Visual quality analysis of using computer aided inspection technique

This paper describes an approach for the quality inspection of chocolate. In food industry the efficiency is very important to increase the productivity. Currently, food industry has a better improvement. Indirectly, high quality food product can be exported to other countries and generates a good income. Food grading by humans are inefficient, labor intensive and prone to errors. Automated grading system not only speeds up the time of the process but also minimize error. Therefore, there is a need for an efficient food grading method to be developed. In this study, we proposed and implement methodologies and algorithms that utilize digital image processing, and analysis to determine the grade of local products. The main contribution for this study is on a design and development of an efficient algorithm for detecting and sorting the food product at more than 80% accuracy in grading compared to human expert sorting.