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By Scott D'Angelo | Published February 7, 2018 - Updated February 7, 2018
Artificial IntelligenceMobile DevelopmentNode.jsVisionCloud
The IBM Watson Visual Recognition service uses learning algorithms to analyze images for content such as objects, scenes, and faces. This code pattern presents an insurance industry use case: a custom classifier for analyzing vehicle damage. You will create a mobile application that takes a picture of vehicle damage and sends it to the insurance company to identify and classify the problem, for example, a flat tire, a broken window, or a dent.
Image classification is a growing requirement for all kinds of organizations, including insurance companies. Classifying images gets easier with the IBM Watson Visual Recognition service.
The Visual Recognition service provides the ability to create custom classifiers by uploading sample images. In this code pattern, you’ll explore an interesting use case, where an insurance company requires a custom classifier for analyzing vehicle damage.
You will create a mobile application using Apache Cordova, Node.js, and Watson Visual Recognition. The mobile application sends the images of auto and motorcycle accidents and other vehicle issues to be analyzed by a server application using Watson Visual Recognition. The server application uses the images to train Watson Visual Recognition to identify various classes of issues, for example, vandalism, a broken windshield, a vehicle accident, or a flat tire. You can leverage this to create your own custom Watson Visual Recognition classifiers for your use cases.
When you have completed this code pattern, you should know how to:
The basic steps to deploy this code pattern are listed below. Details are included
in the README.md.
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