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Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...
Reuters described an important part of how it works as "a wireless smartcamera" which, when attached outside eyeglass frames, can read and verbalize text, and also supermarket barcodes. This information is converted to spoken words and entered "into the user’s ear." Face-recognition [2] is also part of OrCam's feature set. [3]
Eye tracking device is a tool created to help measure eye and head movements. The first devices for tracking eye movement took two main forms: those that relied on a mechanical connection between participant and recording instrument, and those in which light or some other form of electromagnetic energy was directed at the participant's eyes and its reflection measured and recorded.
Summary. 1870–1931. Earliest ideas of optical character recognition (OCR) are conceived. Fournier d'Albe's Optophone and Tauschek's Reading Machine are developed as devices to help the blind read. [1] 1931–1954. First OCR tools are invented and applied in industry, able to interpret Morse code and read text out loud.
Screen reader. An example of someone using a screen reader showing documents that are inaccessible, readable and accessible. A screen reader is a form of assistive technology (AT) [1] that renders text and image content as speech or braille output. Screen readers are essential to people who are blind, [2] and are useful to people who are ...
The same year, another experiment was conducted on 90 undergraduates at a college in Western New York involving paper reading, computer reading, and e-book reading. Like the children in the Norwegian experiment, the students were tested for comprehension upon reading a number of passages: five focused around facts and information and the other ...
Even a specific task like translation requires a machine to read and write in both languages, follow the author's argument (reason), understand the context (knowledge), and faithfully reproduce the author's original intent (social intelligence). All of these problems need to be solved simultaneously in order to reach human-level machine ...
ICR. Intelligent character recognition (ICR) makes use of continuously improving algorithms to collect more information about the variances in hand-printed characters and more precisely identify them. ICR, which was created in the early 1990s to aid in the automation of forms processing, enables the conversion of manually entered data into text ...
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