| I&T Solution |
AI-powered Computer Vision System that Monitors Bicycle Parking Areas in Real Time
(REF: S-2039) |
| Trial Project |
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| Solution Feature |
- Uses object detection and zone analysis to convert standard CCTV feeds into real-time bicycle counts and occupancy metrics.
- Handles day/night lighting, camera angle variations, and partial occlusion with high accuracy using transformer and segmentation models.
- Identifies walkway clearance violations and undesignated parking within defined virtual zones.
- Supports long-term tracking of stationary bicycles for asset management and recovery of abandoned units.
- Operates as a non-intrusive system with pre-assessed installation requirements and periodic model validation to maintain >90% analytical accuracy.
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| Trial Application and Expected Outcome |
- Conduct a pilot at designated bicycle parking areas using configured CCTV zones to measure real-time utilisation
- Validate accuracy by comparing system outputs with manual inspection samples across varying lighting and density conditions.
- Monitor stability of detection and tracking during peak loading to assess operational readiness.
- Analyse collected utilisation data to identify congestion patterns, abandoned bicycles, and walkway obstruction frequency.
- Demonstrate operational improvement via automated alerts for misuse, enabling faster enforcement and efficient space management.
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| Additional Solution Information |
HK EMSD Bicycle Monitoring.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Tictag Hong Kong Ltd | | Address | : | 5/F, Building 5E, 5 Science Park East Avenue, Hong Kong Science Park | | Contact Person | : | Kevin Quah Lian Shen |
| Position | : | CEO | | Tel | : | +6597939073 | | Email | : |
kevin@tictag.io | | Webpage | : | www.tictag.io |
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