Solution Overview

With advancements in artificial intelligence technology, the system integrates image recognition, visual analysis, and environmental perception capabilities. By installing rooftop intelligent environmental perception devices and AI computing units, it analyzes the candidate's head and body posture in real time, automatically captures environmental data around the test vehicle, and combines high-precision map positioning and sensor signals. This enables intelligent automated evaluation of 67 items related to traffic environment, driving behavior, and safety awareness. The automated evaluation rate has increased from 41% to 93%, significantly reducing the burden of manual evaluation while standardizing assessment criteria, ensuring fairness and impartiality in Subject 3 examinations.

Proctor Supervision Solution

To address supervision challenges for in-vehicle examiners, the system utilizes advanced deep learning technologies, including human posture recognition and intelligent voice perception, to monitor examiners throughout the entire process—before, during, and after tests. By collecting audio and video data of the examiner's performance, the system captures and alerts over 10 types of potential violations, such as gesture hints, voice reminders, or auxiliary operations. Additionally, it supports vehicle assignment management, identity verification, and blacklist management for examiners, enhancing the vehicle management office's closed-loop supervision capabilities and promoting a more professional, detailed, and standardized examiner team.

The system has already proctored over 400,000 kilometers of tests, automatically evaluating more than 100,000 candidates and managing in-vehicle examiners, with a total operation time exceeding 50,000 hours. It fully meets automated evaluation standards and effectively reduces the frequency of examiner-related issues.

Environmental Perception System

By equipping test vehicles with intelligent environmental perception devices and AI computing units, the system automatically identifies surrounding vehicles, pedestrians, and other elements, enabling approximately 24 evaluation items related to external traffic environment awareness.

Behavior Analysis System

Through the installation of sensors and high-definition cameras inside the test vehicle, combined with behavior analysis algorithms and test scenarios, the system achieves 43 evaluation items related to the candidate’s driving behavior and safety awareness.

Subject 3 In-Vehicle Examiner Intelligent Management System

By installing behavior detection cameras, microphone arrays, and AI computing units in test vehicles, the system automatically monitors every action and word of in-vehicle examiners, providing real-time alerts for abnormal behavior. This assists vehicle management offices in effectively managing the examination team.

Case Studies

Jinan Test Site, Shandong

Shigatse Test Site

Shigatse Test Site

Nanjing Jiangning Test Site