Fusionopolis One
ワンノース内の30ヘクタールに及ぶ敷地を持つフュージョノポリス地区は、情報通信技術（ICT）、メディア、科学、および工学分野の産業がダイナミックに融合したエリアです。
Date
Feb 2018
Location
Singapore
Scan Duration
8 Manhours x 2 Pax
Processing Time
1 Day
The project called for building inspections to be conducted using drones and AI to detect and identify the exact locations of façade anomalies.
Challenge
A large-scale, mixed-use R&D environment with varied façade conditions across laboratories, offices, and public-facing structures. Manual inspection lacked consistency and made it difficult to accurately document and track façade anomalies.
H3 Zoom Approach
End-to-end façade inspection using drones and AI to capture, detect, and localise defects across multiple building surfaces. The platform standardised defect identification and created a consistent inspection record.
Deliverables
- Drone-based façade capture
- AI-classified defect detection
- Localised anomaly mapping
- Structured inspection report
100%
building façade coverage
3x
more consistent defect classification across asset types
100%
reduced reliance on manual inspection methods
不確実な状況から、根拠のある検査へ。
規制環境に対応した認定点検インテリジェンス
H3 Zoomが点検データを、規制当局に説明可能なレポート、改善の優先順位、そして監査対応可能な資産記録へとどのように変換するかをご覧ください。