Explore an automated dried shrimp sorting application from A.I. TECHNOLOGY. The system applies AI Vision and Machine Learning to inspect and classify dried shrimp that do not meet defined quality criteria, also referred to as NG (Not Good). Image analysis works with an automatic rejection mechanism to separate non-conforming products from the production flow. This approach helps reduce manual visual inspection tasks and supports a more systematic quality inspection process. Implementation should begin with clear acceptance and rejection criteria, representative product images, and testing under actual lighting conditions and conveyor speeds.
Interested in automated food inspection and sorting? Consult the A.I. TECHNOLOGY team to explore a solution suited to your products and production line.