Close X
Wednesday, December 4, 2024
ADVT 
Tech

Facebook Programs Computers To Describe Photos For The Blind

Darpan News Desk The Canadian Press, 05 Apr, 2016 11:33 AM
    MENLO PARK, Calif. — Facebook is training its computers to become seeing-eye guides for blind and visually impaired people as they scroll through the pictures posted on the world's largest online social network.
     
    The feature rolling out Tuesday on Facebook's iPhone app interprets what's in a picture using a form of artificial intelligence that recognizes faces and objects. The iPhone's built-in screen reader, VoiceOver, must be turned on for Facebook's photo descriptions to be read. For now, the feature will only be available in English.
     
    The descriptions initially will be confined to a vocabulary of 100 words in a restriction that will prevent the computer from providing a lot of details. For instance, the automated voice may only tell a user that a photo features three people smiling outdoors without adding that the trio also has drinks in their hands. Or it may say the photo is of pizza without adding that there's pepperoni and olives on top of it.
     
    Facebook is being careful with the technology, called "automatic alternative text," in an attempt to avoid making a mistake that offends its audience. Google learned the risks of technology last year when an image recognition feature in its Photos app labeled a black couple as gorillas, prompting the company to issue an apology.
     
     
    Eventually, though, Facebook hopes to refine the technology so it provides more precise descriptions and even answers questions that a user might pose about a picture.
     
    Facebook also plans to turn on the technology for its Android app and make it available through Web browsers visiting its site.
     
    The Menlo Park, California, company is trying to ensure the world's nearly 300 million blind and visually impaired people remain interested in its social network as a steadily increasing number of photos appear on its service. On an average day, Facebook says more than 2 billion photos are posted on its social network and other apps that it owns, a list that includes Messenger, Instagram and WhatsApp.
     
    Until now, people relying on screen readers on Facebook would only hear that a person had shared a photo without any elaboration.
     
    The vocabulary of Facebook's photo-recognition program includes "car," ''sky," ''dessert," ''baby," ''shoes," and, of course, "selfie."

    MORE Tech ARTICLES

    How to win more 'likes' on Facebook photos

    How to win more 'likes' on Facebook photos
    An Indian-American student at Massachusetts Institute of Technology, US, has devised a formula that tells how the contents of a photograph may predict its popularity online.

    How to win more 'likes' on Facebook photos

    Twitter selfies to reveal your mood

    Twitter selfies to reveal your mood
    What if selfies posted on Twitter can reveal our mood - whether people who live in “happier” cities tend to post more selfies and whether they smile more while taking self-portraits?

    Twitter selfies to reveal your mood

    Need a house? Print it in hours

    Need a house? Print it in hours
    In what could make the dream of owning a house a reality for a large section of people in developing countries, a Chinese company has devised a method of 3D printing a house.

    Need a house? Print it in hours

    This lift to zip you to 95th floor in 43 seconds!

    This lift to zip you to 95th floor in 43 seconds!
    Forget the world's tallest skyscraper Burj Khalifa in Dubai. This elevator in China will take you to the 95th floor in flat 43 seconds!

    This lift to zip you to 95th floor in 43 seconds!

    Great! Now an app to protect your credit card from hacking

    Great! Now an app to protect your credit card from hacking
    Bad news for credit card hackers. Here comes a 'remote control' app that can help you turn your credit cards on and off with the click of a button, and control when, where, and how they are used.

    Great! Now an app to protect your credit card from hacking

    Male Twitter users biased towards women: Study

    Male Twitter users biased towards women: Study
    Gender bias is real on Twitter. According to research, twitter conversations among men feature fewer mentions of women.

    Male Twitter users biased towards women: Study