# License Plate Recognition-Android

`KBY-AI`'s `LPR` on-premise Android `SDK` utilize artificial intelligence and machine learning to greatly surpass legacy solutions. Now, in real-time, users can receive a `vehicle's license plate number`.

`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.

## Features

* [x] Vehicle License Plate Reader
* [x] OCR Based License Number Parser
* [x] Vehicle Detection & Tracking
* [x] Export License Plate Coordinate
* [x] Support Car, Truck, Bus, etc
* [x] Support Various License Plates From 180+ Counrtries
* [x] On-Premise, Fully Offine Work

## License

We offer `lifetime license(perpetual license)` based on `application ID` for `Android`. and `bundle ID` for `iOS` .  The license is available for `one-time payment`. In other words, once you purchase license from me, you can use our `SDK` permanently.

To request a license, please contact us:

> **Email:** <contact@kby-ai.com>&#x20;

{% embed url="<https://wa.me/+19092802609>" %}

{% embed url="<https://t.me/kbyaisupport>" %}

{% embed url="<https://discord.gg/6wm383re2s>" %}

{% embed url="<https://teams.live.com/l/invite/FAAYGB1-IlXkuQM3AQ>" %}

## Google Play

{% embed url="<https://play.google.com/store/apps/details?id=com.kbyai.alpr_flutter&pli=1>" %}

## Resources

{% embed url="<https://github.com/kby-ai/Automatic-License-Plate-Recognition-Android>" %}

## Screenshots

<div><figure><img src="https://2589216230-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F1WwtQK0VFwKRGmIjGA3I%2Fuploads%2FWAji1LqYDnn9CjIdQG4p%2F370971177-34be1181-fe83-4be0-b955-7c174961410b.png?alt=media&#x26;token=9efdfcb0-31f0-49a5-b242-bea01ccc5463" alt="" width="212"><figcaption></figcaption></figure> <figure><img src="https://2589216230-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F1WwtQK0VFwKRGmIjGA3I%2Fuploads%2FcJghjRw6UztklhO47lJN%2F370971732-23645cc7-2f79-4deb-becd-2d88cb32c983.png?alt=media&#x26;token=c239290f-0dfc-4e83-93a5-756f232d6e56" alt="" width="212"><figcaption></figcaption></figure> <figure><img src="https://2589216230-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F1WwtQK0VFwKRGmIjGA3I%2Fuploads%2F0BmxlQCyQqMwaHp3k5Q2%2F370971315-4d17e31e-d1e0-492a-98bd-c34ed68c3a6a.png?alt=media&#x26;token=33231342-d257-4be7-8b90-8a35e90c0089" alt="" width="212"><figcaption></figcaption></figure></div>