Production Computer Vision & OCR

State-of-the-Art ALPR & Document Intelligence

Engineered by Mohamed Shaban Ibrahim. A unified ecosystem of open-source models, PyPI frameworks, and smart parking automation tools for Egyptian and GCC environments.

Explore ALPR YOLO Model Explore National ID Detector

⚡ Published Models on Hugging Face

🚗 YOLOv8

moshabann/robovai-alpr-yolo

Fine-tuned YOLO object detection model specialized in real-time localization of Egyptian and GCC vehicle license plates under variable angles and lighting.

pip install ultralytics
model = YOLO("moshabann/robovai-alpr-yolo")
View Model Card & Weights →
🆔 Document AI

moshabann/egyptian-id-card-detector

Detects the 4 corner coordinates of Egyptian National ID cards (Front/Back) to perform 4-point perspective dewarping before text parsing.

from ultralytics import YOLO
model = YOLO("moshabann/egyptian-id-card-detector")
View Model Card & Weights →

📊 Egyptian License Plates Benchmark Dataset

Access the open-source sample evaluation dataset with annotated YOLO bounding boxes.

Open Dataset Hub