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Automatic-License-Plate-Recognition-C#

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Documentation

Automatic-License-Plate-Recognition-C#

Overview

This repository demonstrates ANPR/ALPR(Automatic Number/License Plate Recognition) SDK C#.Net version with unmatched accuracy and precision by applying SOTA(State-of-the-art) deep learning techniques.
KBY-AI's LPR solutions utilizes artificial intelligence and machine learning to greatly surpass legacy solutions. Now, in real-time, users can receive a vehicle's plate number through API.

We can customize the SDK to align with customer's specific requirements.

The ALPR system consists of the following steps:

  • Vehicle image capture
  • Preprocessing
  • Vehicle detection
  • Number plate extraction
  • Charater segmentation
  • Optical Character Recognition(OCR)

The ALPR system works in these strides, the initial step is the location of the vehicle and capturing a vehicle image of front or back perspective of the vehicle, the second step is the localization of Number Plate and then extraction of vehicle Number Plate is an image. The final stride uses image segmentation strategy, for the segmentation a few techniques neural network, mathematical morphology, color analysis and histogram analysis. Segmentation is for individual character recognition. Optical Character Recognition (OCR) is one of the strategies to perceive the every character with the assistance of database stored for separate alphanumeric character.

◾License Plate Recognition SDK Product List

No. Repository SDK Details Status
1 LPR - Linux License Plate Recognition Linux SDK Available
2 LPR - Docker License Plate Recognition Docker Image Available
3 LPR - Flutter License Plate Recognition Flutter SDK Available
➡️ LPR - C# License Plate Recognition C# SDK Available
5 LPR - Android License Plate Recognition Android SDK Available

To get more products, please visit products here:

Try the API

To try KBY-AI ALPR online, please visit here

Screenshot

Please click on Open button and choose a image file to see the performance. image

SDK License

This project demonstrates KBY-AI's License Plate Recognition Server SDK, which requires a license per machine.

  • To use the latest update, plesae contact KBY-AI team.
  • To request the license, please provide us with the machine code obtained from the getMachineCode function.
  • Ensure you copy the license.txt file to the bin/Debug/net8.0-windows folder, as shown in the image below:
    image

Please contact us:

🧙Email: [email protected]
🧙Telegram: @kbyai
🧙WhatsApp: +19092802609
🧙Discord: KBY-AI
🧙Teams: KBY-AI

Performance Video

You can visit our YouTube video for ANPR/ALPR model's performance here to see how well our demo app works.

ANPR/ALPR Demo

Application of ALPR

Automatic license-plate recognition (ALPR) is a technology that uses OCR(optical character recognition) on images to read vehicle registration plates. It can use existing closed-circuit television, road-rule enforcement cameras, or cameras specifically designed for the task. ALPR can be used by police forces around the world for law enforcement purposes, including to check if a vehicle is registered or licensed. It is also used for electronic toll collection on pay-per-use roads and as a method of cataloguing the movements of traffic, for example by highways agencies.
ALPR has many uses including:

  • Recovering stolen cars
  • Identifying drivers with an open warrant for arrest
  • Catching speeders by comparing the average time it takes to get from stationary camera A to stationary camera B
  • Determining what cars do and do not belong in a parking garage
  • Expediting parking by eliminating the need for human confirmation of parking passes

About

LPR C#, ALPR C#, ANPR C#, LPR, Vehicle Number Plate Recognition C#, Vehicle Detection C# and Vehicle Tracking C#

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