Developed a loss prevention system using YOLO and custom classifiers to detect suspicious behavior and unscanned items at self-checkout stations, reducing shrinkage by 35%.
Major retail chain experienced significant losses from theft at self-checkout stations, requiring real-time detection without disrupting customer experience.
Implemented YOLO-based computer vision system to detect suspicious behaviors and unscanned items, alerting staff within 2 seconds for intervention.
Reduced retail shrinkage by 35% across 500+ store locations while maintaining positive customer experience scores.