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Automatic-License-Plate-Recognition-Android

Overview

We implemented ANPR/ALPR(Automatic Number/License Plate Recognition) engine with unmatched accuracy and precision by applying SOTA(State-of-the-art) deep learning techniques in this repository.

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.

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
4	LPR - C#	License Plate Recognition C# SDK	Available
➡️	LPR - Android	License Plate Recognition Android SDK	Available

To get more products, please visit products here:

Google Play

Screenshots

Performance Video

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

SDK License

• The code line below shows how to update SDK with the license key:

  Automatic-License-Plate-Recognition-Android/app/src/main/java/com/kbyai/alpr/MainActivity.kt

  Lines 42 to 49 in 059b471

  	var ret = AlprSdk.setActivation(
  	"hbvQsY6g6rVqVrgZNjC9hqBV6sBCDtiKoaYAnQxm/VioUr+Icbz2wDrJD+hWLsrIkbVnLq0E7zBq\n" +
  	"ZV0PGk6w9ZX9ivPmU/QHbXT/EOkZR5DHYoDL7Kmh11dm1dNvufndjgB6S0ZYyYSiLlwnbIGaPTA6\n" +
  	"U4uMs+OtkFTREs+8fvo5qbfCpgaQCdeyFCCVQXTm2rb3GIog16eSIj1wOHuIdxkhEp++GRszKL8o\n" +
  	"2Bpu2cAJ1067GRhqo0Sa6uy4RdGp5DsHvIYZgnqdF4XVbSsxl6pN6rQuhQiJzkywMen5ECuFYkie\n" +
  	"jY6RPksi+fbrbVG9UXZpvFfzDsiuVqnQyAaA6g=="
  	)

• To request license key, please contact us:
  🧙Email: [email protected]
  🧙Telegram: @kbyai
  🧙WhatsApp: +19092802609
  🧙Discord: KBY-AI
  🧙Teams: KBY-AI
  

About SDK

1. Set up

1.1 Setting Up ALPR SDK

Android

• Copy the SDK(folder libttvalpr) to root folder in your Android project.
• Add SDK to the project in settings.gradle.

include ':libttvalpr'

1.2 Add dependency to your build.gradle.

  implementation project(path: ':libttvalpr')

2 API Usages

• Activate the SDK by calling the setActivation method:

  var ret = AlprSdk.setActivation("xxx...")

• Extract plates using the extractPlates method:

 val alprResult: AlprResult = AlprSdk.process(
      SDK_IMAGE_TYPE.ULTALPR_SDK_IMAGE_TYPE_RGBA32,
      nativeBuffer, width.toLong(), height.toLong()
 )
 val plates = AlprUtils.extractPlates(alprResult);