object. Based on both shape and weight parameters, the system automatically segregates objects into different categories using a servo motor mechanism controlled by Arduino and ESP32-CAM. The proposed system improves accuracy, reduces manual effort, increases efficiency, and provides a cost-effective solution for industrial automation and smart manufacturing applications.},
        keywords = {},
        month = {May},
        }