540 skills found · Page 4 of 18
szad670401 / HyperLPR OLD基于深度学习的实时车牌识别项目 A license plate recognition(LPR) project base on deep learning.
jjejdhhd / License Plate Recognition FPGA基于FPGA进行车牌识别
pragatiunna / License Plate Number DetectionA project where the license plate number is extracted from image of a vehicle using Object detection and Character recognition techniques.
longphungtuan94 / ALPR SystemAutomatic License Plate Recognition System for Vietnamese Plates
mut-deep / IR LPRIranian License Plate Recognition
hritik7080 / Car License Plate RecognitionThis is an implementation of a research paper - creating an Automatic Car License Plate Recognizer with some Computer Vision Techniques.
Ayers-github / Chinese License Plate Recognition中国多车牌检测、车牌角度矫正、车牌文本识别、车牌颜色识别、危险品车辆识别，ncnn车牌识别
algertc / ALPR DatabaseFully-Featured Automated License Plate Recognition Database Platform for Blue Iris + CodeProject AI Server 🚘
Feeyao / License Plate Recognition使用 "Darknet yolov3-tiny" 进行车牌识别
trungdinh22 / License Plate RecognitionVietnamese license plate recognition
lukagabric / PyALPRRaspberry Pi Automated License Plate Recognition
Asikpalysik / Automatic License Plate DetectionIn this project we utilize OpenCV t in order to identify the license number plates and the python pytesseract for the characters and digits extraction from the plate. As well this project will presents a robust and efficient ALPR system based on the state-of-the-art YOLO object detector. We build Web App with a Python program that automatically recognizes the License Number Plate by the end of this journi. The results have shown that the trained neural network is able to perform with high accuracy of nearly 90-95 percent in recognizing license plates in low resolution images using this system.
sundyCoder / Hyperlpr4AndroidEnd to end license plate recognition.
r1me / TOpenALPRDelphi binding for OpenALPR - Automatic License Plate Recognition library
raysonlaroca / Ufpr Alpr DatasetUFPR-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.
vjgpt / Vehicle Number Plate ReadingRead Vehicle Number Plate and store the data in a CSV file with date and time.
varungupta31 / Dashcam AnonymizerCode to Blur Human Faces and Vehicle License Plates in Video and Images using a SoTA Object Detection model YOLOv8
chenjun2hao / CLPR.pytorchEnd to End Chinese License Plate Recognition
CA-USTC / License Plate Recognition Pytorch该工作由电子科技大学陈昂、刘俊凯、夏子寒同学完成。我们提出可以使用深度学习的方案对中国车牌进行检测和识别。我们提出使用YOLOv3网络进行车牌检测，然后创新性地对检测后的车牌使用空间变换网络STN加以校正，最后使用LPRNet网络进行车牌的字符与数字识别。目前实测结果，在老师提供的45张数据集上，我们的YOLOv3网络检测准确率（IOU）达到98.2%，深度学习级联网络识别准确率为95.6%。我们采用大量测试集，最终我们的YOLOv3_STN_LPRNet级联网络识别准确率稳定在93.3%，不加空间变换网络STN的话，识别准确率在66%左右。 总体来说，使用深度学习的方案比传统方案效果提升的非常好，而且我们加入空间变换网络STN的做法对于提升识别准确率很有效。
sunilkumarmaurya786693 / Intelligence Traffic Monitoring System# 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">
