| Issue |
E3S Web Conf.
Volume 616, 2025
2nd International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2025)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 10 | |
| Section | Green Computing | |
| DOI | https://doi.org/10.1051/e3sconf/202561602002 | |
| Published online | 24 February 2025 | |
Design And Development of Dimension Based Automatic Product Sorting System Using Image Processing Technology
1 Department of EIE, SRM Institute of Science and Technology, Kattankulathur, India
2 Department of Electronics and Communication Engineering, Guru Nanak Institutions Technical Campus, Khanapur, Ibrahimpatnam, Telangana, India
3 Department of Mechanical Engineering, CVR College of Engineering, Ibrahimpatnam, Telangana, India
4 Department of EIE, Vignan Institute of Technology and Science, Deshmukhi, Telangana, India
* Corresponding author: vimalaja@srmist.edu.in
This research presents a novel automated product sorting system tailored for industrial applications, utilizing image processing technology, pneumatic actuators, and a Raspberry Pi platform. In contrast to traditional sorting methods, this approach focuses on classifying products based on their dimensions specifically length and width into small and large categories. A high-resolution camera (12 MP) captures the product images, which are processed using advanced image processing algorithms, achieving dimension measurements with an accuracy of 0.1 cm for small products and 0.2 cm for large products. The integration of image processing with pneumatic mechanisms ensures precise and efficient sorting, overcoming the limitations of existing systems. The system’s performance is further optimized with a sorting time of approximately 1.5 seconds per product. This innovative solution provides a scalable and adaptable framework for industries requiring reliable, dimension-specific product classification, offering improvements in both operational efficiency and cost-effectiveness.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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