| I&T Solution |
Video Analytic Server
(REF: S-1957) |
| Trial Project |
|
| Solution Feature |
- Time-Series-Based AI Behavior Recognition
- Multi-Modal Sensor Data Fusion
- Intelligent Alerting with Low False Alarm Rate
- Real-Time Automated Alerts & Response
- Comprehensive Situational Awareness & Prevention
|
| Trial Application and Expected Outcome |
- Successfully and accurately identify worker falls or unconscious states in real-time within complex environments characterized by low light and high dust.
- Reduce the system's false alarm rate (e.g., misidentifying shadows as falls) to below 5%, demonstrating its reliability in real-world conditions.
- Achieve integrated alerts triggered by both AI visual detection (e.g., personnel collapse) and environmental sensors (e.g., oxygen deficiency, hazardous gas exceedance).
- Ensure the system activates multi-level alarms (on-site sound/light, backend notifications) within 10 seconds of any risk trigger, significantly reducing response time.
|
| Info on I&T Solution Provider |
| Solution Provider | : | Sarvas Technology Limited | | Address | : | Unit 313A, 3/F, Building 5W, Hong Kong Science Park, Pak Shek Kok, N.T. | | Contact Person | : | Jason Lun |
| Position | : | CTO | | Tel | : | 61781842 | | Email | : |
jason.lun@sarvastech.com |
|
