{"id":23089,"date":"2025-01-17T13:59:32","date_gmt":"2025-01-17T12:59:32","guid":{"rendered":"https:\/\/www.tpl-vision.com\/applications\/illuminating-the-future-how-ai-and-machine-vision-lighting-are-transforming-manufacturing\/"},"modified":"2026-03-09T17:37:34","modified_gmt":"2026-03-09T16:37:34","slug":"illuminating-the-future-how-ai-and-machine-vision-lighting-are-transforming-manufacturing","status":"publish","type":"post","link":"https:\/\/www.tpl-vision.com\/de\/wissensbereich\/illuminating-the-future-how-ai-and-machine-vision-lighting-are-transforming-manufacturing\/","title":{"rendered":"Illuminating the Future: How AI and Machine Vision Lighting are Transforming Manufacturing"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"23089\" class=\"elementor elementor-23089 elementor-19870\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-33bc1d65 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href=\"https:\/\/www.tpl-vision.com\/wp-content\/plugins\/elementor-pro\/assets\/css\/widget-theme-elements.min.css\">\t\t<ul class=\"elementor-inline-items elementor-icon-list-items elementor-post-info\">\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-repeater-item-69f0b0b elementor-inline-item\" itemprop=\"datePublished\">\n\t\t\t\t\t\t<a href=\"https:\/\/www.tpl-vision.com\/de\/2025\/01\/17\/\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-calendar\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text elementor-post-info__item elementor-post-info__item--type-date\">\n\t\t\t\t\t\t\t\t\t\tJanuar 17, 2025\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t<\/li>\n\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41bd4164 elementor-share-buttons--view-icon elementor-share-buttons--shape-rounded 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aria-hidden=\"true\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-grid-item\">\n\t\t\t\t\t\t<div\n\t\t\t\t\t\t\tclass=\"elementor-share-btn elementor-share-btn_twitter\"\n\t\t\t\t\t\t\trole=\"button\"\n\t\t\t\t\t\t\ttabindex=\"0\"\n\t\t\t\t\t\t\taria-label=\"Share on twitter\"\n\t\t\t\t\t\t>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-share-btn__icon\">\n\t\t\t\t\t\t\t\t<i class=\"fab fa-twitter\" aria-hidden=\"true\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-grid-item\">\n\t\t\t\t\t\t<div\n\t\t\t\t\t\t\tclass=\"elementor-share-btn elementor-share-btn_print\"\n\t\t\t\t\t\t\trole=\"button\"\n\t\t\t\t\t\t\ttabindex=\"0\"\n\t\t\t\t\t\t\taria-label=\"Share on print\"\n\t\t\t\t\t\t>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-share-btn__icon\">\n\t\t\t\t\t\t\t\t<i class=\"fas fa-print\" aria-hidden=\"true\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2cca48b0 elementor-widget-divider--view-line_icon elementor-view-default elementor-widget-divider--element-align-center elementor-widget elementor-widget-divider\" data-id=\"2cca48b0\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.19.0 - 07-02-2024 *\/\n.elementor-widget-divider{--divider-border-style:none;--divider-border-width:1px;--divider-color:#0c0d0e;--divider-icon-size:20px;--divider-element-spacing:10px;--divider-pattern-height:24px;--divider-pattern-size:20px;--divider-pattern-url:none;--divider-pattern-repeat:repeat-x}.elementor-widget-divider .elementor-divider{display:flex}.elementor-widget-divider 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.elementor-divider-separator,.elementor-widget-divider--separator-type-pattern:not(.elementor-widget-divider--view-line) .elementor-divider-separator:after,.elementor-widget-divider--separator-type-pattern:not(.elementor-widget-divider--view-line) .elementor-divider-separator:before,.elementor-widget-divider--separator-type-pattern:not([class*=elementor-widget-divider--view]) .elementor-divider-separator{width:100%;min-height:var(--divider-pattern-height);-webkit-mask-size:var(--divider-pattern-size) 100%;mask-size:var(--divider-pattern-size) 100%;-webkit-mask-repeat:var(--divider-pattern-repeat);mask-repeat:var(--divider-pattern-repeat);background-color:var(--divider-color);-webkit-mask-image:var(--divider-pattern-url);mask-image:var(--divider-pattern-url)}.elementor-widget-divider--no-spacing{--divider-pattern-size:auto}.elementor-widget-divider--bg-round{--divider-pattern-repeat:round}.rtl .elementor-widget-divider .elementor-divider__text{direction:rtl}.e-con-inner>.elementor-widget-divider,.e-con>.elementor-widget-divider{width:var(--container-widget-width,100%);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon elementor-divider__element\">\n\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-code-branch\"><\/i><\/div>\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1efb4517 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1efb4517\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wide\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-68c3df5a\" data-id=\"68c3df5a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-68bce901 elementor-widget elementor-widget-text-editor\" data-id=\"68bce901\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.19.0 - 07-02-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>From the wide use of robotics to <strong>Artificial Intelligence (AI)<\/strong>, advancing technology is revolutionising the way products are designed, made, and delivered. In this article, we will explore how AI is shaping the future of manufacturing, which applications should consider using AI, and how machine vision lighting can optimise manufacturing processes. <\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-6043b46f\" data-id=\"6043b46f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-89fe592 elementor-widget elementor-widget-image\" data-id=\"89fe592\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.19.0 - 07-02-2024 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"534\" src=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2025\/01\/AI-laptop.jpg\" class=\"attachment-large size-large wp-image-19899\" alt=\"Close up of a hand on a laptop keyboard with HTML code and digital interface overlay representing web development\" srcset=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2025\/01\/AI-laptop.jpg 1000w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2025\/01\/AI-laptop-300x200.jpg 300w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2025\/01\/AI-laptop-768x512.jpg 768w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2025\/01\/AI-laptop-600x400.jpg 600w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2025\/01\/AI-laptop-175x117.jpg 175w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2025\/01\/AI-laptop-40x27.jpg 40w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2025\/01\/AI-laptop-55x37.jpg 55w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2025\/01\/AI-laptop-100x67.jpg 100w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4add9c1c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4add9c1c\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1c0432a2\" data-id=\"1c0432a2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-380ea087 elementor-widget elementor-widget-spacer\" data-id=\"380ea087\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.19.0 - 07-02-2024 *\/\n.elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container{height:100%;width:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))}.e-con-inner>.elementor-widget-spacer.elementor-widget-empty,.e-con>.elementor-widget-spacer.elementor-widget-empty{position:relative;min-height:22px;min-width:22px}.e-con-inner>.elementor-widget-spacer.elementor-widget-empty .elementor-widget-empty-icon,.e-con>.elementor-widget-spacer.elementor-widget-empty .elementor-widget-empty-icon{position:absolute;top:0;bottom:0;left:0;right:0;margin:auto;padding:0;width:22px;height:22px}<\/style>\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1be4841e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1be4841e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wide\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-29aabe61\" data-id=\"29aabe61\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7c6c058 elementor-widget elementor-widget-heading\" data-id=\"7c6c058\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.19.0 - 07-02-2024 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Rule Based vs Machine Vision<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-62637f00 elementor-widget elementor-widget-text-editor\" data-id=\"62637f00\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Automation involves the use of machines and technology to perform repetitive and labour-intensive tasks. These systems are programmed to follow a set of predefined instructions for tasks like quality control, visual inspection, barcode reading, assembly and packaging. <\/p>\n<p>Traditional <strong>rule-based machine vision<\/strong> relies on specific if-then rules to make decisions about an image. They are suitable for predictable environments because they lack the ability to adapt to changing conditions or learn from new data. Vision engineers program these rules with deep knowledge of the best techniques to achieve the desired output.  <\/p>\n<p><strong>Artificial Intelligence<\/strong> systems train the software with labelled images until it can make distinctions independently. These <strong>AI-powered<\/strong> solutions learn, adapt, identify patterns and make decisions based on insights gained from <strong>previous experiences<\/strong>. <\/p>\n<p>Currently, the global AI market is valued at over <strong>$180 billion<\/strong>, with projections indicating it will <strong>surpass $826 billion by 2030<\/strong> (Thormundsson, 2024). Two prominent AI technologies, <a href=\"https:\/\/www.tpl-vision.com\/de\/gesellschaft\/lexikon\/#Ee\"><em>edge learning<\/em><\/a> and <a href=\"https:\/\/www.tpl-vision.com\/de\/gesellschaft\/lexikon\/#Dd\"><em>deep learning<\/em><\/a>, further streamline the automation of complex tasks that are challenging to program with rule-based algorithms. <\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-29a4db39 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"29a4db39\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wide\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-33ad020a\" data-id=\"33ad020a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b28906e elementor-widget elementor-widget-heading\" data-id=\"b28906e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How can I tell if I should use AI?<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3bc1d52b elementor-widget elementor-widget-text-editor\" data-id=\"3bc1d52b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The difference between <strong>rule-based<\/strong> and <strong>AI-based<\/strong> vision lies in their approach to analysing and interpreting visual data. <strong>Rule-based machine vision<\/strong> operates on a set of predefined rules and parameters, typically set by a vision expert, to identify and classify objects in an image.<\/p>\n<p>Alternatively, <strong>AI-based systems<\/strong> can autonomously learn and adapt to different scenarios. These systems can handle <strong>complex<\/strong> and <strong>dynamic environments<\/strong>, offering more flexibility and scalability. It excels in tasks such as surface inspection, texture inspection and object classification, especially when dealing with evolving defects and diverse visual characteristics.  <\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3589f7a0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3589f7a0\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wide\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-7a64fdc4\" data-id=\"7a64fdc4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-48db558 elementor-widget elementor-widget-text-editor\" data-id=\"48db558\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>To determine if your application needs Artificial Intelligence learning, <\/strong><strong>consider these factors:<\/strong><\/p>\n<ul>\n<li><strong>Variability<\/strong> of the objects to be inspected<\/li>\n<li><strong>Availability<\/strong> of high-quality image data for training<\/li>\n<li>The need for <strong>adaptability<\/strong> to changing conditions<\/li>\n<\/ul>\n<p>If your application involves dynamic environments or requires continuous improvement without manual intervention, <strong>AI-based machine vision<\/strong> may be the preferable choice. Additionally, consider how <strong>machine vision lighting<\/strong> systems can support accurate and reliable image acquisition in such scenarios. <\/p>\n<p>While <strong>AI-based systems<\/strong> offer <strong>greater flexibility<\/strong> and <strong>adaptability<\/strong>, they require significant initial investment in data collection, training, and development. Conversely, <strong>rule-based systems<\/strong> can be <strong>simpler to implement<\/strong>, but may become more complex and difficult to manage. Ultimately, users should always evaluate their specific needs and goals with an expert to determine the most suitable approach for their applications.  <\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-55d4bd6f\" data-id=\"55d4bd6f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4dfcac30 elementor-widget elementor-widget-image\" data-id=\"4dfcac30\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/elementor\/thumbs\/AI-sat-at-pc-r01hn8mj2dlqy58vh2fxfrmsq71zwobgpc1xu8w826.jpg\" title=\"AI sat at pc\" alt=\"Developer wearing headphones coding at night with data and code displayed on a large monitor and projected on the wall\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3ff6d87 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3ff6d87\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wide\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cde2a18\" data-id=\"cde2a18\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-504b9d4 elementor-widget elementor-widget-heading\" data-id=\"504b9d4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Deep Learning vs Edge Learning<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-91cff8e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"91cff8e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wide\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3ac175a\" data-id=\"3ac175a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c3c32ad elementor-widget elementor-widget-text-editor\" data-id=\"c3c32ad\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Within <strong>AI applications<\/strong>, edge learning prioritises ease of use throughout every deployment stage. Compared to <strong>deep learning<\/strong>, it needs fewer images to train, reducing the time required for image setup and acquisition, and eliminates the need for specialised programming. <\/p>\n<p><strong>Deep learning<\/strong> mimics the way human brain neurons interact. It involves exposing numerous layers of <a href=\"https:\/\/www.tpl-vision.com\/de\/gesellschaft\/lexikon\/\"><em>neural networks<\/em><\/a> to a large collection of similar images. Through iterative adjustments of these connections, deep learning can accurately <strong>recognise objects<\/strong> and <strong>detect defects<\/strong> without explicit instructions.  <\/p>\n<p><strong>Deep learning<\/strong> excels at processing extensive and very detailed image sets, making it suitable for complex or highly custom applications. Deep learning can swiftly and efficiently analyse large image sets, providing an effective solution for <strong>automating intricate tasks<\/strong>. <\/p>\n<p><strong>Edge learning<\/strong> tools can be trained in mere minutes with just five to ten images, in contrast to deep learning solutions, which might require extended periods of training and hundreds to thousands of images. This <strong>simplification of deployment<\/strong> allows manufacturers to scale operations much quicker. <\/p>\n<p>To optimise edge learning for <strong>embedded vision systems<\/strong>, training images are downscaled or focused on specific regions of interest. However, this restricts the use of edge learning in advance and precise defect detection applications, which are better addressed by <strong>traditional deep learning<\/strong> solutions. <\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3a086fb elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3a086fb\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wide\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0b23691\" data-id=\"0b23691\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a194652 elementor-widget elementor-widget-heading\" data-id=\"a194652\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Deep Learning Workflow<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-eac9faf elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"eac9faf\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wide\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-2b02521\" data-id=\"2b02521\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-93f6ca8 elementor-widget elementor-widget-image\" data-id=\"93f6ca8\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/elementor\/thumbs\/3d-low-poly-abstract-background-with-shallow-depth-field-scaled-r01h0w0ok70avxplzena5eo88d7svrl8apmb1e188g.jpg\" title=\"3D low poly abstract background with shallow depth of field\" alt=\"3D render of a low poly abstract background with shallow depth of field\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-db09a50\" data-id=\"db09a50\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f89acb9 elementor-widget elementor-widget-text-editor\" data-id=\"f89acb9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-family: Aptos, sans-serif; font-size: 12pt;\">The AI workflow for deep learning classification includes four stages:<\/span><\/p>\n<p><b style=\"font-family: 'Times New Roman', serif; font-size: 12pt;\"><span style=\"font-family: Aptos, sans-serif;\">Preparation: Acquire, Label &amp; Review Data<\/span><\/b><\/p>\n<ul>\n<li>Collect image data under conditions similar to the live application.<\/li>\n<li><span style=\"font-family: Aptos, sans-serif;\">Label each object in the dataset consistently and accurately.<\/span><\/li>\n<li>Review and correct mislabelled data using software.<\/li>\n<\/ul>\n<p><b><span style=\"font-family: Aptos, sans-serif;\">Training<\/span><\/b><\/p>\n<ul>\n<li><span style=\"font-family: Aptos, sans-serif;\">Export the prepared data.<\/span><\/li>\n<li><span style=\"font-family: Aptos, sans-serif;\">Use software to analyse the images and automatically learn identifying features.<\/span><\/li>\n<li><span style=\"font-family: Aptos, sans-serif;\">Train a classifier based on pre-trained Convolutional Neural Networks (CNNs).<\/span><\/li>\n<\/ul>\n<p><b><span style=\"font-family: Aptos, sans-serif;\">Evaluation: Verify the Model on Test Data<\/span><\/b><\/p>\n<ul>\n<li><span style=\"font-family: Aptos, sans-serif;\">Verify model performance using visualisation options (confusion matrices and heat-maps) to assess true and false positives and understand the network\u2019s decision-making areas.<\/span><\/li>\n<\/ul>\n<p><b><span style=\"font-family: Aptos, sans-serif;\">Inference: Deploy to New Live Images<\/span><\/b><\/p>\n<ul>\n<li><span style=\"font-family: Aptos, sans-serif;\">Apply the trained CNN classifier to new images to identify classes such as scratched, contaminated, or good samples.<\/span><\/li>\n<li><span style=\"font-family: Aptos, sans-serif;\">Execute inference on GPUs or CPUs for real-time application.<\/span><\/li>\n<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6bcac7c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6bcac7c\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wide\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fc94433\" data-id=\"fc94433\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c47152a elementor-widget elementor-widget-heading\" data-id=\"c47152a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Illumination for AI Applications<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4cf6ca7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4cf6ca7\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wide\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fc68e92\" data-id=\"fc68e92\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e20804a elementor-widget elementor-widget-text-editor\" data-id=\"e20804a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-family: Aptos, sans-serif;\">While AI continues to <strong>revolutionise automation<\/strong>, it remains one among many tools operators can use to accomplish tasks. AI systems depend heavily on the hardware and training data, underscoring the critical nature of the training process. Even minor changes in <strong>environmental conditions<\/strong>, such as <strong>lighting variations<\/strong>, can significantly impact the system\u2019s performance.  <\/span><\/p>\n<p style=\"margin: 0cm; font-size: 12pt; font-family: 'Times New Roman', serif;\"><span style=\"font-family: Aptos, sans-serif; font-size: 12pt;\">General considerations for AI applications include <strong>leveraging machine vision lighting <\/strong>systems and <strong>optimising illumination<\/strong> in AI applications. This enhances accuracy and stability which is critical for ensuring consistent results. <\/span><\/p>\n<ul>\n<li style=\"font-size: 12pt; font-family: 'Times New Roman', serif;\"><b><span style=\"font-family: Aptos, sans-serif;\">Stable illumination<\/span><\/b><\/li>\n<\/ul>\n<p style=\"margin: 0cm; font-size: 12pt; font-family: 'Times New Roman', serif;\"><span style=\"font-family: Aptos, sans-serif;\">Illumination should be considered early on to avoid having to retrain the vision system due to environmental changes. This will minimise variations in image quality, which can lead to false classification results. <\/span><\/p>\n<ul>\n<li style=\"font-size: 12pt; font-family: 'Times New Roman', serif;\"><b><span style=\"font-family: Aptos, sans-serif;\">Uniformity<\/span><\/b><\/li>\n<\/ul>\n<p style=\"margin: 0cm; font-size: 12pt; font-family: 'Times New Roman', serif;\"><span style=\"font-family: Aptos, sans-serif;\">It is important that illumination is uniform for the best results in image quality and for processes to work at their fastest rate.<\/span><\/p>\n<ul>\n<li style=\"font-size: 12pt; font-family: 'Times New Roman', serif;\"><b><span style=\"font-family: Aptos, sans-serif;\">Intensity<\/span><\/b><\/li>\n<\/ul>\n<p style=\"margin: 0cm; font-size: 12pt; font-family: 'Times New Roman', serif;\"><span style=\"font-family: Aptos, sans-serif;\">The intensity of the illumination should be sufficient to provide clear and detailed images without causing glare or reflections that can affect the accuracy of the analysis.<\/span><\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-aba43bd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"aba43bd\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wide\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-93b4959\" data-id=\"93b4959\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1747dc5 elementor-widget elementor-widget-text-editor\" data-id=\"1747dc5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p style=\"margin: 0cm; font-size: 12pt; font-family: 'Times New Roman', serif;\"><span style=\"font-family: Aptos, sans-serif; font-size: 12pt;\"><strong>Examples of lighting technologies include:<\/strong> Bar lights for wide, uniform illumination, ring lights for shadow-free lighting around objects, and diffused backlights for enhancing contrast in silhouette imaging. These solutions are essential to ensure <strong>optimal performance<\/strong> in <strong>AI-driven systems<\/strong>, particularly in applications requiring consistent and high-quality image acquisition. <\/span><\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-814bbda elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"814bbda\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wide\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9f70e8b\" data-id=\"9f70e8b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-06a6a23 elementor-widget elementor-widget-text-editor\" data-id=\"06a6a23\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p style=\"margin: 0cm; font-size: 12pt; font-family: 'Times New Roman', serif;\"><span style=\"font-family: Aptos, sans-serif; font-size: 12pt;\"><strong>Sources:<\/strong> <em>Thormundsson, B. (2024). Artificial intelligence (AI) market size worldwide from 2020 to 2030.  https:\/\/www.statista.com\/forecasts\/1474143\/global-ai-market-size<\/em><\/span><\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4d9145f6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4d9145f6\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3ee07068\" data-id=\"3ee07068\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-57da6569 elementor-widget-divider--view-line_icon elementor-view-default elementor-widget-divider--element-align-center elementor-widget elementor-widget-divider\" data-id=\"57da6569\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon elementor-divider__element\">\n\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-code-branch\"><\/i><\/div>\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-129e4690 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"129e4690\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-771ec8cd\" data-id=\"771ec8cd\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d521736 elementor-widget elementor-widget-heading\" data-id=\"d521736\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Related products<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4e795dcd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4e795dcd\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-79918e16\" data-id=\"79918e16\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-391f7cf0 elementor-grid-4 elementor-grid-tablet-3 elementor-grid-mobile-2 elementor-products-grid elementor-wc-products elementor-widget elementor-widget-woocommerce-products\" data-id=\"391f7cf0\" data-element_type=\"widget\" data-widget_type=\"woocommerce-products.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<link rel=\"stylesheet\" href=\"https:\/\/www.tpl-vision.com\/wp-content\/plugins\/elementor-pro\/assets\/css\/widget-woocommerce.min.css\"><div class=\"woocommerce columns-4 \"><ul class=\"products elementor-grid columns-4\">\n<li class=\"product type-product post-2221 status-publish first instock product_cat-dom-beleuchtungen product_cat-dom-beleuchtungen-2 has-post-thumbnail shipping-taxable purchasable product-type-simple\">\n\t<a href=\"https:\/\/www.tpl-vision.com\/de\/uberblick\/dom-beleuchtungen\/dom-beleuchtungen-2\/mr-dome\/\" class=\"woocommerce-LoopProduct-link woocommerce-loop-product__link\"><img decoding=\"async\" width=\"360\" height=\"360\" src=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2026\/03\/TPL_MR_Dome-360x360.jpg\" class=\"attachment-woocommerce_thumbnail size-woocommerce_thumbnail\" alt=\"\" srcset=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2026\/03\/TPL_MR_Dome-360x360.jpg 360w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2026\/03\/TPL_MR_Dome-150x150.jpg 150w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2026\/03\/TPL_MR_Dome-500x500.jpg 500w\" sizes=\"(max-width: 360px) 100vw, 360px\" \/><h3 class=\"woocommerce-loop-product__title\">MR-Dome<\/h3><div class=\"usefull_links\"><\/a><a href=\"\/documents\/techsheets\/TPL_MODULAR_RINGLIGHT_Product_Profile_EN.pdf\" class=\"technical_sheet\" target=\"_blank\" title=\"Datenblatt\"><\/a><a href=\"\/documents\/usermanuals\/TPL_MODULAR_RINGLIGHT_Notice_EN.pdf\" class=\"guide_standard\" target=\"_blank\" title=\"Betriebsanleitung Standard\"><\/a><a href=\"\/documents\/drawings\/TPL_MODULAR_RINGLIGHT_DOME.zip\" class=\"drawings\" target=\"_blank\" title=\"Zeichnungen\"><\/a><\/div><div class=\"custom-excerpt\"><ul>\n<li>Leistungsstarke Dom-Beleuchtung<\/li>\n<li>Overdrive, Sektoren und zweifarbig<\/li>\n<li>80mm und 130mm Innen-\u00d8<\/li>\n<\/ul>\n<\/div><\/a><\/li>\n<li class=\"product type-product post-2259 status-publish instock product_cat-balkenbeleuchtungen has-post-thumbnail shipping-taxable purchasable product-type-simple\">\n\t<a href=\"https:\/\/www.tpl-vision.com\/de\/uberblick\/balkenbeleuchtungen\/modular-m-ebar\/\" class=\"woocommerce-LoopProduct-link woocommerce-loop-product__link\"><img decoding=\"async\" width=\"360\" height=\"360\" src=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2026\/03\/TPL_M-EBAR-360x360.jpg\" class=\"attachment-woocommerce_thumbnail size-woocommerce_thumbnail\" alt=\"\" srcset=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2026\/03\/TPL_M-EBAR-360x360.jpg 360w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2026\/03\/TPL_M-EBAR-150x150.jpg 150w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2026\/03\/TPL_M-EBAR-500x500.jpg 500w\" sizes=\"(max-width: 360px) 100vw, 360px\" \/><h3 class=\"woocommerce-loop-product__title\">Modular M-EBAR<\/h3><div class=\"usefull_links\"><\/a><a href=\"\/documents\/techsheets\/TPL_M-EBAR_Product_Profile_EN.pdf\" class=\"technical_sheet\" target=\"_blank\" title=\"Datenblatt\"><\/a><a href=\"\/documents\/usermanuals\/TPL_M-EBAR_Technical_User_Guide_EN.pdf\" class=\"guide_standard\" target=\"_blank\" title=\"Betriebsanleitung Standard\"><\/a><a href=\"\/documents\/drawings\/TPL_M-EBAR_PLUS_DRAWINGS.zip\" class=\"drawings\" target=\"_blank\" title=\"Zeichnungen\"><\/a><\/div><div class=\"custom-excerpt\"><ul>\n<li>Modulare Balkenbeleuchtung<\/li>\n<li>Flexible Angle Changers<\/li>\n<li>Gr\u00f6\u00dfen bis 500mm<\/li>\n<\/ul>\n<\/div><\/a><\/li>\n<\/ul>\n<\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b4ccea1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b4ccea1\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-04bd670\" data-id=\"04bd670\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>From the wide use of robotics to Artificial Intelligence (AI), advancing technology is revolutionising the way products are designed, made, and delivered. In this article, we will explore how AI is shaping the future of manufacturing, which applications should consider using AI, and how machine vision lighting can optimise manufacturing processes. Rule Based vs Machine [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":19899,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"How AI and Machine Vision Lighting are Transforming Manufacturing","_seopress_titles_desc":"In this article, we explore how Artificial Intelligence (AI) is shaping the future of manufacturing and how machine vision lighting can optimise AI systems.","_seopress_robots_index":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[982],"tags":[],"_links":{"self":[{"href":"https:\/\/www.tpl-vision.com\/de\/wp-json\/wp\/v2\/posts\/23089"}],"collection":[{"href":"https:\/\/www.tpl-vision.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tpl-vision.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tpl-vision.com\/de\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tpl-vision.com\/de\/wp-json\/wp\/v2\/comments?post=23089"}],"version-history":[{"count":3,"href":"https:\/\/www.tpl-vision.com\/de\/wp-json\/wp\/v2\/posts\/23089\/revisions"}],"predecessor-version":[{"id":23092,"href":"https:\/\/www.tpl-vision.com\/de\/wp-json\/wp\/v2\/posts\/23089\/revisions\/23092"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tpl-vision.com\/de\/wp-json\/wp\/v2\/media\/19899"}],"wp:attachment":[{"href":"https:\/\/www.tpl-vision.com\/de\/wp-json\/wp\/v2\/media?parent=23089"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tpl-vision.com\/de\/wp-json\/wp\/v2\/categories?post=23089"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tpl-vision.com\/de\/wp-json\/wp\/v2\/tags?post=23089"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}