Machine vision is increasingly used in industry

Machine vision is increasingly used in industry. It is possible to meet him in robotics and on common production lines, where he replaces human resources in the production process.

The direction of machine vision development is still determined by the automotive industry and other series productions, such as the food and pharmaceutical industries, where the control of each manufactured part is replaced by statistical quality evaluation almost everywhere.

However, machine vision is also spreading to other areas of industry and services.

Machine vision is a new field of sensorics that combines modern means of acquisition, digitization and image processing with the help of computer technology. This is close to the evaluation of the reality that a person performs. What can be seen can also be checked, measured and evaluated.

The number of machine vision applications in industry is constantly growing. The main reason for this growth is the fact that machine vision reduces the cost of your projects at all stages.

Most customers in the industry (not just the automotive industry) require high-quality parts or products. Statistical acceptance is no longer enough to check quality, the only option is to check every piece produced. The only effective way to do this is through machine vision systems.

Machine vision wiki

Image capture is faster than applying gauges or gauges, it is the only means by which inspection can be performed in belt production.

The machine vision system allows you to perform up to dozens of checks and measurements on a single captured image of the unit. By reading the text or code on the product, you can find out if we are checking the really right part with the right procedure.

There is no need to modify the production equipment for machine vision inspection. In most cases, a place can be found for the camera and lighting where it does not interfere with the production operation. Due to the short exposure time of modern cameras, it is not even necessary to change the timing of the operating cycle.

Machine vision systems allow direct connection to a machine, production line, automatic control system or control system. The production process can be controlled directly according to the inspection results. Control procedures can be modified automatically from the control system.

According to DZOptics, different types of products can be tested on one machine vision control device. For another type of manufactured part, all you have to do is change the software parameters. Current machine vision systems use intuitive development environments (link) in which control procedures can be easily developed and modified.

• very fast
• universal
• contactless
• automated
• flexible

Machine vision applications

Piece counting, completeness check and packaging

In the food industry, machine vision can check the level in the bottle as well as the correct fitting of the stopper. The pharmaceutical industry takes the opportunity to find out if the right number of tablets is in the pack in the blister. It is also possible to check the completeness and correctness of the contents of the box or box before closing.

Inspection of product assembly and assembly

As before assembly, it is often necessary to check the assembled product itself if all its parts are in place and in the correct position. They don't even have to be typical machine parts. A common task is to check that the wire is crimped into the connector, to sew the patch correctly or to check that the fuse box is fitted with the correct fuses.

Color identification

In many cases, a color camera can replace much more expensive spectrometry. It can be used to check whether the correct color has been applied correctly for printing or coating or whether the part is made of the prescribed plastic. In the food industry, spoiled goods can be detected by color analysis.

Shape and position recognition

For proper assembly, make sure that the correct part is used. An inscription, code or characteristic can be used for identification. Prior to mounting, the part must be positioned correctly, for example it must not be turned sideways. All this can be done by machine vision.

Reading and verification of codes

Barcode or matrix identification is important in automated assembly, especially in the automotive industry. The machine vision camera provides this identification even without the use of an additional scanner. Machine vision is also the best means of verifying code after it has been created. Verification ensures that the code conforms to a prescribed standard and all of its features, such as redundancy, can be used.

Reading texts

By reading the date and text with machine vision, it is possible to avoid the dispatch of goods with an expired expiration date. What's more, filling the packaging with content other than that indicated on it or affixing a label other than that prescribed. Reading the inscription will also ensure that similar parts are not confused during assembly.

Surface inspection

Mechanical damage to edges, scratching of surfaces, defects in paints and other surface treatments. Imperfect print, damaged sticker and unetched logo. Bubbles in glass and plastics, a discontinuous layer of applied glue or a broken bead of sealant. These are defects that can be easily identified with machine vision.

Function testing

There are applications where you need to visually check the display, control lights or the position of the component depending on the function of the device. Machine vision easily detects whether the value on both the LED display and the LCD corresponds to the desired value.

Measurement and control of tolerances

Everything we see in a digitized image can be measured using machine vision tools. The most common task is to check tolerances - hole diameters, shaft projections, hole spacing, cone bevels and threads.

Finding defects of metal and plastic moldings

Burrs after cutting and pressing metal parts or imperfect plastic moldings, these are defects detectable by machine vision as well as deformation or damage during storage or transport. In electrical engineering production, checking soldering on a printed circuit board or checking the correct placement of SMD components is a common requirement.

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