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TECHNOLOGY => Computing and Internet => Topic started by: Engadget on May 02, 2013, 05:30 AM

Title: SOINN gets intelligence boost, uses web-based image search to ID objects
Post by: Engadget on May 02, 2013, 05:30 AM
(http://www.blogcdn.com/www.engadget.com/media/2013/05/soinn.jpg) (http://www.engadget.com/2013/05/01/soinn-robot-image-search/?utm_source=Feed_Classic&utm_medium=feed&utm_campaign=Engadget)

Tokyo Institute of Technology's SOINN (Self-Organizing Incremental Neural Network) bot was impressive enough during our first introduction back in 2011 (http://www.engadget.com/2011/08/01/tokyo-institute-of-technologys-soinn-robot-teaches-itself-to-se/?utm_source=Feed_Classic&utm_medium=feed&utm_campaign=Engadget), but the intelligent device can now tap the web for its latest trick: accurate object identification. The updated system, which appears to utilize a database akin to Google's image search (http://www.engadget.com/2011/06/14/google-announces-search-by-image-search-by-voice-for-desktop/?utm_source=Feed_Classic&utm_medium=feed&utm_campaign=Engadget), can scour the web for similar shots, making it possible to ID objects based on comparable structures published on the web. It can distinguish a box cutter from a knife, for example, or a rickshaw from a car. For now, SOINN is limited to identifying objects in images, including those captured in realtime with a camera, but its designers imagine that future revisions could enable content recognition in video streams, and audio clips, too. Our friends at DigInfo saw the update in action -- check it out for yourself in the video after the break.

Filed under: Robots (http://www.engadget.com/category/robots/?utm_source=Feed_Classic&utm_medium=feed&utm_campaign=Engadget), Internet (http://www.engadget.com/category/internet/?utm_source=Feed_Classic&utm_medium=feed&utm_campaign=Engadget), Alt (http://www.engadget.com/category/alt/?utm_source=Feed_Classic&utm_medium=feed&utm_campaign=Engadget)

Comments (http://www.engadget.com/2013/05/01/soinn-robot-image-search/?utm_source=Feed_Classic&utm_medium=feed&utm_campaign=Engadget#comments)

Source: DigInfo.TV (http://www.diginfo.tv/v/13-0032-r-en.php)

Via: Engadget