Our Cloud Image Recognition SDK sends images through the Image Recognition API to the CraftAR servers and returns instant responses on collections of all sizes – even ones with millions of images. Our Image Recognition technology offers outstanding accuracy even in non-optimal conditions and our global server infrastructure ensures fast and reliable responses.
Because the heavy processing is done in the cloud, your native Android app can remain slim even after adding this high-tech capability.
We want to make development easy for you. To integrate the CraftAR Android Cloud Image Recognition SDK into your native mobile apps, we provide we provide a libs/ folder with all the SDK libraries included.
This page gives you pointers to the Tutorials you should follow to integrate this SDK; the documentation of the Classes; how to run the Examples; the Requirements of your system to use this SDK, and finally, Release Notes of our continuous updates.
In order to get started with the SDK, we recommend you to run the examples included in the distribution that you can download upon request (see button above). The examples are located in the Examples directory as an Android Studio Project.
The SDK is already linked in the project, available inside the distribution package. You can open it and just run the project from your device (note that running inside the Simulator is not available with the SDK).
The examples app opens a menu view that allows you to open the different examples. Each example opens the camera and the first step is for you to scan any object. We provide a set of reference images to point at that show different experiences. You can find those images in the folder Examples/Reference images.
We strongly recommend that you print this images out for testing. Pointing at them in your laptop/PC’s screen can heavily alter the experience due to artefacts that are invisible to your naked eye but very disturbing when captured with your smartphone.
Follow this tutorial for instructions on how to integrate the Android Cloud Image Recognition SDK into your Android projects.
To build the project or use the library, you will need Google’s Android Studio 2.2 or newer and a device with Android 3.0 or newer.
Follow this link to browse through the classes of the Android Cloud Image Recognition SDK
July 12th, 2017
December 15th, 2016
August 31st, 2016
March 18th, 2016
January 15th, 2016
December 17th, 2015
November 20th, 2015
November 17th, 2015
December 1st, 2014
October 2nd, 2013
The first public version of the Android SDK focuses mainly on our Cloud Image Recognition functionalities.
Learn more about the launch of the SDK in our Releases Blog: Extra, Extra, Read All About our New SDK.