| I&T Solution |
AI-Based Bicycle Parking Monitoring System
(REF: S-2041) |
| Trial Project |
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| Solution Feature |
- Via AI image recognition technology, it real-time calculates parking space occupancy and vacancy, automatically detects unauthorized parking in restricted areas.
- It analyzes parking space usage and peak hour data, provides actionable decision-making basis.
- It uses AI image enhancement technology to adapt to harsh environments such as fog and low light, and combines high-angle shooting with multi-camera fusion to solve occlusion issues.
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| Trial Application and Expected Outcome |
- The system realizes real-time monitoring of bicycle parking status via AI image recognition technology, assisting management to quickly handle parking vehicles.
- By analyzing data such as parking space utilization rate and peak hours and integrating it into the management platform, the system achieves rational allocation of parking resources.
- Based on real-time data and violation alert functions, the system significantly reduces public complaints, lowers the cost of manual inspections.
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| Additional Solution Information |
EMSD W-0594.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Hong Kong Productivity Council | | Address | : | HKPC Building, 78 Tat Chee Avenue, Kowloon, Hong Kong | | Contact Person | : | Larry Li |
| Position | : | Associate Principal Consultant | | Tel | : | 27885819 | | Email | : |
yli@hkpc.org |
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