Title:

Liberty Mutual Image Analytics

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Abstract

Liberty Mutual is an American diversified global insurer with a focus in property and casualty insurance. The data science and analytics department from the offices in Dover, New Hampshire requested an easy method for determining the cost of customers’ insured items in the form of a web application. The end result makes the process of identifying value easier for both Liberty Mutual and its customers. The goal of this project was to develop a web interface that allows users to upload images of renter’s property. The web application takes the uploaded image and identifies specific objects within it, outputting prices for each object. For example, the application should identify a laptop resting on a desk and then, excluding unnecessary objects, determine an estimate for the price of the laptop. This was achieved with the integration of Amazon’s Rekognition API, which has image and face classification capabilities. The app makes calls to the API and a database is in place to hold the names and prices of objects that should be recognized. For this project, the developers needed to become familiar with and understand computer vision and had to launch an AWS instance to successfully host a site to carry out this scenario.

Authors

First Name Last Name
Cameron Claiborne

File Count: 2


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Submission Details

Conference URC
Event Interdisciplinary Science and Engineering (ISE)
Department Computer Science (ISE)
Group Applications
Added April 20, 2020, 6:51 p.m.
Updated April 22, 2020, 2:32 p.m.
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