From November 13th to 15th, 2024, the "2024 National Symposium on Key Technologies for Highway Monitoring, Early Warning, and Safety Emergency Response," hosted by the Comprehensive Transportation Development Promotion Branch of the China Communications and Transportation Association, was held in Kunming, Yunnan Province. This symposium aimed to fully implement the spirit of the 20th National Congress of the Communist Party of China and the Third Plenary Session of the 20th CPC Central Committee, to promote high-quality development of highway transportation, and to improve the level of information management of the highway network. Through technological empowerment, it sought to achieve comprehensive coverage, rapid retrieval, and stable operation of highway monitoring videos, thereby effectively improving highway monitoring and early warning capabilities, disaster prevention and mitigation capabilities, and the ability to handle major emergencies, ensuring the safety, stability, and smooth flow of the road network.
The conference focused on several key technical topics, including key points and prospects for optimizing and upgrading video monitoring on national expressways, construction of expressway operation monitoring and safety early warning systems, technical discussions on the construction of video-based infrastructure monitoring and early warning systems, sharing of experience in the construction and operation and maintenance management of provincial smart cloud control platforms, digital transformation of highway infrastructure and improvement of monitoring and early warning capabilities, event detection and early warning based on video cloud platforms, video AI analysis and application prospects, and exchanges on safe driving service guarantees in all-weather environments.
▲The Innoview technical team provided explanations to the attendees
At this seminar, Innoview's innovative application of AI-powered intelligent road inspection was a major highlight. As a leading provider of AI-powered intelligent road inspection solutions, Innoview's technical team delivered a compelling presentation titled "Exploration and Application of AI-Empowered Intelligent Road Inspection," sharing Innoview's technological innovations and application cases in the field of video AI analysis and application. Innoview's AI-powered intelligent road inspection system enables real-time accurate identification and analysis of road defects and visualizes multi-dimensional data inspection results, guiding maintenance decisions and helping to promote the digital and intelligent transformation of road defect inspection and maintenance work, as well as cost reduction and efficiency improvement.
In his presentation, Mr. Chen Tingyong, Product Director of Innoview, detailed how Innoview leverages advanced AI technology to achieve precise and efficient monitoring and early warning of road conditions in complex and ever-changing traffic environments. The system, through artificial intelligence, edge computing, and high-precision positioning, supports the identification of 42 types of road defects, including transverse cracks, longitudinal cracks, guardrail defects, alligator cracks, and potholes, promoting the intelligent, automated, and efficient operation of road inspections.
This presentation provided attendees with a comprehensive understanding of Innoview's innovative practices in leading the digital transformation of transportation infrastructure. Innoview's smart highway information products are extensive, encompassing not only AI-powered road inspection systems but also diverse solutions for highway scenarios, such as highway infrastructure safety monitoring, non-stop, non-site enforcement systems for overloading, bridge structural safety and health monitoring systems, and slope structural safety monitoring systems. These solutions aim to comprehensively improve the operational efficiency and service quality of highways using digital technology. The emergence of these innovative solutions not only lays a solid technological foundation for the digital transformation of highways but also adds new impetus to the vigorous development of the intelligent transportation field.
2024-11-15 16:14:00 
times 