License Plate Recognition
Praveen Chittem
The dataset is collected from a local parking lot and labeled a few of the images were manually and later developed an AI tool based on these labels to auto-label the remaining dataset which worked fine and manual inspection has been done to adjust the labels. Then the dataset is trained using a deep learning model on AWS. This product has two stages. In the first stage, the model detects the license plate when it enters the region of detection and then characters in the license plate are predicted.
The inference is containerized in docker and deployed on NPU(Neural Processing Unit) Edge Device using the OpenVino framework.
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Posted Dec 20, 2022
Integrated the software that I designed on the NPU edge device which detects license plates and recognizes characters on the license plate.
