Abstract: A reward system and method collects feedback based on driving records and road conditions. A camera disposed on a vehicle can generate traffic-condition data, and the neural network based artificial intelligence is used to identify a traffic flow and a road-sign area in the traffic-condition data. When the road-sign area is identified, the optical character recognition is performed on the road-sign area to generate a geographic location information. The user information, the traffic flow and the geographic location information are embedded into the corresponding traffic-condition data. The traffic-condition data is transmitted to a map-data host for classification and storage.

Abstract: A controlling and warning system based on traffic conditions feedback and a method thereof are disclosed. In the controlling and warning system, a camera disposed on a rear of a vehicle body is configured to generate and transmit a rear video to a controlling host, and the controlling host identifies a vehicle object in the rear video and calculates a separation distance between the vehicle object and the vehicle body; the vehicle object is inputted into a large-sized vehicle recognition model which is built based on artificial intelligence neural network and trained completely, to recognize whether the vehicle object is a large-sized vehicle; when the vehicle object is recognized as the large-sized vehicle and the separation distance reaches to a safe distance, a warning signal is generated. Therefore, the technical effect of improving the warning immediacy of an approaching large vehicle can be achieved.