Built an end-to-end ALPR pipeline in Python that detects, reads and redacts license plates on commodity hardware. The system operates on an asynchronous Producer-Consumer model, orchestrating the flow of data between I/O operations and AI inference Trained object detection models on a 10,000-image dataset, with best performing models achieving a mAP50 of 97.3% and mAP50-95 of 71.2%.