S-0479
Tunnel Vehicle Monitoring and Classification via LiDAR and Video Camera
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.
City Management
Infrastructure
Transport
Artificial Intelligence (AI)
Internet of Things (IoT)
Video Analytics
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.
Kodifly Limited
61593979
Unit 661, Building 19W, Hong Kong Science Park, Hong Kong
If any government department would like to conduct PoC trial or technology testing on the I&T solution, please contact Smart LAB.