administrator/frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2026-04-15 19:42:08 +03:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity

Update license_plate_recognition.md

Browse Source 
Add PaddleOCR description for license plate recognition in Frigate docs
This commit is contained in:
AmirHossein_Omidi 2025-10-01 16:18:33 +03:30 committed by GitHub
parent 8cdaef307a
commit 773b5a47cf
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 8 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9
docs/docs/configuration/license_plate_recognition.md
View File

@ -28,10 +28,17 @@ In the default mode, Frigate's LPR needs to first detect a `car` or `motorcycle`
:::
## OCR Model Details
Frigate uses **PaddleOCR** (via an ONNX runtime) to perform text recognition on detected license plates. This model extracts characters from license plates and populates the `recognized_license_plate` field or a `sub_label` for tracked `car` or `motorcycle` objects. PaddleOCR provides accurate recognition even in challenging lighting and motion conditions, and it is lightweight enough to run on CPU or GPU depending on your configuration.
- The PaddleOCR ONNX model is used internally and can be replaced with custom OCR models if desired.
- For more details, visit the [PaddleOCR GitHub repository](https://github.com/PaddlePaddle/PaddleOCR).
## Minimum System Requirements
License plate recognition works by running AI models locally on your system. The models are relatively lightweight and can run on your CPU or GPU, depending on your configuration. At least 4GB of RAM is required.
## Configuration
License plate recognition is disabled by default. Enable it in your config file: