Recently, the vehicle and driver management intelligent construction project undertaken by Duolun Technology in Longnan City was successfully delivered and put into operation, marking the official deployment of the Allspark AI-Powered Vehicle and Driver Management Integrated Solution in Longnan. Centered on "data-driven + intelligent supervision," the project leverages data analysis models, intelligent auditing models, vehicle inspection models, and test process supervision models to comprehensively drive the transformation and upgrading of Longnan's vehicle and driver management from "informatization" to "intelligentization," delivering more efficient, convenient, and scientific traffic management services to the public.

Technology Enables Solutions to Traditional Pain Points in Vehicle and Driver Management

The 15th Five-Year Plan for Public Security Traffic Management Development explicitly calls for deepening the application of new technologies and equipment such as artificial intelligence and robotics to enhance technology-empowered traffic management capabilities. Aligning with this policy direction, Longnan City has adopted Duolun Technology's Allspark solution to address pain points including high regulatory pressure and limited police resources through technological means.

Allspark deeply integrates cutting-edge technologies such as OCR recognition, RPA, big data, and artificial intelligence, building an intelligent supervision system covering all vehicle and driver management scenarios. OCR recognition enables automatic comparison and verification of photo information. RPA technology expands automated business processing scenarios, effectively freeing up police resources. Human posture recognition and intelligent voice recognition technologies precisely capture improper behavior by safety officers during driving tests, ensuring fairness and impartiality.

Full-Scene Closed-Loop Supervision, Creating a New Paradigm of Intelligent Management

The project has developed multiple intelligent application systems around core vehicle and driver management scenarios, forming a closed-loop mechanism covering early warning, analysis, handling, and verification.

The Vehicle and Driver Management Big Data Analysis System uses big data modeling and threshold-based early warning to automatically identify business anomalies and generate alerts, enabling a closed-loop process for warning handling. This reduces management costs, improves regulatory efficiency, and facilitates accurate analysis of anomalous business cases, driving effective rectification of persistent issues.

The intelligent supervision system for Subject I, II, and III tests covers all aspects of the examination process. At theory test venues, intelligent recognition analyzes the test-taker's environment and behavior in real time, automatically warning of abnormal actions. For Subject II test sites, digital modeling is achieved through IoT and 3D simulation technologies. Subject III uses human posture recognition and intelligent voice technology to comprehensively monitor safety officers, preventing cheating and irregularities. The system automatically triggers alarms, records audio and video, and generates audit trails.

The Motor Vehicle Inspection Video Intelligent Detection and Analysis System standardizes inspection procedures and criteria, achieving standardization, normalization, and data-driven operations. The system monitors the performance of inspection points and inspectors, tracks pass rate trends, and warns of anomalies, effectively addressing issues such as low inspection efficiency, missed inspections, and fraudulent substitutions. This significantly improves inspection efficiency and accuracy.

Optimization and Upgrades Deliver Tangible Results, Smart Traffic Management Embarks on a New Journey

During project implementation, the Duolun Technology team deeply optimized core modules of Longnan's public security traffic management integrated platform, including inspection and testing systems, vehicle management services, and examination systems. Post-optimization comparisons show qualitative improvements in interface interaction, business workflows, data collaboration, and intelligent early warning, resulting in significantly enhanced service efficiency and regulatory accuracy.

The deployment of this project not only injects powerful AI momentum into Longnan's new "professional + mechanism + big data" police operation model but also provides valuable, replicable experience for the development of smart vehicle and driver management across China. With its comprehensive intelligent capabilities, Allspark effectively improves regulatory efficiency and standardization levels for Longnan traffic police, helps alleviate police resource constraints, and offers citizens a fairer, more efficient, and more convenient service experience.

Looking ahead, Duolun Technology will continue to optimize system functionalities, deepen innovative applications of cutting-edge technologies such as AI and big data in the vehicle and driver management domain, provide stronger technical support for the modernization of traffic management services in more cities, and help usher smart vehicle and driver management onto a new level.