Comprehensive, timely and accurate perception of traffic situations is the foundation of smart transportation. In order to support the practical application of traffic management, the first thing that needs to be solved is the limitations of low detection accuracy of traffic management targets, poor adaptability, and high data dependence.
About Qingdao Turing Technology Co., Ltd.
Qingdao Turing Technology Co., Ltd. has long focused on the core business of transportation and is committed to building a new generation of transportation digital intelligent IoT operating system to provide basic support for scenario-based AI applications in various vertical fields. Recently, Turing Technology launched a full-scenario AI perception innovative application solution based on the Shengteng AI basic software and hardware platform, focusing on four major business scenarios: transportation, highways, highways, and hubs.
By completing the migration learning of multiple perception algorithms with the full-scenario AI framework MindSpore, and relying on the powerful AI reasoning and video encoding and decoding capabilities of the Atlas series hardware, we can optimize smart transportation models, algorithms, systems, etc. The multi-target perception analysis and processing capability in the scenario has been increased from the original 20 channels on a single card to the current 60 channels, achieving a 3 times performance improvement and reaching the industry-leading level.
Innovation point 1: Traffic congestion recognition
It can analyze all types of panoramic videos such as bayonet, roadside, and eagle eye, and realize congestion identification in harsh scenes such as ramps, main roads, and interchanges, and the engineering application index reaches more than 95%
Innovation point 2: Traffic accident detection
Based on the identification of multiple key features and the construction of a fitting mathematical model for discrimination, it can greatly reduce the adverse effects of inconsistent performance features and complex interference scenes, and unify features for event characterization.
Innovation point 3: Infrastructure operation and maintenance
For signal lamp fault detection in the field of facility operation and maintenance, we provide 5 types of signal lamp groups and 17 lamp head states. These states include 8 types of fault detection, including off, yellow flashing, simultaneous lighting, occlusion, offset, release conflict, and too long/too short light time. Our accuracy rate reaches over 96%
Smart transportation products incubated based on Turing Technology's full-scenario AI perception innovative application solution have been launched in 42 cities in 12 provinces across the country, and the coverage rate in key provinces and cities such as Shandong and Jiangsu has reached more than 40%. During the 2023 Tsingtao Beer Festival, we used AI intelligent sensing technology to focus on monitoring congestion, accidents, abnormal parking and other situations at key intersections, achieving second-level perception and rapid processing of more than 40 congestion and abnormal parking situations, accurately The rate reached more than 85%, and the false negative rate was less than 5%, which effectively improved the efficiency of accident handling and ensured the smooth operation of traffic
Typical real accident examples
As an important participant and co-builder of the Shengteng AI ecosystem, Turing Technology will continue to work with Shengteng AI to explore industry vertical large model applications for intelligent transportation, and conduct in-depth research on business closed loops and segmented business scenarios driven by model collaboration. Implementation will provide accurate basis for urban transportation management and decision-making, improve the quality travel experience of all people, and assist the construction of smart transportation.
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The above is the detailed content of Turing Technology releases Ascend AI@Qingdao Smart Transportation full-scenario AI sensing solution, with performance improved by up to 3 times!. For more information, please follow other related articles on the PHP Chinese website!