| I&T Solution |
Intelligent Site Safety Monitoring System
(REF: S-1603) |
| Trial Project |
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| Solution Feature |
- Real-time Environment Analysis: The mobile monitoring station will analyze the environment situation by video from different components to detect potential hazards.
- Audio safety notice: Regular audio alerts will be announced to remind workers to drink water and rest during Heat Stress at Work Warning as well as safety measures.
- Trespassing detection: Facial Recognition will be applied to detect unauthorized individuals and announce warnings.
- Alert Signals: The system can send alert signals to the supervisor for any abnormality detected.
- Backend System: The data will be stored on an off-site server and visualized through an online platform.
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| Trial Application and Expected Outcome |
- Fire and Smoke Detection: The system can accurately detect fire and smoke outbreaks in real-time.
- Personal Protection Equipment Identification: The system can identify workers who are not wearing the required PPE and announce audio alerts to remind workers.
- Smoking Behavior Identification: The system can detect and notify instances of smoking in prohibited areas and announce warnings.
- Audio Safety Notices: The system effectively delivers periodic audio alerts to workers, promoting safety awareness and encouraging adherence to safety guidelines
- Real-time Site Monitoring and Alerts: The backend online platform should allow authorized users to see real-time on-site environment and safety status.
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| Info on I&T Solution Provider |
| Solution Provider | : | Green AI Technology Limited | | Address | : | FLAT/RM B, 4/F, Yee Wah Industrial Building, 18 SAN ON STREET, TUEN MUN | | Contact Person | : | Cola Lam |
| Position | : | Co-founder and CEO | | Tel | : | 62135937 | | Email | : |
colalam@greenaitech.com | | Webpage | : | www.greenaitech.com |
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