| I&T Solution |
Smart Green Asset Management System
(REF: S-2016) |
| Trial Project |
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| Solution Feature |
- 6D mmWave Radar non-intrusive technology that can scan Internal structure (including tree trunks and roots underground) through-object visualization, specific for high risk and high value tree health assessment.
- Front-end mobile App to capture tree information using QR Code/NFC Tags/RFID Reader for RFID depending on Tree types with different risk levels.
- Back-end Integrated Analytic Platform with Management Dashboard for Tree Management by district, site or user-defined level. Desktop application to review and adjust risk assessment factors by authorized users.
- Core technology is Risk Scorecard Assessment based on multi-dimension tree information collected (patented scene analysis by photos, mmWave radar images, geo-location risk, climate risk and expert judgements and more) to develop an AI Assessment model specific for tree species in Hong Kong.
- inancial-grade maker-checker controls to ensure data integrity with multi-level user authentication and priviledge levels. Adequate information security control with audit logs and reports.
|
| Trial Application and Expected Outcome |
- Set up a data collection framework for individual trees by photo, mmWave Radar images, and other applicable IOT devices like accelerometers etc. and corelate to species, climate and location risks factors for back-end analysis. Outcome: a Tree Data Collection Framework.`
- Set up an AI Risk Assessment model for Trees: Define the Risk Assessment Criteria; Classify and Annotate Tree Images, Choose a Model Architecture for image classification; object detection (eg. spotting cracks) and segmentation (eg. isolating tree parts); Train and Validate the Model; Incorporate Domain Knowledge.
- Incorporate Domain Knowledge by collaborate with experts from International Society of Arboriculture and/or local academic professionals of Horticulture, Arboriculture and Landscape Management. Outcome: Review reports and continued review framework.
- Setup of the review framework to improve Risk Assessment: Define Quality Metrics for Tree Risk Assessment; Integrate Expert Review and Feedback Loops; Apply the NIST AI Risk Management Framework; Use Real World Data; Establish a Continuous Review Cycle.
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| Additional Solution Information |
Filix Medtech_EMSD Intelligent Tree Management Solution for Urban Environments.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Filix Medtech Limited | | Address | : | Room 8, 7/F Smartspace Proptech | | Contact Person | : | Wong Wai Kong |
| Position | : | CEO | | Tel | : | 59337235 | | Email | : |
waikong@filix.hk | | Webpage | : | http://www.filix.hk |
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