| I&T Solution |
AI Analysis on Vehicle Violation behaviors in Tunnels using Video Camera and Weigh-in-motion sensors
(REF: S-1889) |
| Trial Project |
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| Solution Feature |
- Implement AI Object Recognition Model for Identification on Vehicle types using Video Camera
- AI Recognition on Vehicle Size and Cruising Speed detection using Video Camera
- AI detects the direction of the vehicle and connects with the lane control system to determine whether the driver has violated the rules
- Implement Weigh-in-motion (WIM) sensor array to predict whether the vehicle is over-weight
- Real-time Alert generation and Image capture when improper issues are detected
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| Trial Application and Expected Outcome |
- To build up an AI model for Identifying Vehicle Type, Size (Width and Length) and Speed using Video Camera
- To install a weigh-in-motion sensor array for Vehicle weight detection
- To develop a convenient user interface, which can define the monitoring area and the monitoring target
- To integrate User interface with camera, weigh-in-motion sensor, lane signal control system for Violation detection using AI
- To integrate with User interface with Email server, and any other alerting or broadcasting systems for making instant alert
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| Additional Solution Information |
Tunnel_Violation_Inspection_R1b.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Karmo International Co. Ltd. | | Address | : | Unit 252, 2/F, Building 12W, Hong Kong Science Park, Sha Tin, NT | | Contact Person | : | LAU Ping Hong |
| Position | : | Director | | Tel | : | 9184 4699 | | Email | : |
nelson.lau@karmo.com.hk | | Webpage | : | www.karmo.com.hk |
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