The Real-Time License Plate Identification System project implements a license plate identification system. On resource-constrained systems, running inferences may prove to be too computationally expensive. One solution is to run the ML in the cloud and have the local (embedded) system act as a client of these services.
The Python software can run on various systems. Below is one where the image capture is via a Raspberry Pi 3/3B+/4 and a PC working together (GitHub here).
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