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Read this in other languages: العربية.

Create a Mobile App for Augmented Reality Translation

In this developer journey, we will create an iOS mobile app using Swift, Watson Visual Recognition and Watson Language Translator. The Visual Recognition service will be used to identify text of a captured images. That text can then be translated to any of the supported languages by Watson Language Translator.

When the reader has completed this journey, they will understand how to:

  • Create a mobile app that recognizes text in a photo using Watson Visual Recognition
  • Use Watson Language Translator to translate written text

Architecture

Flow

  1. The user takes a photo via the mobile app.
  2. User move to the second user interfact to confirm and click Next.
  3. image is processed with Visual Recognition to detect English text in the captured image.
  4. User chooses a language to translate the English text into.

With Watson

Want to take your Watson app to the next level? Looking to leverage Watson Brand assets? Join the With Watson program which provides exclusive brand, marketing, and tech resources to amplify and accelerate your Watson embedded commercial solution.

Included components

  • IBM Watson Visual Recognition: Quickly and accurately tag, classify and train visual content using machine learning.
  • IBM Watson Language Translator: Translate text from one language to another. The service offers multiple IBM provided translation models that you can customize based on your unique terminology and language.
  • Eureka: Eureka is a form builder framework for iOS applications.

Technologies

  • Artificial Intelligence: Artificial intelligence can be applied to disparate solution spaces to deliver disruptive technologies.
  • Mobile: Systems of engagement are increasingly using mobile technology as the platform for delivery.

Watch the Video

Steps

Step 1. Clone the repository

  • At a command line, clone this repo: 
    git clone [repo link]

Step 2. Create required services

  • Log into your IBM Cloud account. Sign up if you do not already have one.

  • From the IBM Cloud catalog, create a Watson Visual Recognition service. Create a set of credentials and identify your API key.

  • From the IBM Cloud catalog, create a Watson Language Translator service. Create a set of credentials and copy your username and password.

Step 3. Configure service credintials

  • When you run the app on Xcode, go to Credintials.swift and paste your own credentials from the previous step.

Step 4. Download the required frameworks

  • Using Carthage, run the following command to create a Cartfile

    touch Cartfile

  • Specify the frameworks in your carthage file

    github "watson-developer-cloud/swift-sdk"
github "xmartlabs/Eureka" ~> 4.0

  • Then run the following command to build the dependencies and frameworks:

    carthage update --platform iOS

    You should then see the downloaded frameworks in Carthage/Build/iOS folder

  • In that folder, select the following frameworks:

    • VisualRecognitionV3.framework
    • LanguageTranslatorV2.framework
    • Eureka.framework

    and drag it to the Embedded Library section of your target’s General tab and you're done 🎉