Automated Defect Detection and Sorting System...

Automated Defect Detection and Sorting System for Pharmaceutical Tablets Using Image Processing

Author Name : Shubhangi Handore, Sumit Patil, Rohit Kale, Ritesh Pokale

This proposed system presents the design and implementation of an automated defect detection and sorting system for pharmaceutical tablets using image processing. The primary goal is to ensure high-quality standards in pharmaceutical production by identifying defective tablets, such as those with cracks or discoloration, and sorting them accordingly. The system uses a high-resolution camera for image capture, edge detection algorithms for defect identification, and a microcontroller-based sorting mechanism for real-time classification of tablets. The automation process reduces human error, improves production efficiency, and ensures patient safety by preventing defective tablets from being packaged. This system can be adapted to other industries where defect detection is essential, such as electronics.