Article: Teaching machines to recognize objects. (John Hopkins Univ researcher Elli Angelopoulou develops new object recognition technique for robots)(Brief Article)

A packaging robot, working in a candy factory in the near future, aims its electronic eye at a tray crammed with chocolates. The robot must fill a box with a specific mix of candy, but how can it tell a cream-filled morsel from a chocolate-covered peanut cluster? A new object recognition technique developed at Johns Hopkins University, Baltimore, Md., might help this robot hold onto its job. Using three lights, a video camera, and a computer. researcher Elli Angelopoulou has devised a new way to transform visual images into electronic "signatures." Each is a distinctive series of 11 numbers. By comparing these signatures, a computer can tell how closely two objects ...

Related newspaper, magazine, and journal articles:

 
 
Newsweek Harper's Magazine The Washington Post Chicago Tribune Crain's Chicago Business PRNewswire Pediatric News The Nation Advertising Age The Economist (US) A FREE trial gives you access to over 80 million articles! Access over 6,500 publications with a FREE trial!