During food production, the appearance of processed food can vary at times, and individual products are often randomly scattered on the conveyor belt. Traditional food inspection is carried out manually and despite the large manpower involved, the process has never been fully efficient. Excessive manpower on the production line can also cause sanitation issues. Food brands looking to maximize throughput require a smarter solution that can monitor product quality and detect anomalies. 

Solomon’s visual inspection solution, Solvision, uses AI to learn the various types of defects and recognizes them as they pass through fast-moving conveyor systems. Manual inspection can be replaced by real-time AI imaging and analysis to identify defective products, without requiring extensive training.