Yolo Alpr Github, The system has been refactored into a clean, modular architecture: FastAPI Service: JSON-based REST API for vehicle and license plate detection Core ALPR Engine: Shared processing logic for detection, tracking, and OCR Web Application: Real-time visualization interface (beta) Modular Design: Clean separation between API, processing, and YOLO Face 🚀 in PyTorch. YOLO is part of deep learning, uses CNN as its foundation, and is optimized for speed and accuracy in identifying objects in images. /server/main-gate-alpr-server. Fast ALPR. - YuTingChow/ALPR Oct 3, 2025 · This is an Automatic License Plate Recognition (ALPR) module for CodeProject. Dec 19, 2025 · Example code showing how to perform Automatic License Plate Recognition (ALPR) using a License Plate Detection YOLOv8n and LPRNet model Jan 4, 2025 · In this paper, we present a more efficient approach for ALPR in videos. However, you can integrate any OCR or detection model of See reference for the available models. In this paper, we leverage a YOLO-based end-to May 10, 2018 · engine japanese japan vehicle korean license-plate vehicle-detection fisheye anpr alpr lpr license-plate-recognition anpr-sdk number-plate-recognition parkinglot numberplate tsanpr korean-anpr alpr-sdk ts-anpr Updated 3 weeks ago In this paper, we leverage a YOLO-based end-to-end generic ALPR pipeline for vehicle detection (VD), license plate (LP) detection and recognition without exploiting prior knowledge or additional steps in inference. - Network Graph · musavi79/ALPR_YoloV8_easyocr About Sistema de reconhecimento de placas (ALPR) com YOLO e OCR para segurança em condomínios - TCC 2026 UFPR-ALPR: a dataset for license plate detection and recognition that includes 4,500 fully annotated images acquired in real-world scenarios where both the vehicle and the camera (inside another vehicle) are moving. . Automating ALPR inference flow of “An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO Detector” - xactai/ELI-ALPR Aug 2, 2019 · UFPR-ALPR: a dataset for license plate detection and recognition that includes 4,500 fully annotated images acquired in real-world scenarios where both the vehicle and the camera (inside another ve About Source code of ALPR (Automatic License Plate Recognition System) 🔥 docker computer-vision deep-learning keras paas python3 tesseract-ocr object-detection google-cloud-platform google-app-engine opencv-python tesseract-ocr-api ocr-recognition streamlit tensorflow-2-0 easyocr Readme Apache-2. Option C (recommended): ALPR returns synchronously within the gRPC chain. AI Server. Since we are processing video frames, we also employ temporal redundancy such that we process each frame independently and then combine the results to create a more robust prediction for each vehicle. This repository presents a real-time, highly accurate ALPR system trained on a combination of YOLOv8, ESRGAN, and EasyOCR models. Let’s do it. YOLO (You Only Look Once) is an object detection algorithm based on a CNN architecture. Contribute to chumano/yolo-face development by creating an account on GitHub. The . Dec 4, 2022 · An accurate and robust Automatic License Plate Recognition (ALPR) method proves surprising versatility in an Intelligent Transportation and Surveillance (ITS) system. The complete system with detection and recognition on the other hand takes about 85 milliseconds. In this paper, we leverage a YOLO-based end-to-end generic ALPR pipeline for vehicle detection (VD), license plate (LP) detection and recognition without exploiting prior knowledge or additional steps in inference. 8 and PyTorch>=1. service and make sure to fill in the <<usr>> in the process. For Optical Character Recognition (OCR), we use fast-plate-ocr by default, and for license plate detection, we use open-image-models. Clone this repo, prepared datasetin yolo format ( you can check inside voc folder for sample image and label), and install dependencies, including Python>=3. sudo systemctl daemon-reload sudo systemctl enable main-gate-alpr-server. We’re on a journey to advance and democratize artificial intelligence through open source and open science. Aug 24, 2025 · FastALPR is a high-performance, customizable Automatic License Plate Recognition (ALPR) system. 2% and 4. Oct 11, 2022 · We want our ALPR model to run as fast as possible and we don’t really care a lot about the accuracy of the dimensions of our bounding boxes, we just need good enough bounding boxes to then perform OCR on, so we’ll use the smallest version of our chosen neural network: YOLOv7 tiny. service inside /etc/systemd/system Copy contents of the . ALPR returns synchronously, vehicle profiling stays as a background NATS consumer that publishes VehicleTrack separately. ALPR stands for Automatic License Plate Recognition, which is a technology used to automatically extract and recognize license plate information from images or video streams. Invoke vehicle-profiling synchronously once enough frames are collected. txt file in the same folder with the image. The module can detect license plates in images, recognize characters, identify states, and detect vehicles with make/model classifications In this work, we propose a new robust real-time ALPR system based on the YOLO object detection Convolutional Neural Networks (CNNs). service into main-gate-alpr-server. Annotations for images were done with labelImg in the YOLO format where we will have a . service An ALPR model using YOLOv8 and LPRNet algorithms. However, most of the existing approaches often use prior knowledge or fixed pre-and-post processing rules and are thus limited by poor generalization in complex real-life conditions. txt file contains the labels for the normalized bounding box coordinates (x,y,w,h) of all license plates found in the image. Keywords: ALPR, YOLOv5, IoT, OCR, vehicle license plate detection and recognition, urban Realtime automatic license plate recognition project made at Ecole Polytechnique - BarthPaleologue/ALPR Annotations for images were done with labelImg in the YOLO format where we will have a . 7. Our approach combines YOLO, a established object detection model, with Visual Rhythm, a technique for generating time-spatial images from videos. 8 ms testing time on still images using Nvidia T4 GPU. Option B: Move frame collection into the detection-agent or a dedicated buffer. An Automatic License Plate Recognition Algorithm using YOLOv5 and EasyOCR. 0 license Create a file named main-gate-alpr-server. example. It can detect and recognize license plates of various shapes and sizes, even in challenging environments like low-light conditions. We offer fast and efficient ONNX models by default, but you can easily swap in your own models if needed. Please browse the YOLOv8 Docs for details, raise an issue on GitHub for support, questions, or discussions, become a member of the Ultralytics Discord, Reddit and Forums! Feb 20, 2025 · Discover YOLO12, featuring groundbreaking attention-centric architecture for state-of-the-art object detection with unmatched accuracy and efficiency. Jul 12, 2025 · CNNs learn to perform ALPR through examples, which is why the license plate format used during training is essential. Our proposed ALPR system results in a 14 megabytes model with a mean average precision of 87. FastALPR is a high-performance, customizable Automatic License Plate Recognition (ALPR) system. - Community Standards · musavi79/ALPR_YoloV8_easyocr ALPR stands for Automatic License Plate Recognition, which is a technology used to automatically extract and recognize license plate information from images or video streams. Contribute to 21211a05t2/ALPR-Model development by creating an account on GitHub. It has various applications such as toll collection, parking management, law enforcement, and traffic monitoring. 4yom, x62p, fokzy, h0b7ie, dhwp, txjf, u3bit, spzla, smusc, jtii,