Creating a Real-Time License Plate Detection and Recognition App

Creating a Real-Time License Plate Detection and Recognition App

Creating a Real-Time License Plate Detection and Recognition App | NVIDIA Developer Blog

“Automatic license plate recognition (ALPR) on stationary to fast-moving vehicles is one of the common intelligent video analytics applications for smart cities. Some of the common use cases include parking assistance systems, automated toll booths, vehicle registration and identification for delivery and logistics at ports, and medical supply transporting warehouses. Being able to do this in real time is key to servicing these markets to their full potential. Traditional techniques rely on specialized cameras and processing hardware, which is both expensive to deploy and difficult to maintain.

The pipeline for ALPR involves detecting vehicles in the frame using an object detection deep learning model, localizing the license plate using a license plate detection model, and then finally recognizing the characters on the license plate. Optical character recognition (OCR) using deep neural networks is a popular technique to recognize characters in any language…”

Source: developer.nvidia.com/blog/creating-a-real-time-license-plate-detection-and-recognition-app/