| I&T Solution |
AI-Powered Bicycle Parking Monitoring and Management System
(REF: S-2037) |
| Trial Project |
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| Solution Feature |
- Real-Time Occupancy Mapping: Digital map showing bicycle parking availability and violations.
- Compliance Enforcement: Automatic detection of undesignated parking and walkway clearance (≥1.2m)
- Long-Term Bicycle Tracking: Identifies bicycles left unused beyond configurable thresholds
- Model & Color Recognition: Differentiates bicycle types (road, mountain, folding, e-bike) and color categories.
- Privacy Safeguards: Facial masking and anonymization at the edge before storage or transmission.
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| Trial Application and Expected Outcome |
- Operational Efficiency: Reduces overcrowding and improper usage through automated compliance enforcement.
- User Convenience: Real-time visibility of available parking improves accessibility.
- Policy Support: Analytics on bicycle types, colors, and usage patterns inform urban planning and facility design.
- Scalability: Modular architecture allows expansion across multiple facilities.
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| Additional Solution Information |
Proposal_ AI-Powered Bicycle Parking Monitoring and Management System 12-08-2025.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | iBonus Limited | | Address | : | 338, 16W, Science Park | | Contact Person | : | Keith Lau |
| Position | : | CEO | | Tel | : | 96878214 | | Email | : |
keith@ibonus.net | | Webpage | : | ibonus.net |
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