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Machine learning and computer vision techniques are combined to create AI OCR. In order to determine which information has to be recorded, these algorithms examine the document layout during pre-processing.
Additionally, they might fix any lines or boxes that were erroneously left in place while scanning and adjust the aspect ratio of a page. The scanned document’s text is subsequently extracted by an OCR machine.
OCR tools can be useful in practically any scenario where information needs to be extracted from documents, photos, or non-searchable PDFs by means of repeated human labour.
The risk of human error is reduced by removing the typical hazards connected with manual entry. Generally, this digitization technology not only makes it easier for enterprises to follow regulatory standards by providing a central digital repository, but it also enhances the visibility of documentation.
The AI-based OCR Vision System accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Optical character recognition has been added to Cognex Corporation’s In-Sight 2800 vision system’s capabilities. With the aid of edge learning technology, the new ViDi EL Read tool easily deciphers human-readable characters on shiny, low-contrast, and irregular surfaces.
In order to ensure freshness and prevent consumer recalls, food and beverage makers may easily read expiration dates, even on curved surfaces, with the use of the simple OCR solution.
To ensure vaccination efficacy and adherence to medical standards, medical device and pharmaceutical businesses can validate dates and lot codes.
Envision, a smartphone app that supports blind and low-vision users, recently unveiled AI-powered smart glasses that enable hands-free access and improve accessibility in daily life for users who are blind or visually impaired. Optical character recognition will be possible with these smart glasses.
Convus, a platform for OCR AI-enabled extraction from unstructured data such as images, audio, videos, and text-based documents, was recently introduced by the American startup nRoad.
