TrafficCerebellum-
Minor Traffic Violation Remind Education Platform
Product Introduction
The platform utilizes technologies such as computer image recognition, machine learning, and convolutional neural networks to extract and recognize features from the original image evidence captured by the front-end traffic violation evidence collection system, including vehicles, traffic lights, signs, and markings, forming structured data. According to the types of minor violations, the platform automatically identifies and judges common motor vehicle violations based on rules, conditions and logical relationships. It also automatically associates the owner's phone number and uses phone notifications to promptly remind the owner to correct the violations.The information that has been informed and corrected in time will no longer be included in the law enforcement evidence.For those who refuse to rectify after being informed, the platform will record the informing process and take off-site law enforcement measures against them. Thus it can standardize the management process of minor traffic violations and reduce the investment of human resources.
Functional Characteristics
Effect Display