Latest NIST FRVT evaluation report 2024-12-20
π ID Document Liveness Detection - Linux - Here 
π€ Hugging Face - Here
π Product & Resources - Here
π Help Center - Here
πΌ KYC Verification Demo - Here
πββοΈ Docker Hub - Here
We implemented ANPR/ALPR(Automatic Number/License Plate Recognition) engine with unmatched accuracy and precision by applying cutting-edge 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.
| 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 |
| β‘οΈ | LPR - Android | License Plate Recognition Android SDK | Available |
| 6 | LPR - iOS | License Plate Recognition iOS SDK | Available |
To get more products, please visit products here:
You can visit our YouTube video for ANPR/ALPR model's performance here to see how well our demo app works.
- The code line below shows how to update SDK with the
license key: - To request
license key, please contact us:
π§Email:contact@kby-ai.com
π§Telegram:@kbyaisupport
π§WhatsApp:+19092802609
π§Discord:KBY-AI
π§Teams:KBY-AI
Android
- Copy the SDK(folder
libttvalpr) torootfolder in yourAndroidproject. - Add SDK to the project in
settings.gradle.
include ':libttvalpr' implementation project(path: ':libttvalpr')- Activate the
SDKby calling thesetActivationmethod:
var ret = AlprSdk.setActivation("xxx...")- Extract plates using the
extractPlatesmethod:
val alprResult: AlprResult = AlprSdk.process(
SDK_IMAGE_TYPE.ULTALPR_SDK_IMAGE_TYPE_RGBA32,
nativeBuffer, width.toLong(), height.toLong()
)
val plates = AlprUtils.extractPlates(alprResult);







