| I&T Solution |
AI-Driven Water Leakage Detection & Workflow System
(REF: S-1894) |
| Trial Project |
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| Solution Feature |
- Real-Time Water Flow Monitoring: The system continuously tracks water usage patterns and detects irregularities in real-time
- Cloud-Based Data Processing & Dashboard Visualization
- AI-Powered Anomaly Detection Utilizing machine learning models, the solution can differentiate between normal and abnormal water flow behaviors
- Customizable Sensitivity & Alerts: Users can set probability thresholds for alerts, adjusting sensitivity to balance early detection and minimize false positives.
- The system identifies different types of leaks, from small, continuous drips to large, sudden bursts, by analyzing flow rate patterns and probability changes.
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| Trial Application and Expected Outcome |
- The AI model is trained using real-time water usage data, analyzing normal patterns with machine learning to detect deviations that indicate potential leaks.
- Sensors are deployed in a trial site with monitored water flow to help refine the model’s ability to identify and classify water usage abnormalities.
- Create controlled leaks to test AI response, refine probability calculations, and enhance real-world detection accuracy.
- Deploy the system in active buildings to evaluate AI performance in detecting abnormal water usage.
- Compare AI-detected anomalies with manual inspections to refine the model, enhancing accuracy, response time, and reducing false positives.
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| Info on I&T Solution Provider |
| Solution Provider | : | Cereb Intelligence Limited | | Address | : | 3/F, Building 2W, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong | | Contact Person | : | Trevor Ho |
| Position | : | CEO | | Tel | : | 69766934 | | Email | : |
trevor.ho@cereb.ai | | Webpage | : | https://www.cereb.ai/ |
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