{"id":27061,"date":"2023-06-20T15:42:35","date_gmt":"2023-06-20T19:42:35","guid":{"rendered":"https:\/\/michigan.it.umich.edu\/news\/?p=27061"},"modified":"2024-07-08T06:04:16","modified_gmt":"2024-07-08T10:04:16","slug":"u-m-team-develops-two-new-apps-to-capture-interfaces-and-images-for-visually-impaired-users","status":"publish","type":"post","link":"https:\/\/michigan.it.umich.edu\/news\/2023\/06\/20\/u-m-team-develops-two-new-apps-to-capture-interfaces-and-images-for-visually-impaired-users\/","title":{"rendered":"U-M team develops two new apps to capture interfaces and images for visually impaired users"},"content":{"rendered":"\n
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ImageExplorer identifies the people, benches and bags in this photo. It correctly autocaptions the image as \u201ca couple of women walk down a sidewalk.\u201d The app accurately recognizes some clothing types, like skirts, while most tops are simplified to \u201cshirts.\u201d (Credit: Human-AI Lab, University of Michigan)<\/figcaption><\/figure>\n\n\n\n

U-M assistant professor of computer science and engineering Anhong Guo led the development of the two apps for visually impaired users with a team based at the University of Michigan. The research has been funded by both U-M and Google. <\/p>\n\n\n\n

One of these apps, VizLens<\/a>, is listed as an, \u201cappliance reader app for users with visual impairment.\u201d VizLens allows users to scan and access an existing image of an inaccessible interface\u2013 for example, a flat microwave panel \u2013and hear the button labels read aloud or, alternatively, use the camera to have labels read out in real-time in correspondence to where the user places their finger.<\/p>\n\n\n\n