https://toorun.dev/tags/real-time/Recent content in real-time on toorun.devHugo -- gohugo.ioen-usWed, 06 May 2026 12:30:00 +0000https://toorun.dev/posts/license-plate-reader-edge-detection-based-recognition-for-arm64/Wed, 06 May 2026 12:30:00 +0000https://toorun.dev/posts/license-plate-reader-edge-detection-based-recognition-for-arm64/Project Overview The License Plate Reader is a two-stage license plate detection pipeline designed for real-time operation on resource-constrained devices like the Raspberry Pi. It prioritizes lightweight computation over accuracy, using edge detection and contour analysis instead of machine learning frameworks. The system is structured as: Stage 1: Edge detection using Canny edge detection to identify plate-like regions Stage 2: Contour analysis with aspect ratio filtering to isolate license plates Stage 3: Tesseract OCR for text extraction and recognition This approach eliminates dependency on heavy ML frameworks, making it suitable for deployment on embedded ARM64 systems where memory and CPU are limited.