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OCR

OCR (Optical Character Recognition) is a fundamental technology in artificial intelligence and machine vision. It converts printed or handwritten text into a digital format, making it readable and accessible for further processing.

LEARNING

The main goal of the OCR algorithm is to recognize and interpret text in an image, accurately and automatically extracting alphanumeric characters and converting them into digital text.

CHARACTER RECOGNITION

Once character recognition is performed, the OCR algorithm provides the extracted digital text, allowing it to be used for a wide range of applications.

EXTREMELY ADVANTAGEOUS

The use of the OCR algorithm is extremely advantageous for speeding up processes such as archiving, accounting, or reading and verifying the integrity of labels, barcodes, or product serial numbers.

Applications

CODE READING

OCR can be used to recognize and verify markings or labels on products in real-time, such as reading barcodes, QR codes, or printed text on products.

LABEL RECOGNITION

In the food or pharmaceutical industry, OCR can be used to read and recognize labels on product packaging, ensuring that labels contain correct information regarding ingredients, expiration dates, and usage instructions.

ELECTRONIC COMPONENTS

OCR can identify and recognize text on boards or components in the electronics industry, verifying serial numbers, technical specifications, or other critical details on components.
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