License Plate Detection using YOLOv8

本课题利用 CCPD 数据及自生成的高清车牌数据，基于加入注意力机制以及轻型卷积改良的 YOLO 目标检测算法检测车牌，同时利用自定义的 ResNet+Transformer 网络构成字符识别算法用于识别检测出的车牌内容信息。所设计的模型提升了平均精度（mAP）值，降低了计算复杂度和模型体积。此外，本课题开发了一款基于 Gradio 框架搭建的 BS 结构车牌识别系统，能实现 Web 端与移动端界面自适应，完美适配不同设备屏幕。

# Intelligence traffic monitoring system ### About Due to a huge number of vehicles ,very busy road and parking which may not be possible manually as a human being, tends to get fatigued due to monotonous nature of the job and they cannot keep track of the vehicles when there are multiple vehicles are passing in a very short time. So modern cities need to establish effective automatic systems for traffic management and scheduling. The objective of this project is to design and develop an accurate and automatic number plate recognition system, Automatic traffic light control using google Api live traffic density data, smart fine system and also We can track the lost vehicle using vehicle number plate detection and find its location by google Map API. Intelligent Traffic Monitoring System (ITMS) is an image processing and machine learning technology to identify vehicles by their license plates and we uses the microService of google API for live traffic density. ### Features 1. License plate number recognition. 2. Matching the plate number with Database. 3. Intelligence traffic light control using live traffic density data. 4. Show traffic density of particular area for some duration of month in form of graph. 5. Online Vehicle license registration. 6. Smart fine system. ###Applications 1. Automated track the location of stolen vehicle 2. Anti-Theft/ Vehicle detection. 3. Traffic light automation ,no requirement of Traffic police. 4. Smart fine /E Challan Systems. 5. Car Parking / Automatic Toll Deduction. 6. Law Enforcement 7. VIP/Ambulance path Clearance 8. Help the government to take ● Increase the efficiency of existing transport infrastructure ● Develop a license plate recognition system, ● Build a smart fine system and in future enhancement automated fine systems for vehicles. ● Live Traffic detection system and automated traffic light control system. ● Predict the traffic density using machine learning for specific areas by its previous data. ● Automated lost vehicle detection system and information to administration. ● Handle traffic congestion using automated light control system. ### Installation * Clone the project. * Run `yarn install` to install the dependencies. * Run `yarn start` to view the project in action. ### OpenCV Demo to Count Vehicles * In "countingCars" directory, run 'python count.py' . ### License plate detection go to vehicle_number_by_its_pate folder and type python3 licenseplateDetection.py 1.jpg #secreenshot <img src="./screenshot/IMG_20200901_103735.jpg"> <img src="./screenshot/IMG_20200901_103751.jpg"> <img src="./screenshot/IMG_20200901_103811.jpg"> <img src="./screenshot/IMG_20200901_103826.jpg"> <img src="./screenshot/IMG_20200901_103844.jpg"> <img src="./screenshot/IMG_20200901_103906.jpg"> <img src="./screenshot/IMG_20200901_103943.jpg"> <img src="./screenshot/IMG_20200901_104003.jpg"> <img src="./screenshot/IMG_20200901_104044.jpg"> <img src="./screenshot/IMG_20200902_032314.jpg">

License plate Object Detection through YOLOv3 and Recognition through pytesseract

Robust, Realtime, On-Device License Plate Recognition Android

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using Fast R-CNN to detect License Plates in all sorts of pictures

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Real-Time license plate detection and recognition can be very useful for automating toll booths, finding out traffic rule breakers, and for addressing other vehicle-related security and safety issues.

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A Kerberos Vault integration with OpenALPR

结合 Yolov5 和 CRNN 的中国车牌检测

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Software for detecting vehicle license plates from images

Based on MTCNN+STN+LPRNet (Pytorch)

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A simple License Plate Detection using Open CV and EasyOCR.

3Grade 2Semester ImageProcessing Lecture Team Project

License plate recognition of vehicles

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Detect a car license plate number

This project utilizes the YoloV8 architecture to detect License plates of vehicles from videos or photos. YoloV8 is a neural network architecture designed to efficiently incorporate image classification.

To detect license plate of a vehicle and segment the image of the license plate

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Thai car license plate detection with YOLO v11, thai-trocr, FastAPI

Derin Öğrenme-Görüntü İşleme-YOLOv4-Plaka Tespit