Featured2025–2026
Laser-Cut Failure Prevention Software — CutGuard
Developed an image-audit system that detects structural defects in laser-cut design files before production by analyzing binary image representations and identifying potential failure points.
Built and deployed as a web application using Gradio on Google Cloud Platform, making the tool accessible to production teams without requiring local installation.
Key Features
- Binary image analysis for structural defect detection
- Pre-production failure point identification
- Web-based interface for team accessibility
- Cloud deployment via Google Cloud Platform
Tags
- Python
- Gradio
- Google Cloud Platform
- Image Processing
- Process Automation
- Web Application Development
- Cloud Deployment
Challenges Solved
Accurately classifying structural weaknesses in design files using image processing alone, without access to the underlying CAD data, while keeping false-positive rates low enough for production use.
Results & Impact
Caught defects before material was wasted on failed cuts, reducing scrap rates and giving production teams confidence to run jobs without manual pre-checks.