License plate recognition in 2022



Medium article – https://medium.com/p/e583dc5a7adb (a lot of links in it!)
0:00 – Intro
2:00 – History of ALPR
4:40 – Modern pipelines
8:10 – Car number recognition on mobile
8:47 – Number plate recognition on a barrier
9:39 – License plate recognition in speed control systems
11:08 – ALPR on API systems
12:32 – Detection in automatic license plate recognition systems
14:22 – Detection with rotation
15:02 – Detection with a lot of ankers
15:48 – How we do the detection part
16:56 – Text recognition
17:17 – Text recognition with CTC-loss, LSTM, Transformers
21:53 – End-to-end text recognition for car plate numbers
23:33 – Recognition with attention
25:03 – Text recognition with segmentation
28:35 – Examples. How to start with ALPR?
29:18 – Nvidia TAO
29:52 – OpenVino ALPR
30:30 – OpenSource approaches
30:55 – Nomeroff Net solution
32:03 – Yolov5 + OCR approach
32:50 – Summary

And, do not forget that we provide CV-related consulting – https://cvml.rembrain.ai/
My LinkedIn – https://www.linkedin.com/in/anton-maltsev-037a5684/
My Medium – https://medium.com/@zlodeibaal
My Telegram channel – https://t.me/CVML_team (in russian)

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3 thoughts on “License plate recognition in 2022”

  1. Антон, здравствуйте! Не могли бы вы поделиться какими-то конкретными названиями сетей или статей по третьему подходу при распознавания символов на номере через feature map? Заранее спасибо.

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