Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from CIO Applications

Thank you for Subscribing to CIO Applications Weekly Brief

Machine vision technologies are widespread, particularly in assembly lines and other automated production processes. Its systems enable an organization to reduce the number of time workers spend on a variety of tasks.

FREMONT, CA: Computer vision, often known as machine vision, is one of the most exciting artificial intelligence applications. The ability of algorithms to comprehend still images and moving video is a critical technological foundation for numerous innovations, including autonomous, self-driving vehicles, intelligent industrial machinery, and even the filters on your smartphone. It makes the photos you upload to Instagram look prettier.

Machine vision systems are assemblages of integrated electronic components, computer hardware, and software algorithms that provide operational direction by evaluating the acquired images of their environment. The information gathered by the vision system is utilized to regulate and automate a process or inspect a product or substance.

Numerous manufacturing industries utilize machine vision systems to conduct boring, repetitive, taxing, and time-consuming operations, resulting in greater productivity and decreased operational costs. For instance, a machine vision system may inspect hundreds of thousands of parts in a production line each minute. Human workers can also conduct a similar type of inspection, but it is significantly slower, more expensive, and prone to errors, and not all parts can be checked offline due to time constraints.

Machine vision systems improve product quality and manufacturing efficiency by delivering accurate, consistent detection, verification, and measurement systems. They can assist uncover flaws earlier in the manufacturing process, thereby preventing the creation and distribution of defective products. They enhance the traceability and compliance with regulations and specifications of industrial products and materials.

Machine vision systems can deliver novel and rapid solutions by automating operations in industrial processes. Machine vision systems utilize the following image processing techniques:

Existence inspection is the process of establishing the presence or absence of pieces and their quantities. It is one of the fundamental functions of machine vision systems and the most common task in most industries. Countable products (e.g., bottles, screws) and checking the presence of labels on food packaging, electrical components on PCBs, adhesive application, and screws/washers in fixed parts are practical applications of presence inspection.

The binary processing of monochromatic images facilitates decision-making and vision processing by converting them into black-and-white pixels. A certain threshold determines each pixel's conversion.

The binary-processed, digitized image is subsequently evaluated using Blob analysis. A blob is a synonym for "lump." A blob in blob analysis is a grouping of pixels with the same color. The digitized image is mapped onto a coordinate system, and each bump's X and Y coordinates are calculated and examined.

Blob analysis is utilized for various tasks, including counting (based on area), measuring length and area, locating the target's position in space, differentiating the orientation of targets, and inspecting defects, among others.

Additional picture processing and analysis methods include:

Programming a certain objective into the visual processing unit beforehand. The computer will search the image for targets that resemble the registered target.

Analysis based on the distinction of colors This technique provides a more accurate judgment.

Positioning compares the location and orientation of a component to a specified spatial tolerance. A robot or machine element receives the component's position and orientation in 2D or 3D space for alignment or positioning of the target in the right position or orientation. Inspection, alignment, and positioning by hand are more accurate and time-consuming than machine vision positioning solutions. Positioning applications include the robotic pick-up and placement of components on and off the conveyor belt, the positioning of glass substrates, the verification of barcode and label alignment, the verification of IC placement in PCBs, and the arrangement of palletized components.

I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

Copyright © 2022 CIOApplications. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy Policy |   Sitemap  |   Subscribe |   About Us

However, if you would like to share the information in this article, you may use the link below:

https://www.cioapplications.com/news/competency-of-machine-vision-systems-nid-10209.html