Sanlian Traffic has built upon the foundational elements of the motor vehicle examination evaluation system, applying innovative advancements to develop a new generation of motorcycle examination evaluation systems. This system extracts video data of the driver and vehicle using on-site cameras and employs deep learning neural networks alongside computer vision algorithms for action detection and vehicle status monitoring. By integrating on-board sensors, the system facilitates electronic evaluations during the motorcycle Subject 2 and Subject 3 examinations, enhancing objectivity and precision while reducing labor costs.
