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Automated Railcar Vision & Inspection System
Large-scale vision platform integrating 40+ cameras for real-time railcar loading and inspection.
- Stage
- Research Prototype
- Published
- Who made it?
Ali Maghami
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Overview
Architected and deployed a sophisticated vision system for railcar loading operations, integrating 40+ heterogeneous cameras, stereo pairs, and laser profilers for real-time localization and measurement.
Contributions
- Designed containerized vision pipeline deployed across Linux edge systems with Azure cloud backend
- Implemented 2D/3D localization and measurement algorithms for high-throughput inspection
- Managed CI/CD pipelines using GitHub Actions for automated builds and deployments
- Coordinated with cross-functional teams spanning automation, electrical, and mechanical engineering
Technologies
Computer Vision, 3D Imaging, Python, OpenCV, Open3D, Azure IoT Hub, Docker, Linux