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7 Image Recognition Applications of the Future

Did you know that image recognition is one of the main technologies that skyrockets the development of self-driving cars?

It is used for automated image organization of large databases and visual websites, as well as face and photo recognition on social networks such as Facebook.

Image recognition makes image classification for stock websites easier, and even fuels marketers’ creativity by enabling them to craft interactive brand campaigns.

  Beyond the common uses of image recognition we have gotten accustomed to, the revolutionizing technology goes far beyond our imagination.

By employing image recognition, Jetpac caught visual cues in the photos and analyzed them to offer live data to its users.

For example, on the basis of images, the app could tell you whether a cafe in Berlin is frequented by hipsters, or it’s a wild country bar.

Computer vision is one of the main technologies that makes these advancements possible, and is fueling their rapid development and enhanced safety features.

A number of new games use image recognition to complement their products with an extra flair that makes the gaming experience more immediate and ‘real.’ With neural networks training, developers can also create more realistic game environments and characters.

Besides the impressive number of image recognition applications in the consumer oriented market, it is already employed in important manufacturing and industrial processes.

Teaching machines to recognize visuals, analyze them, and take decisions on the basis of the visual input holds stunning potential for production across the globe.

For example, Xerox scientists are applying deep learning techniques to enable their AI software mimic the attention patterns of the human brain when seeing a photo or a video.

Apps powered by computer vision offer text-to-speech options, which allow students with impaired vision or dyslexia to ‘read’ the content.

Image recognition uses can also help educators find innovative ways to reach ever more distracted students, who are not susceptible to current methods of teaching.

The advancement of image recognition, however, is bringing new possibilities for iris recognition use across industries with improved accuracy and new applications.

While recognition is becoming more precise, security concerns over biometrics identification remain, as recently hackers broke the iris recognition of Samsung Galaxy S8.

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