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CV-3000 Multi-camera Universal Machine Vision System
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Features

OCR, Preprocessing and Special Filters

Characters Are Automatically Cut Out One by One for Recognition.

For more details, download the PRODUCT CATALOG by clicking the CATALOG icon above.

OCR function [NEW]

With the OCR function, character recognition can be accomplished by just registering characters and specifying the area.
Both alphanumeric characters and user-defined characters can be identified.
The Auto calendar setting allows inspection of the date or lot numbers without the need for daily setting change.

Identifying character types printed on IC

Auto calendar setting
Functions equivalent to those of dedicated OCR machines are available, including offset, tolerance, and zero-suppress settings.
Selectable cutout setting
You can select whether to specify the cutout areas automatically or whether to fix the areas.
It is also possible to specify the ratio for the automatic area cutout setting.
Recognition level display
The level of successful character recognition is output for each character. You can check characters for which the recognition is unstable.
Identifying character types printed on IC

Simultaneous dictionary registration
In addition to alphanumeric characters, up to 20 user-defined characters (kanji, symbol, etc.) can be registered.
Simultaneous dictionary registration

Various preprocessing functions and special filters [Best in its class]

In addition to filters such as expansion, shrink, and Sobel,
color binary conversion and color shade-scale processing can be handled as a preprocessing operation. A total of 16 filters can be specified for each window.



Original image
Original image
Extraction + shrink
Extraction + shrink
Sobel
Sobel
Edge extraction X
Edge extraction X

Contrast conversion

An image can be created by assigning optimum contrast to each area.
This function is useful to change the contrast according to inspection items, or to process images with non-uniform light distribution.
Contrast conversion

Real-time Differential Processing

A captured image is analysed in real time, and only subtle differences in the image can be extracted.
Such feature point extraction, which ignores the background, is effective for the inspection of foreign matters and flaws.
Real-time differential processing
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