OrCam: Watch this visual tool for the impaired in action
Posted by: Jon on 06/05/2013 09:13 AM [ Comments ]
OrCam is designed for the visually impaired and offers the wearer 'artificial vision' to compensate for lost visual abilities. Not to be mistaken for Google Glass, as this device was purpose made for limited sight people to decipher images and text, then transmit the information audibly to a small computer.
The system is designed to both recognize and speak “text in the wild,” a term used to describe newspaper articles as well as bus numbers, and objects as diverse as landmarks, traffic lights and the faces of friends.
The New York Times says it currently recognizes English-language text and beginning this week will be sold through the company’s Web site for $2,500, about the cost of a midrange hearing aid. It is the only product, so far, of the privately held company, which is part of the high-tech boom in Israel.
OrCam was founded several years ago by Amnon Shashua, a well-known researcher who is a computer science professor at Hebrew University here. It is based on computer vision algorithms that he has pioneered with another faculty member, Shai Shalev-Shwartz, and one of his former graduate students, Yonatan Wexler.
“What is remarkable is that the device learns from the user to recognize a new product,” said Tomaso Poggio, a computer scientist at M.I.T. who is a computer vision expert and with whom Dr. Shashua studied as a graduate student. “This is more complex than it appears, and, as an expert, I find it really impressive.”
The New York Times says it currently recognizes English-language text and beginning this week will be sold through the company’s Web site for $2,500, about the cost of a midrange hearing aid. It is the only product, so far, of the privately held company, which is part of the high-tech boom in Israel.
OrCam was founded several years ago by Amnon Shashua, a well-known researcher who is a computer science professor at Hebrew University here. It is based on computer vision algorithms that he has pioneered with another faculty member, Shai Shalev-Shwartz, and one of his former graduate students, Yonatan Wexler.
“What is remarkable is that the device learns from the user to recognize a new product,” said Tomaso Poggio, a computer scientist at M.I.T. who is a computer vision expert and with whom Dr. Shashua studied as a graduate student. “This is more complex than it appears, and, as an expert, I find it really impressive.”
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