{"id":3954,"date":"2024-05-24T15:06:47","date_gmt":"2024-05-24T19:06:47","guid":{"rendered":"https:\/\/www.1stvision.com\/machine-vision-solutions\/?p=3954"},"modified":"2024-05-24T15:06:47","modified_gmt":"2024-05-24T19:06:47","slug":"monochrome-light-better-for-machine-vision-than-white-light","status":"publish","type":"post","link":"https:\/\/www.1stvision.com\/machine-vision-solutions\/2024\/05\/monochrome-light-better-for-machine-vision-than-white-light.html","title":{"rendered":"Monochrome light better for machine vision than white light"},"content":{"rendered":"\n<p>Black and white vs. color sensor? Monochrome or polychrome light frequencies?  Visible or non-visible frequencies?  Machine vision systems builders have a lot of choices &#8211; and options!<\/p>\n\n\n\n<p>Let&#8217;s suppose you are working in the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Visible_spectrum\" target=\"_blank\" rel=\"noreferrer noopener\">visible spectrum<\/a>. You recall the rule of thumb to <a href=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/2018\/02\/how-much-resolution-do-i-lose-using-a-color-camera-in-a-mono-mode.html?siq_name=$[FNAME]$$[LNAME]$&amp;siq_email=$[EMAIL]$\" target=\"_blank\" rel=\"noreferrer noopener\">favor monochrome over color sensors<\/a> when doing measurement applications &#8211; for same sized sensors.<\/p>\n\n\n\n<p> So you&#8217;ve got a monochrome sensor that&#8217;s responsive in the range 380 &#8211; 700 nm. You put a <a href=\"https:\/\/www.1stvision.com\/knowledgebase2\/237\/?siq_name=$[FNAME]$$[LNAME]$&amp;siq_email=$[EMAIL]$\" target=\"_blank\" rel=\"noreferrer noopener\">suitable lens <\/a>on your camera matched to the resolution requirements and figure &#8220;How easy, I can just use white light!&#8221;. You might have sufficient ambient light. Or you need <a href=\"https:\/\/www.1stvision.com\/knowledgebase2\/47\/?siq_name=$[FNAME]$$[LNAME]$&amp;siq_email=$[EMAIL]$\" target=\"_blank\" rel=\"noreferrer noopener\">supplemental LED lighting<\/a> and choose white, since your target and sensor appear fine in white light &#8211; why overthink it? &#8211; you think.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"594\" height=\"372\" src=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/wp-content\/uploads\/2022\/11\/Electromagnetic-spectrum.jpg\" alt=\"\" class=\"wp-image-2660\" srcset=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/wp-content\/uploads\/2022\/11\/Electromagnetic-spectrum.jpg 594w, https:\/\/www.1stvision.com\/machine-vision-solutions\/wp-content\/uploads\/2022\/11\/Electromagnetic-spectrum-300x188.jpg 300w\" sizes=\"auto, (max-width: 594px) 100vw, 594px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Think again &#8211; monochrome may be better<\/h2>\n\n\n\n<p>Polychromatic (white) light is comprised of all the colors of the ROYGBIV visible spectrum &#8211; red, orange, yellow, green, blue, indigo, and violet &#8211; including all the hues within each of those segments of the visible spectrum. We humans perceive it as simple white light, but glass lenses and CMOS sensor pixels see things a bit differently.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Chromatic aberration is not your friend<\/h2>\n\n\n\n<p>Unless you are building prisms intended to separate white light into its constituent color groups, you&#8217;d prefer a lens that performs &#8220;perfectly&#8221; to focus light from the image onto the sensor, without introducing any loss or distortion.<\/p>\n\n\n\n<p>Lens performance in all its aspects is a worthwhile topic in its own right, but for purposes of this short article, let&#8217;s discuss<a href=\"https:\/\/en.wikipedia.org\/wiki\/Chromatic_aberration\" target=\"_blank\" rel=\"noreferrer noopener\"> chromatic aberration<\/a>.  The key point is that when light passes through a lens, it refracts (bends) differently in correlation with the wavelength.  For &#8220;coarse&#8221; applications it may not be noticeable; but trace amounts of arsenic in one&#8217;s coffee might go unnoticed too &#8211; inquiring minds want to understand when it starts to matter.<\/p>\n\n\n\n<p>Take a look at the following two-part illustration and subsequent remarks.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"584\" height=\"558\" src=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/wp-content\/uploads\/2024\/05\/Chromatic-aberration.jpg\" alt=\"\" class=\"wp-image-3958\" srcset=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/wp-content\/uploads\/2024\/05\/Chromatic-aberration.jpg 584w, https:\/\/www.1stvision.com\/machine-vision-solutions\/wp-content\/uploads\/2024\/05\/Chromatic-aberration-300x287.jpg 300w\" sizes=\"auto, (max-width: 584px) 100vw, 584px\" \/><figcaption class=\"wp-element-caption\">Transverse and longitudinal chromatic aberration &#8211; Courtesy Edmund Optics<\/figcaption><\/figure>\n<\/div>\n\n\n<p>In the illustrations above:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>C denotes red light at 656 nm<\/li>\n\n\n\n<li>d denotes  yellow light at 587 nm<\/li>\n\n\n\n<li>F denotes blue light at 486 nm<\/li>\n<\/ul>\n\n\n\n<p>Figure 1, showing transverse chromatic aberration, shows us that differing refraction patterns by wavelength shift the focal point(s).  If a given point on your imaged object reflect or emits light in two more more of the wavelengths, the focal point of one might land in a different sensor pixel than the other, creating blur and confusion on how to resolve the point.  One wants the optical system to honor the real world geometry as closely as possible &#8211; we don&#8217;t want a scatter plot generated if a single point could be attained.<\/p>\n\n\n\n<p>Figure 2 shows longitudinal chromatic aberration, which is another way of telling the same story.  The minimum blur spot is the span between whatever outermost rays correspond to wavelengths occurring in a given imaging instance.<\/p>\n\n\n\n<p>We could go deeper, beyond single lenses to compound lenses;  dig into advanced optics and how lens designers try to mitigate for chromatic aberration (since some users indeed want or need polychromatic light).  But that&#8217;s for another day.  The point here is that chromatic aberration exists, and it&#8217;s best avoided if one can.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">So what&#8217;s the solution?<\/h2>\n\n\n\n<p>The good news is that a very easy way to completely overcome chromatic aberration is to use a single monochromatic wavelength!  If your target object reflects or emits a given wavelength, to which your sensor is responsive, the lens will refract the light from a given point very precisely, with no wavelength-induced shifts.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Making it real<\/h2>\n\n\n\n<p>The illustration below shows that certain materials reflect certain wavelengths. Utilize such  known properties to generate contrast essential for machine vision applications.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"992\" height=\"481\" src=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/wp-content\/uploads\/2024\/05\/Wavelength-matters.jpg\" alt=\"\" class=\"wp-image-3963\" srcset=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/wp-content\/uploads\/2024\/05\/Wavelength-matters.jpg 992w, https:\/\/www.1stvision.com\/machine-vision-solutions\/wp-content\/uploads\/2024\/05\/Wavelength-matters-300x145.jpg 300w, https:\/\/www.1stvision.com\/machine-vision-solutions\/wp-content\/uploads\/2024\/05\/Wavelength-matters-768x372.jpg 768w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><figcaption class=\"wp-element-caption\">Red light reflects well from gold, copper, and silver &#8211; Courtesy CCS Inc.<\/figcaption><\/figure>\n<\/div>\n\n\n<p>In the illustration we see that blue light reflects well from silver (Ag) but not from copper (Cu) nor gold (Ag). Whereas red light reflects well from all three elements. The moral of the story is to use a wavelength that&#8217;s matched to what your application is looking for.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Takeaway &#8211; in a nutshell<\/h2>\n\n\n\n<p>Per the carpenter&#8217;s guidance to &#8220;measure twice &#8211; cut once&#8221;, approach each new application thoughtfully to optimize outcomes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Is the application best suited to visible or <a href=\"https:\/\/www.1stvision.com\/blog?siq_name=$[FNAME]$$[LNAME]$&amp;siq_email=$[EMAIL]$\" target=\"_blank\" rel=\"noreferrer noopener\">non-visible portions<\/a> of the spectrum?<\/li>\n\n\n\n<li>If visible,<a href=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/2018\/02\/how-much-resolution-do-i-lose-using-a-color-camera-in-a-mono-mode.html?siq_name=$[FNAME]$$[LNAME]$&amp;siq_email=$[EMAIL]$\"> is it best solved with a color sensor<\/a> or a monochrome sensor (possibly using a specific color frequency)?<\/li>\n\n\n\n<li>Avoid <a href=\"https:\/\/en.wikipedia.org\/wiki\/Chromatic_aberration\" target=\"_blank\" rel=\"noreferrer noopener\">chromatic aberration<\/a> if possible by using monochromatic light<\/li>\n\n\n\n<li>Consider<a href=\"https:\/\/www.1stvision.com\/knowledgebase2\/48\/?siq_name=$[FNAME]$$[LNAME]$&amp;siq_email=$[EMAIL]$\" target=\"_blank\" rel=\"noreferrer noopener\"> light sources<\/a> and <a href=\"https:\/\/www.1stvision.com\/knowledgebase2\/210\/?siq_name=$[FNAME]$$[LNAME]$&amp;siq_email=$[EMAIL]$\" target=\"_blank\" rel=\"noreferrer noopener\">filters<\/a>, in addition to the characteristics of your application&#8217;s substances and scenes<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"477\" height=\"84\" src=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/wp-content\/uploads\/2019\/01\/Click-to-contact-us-and-speak-to-an-industry-expert-e1559693655548.jpg\" alt=\"Click to contact\" class=\"wp-image-1242\"\/><figcaption class=\"wp-element-caption\">Give us an idea of your application and we will contact with lighting options and suggestions.<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Additional resources you may find helpful from 1stVision&#8217;s knowledge base and blog articles: (in no particular order)<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.1stvision.com\/kbdocs\/CCS-Illumination-Wavelength-guide-1stVision.pdf?siq_name=$[FNAME]$$[LNAME]$&amp;siq_email=$[EMAIL]$\" target=\"_blank\" rel=\"noreferrer noopener\">CCS Illumination Wavelength Guide<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.1stvision.com\/knowledgebase2\/48\/?siq_name=$[FNAME]$$[LNAME]$&amp;siq_email=$[EMAIL]$\" target=\"_blank\" rel=\"noreferrer noopener\">A Practical Guide to Machine Vision Lighting<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/2022\/01\/how-machine-vision-filters-create-contrast-in-machine-vision-applications.html?siq_name=$[FNAME]$$[LNAME]$&amp;siq_email=$[EMAIL]$\" target=\"_blank\" rel=\"noreferrer noopener\">How machine vision filters create contrast<\/a><\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><a href=\"https:\/\/www.1stvision.com\/contactForm?siq_name=$[FNAME]$$[LNAME]$&amp;siq_email=$[EMAIL]$\" target=\"_blank\" rel=\"noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"173\" height=\"41\" src=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/wp-content\/uploads\/2021\/05\/Contact-Us-1.jpg\" alt=\"\" class=\"wp-image-1866\"\/><\/a><\/figure>\n<\/div>\n\n\n<p><a href=\"https:\/\/www.1stvision.com\/?siq_name=$%5bFNAME%5d$%20$%5bLNAME%5d$&amp;siq_email=$%5bEMAIL%5d$\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>1st Vision\u2019s<\/strong><\/a>&nbsp;sales engineers have over 100 years of combined experience to assist in your camera and components selection.&nbsp; With a large portfolio of&nbsp;<a href=\"https:\/\/www.1stvision.com\/cameras\/industrialCameras?siq_name=$[FNAME]$$[LNAME]$&amp;siq_email=$[EMAIL]$\" target=\"_blank\" rel=\"noreferrer noopener\">cameras<\/a>,&nbsp;<a href=\"https:\/\/www.1stvision.com\/lens\/machine-vision-lenses?siq_name=$%5bFNAME%5d$%20$%5bLNAME%5d$&amp;siq_email=$%5bEMAIL%5d$\" target=\"_blank\" rel=\"noreferrer noopener\">lenses<\/a>,&nbsp;<a href=\"https:\/\/www.1stvision.com\/cameras\/accessories\/Data-cables?siq_name=$%5bFNAME%5d$%20$%5bLNAME%5d$&amp;siq_email=$%5bEMAIL%5d$\" target=\"_blank\" rel=\"noreferrer noopener\">cables<\/a>,&nbsp;<a href=\"https:\/\/www.1stvision.com\/cameras\/accessories\/NIC-cards?siq_name=$%5bFNAME%5d$%20$%5bLNAME%5d$&amp;siq_email=$%5bEMAIL%5d$\" target=\"_blank\" rel=\"noreferrer noopener\">NIC cards<\/a>&nbsp;and&nbsp;<a href=\"https:\/\/www.1stvision.com\/1stvision-industrial-computer-systems\/embedded-industrial-computer?siq_name=$%5bFNAME%5d$%20$%5bLNAME%5d$&amp;siq_email=$%5bEMAIL%5d$\" target=\"_blank\" rel=\"noreferrer noopener\">industrial computers<\/a>, we can provide a&nbsp;<a href=\"https:\/\/www.1stvision.com\/components-needed-for-machine-vision-and-industrial-imaging-systems?siq_name=$%5bFNAME%5d$%20$%5bLNAME%5d$&amp;siq_email=$%5bEMAIL%5d$\" target=\"_blank\" rel=\"noreferrer noopener\">full vision solution<\/a>!<\/p>\n\n\n\n<p><strong><u>About you:<\/u><\/strong>&nbsp;We want to hear from you!&nbsp; We\u2019ve built our brand on our know-how and like to educate the marketplace on imaging technology topics\u2026&nbsp; What would you like to hear about?\u2026 Drop a line to info@1stvision.com with what topics you\u2019d like to know more about.&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Black and white vs. color sensor? Monochrome or polychrome light frequencies? Visible or non-visible frequencies? Machine vision systems builders have a lot of choices &#8211; and options! Let&#8217;s suppose you are working in the visible spectrum. You recall the rule of thumb to favor monochrome over color sensors when doing measurement applications &#8211; for same &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/2024\/05\/monochrome-light-better-for-machine-vision-than-white-light.html\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Monochrome light better for machine vision than white light&#8221;<\/span><\/a><\/p>\n","protected":false},"author":10,"featured_media":3958,"comment_status":"closed","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[109],"tags":[],"class_list":["post-3954","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-lighting"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Monochrome light better for machine vision than white light<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/2024\/05\/monochrome-light-better-for-machine-vision-than-white-light.html\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Monochrome light better for machine vision than white light\" \/>\n<meta property=\"og:description\" content=\"Black and white vs. color sensor? Monochrome or polychrome light frequencies? Visible or non-visible frequencies? Machine vision systems builders have a lot of choices &#8211; and options! Let&#8217;s suppose you are working in the visible spectrum. You recall the rule of thumb to favor monochrome over color sensors when doing measurement applications &#8211; for same &hellip; Continue reading &quot;Monochrome light better for machine vision than white light&quot;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/2024\/05\/monochrome-light-better-for-machine-vision-than-white-light.html\" \/>\n<meta property=\"og:site_name\" content=\"1stVision Inc. - Machine Vision Articles\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/pages\/1st-Vision\/944658058935262?fref=ts\" \/>\n<meta property=\"article:published_time\" content=\"2024-05-24T19:06:47+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.1stvision.com\/machine-vision-solutions\/wp-content\/uploads\/2024\/05\/Chromatic-aberration.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"584\" \/>\n\t<meta property=\"og:image:height\" content=\"558\" \/>\n\t<meta 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