The Challenge
Inefficiency
Time-consuming manual inspections
High Costs
Expensive proprietary hardware and data fees
Inaccuracy
Human errors in identifying and reporting issues
Scalability
Difficulties maintaining consistency across facilities
Our Solution
Digital Twin Creation
Precise 3D models of indoor spaces using affordable LiDAR scanning
AI-Powered Detection
Automatic identification of facility components and anomalies
Predictive Maintenance
Analytics to forecast future maintenance needs based on historical data
Comprehensive Solution
Digitalization of Asset Management
- Precise digital twin creation of indoor spaces
- Affordable LiDAR-based scanning solutions
- Support for multiple scanner devices, eliminating dependency on expensive proprietary platforms
Automated Object and Anomaly Detection
- Advanced machine learning for automatic detection of facility components
- Identification of structural cracks, watermarks, leakages, and maintenance issues
- Custom Object Detection feature with user-friendly annotation interface
Predictive Maintenance
- Analytics for predicting maintenance needs based on historical data
- Proactive facility maintenance approach
- Significant reduction in unexpected breakdowns and emergency repairs
Interactive 3D Visualization
- Intuitive web-based viewer platform
- Easy navigation through scanned 3D environments
- Highlighted anomalies directly within the 3D viewer interface
Technology Stack
Frontend
ReactJS, WebGL for interactive 3D viewer
Backend
Python (Flask framework), robust data processing pipeline
AI & ML
PyTorch for custom machine learning model development
3D Processing
LiDAR and photogrammetry-based 3D reconstruction
Competitive Advantage
Feature | InfraScan | Competitors |
---|---|---|
Automated Object Detection | Built-in & Customizable | Manual or Limited |
Customizable Detection | User-defined classes | Not Supported |
Predictive Maintenance | Advanced analytics | Basic or IoT-dependent |
Cost-effectiveness | High affordability | High cost of export data |
Who We Serve
Property Management Companies
Facility Management Services
Commercial Real Estate Firms
Building Maintenance Companies
Get in Touch
Contact Information
ai.facility.scan@gmail.com
+852-9747-0718
Science Park Rd Ma Liu Shui, Hong Kong