| I&T Solution |
Smart Bus Stop Monitoring using AI
(REF: S-2055) |
| Trial Project |
|
| Solution Feature |
- Use of High-resolution cameras with wide-angle lenses covering bus stops and queue areas
- Bus License Plate and route number Recognition using Yolov12
- Real-time multi-object tracking using DeepSORT
- Density Estimation using spatial analysis to measure crowd concentration
- Heatmap generation and predictive models for bus stop usage
|
| Trial Application and Expected Outcome |
- Detect incoming and outgoing buses with route number recognition
- Identify Vehicles License Plate and types to check if any illegal parking
- Perform DeepSORT Tracking on individual buses and passengers as they enter, wait, board and depart
- Identify high--density zones and peak usage periods of the bus stop
- Develop a convenient user interface displaying live status of the bus stop integrating with alert system
|
| Additional Solution Information |
Bus Stop Monitoring System.pdf
|
| 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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