The system supports a centralized control mode, allowing multiple Subject 3 examination sites to share a single management platform for unified examination process management. It features real-time video monitoring, manual evaluation, candidate identity verification, voice intercom, examination progress tracking, status monitoring, re-evaluation, and video retrieval. This enables a central platform to command multiple examination sites simultaneously, requiring only the installation of on-board and network systems at the examination sites, thus eliminating the need for additional storage hardware. This effectively reduces construction costs for examination sites and conserves law enforcement resources, optimizing overall examination operations.

The system supports mainstream domestic satellite boards such as Norstar, Unicore Communications, and Trimble, and is compatible with BeiDou, GPS, and GLONASS satellite systems, receiving positioning signals across seven frequency bands. This capability effectively mitigates the impact of in real-world road conditions, resulting in more precise examination evaluations.

The system optimizes and upgrades the existing structure of the Subject 3 examination system to enhance stability and maintainability. The rational module design and upgrades of certain equipment significantly improve the installation process of on-board devices, facilitating user installation and future maintenance.

The system utilizes dual-antenna positioning and orientation technology, combined with advanced data processing algorithms, to accurately calculate the movement status and direction of the examination vehicle. By utilizing vehicle model data and related software algorithms, it dynamically calculates the real-time positions of 32 contour points on the vehicle, ensuring accuracy in evaluations for rollback detection, line crossing detection, lane change detection, and roadside parking detection, effectively minimizing misjudgments. The software also conducts back-end verification and filtering of data validity to prevent inaccuracies caused by drift.

The system employs video composition technology to process and encode diverse information from the examination process, including in-car video, external footage, examination project video, candidate information, examination status, vehicle motion trajectories, vehicle signals, scoring, and results into a single high-definition video for transmission and storage. This approach reduces the system's bandwidth usage and lowers hardware costs for video storage at examination venues, ensuring the integrity and synchronization of information during post-examination reviews while simplifying the review process.

The database utilizes a Data Guard disaster recovery architecture for centralized management, facilitating maintenance and future expansion while alleviating maintenance pressure on examination sites. Real-time backups ensure data security.

The vehicle driver behavior detection technology extracts video data of the driver's posture using on-board cameras. It employs deep learning neural networks and computer vision algorithms for tasks such as facial detection, focus detection, and intrusion detection. This allows for electronic evaluations of driver behaviors, such as checking the dashboard, observing the rearview mirror, and determining if the driver's body extends outside the vehicle. This significantly enhances the automation rate of evaluations in Subject 3 examinations, improving objectivity and accuracy while reducing labor costs.

The system is seamlessly compatible with the E-HuiTong Smart Vehicle Management Platform, enhancing process management capabilities. It integrates multiple functions such as identity verification, self-check-in, information inquiry, voice broadcasting, intelligent allocation of examination vehicles (stations), and self-certification, enabling a "one certificate for all tests" approach. This not only streamlines services but also strengthens oversight of examination processes, providing candidates with a fair and convenient testing environment.