We are independent & ad-supported. We may earn a commission for purchases made through our links.
Advertiser Disclosure
Our website is an independent, advertising-supported platform. We provide our content free of charge to our readers, and to keep it that way, we rely on revenue generated through advertisements and affiliate partnerships. This means that when you click on certain links on our site and make a purchase, we may earn a commission. Learn more.
How We Make Money
We sustain our operations through affiliate commissions and advertising. If you click on an affiliate link and make a purchase, we may receive a commission from the merchant at no additional cost to you. We also display advertisements on our website, which help generate revenue to support our work and keep our content free for readers. Our editorial team operates independently of our advertising and affiliate partnerships to ensure that our content remains unbiased and focused on providing you with the best information and recommendations based on thorough research and honest evaluations. To remain transparent, we’ve provided a list of our current affiliate partners here.

Our Promise to you

Founded in 2002, our company has been a trusted resource for readers seeking informative and engaging content. Our dedication to quality remains unwavering—and will never change. We follow a strict editorial policy, ensuring that our content is authored by highly qualified professionals and edited by subject matter experts. This guarantees that everything we publish is objective, accurate, and trustworthy.

Over the years, we've refined our approach to cover a wide range of topics, providing readers with reliable and practical advice to enhance their knowledge and skills. That's why millions of readers turn to us each year. Join us in celebrating the joy of learning, guided by standards you can trust.

What are Machine Vision Tools?

Malcolm Tatum
Updated: May 16, 2024

Machine vision tools are a means of identifying the what allows a computer to read visual displays. Considered the visual equivalent of voice recognition, machine vision will employ one or more video cameras, and ADC (analog to digital conversion) and DSP (digital signal processing) components. The data received by use of these tools is routed to a controller, making it possible for the computer to “see” the data.

Machine vision, like many different types of vision systems, takes into consideration two important aspects of relaying the visual data. First, there is the issue of sensitivity to light conditions. The tools utilized to achieve machine vision must provide the ability to capture the data even in dim light, as well as detect impulses at invisible wavelengths that are decidedly weak. Second, machine vision tools are concerned with resolution. The capturing and processing of visual data requires that all objects within the range of view are clearly delineated. Achieving the ideal mix between sensitivity and resolution requires some adjustment from one instance to the next.

Machine vision takes in the entire range of electromagnetic wavelengths that is viewable to the human eye, and expands on that range. It is not unusual for a machine vision system to make use of infrared, ultraviolet, and X-ray wavelengths in order to achieve the correct balance of resolution and sensitivity. The process of capturing the visual data may be enhance by the presence of artificial intelligence to sharpen the depth of the objects, as well as the use of high-resolution video cameras to increase the overall quality of the data.

The use of machine vision tools today is common with many types of industrial and medical applications. Machine vision has proven to be very helpful when there is a need to identify counterfeit objects, such as a forged signature or counterfeit currency. Handwriting analysis is another function that has benefited greatly from the advances in machine vision. The textile industry employs machine vision as a means of inspecting pattern and dye consistency on fabrics and materials produced. Machine vision has also enhanced the ability to capture images for use in diagnosing medical issues.

EasyTechJunkie is dedicated to providing accurate and trustworthy information. We carefully select reputable sources and employ a rigorous fact-checking process to maintain the highest standards. To learn more about our commitment to accuracy, read our editorial process.
Malcolm Tatum
By Malcolm Tatum
Malcolm Tatum, a former teleconferencing industry professional, followed his passion for trivia, research, and writing to become a full-time freelance writer. He has contributed articles to a variety of print and online publications, including EasyTechJunkie, and his work has also been featured in poetry collections, devotional anthologies, and newspapers. When not writing, Malcolm enjoys collecting vinyl records, following minor league baseball, and cycling.
Discussion Comments
Malcolm Tatum
Malcolm Tatum
Malcolm Tatum, a former teleconferencing industry professional, followed his passion for trivia, research, and writing...
Learn more
EasyTechJunkie, in your inbox

Our latest articles, guides, and more, delivered daily.

EasyTechJunkie, in your inbox

Our latest articles, guides, and more, delivered daily.