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OCR/OCV (Optical Character Recognition/Optical Character Verification) Inspection is a technology used
in the field of automation and quality control. It involves the use of specialized machines and software
to accurately read and verify text or numbers printed on various objects or parts. By employing advanced
imaging techniques, OCR/OCV Inspection systems can quickly and reliably identify and validate
characters, ensuring the accuracy and quality of printed information.
The vision inspection machine captures high-resolution images of the object or part to be inspected.
This can be done using cameras or other imaging devices.The segmented characters or words are subjected
to OCR/OCV algorithms that analyze and interpret the visual patterns to recognize and verify the text.
These algorithms employ pattern matching, feature extraction, and machine learning techniques to achieve
accurate character recognition and verification.
In OCV inspection, the recognized characters are compared against predefined patterns or templates to
validate their accuracy. This step ensures that the characters meet specific quality standards, such as
font type, size, or shape.
Based on the OCR/OCV analysis, the vision inspection machine determines whether the inspected text or
characters meet the required criteria. The inspection machine can generate pass/fail results or provide
detailed information about the recognized text.
OCR/OCV inspection in vision inspection machines enables automated and reliable identification of text or characters on parts, labels, packaging, or other objects. It ensures accurate data capture, minimizes errors, and enhances productivity.
