| I&T Solution |
AI Image Recognition-Based Bicycle Parking Monitoring System
(REF: S-2042) |
| Trial Project |
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| Solution Feature |
- Adopts a three-layer architecture of "front-end sensing + edge computing + central platform" to achieve low-latency, high-concurrency distributed intelligent monitoring.
- Utilizes deep learning-based bicycle detection and multi-object tracking algorithms for accurate target and trajectory identification.
- Integrates geometric ROI modeling and temporal analysis to intelligently identify illegal parking and long-term idle vehicles ("abandoned bicycles").
- Provides a visual platform integrating real-time monitoring, event alerts, and statistical analysis, seamlessly interfacing with existing management systems.
- Continuously optimizes AI models and operational rules using field data to enhance system accuracy and scenario adaptability.
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| Trial Application and Expected Outcome |
- Complete the deployment and system integration of front-end sensing and edge computing nodes in the pilot area.
- Successfully develop and deploy high-precision core algorithm models for bicycle detection, tracking, and parking space status determination.
- Implement automatic illegal parking alerts and suspected "abandoned bicycle" identification functions to support on-site management.
- Complete data integration with the existing operation and maintenance management platform for unified presentation and handling of alerts and statistical information.
- Validate system effectiveness through trial operation, achieve core performance indicators, and formulate a replicable and scalable implementation plan.
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| Additional Solution Information |
Preliminary Proposal for AI Image Recognition-Based Bicycle Parking Monitoring System_GEDI.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | China Energy Engineering Group Guangdong Electric Power Design Institute (HK) Co., Ltd. | | Address | : | Units 2612-15, 26/F., The Metropolis Tower, 10 Metropolis Drive, Hung Hom, Kowloon, Hong Kong | | Contact Person | : | XUE FEI |
| Position | : | Engineer | | Tel | : | 852-59585790 | | Email | : |
xuefei@gedi.com.cn |
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