I’m Caleb, and I’m a maintainer of Cortex, an open source model deployment platform. Not long ago, we published this DIY license plate reader project, and I wanted to share it here for anyone who is interested in computer vision or production machine learning in general.
The project is a web service that accepts images and, using three trained models, returns extracted license plate text, assuming there is a license plate in the image. Of the models used, two are pre-trained models from keras-ocr, while one is a fine tuned YOLOv3. All models are freely available.
You can see a video of the project in action here: https://www.youtube.com/watch?v=gsYEZtecXlA
And read a write up by Robert Lucian, the maintainer who spearheaded this entire project, about how he built a camera system to interface with the web service using a Raspberry Pi and 5G: https://towardsdatascience.com/i-built-a-diy-license-plate-r...