This study evaluates the performance of YOLOv7, an advanced object detection model, in identifying kitchen safety risks related to knife handling, specifically improper finger placement and blade contact with the hand. The findings highlight YOLOv7's strong potential for accurately detecting these hazards to improve kitchen safety.