See it in action: https://bit.ly/3BTuyx5
Plate recognition system designed to recognise Romanian number plates from photos and videos, using a custom in-house trained machine learning model, done in collaboration with Nokia's Innovation Labs.
Project featured on WUT's Faculty of Mathematics & Informatics website: https://www.info.uvt.ro/rezultate-studenti/
- Features:
- Edge detection
- Contour detection
- Mask creation
- easyOCR for character recognition
- Features:
- Custom in-house trained machine learning model to approximate the number plate's location. The model was trained with more than 1000+ images, assuring an accuracy of 96% rate of succes. The model returns the bounding box of the found license plate that's used for character recogntion
- Pytesseract used for character recognition with character segmentation and morphological transformations.