🤗 Hugging Face - Here
📚 Product & Resources - Here
🛟 Help Center - Here
💼 KYC Verification Demo - Here
🙋♀️ Docker Hub - Here
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.
We have built ANPR/ALPR
project with Flutter framework.
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.
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
:Automatic-License-Plate-Recognition-Flutter/lib/main.dart
Lines 69 to 78 in 1dbfc41
- To request
license key
, please contact us:
🧙Email:
contact@kby-ai.com
🧙Telegram:
@kbyai
🧙WhatsApp:
+19092802609
🧙Skype:
live:.cid.66e2522354b1049b
🧙Facebook:
https://www.facebook.com/KBYAI
Make sure you have Flutter
installed.
This repo has been built with Flutter version 3.22.3
.
If you don't get Flutter
installed, please follow the instructions provided in the official Flutter
documentation here.
Please contact us to get our SDK library
file(libttvalpr.aar
) and put it on the suitable SDK folder(folder android/libttvalpr
).
Try to build this repo to make sure that SDK works fine by linking real Android
phone, not simulator
. Once it works fine, you are ready to integrate our SDK to your project.
Run the following commands:
flutter pub upgrade
flutter run
If you plan to run the iOS app, please refer to the following link for detailed instructions.
Android
- Please contact us to get our
SDK library
file(libttvalpr.aar
) and paste it to SDK folder(folderandroid/libttvalpr
). And then copy the SDK(folderlibttvalpr
) to the folderandroid
in your project. - Add SDK to the project in
settings.gradle
.
include ':libttvalpr'
- Copy the folder
alprsdk_plugin
to theroot
folder of your project. - Add the dependency in your
pubspec.yaml
file.
alprsdk_plugin:
path: ./alprsdk_plugin
- Import the
alprsdk_plugin
package.
import 'package:alprsdk_plugin/alprsdk_plugin.dart';
- Activate the
AlprsdkPlugin
by calling thesetActivation
method:
final _alprsdkPlugin = AlprsdkPlugin();
...
await _alprsdkPlugin
.setActivation(
"o3AfDW+0LAb55qW354xp9ef/Twg1WumIcKaBQLydx+o7+8nuZSo4aL4vVGro3mNCLvo8C2OPNDjZ"
"/8k+bvgbf8+QszGqG5ubjZOaREXO0Iw8pSepERy4HrWrS6I9ObjuttMUIRHBFNjIsT3RKH57mNv6"
"1IXxewXlIA2oe5Vak/zaddoKKKcSW+iWJWqIa1MxGn8PpUD1riQS9RrO/cwZsiAJU+5+ekkkyP3C"
"7eNZGzFfpmkLM55p2F98IMqWHjaMmX0klsNlxE/bdSJD8c2cS/+9DGLqiWb2FHz8FpR6sXjc+eGM"
"bNtBd0YxqfAy+oeTVdPyw0E17lj+Hilw4L4C6Q==")
.then((value) => facepluginState = value ?? -1);
- Initialize the
AlprsdkPlugin
:
await _alprsdkPlugin
.init()
.then((value) => alprpluginState = value ?? -1)
- Extract plates using the
extractFaces
method:
final plates = await _alprsdkPlugin.extractFaces(path: image.path)