The solution will be a functional “whistle-blower” system that leverages AI and vision/optical solution to detect anomalies at surgical instruments. We aim to detect and stop invalid surgical instruments before reaching operation rooms and patients. All in all, we want to develop a solution that help minimize human errors and assist hospitals with precise patient safety and quality control.