S-0479
通過激光雷達和攝像機進行隧道車輛監測和分類
Manual tunnel monitoring is a time and resource consuming process that is prone to human errors and miscalculations. The Tunnel Vehicle Monitoring and Classification system uses computer vision and 3D point clouds to derive insights from the video cameras and LiDAR sensors installed in the tunnels. It analyzes the traffic in tunnel, calculates the number of vehicles in predefined areas, determines speed and direction of traffic, conducts vehicle classification (e.g. taxis, public buses, private cars), and displays real-time and accumulated statistics in a web-based dashboard so as to tailor to user’s needs.
城市管理
基礎設施
運輸
人工智能
物聯網
影像分析
This solution can help to improve the conditions of using tunnels by providing real-time tunnel usage statistics. The statistics can help users to understand the conditions of tunnel usage such as average speed of traffic, number of vehicles in queue, etc.
高迪飛有限公司
61593979
Unit 661, Building 19W, Hong Kong Science Park, Hong Kong
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