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Computer vision & lab automation
LLE Vial Analysis
LLE Vial Analysis combines a custom camera and lighting assembly with a trained PyTorch detector and a Flask control interface. The system follows a 48-position plate workflow, measures liquid-liquid extraction layers, flags unsuitable samples, and turns each run into annotated images, Excel reports, and structured data.
What it demonstrates
Engineering that reaches beyond the demo.
- Custom-trained object detection for vials, liquid layers, menisci, residue, and rag layers
- Motion-aware image capture integrated with a 48-position laboratory workflow
- Pixel-to-volume calculations, annotated images, and generated Excel reports
- Custom 3D-printed camera mount and controlled lighting for repeatable inspection