Projects
IntelligentScanners
An edge-deployed prototype that reads X-ray images to flag threats in high-security venues. Winner of Most Technically Feasible Prototype.
- Role
- Chief Technology Officer
- When
- Techcelerator 2022
- Organisation
- UTS Techcelerator
- Stack
- Python, TensorFlow, edge computing
The problem
The team set out to build a minimum viable product for real-time threat detection in high-security venues, using X-ray image analysis and running on edge hardware.
What I did
- Led the technical build as CTO of the IntelligentScanners team.
- Developed the AI models for X-ray image analysis and real-time threat detection.
- Deployed the minimum viable product on edge computing hardware.
What came of it
The team received the Most Technically Feasible Prototype award at UTS Techcelerator 2022.