Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

amolood/sudan-alpr-ai

Record type:

software
Creator:
amo
Host:
Automatic license-plate recognition for Sudanese plates — YOLO detector + fine-tuned OCR, with a reproducible benchmark. 🇸🇩 Sudan ALPR Automatic license-plate recognition for Sudanese plates. Finds the plate, reads the serial, confirms it's Sudanese, and decodes the state (wilaya) — all locally. ⭐ If this is useful to you, a star helps others find it. A real plate, detected and read: 2G479 → Sudan / Gezira It runs two deep-learning models locally on top of FastALPR — no cloud, no API keys. I wrote it because the old template-matching version I had fell apart the moment a photo was taken at an angle or from a distance, which is basically every real photo. This one holds up on messy, real-world shots. --- ## Contents - How it works · Requirements · Install - Project layout · Running it · Output - Country, class & state recognition - Accuracy & benchmark · Tests - Honest caveats · Training - Contributors · License --- ## At a glance | | | |---|---| | **What it reads** | Sudanese plates: serial, country, plate class, state | | **Plate classes** | 16 (private, government, police, army, diplomatic, UN, NGO, investment, transit, temporary…) | | **OCR exact-match** | **82.6%** (vs 0% for the off-the-shelf model) | | **Country detection** | **100%** on the labeled set | | **Runs on** | CPU or Apple Silicon (CoreML), fully offline after first run | | **Stack** | YOLO-v9 detector + fine-tuned CCT transformer OCR, via ONNX Runtime | ## How it works It's a two-stage pipeline, same idea every serious ANPR system uses: ``` car photo │ ▼ [1] detect → a YOLO-v9 model locates the plate and crops it out │ ▼ [2] read → a CCT transformer OCR model turns the crop into text → 3KH3476 │ ▼ [3] interpret → confirm it's Sudanese + decode the state → Sudan / Khartoum ``` Both models run on your machine through ONNX Runtime. On Apple Silicon they use CoreML automatically, so it's quick. The OCR model is fine-tuned on real Sudanese plates, so it reads the Latin serial line (e.g. `3KH 3476`) even when the lighting is bad or the plate is tilted. ## Requirements - * …

Visit

github.com

Tasks

optical character recognitioncomputer vision

Languages

Arabic, Sudanese Spoken

Tags

alprarabic-ocrdeep-learningfast-alprlicense-plate-recognitionocronnxsudanyolo

Licenses

MIT

Similar

amolood/Sudan-Schoolbooks-EPUBMoroccan ALPR Detector Benchmark - Test Setalmoizsaad/sudan-ai-agent

amolood/Sudan-Schoolbooks-EPUB

Convert Sudanese school textbooks into accessible, searchable EPUB 3 books with Arabic RTL support.

Moroccan ALPR Detector Benchmark - Test Set

This dataset provides the official test split for the Moroccan License Plate De

almoizsaad/sudan-ai-agent

# Sudanese AI Agent 🇸🇩 An interactive AI agent designed to understand and speak the Sudanese Arabic