Recently, Duolun Technology has been granted two invention patents, further solidifying its technological advantages. The first patent, “A Method, Electronic Device and Storage Medium for Intelligent Information Verification of Vehicle Inspection Forms”, focuses on automated information verification of vehicle inspection forms. It adopts intelligent algorithms to enable rapid data matching and verification, significantly reducing manual input errors. The second patent, “A Text Recognition Method, Device and Storage Medium Based on Deep Learning”, breaks through the limitations of traditional text recognition and leverages deep learning models to enhance the efficiency and accuracy of identifying vehicle inspection documents and labels, providing a foundational technological support for the entire intelligent review process.  

Two Patents Consolidate the Foundation for Intelligent Technology

With the number of national registered motor vehicles reaching 460 million, the efficiency and accuracy of vehicle inspection supervision are facing significant challenges. The two newly acquired patents have been deeply applied to an intelligent video supervision system for motor vehicle inspection and an intelligent review system for motor vehicle checks and inspections. Covering the entire process from information collection and text recognition to workflow supervision, the technologies provide comprehensive technical support, driving vehicle inspection supervision toward the “AI-empowered” era. 

Intelligent Video Supervision System Creates a New Model for Vehicle Inspection Supervision

Traditional methods of vehicle inspection supervision have exposed a number of challenges, including the heavy workload of manual reviews, low rates of real-time spot checks, easy falsification of static image data, and low levels of intelligence in video review. In response, Duolun Technology has developed an Intelligent Video Supervision System for Motor Vehicle Inspection, a critical breakthrough in overcoming traditional supervision challenges.

The system has established a full-process framework of “data collection, video analysis, intelligent recognition, and closed-loop processing”. By accessing inspection videos through interfaces, it leverages AI technology to monitor 8 key areas and 58 specific requirements, building more than 80 algorithm models. This enables intelligent verification of testing operation compliance in critical areas, such as personnel presence timing and lighting operations. Compared to traditional manual spot checks, the system has transformed the process from “sampling review” to “full-scale intelligent review”. The dual-dimensional review of “image + video” helps free up police resources and reduce the risk of violations. The system has already been deployed at 25 inspection stations in Suzhou, reviewing over 200,000 data entries with an accuracy rate exceeding 90%.

Intelligent Review System Drives Smartization of Vehicle Inspection

Traditional vehicle inspection processes require manual review of images and videos collected during inspections, which not only demands significant manpower and material resources but also results in low efficiency and failure to alleviate the growing pressure of vehicle inspection work year by year.

Empowered by AI technology, Duolun Technology’s Intelligent Review System for Motor Vehicle Checks and Inspections automatically reviews 3 categories of 18 testing items, reducing manpower costs by approximately 90%. It employs optical character recognition (OCR) technology to proactively warn anomalies such as data tampering, achieving an accuracy rate of 99%. The system can complete vehicle information comparison in just two seconds, while recording multi-dimensional data in real time. It also ensures full coverage of electronic inspection records, and optimizes the vehicle inspection process through big data analysis, comprehensively improving both the efficiency and quality of motor vehicle inspection.

Technology-Driven Industry Upgrade Reinforces Road Safety

Duolun Technology’s technological breakthroughs have spurred innovation in industry supervision models. This not only comprehensively supports the industry in achieving its multiple goals of “cost reduction, quality improvement, and efficiency enhancement”, but also provides replicable and promotable industry experience for the digital transformation of vehicle inspection supervision nationwide.

Looking ahead, Duolun Technology will continue to deepen the integrated application of AI algorithms with business scenarios, further expanding the coverage and functional boundaries of its products. From form verification to video supervision, from text recognition to full-process management, Duolun Technology is painting a new vision for the intelligent upgrading of the industry with technological innovation as its brush, strengthening road traffic safety.