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Introduction to machine vision

The artificial machine vision industry is based on a camera pointing at an object with a certain lighting. One image is captured and processed for feature extraction.

It is a technology and methods used to provide an inspection and automated analysis based on image capture to control a process , guiding a robot, perform separation processes parts, parts manipulated and quality controls.


Different camera settings , light, optics and software distribution of elements with different capabilities are used by the process to be performed. Bookseller vision softwares allow to extract the appropriate information from the scanned image of the object so that, through one or more output signals ( eg a PLC ) , decisions can be taken as correct or incorrect part , based on the extracted information. From there you can automate the automatic rejection , relocation or recycled object, raise an alarm . You can also give values ​​of angles, measurements or other values ​​that allow decisions to other automatic robots that perform different tasks depending on the decision taken.

The conventional system is to capture 2D visible light although other methods such as 3D linear cameras or image capture either monochrome or color. From this captures the image processing is performed. Today's powerful computers allow processing while the next image is captured. This enables the movement control lines or dynamic processes.


Some of the methods of image analysis are:

Comparison with standard
Removing side gray or colored
Calculation of areas
Divide by sections
Feature Detection
Color detection
Locating defects determined
Decision logic based on data
Reading Datamatrix , barcodes and a wide variety of international codes
Reading letters ( OCR )
Measuring workpieces or parts


In Control and Machine Vision use these techniques for integrating machine vision into new or existing lines to solve the needs of the sectors of food, pharmaceuticals, cosmetics, automotive or injection molding.

To do this we have developed equipment for different applications. See our APPLICATIONS IN ARTIFICIAL VISION.

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