Introducing 『 Intelligent Police Motorcycle Investigation System 』Multi-functions Application<br/>
            In order to make the police detection and defense perform work more flexible and proactive in combating crime in the development of smart city, the introduction of AI technology is expected to achieve multiple goals such as technological investigation, intelligent detection and defense, combining investigation and crime-fighting. For many existing models of (fuel) police motorcycles, electric motorcycles can be developed into a multi-functional intelligent detection platform.<br/>
            1. Introducing Moving ANPR System: Moving ANPR software can be installed on this platform to recognition license plates of moving vehicles or vehicles parked on the roadside especially in narrow alleys, and to identify license plates of stolen vehicles or criminal vehicles in real time, pursue specific person tracing from license plate of vehicle. <br/>
            2. Introducing Cloud Server Database Management & Big Data Analysis: Combined with cloud vehicle database information, manual and automatic database updates are performed on the AI computer of vehicle carrier. And against uplink target data perform positioning tracing through GPS and analysis by Cloud Server.<br/>
            

『AI Motorcycle』 Introducing Intelligent Police Motorcycle Investigation System 

Two sets of cameras are installed on the left and right side of the AI motorcycle, which can detect the roadside parking vehicles while driving. The left camera set would capture images of the left side vehicles and the right camera set would capture images of the right side vehicles; The left and right cameras would then send the images to the AI computer on the motorcycle for real-time license plate capture and recognition; The left and right handles of the motorcycle are equipped with switches to control the switching of the left and right cameras and turning them on or off (and also control the execution of the recognition software); The recognition results and the location information would be sent to a cloud server for the billing process via 4G/5G communication.
            