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The application also temporarily stores relevant video images for validating the accuracy of detections. The results are transmitted and made available via an in-vehicle local dashboard and a cloud dashboard. Front facing dash camera video streams are analyzed to extract the license plate text strings. This could be used in scenarios where warehouse managers need to know which vehicles have arrived or left the warehouse. In this example, the model outputs detected license plate numbers on a dashboard.
Automated License Plate Recognition (ALPR) reference implementation demonstrates how to use Edge Insights for Fleet middleware and delivers deep learning models, computer vision algorithms, OpenVINO™ and other software.
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