Intuitive Vision System

CV-5000 series

OCR, Preprocessing and Special Filters

Characters Are Extracted One by One for Recognition.

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

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 detection areas automatically or whether to fix the areas.
It is also possible to specify the ratio for the detection area.

Recognition level display

The correlation percentage of successful character recognition is output for each character. Users can check characters for unstable recognition.

Simultaneous dictionary registration

Simultaneous dictionary registration

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

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

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.

Real-time Differential Processing

Real-time differential processing

A captured image is analysed in real time, and only subtle differences in the image can be extracted.
The extraction featore, which ignores the background, is effective for the inspection of foreign matters and flaws.

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