| I&T Solution |
AI Video Analysis System (AVAS) for Lift Maintenance Works
(REF: S-1985) |
| Trial Project |
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| Solution Feature |
- AI video analytics model that could detect irregularities or procedural lapses, and alert regulatory personnel for further investigation.
- To use a more technologically advanced approach that could enhance inspection efficiency and ensure better compliance with safety standards.
- A mobile app integrated with a body-worn or helmet-mount camera for taking video and uploading it to the AI video analysis system while minimizing the disruption of maintenance works.
- A digital, intelligent inspection system that meet all the data security, privacy protection and AI governance requirements.
- A secure, web-based platform for EMSD inspectors to manage video submissions, view AI-generated analysis reports, and conduct manual reviews.
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| Trial Application and Expected Outcome |
- AI video analytics model was built to detect irregularities or procedural lapses, and alert regulatory personnel for further investigation with over 90% accuracy.
- A digital, intelligent inspection system with all hardware configurations that could monitor more sites with less resources: At least 30,000 inspection cases annually
- A mobile app that could integrate with a body-worn or helmet-mount camera for taking video and uploading it to the AI video analysis system: Support video up to 60mins.
- A digital, intelligent inspection system that comply 100% with all the data security, privacy protection and AI governance requirements
- A secure, web-based platform for EMSD inspectors to manage video submissions, view AI-generated analysis reports, and conduct manual reviews that has 70% resources and time savings.
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| Additional Solution Information |
AI Video Analysis System for Lift Maintenance Works.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | imimr systems limited | | Address | : | Unit 2, 15/F, Lemmi Centre, 50 Hoi Yuen Road, Kwun Tong , Kowloon, Hong Kong | | Contact Person | : | KC Lee |
| Position | : | Business Director | | Tel | : | 31881788 | | Email | : |
kc@imimr.net | | Webpage | : | www.bizby.ai ; www.imimr.com |
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