Authors : Prod. S. S. Dhumal; Sakshi Gadewar; Abhishek Jori; Lalit Sarode; Gajendrasinh Salunkhe

Volume/Issue : Volume 9 - 2024, Issue 11 - November

Google Scholar : https://tinyurl.com/4sp5mx5v

Scribd : https://tinyurl.com/5n728p7d

DOI : https://doi.org/10.5281/zenodo.14281217

Abstract : The Automatic Rejection System is a quality control solution using machine vision system and machine learning algorithms to inspect products on a production line and reject defective or non-confirming items. The system includes a camera or imaging device, processing unit, and a rejection mechanism. It captures product images and analyzes them to defects, which are then automatically removed by rejection mechanism. The system can be tailored for various products and integrated with other quality control technologies, improving product quality, reducing waste and enhancing production efficiency across industries such as food processing, pharmaceuticals and manufacturing. The paper presents the development of an automatic rejection system designed for the medicine packaging industry. Utilizing OpenCV and image processing techniques, the system inspects tablets for defects and uses a rejection mechanism to remove non- confirming products. The proposed solution aim to enhance the quality control process by automating tablet detection and rejection. The system is composed of a camera module (ESP- 32), OpenCV for defect identification and an actuator for rejecting faulty tablets. The implementation improves accuracy and efficiency in the packaging process , ensuring high product standards.

Keywords : Machine Vision , OpenCV , Tablet Detection , Medicine Packaging , Automation, Quality Control.

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