Research and Application of Quantitative Evaluation Indicators for Intelligent Audit System of Motor Vehicle Safety Technology Inspection
In recent years,with the continuous development of artificial intelligence technologies such as AI,various regions gradually use intelligent inspection and review systems for motor vehicle safety technology inspection(hereinafter referred to as"intelligent review system for inspection")to assist manual image review,in order to improve the law enforcement credibility and review efficiency of public security traffic management departments.The current intelligent review systems for inspection vary in audit content,accuracy,efficiency,and lack unified evaluation indicators.This paper takes the intelligent review system for inspection as the object,and puts forward three evaluation indicators from two dimensions of function and performance efficiency,which are audit capability,audit accuracy rate,and audit efficiency.The experimental results show that the evaluation indicators proposed in this paper have strong scalability,usability,and operability.
intelligent review system for inspectionaudit capabilityaudit accuracy rateaudit efficiency
万方数据
维普
