Leading Cooking Oil Manufacturer in Saudi Arabia Enhances Food Safety with AI-Powered Visual Inspection

AegisVision was deployed to automate the visual inspection process with custom AI models specifically trained for transparent liquid inspection.

Implementation Approach

Specialized Detection: The system was configured to detect foreign particles in cooking oil bottles on the production line at full production speed. Specialized lighting setups and camera angles were optimized for inspecting transparent liquids — a particularly challenging task for computer vision.

Intelligent Filtering: AegisVision's algorithms were trained to distinguish between acceptable natural oil characteristics (such as slight color variations) and genuine foreign contaminants, minimizing false positives while maintaining high detection sensitivity.

Production Integration: The system was integrated with the production line's reject mechanism, automatically diverting bottles that failed inspection for secondary review. Real-time dashboards provided production supervisors with visibility into quality trends.

Measurable Impact on Quality and Cost

AegisVision delivered measurable impact across detection accuracy, labor efficiency, and cost savings.

Improved Accuracy: Foreign particle detection rates improved by 15%, significantly minimizing the risk of contaminated products reaching consumers.

Labor Efficiency: Manual inspection labor was reduced by 60%, allowing staff to be redeployed to higher-value tasks in quality engineering and process optimization.

Cost Savings: Achieved an estimated annual cost savings of $200,000 through reduced labor costs and minimized product waste from improved first-pass accuracy.

Brand Protection: Strengthened brand reputation and consumer trust by ensuring product purity and safety across domestic and export markets.