{"id":23197,"date":"2024-05-22T16:14:17","date_gmt":"2024-05-22T14:14:17","guid":{"rendered":"https:\/\/www.tpl-vision.com\/applications\/from-automation-to-deep-learning-artificial-intelligence-and-the-future-of-manufacturing\/"},"modified":"2026-03-06T12:14:19","modified_gmt":"2026-03-06T11:14:19","slug":"from-automation-to-deep-learning-artificial-intelligence-and-the-future-of-manufacturing","status":"publish","type":"post","link":"https:\/\/www.tpl-vision.com\/fr\/blog-news-fr\/from-automation-to-deep-learning-artificial-intelligence-and-the-future-of-manufacturing\/","title":{"rendered":"From Automation to Deep Learning: Artificial Intelligence and The Future of Manufacturing"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"23197\" class=\"elementor elementor-23197 elementor-17671\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-8204610 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8204610\" 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-e9024b6\" data-id=\"e9024b6\" 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-51c8db4 elementor-widget elementor-widget-image\" data-id=\"51c8db4\" 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=\"450\" src=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/under-construction-1024x576.jpg\" class=\"attachment-large size-large wp-image-17999\" alt=\"under construction notice for pages in development\" srcset=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/under-construction-1024x576.jpg 1024w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/under-construction-300x169.jpg 300w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/under-construction-768x432.jpg 768w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/under-construction-1536x864.jpg 1536w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/under-construction-600x338.jpg 600w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/under-construction-175x98.jpg 175w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/under-construction-40x23.jpg 40w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/under-construction-55x31.jpg 55w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/under-construction-100x56.jpg 100w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/under-construction.jpg 1920w\" 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-9edea00 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9edea00\" 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-99d84cb\" data-id=\"99d84cb\" 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-e9a0ce3 elementor-drop-cap-yes elementor-drop-cap-view-default elementor-widget elementor-widget-text-editor\" data-id=\"e9a0ce3\" data-element_type=\"widget\" data-settings=\"{&quot;drop_cap&quot;:&quot;yes&quot;}\" 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>Advances in technology continue to revolutionise the manufacturing industry, rapidly changing the manufacturing landscape. From the wide use of robotics to Artificial Intelligence (AI), these innovations are transforming 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 in their manufacturing processes, and how these can be optimised with the use of proper illumination.  <\/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-8ce2aff elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8ce2aff\" 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-3e136ac\" data-id=\"3e136ac\" 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-059fe62 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"059fe62\" 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 .elementor-divider__text{font-size:15px;line-height:1;max-width:95%}.elementor-widget-divider .elementor-divider__element{margin:0 var(--divider-element-spacing);flex-shrink:0}.elementor-widget-divider .elementor-icon{font-size:var(--divider-icon-size)}.elementor-widget-divider .elementor-divider-separator{display:flex;margin:0;direction:ltr}.elementor-widget-divider--view-line_icon .elementor-divider-separator,.elementor-widget-divider--view-line_text .elementor-divider-separator{align-items:center}.elementor-widget-divider--view-line_icon .elementor-divider-separator:after,.elementor-widget-divider--view-line_icon .elementor-divider-separator:before,.elementor-widget-divider--view-line_text .elementor-divider-separator:after,.elementor-widget-divider--view-line_text .elementor-divider-separator:before{display:block;content:\"\";border-block-end:0;flex-grow:1;border-block-start:var(--divider-border-width) var(--divider-border-style) var(--divider-color)}.elementor-widget-divider--element-align-left .elementor-divider .elementor-divider-separator>.elementor-divider__svg:first-of-type{flex-grow:0;flex-shrink:100}.elementor-widget-divider--element-align-left .elementor-divider-separator:before{content:none}.elementor-widget-divider--element-align-left .elementor-divider__element{margin-left:0}.elementor-widget-divider--element-align-right .elementor-divider .elementor-divider-separator>.elementor-divider__svg:last-of-type{flex-grow:0;flex-shrink:100}.elementor-widget-divider--element-align-right .elementor-divider-separator:after{content:none}.elementor-widget-divider--element-align-right .elementor-divider__element{margin-right:0}.elementor-widget-divider--element-align-start .elementor-divider .elementor-divider-separator>.elementor-divider__svg:first-of-type{flex-grow:0;flex-shrink:100}.elementor-widget-divider--element-align-start .elementor-divider-separator:before{content:none}.elementor-widget-divider--element-align-start .elementor-divider__element{margin-inline-start:0}.elementor-widget-divider--element-align-end .elementor-divider .elementor-divider-separator>.elementor-divider__svg:last-of-type{flex-grow:0;flex-shrink:100}.elementor-widget-divider--element-align-end .elementor-divider-separator:after{content:none}.elementor-widget-divider--element-align-end .elementor-divider__element{margin-inline-end:0}.elementor-widget-divider:not(.elementor-widget-divider--view-line_text):not(.elementor-widget-divider--view-line_icon) .elementor-divider-separator{border-block-start:var(--divider-border-width) var(--divider-border-style) var(--divider-color)}.elementor-widget-divider--separator-type-pattern{--divider-border-style:none}.elementor-widget-divider--separator-type-pattern.elementor-widget-divider--view-line .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<\/span>\n\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-c68ced8 elementor-widget elementor-widget-spacer\" data-id=\"c68ced8\" 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<div class=\"elementor-element elementor-element-db2240b elementor-widget elementor-widget-heading\" data-id=\"db2240b\" 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 ai machine vision<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8f326de elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"8f326de\" 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<\/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-d5a2112 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d5a2112\" 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-69aca54\" data-id=\"69aca54\" 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-04242b7 elementor-widget elementor-widget-image\" data-id=\"04242b7\" 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\" width=\"1080\" height=\"400\" src=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/bottles-inspection.png\" class=\"attachment-full size-full wp-image-18016\" alt=\"high speed bottle inspection application for deep learning article\" srcset=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/bottles-inspection.png 1080w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/bottles-inspection-300x111.png 300w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/bottles-inspection-1024x379.png 1024w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/bottles-inspection-768x284.png 768w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/bottles-inspection-600x222.png 600w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/bottles-inspection-175x65.png 175w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/bottles-inspection-40x15.png 40w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/bottles-inspection-55x20.png 55w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/bottles-inspection-100x37.png 100w\" sizes=\"(max-width: 1080px) 100vw, 1080px\" \/>\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<div class=\"elementor-element elementor-element-128d7fe elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"128d7fe\" 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 to carry out tasks such as quality control, inspection, code reading, assembly and packaging. <\/p>\n<div>\n<div dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"2f5624a1-79d3-4d7b-ab1d-a6221989d183\">\n<div>\n<div>\n<p>Traditional rule-based machine vision 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>Artificial Intelligence systems work by training the software with labelled images until it can make distinctions independently. This allows the systems to identify patterns and make decisions based on insights gained from previous experiences. <\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>Automation has been an integral part of the manufacturing sector for decades, streamlining processes and reducing human error. AI takes this to a whole new level by enabling machines to learn, adapt, and make decisions independently. With AI-powered systems, manufacturers can now analyse huge amounts of data, optimise production lines, detect anomalies more accurately, and predict maintenance needs. Two prominent AI technologies, <i><a href=\"https:\/\/www.tpl-vision.com\/fr\/entreprise\/glossary\/#Ee\">edge learning<\/a><\/i> and <i><a href=\"https:\/\/www.tpl-vision.com\/fr\/entreprise\/glossary\/#Dd\">deep learning<\/a><\/i>, further streamline the automation of complex tasks that are challenging to program with rule-based algorithms.   <\/p>\n<p>The global AI market has seen significant growth and is now valued at over $180 billion. This rapid expansion is expected to continue, with projections indicating it will surpass 826 billion U.S. dollars by 2030. <\/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-52c2e7c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"52c2e7c\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\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-da1457d\" data-id=\"da1457d\" 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-7fb838e elementor-widget elementor-widget-spacer\" data-id=\"7fb838e\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\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<div class=\"elementor-element elementor-element-176f113 elementor-widget elementor-widget-heading\" data-id=\"176f113\" 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-db57457 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"db57457\" 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<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-e0e77a3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e0e77a3\" 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-50 elementor-inner-column elementor-element elementor-element-4ede73f\" data-id=\"4ede73f\" 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-791686c elementor-widget elementor-widget-text-editor\" data-id=\"791686c\" 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 rule-based and AI-based vision lies in their approach to analysing and interpreting visual data. Rule-based machine vision operates on a set of predefined rules and parameters, typically set by a vision expert, to identify and classify objects in an image. It relies on strict descriptions and is most effective under consistent conditions.  <\/p>\n<p>On the other hand, AI-based systems can autonomously learn and adapt to different scenarios. These systems can handle complex and dynamic environments, offering more flexibility and scalability, making it particularly well-suited for applications with evolving conditions and diverse visual characteristics. <\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6677a6b elementor-widget elementor-widget-text-editor\" data-id=\"6677a6b\" 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>Rule-based vision is often utilised in applications where the criteria for inspection can be precisely defined and where the environment remains relatively stable and predictable. This includes tasks such as quality control in manufacturing, where specific measurements and thresholds can be configured to meet specifications. <\/p>\n<p>AI-based machine vision is particularly suited to applications with high variability and complexity, where traditional rule-based methods may start to struggle. It excels in tasks such as surface inspection, texture inspection and object classification, especially when dealing with evolving defects. <\/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-inner-column elementor-element elementor-element-1246cdb\" data-id=\"1246cdb\" 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-30ab06b elementor-widget elementor-widget-image\" data-id=\"30ab06b\" 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\" width=\"500\" height=\"500\" src=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/web-question-mark.png\" class=\"attachment-medium_large size-medium_large wp-image-18013\" alt=\"web question mark icon\" srcset=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/web-question-mark.png 500w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/web-question-mark-300x300.png 300w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/web-question-mark-150x150.png 150w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/web-question-mark-360x360.png 360w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/web-question-mark-175x175.png 175w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/web-question-mark-40x40.png 40w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/web-question-mark-55x55.png 55w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2024\/05\/web-question-mark-100x100.png 100w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/>\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\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-6ff2550 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6ff2550\" 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-a95a271\" data-id=\"a95a271\" 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-988ba4b elementor-widget elementor-widget-text-editor\" data-id=\"988ba4b\" 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 AI, consider factors such as:<\/strong><\/p>\n<ul>\n<li>the variability of the objects to be inspected,<\/li>\n<li>the availability of high-quality image data for training,<\/li>\n<li>and the need for adaptability to changing conditions.<\/li>\n<\/ul>\n<p>If your application involves dynamic environments or requires continuous improvement without manual intervention, AI-based machine vision may be the preferable choice for you.<\/p>\n<p>While machine learning systems offer greater flexibility and adaptability, they require significant initial investment in data collection, training, and development. Conversely, rule-based systems are typically simpler to implement, but may become more complex and difficult to manage with additional rules and mitigating factors. 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\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2a227c9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2a227c9\" 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-778c610\" data-id=\"778c610\" 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-73f3e53 elementor-widget elementor-widget-spacer\" data-id=\"73f3e53\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\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<div class=\"elementor-element elementor-element-54300d7 elementor-widget elementor-widget-heading\" data-id=\"54300d7\" 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\">Edge learning VS deep learning<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-615fb88 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"615fb88\" 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<\/span>\n\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-4d9181a elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"4d9181a\" 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 AI applications, edge learning distinguishes itself from deep learning by prioritising ease of use throughout every deployment stage. 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>Deep learning mimics the way human brain neurons interact. It involves exposing numerous layers of <em><a href=\"https:\/\/www.tpl-vision.com\/fr\/entreprise\/glossary\/\">neural networks<\/a><\/em> to a large collection of similar images. Through iterative adjustments of these connections, deep learning can accurately recognise objects and detect defects without explicit instructions.  <\/p>\n<p>This approach excels at processing extensive and very detailed image sets, making it suitable for complex or highly custom applications. These applications are characterised by significant variability, requiring advanced computational resources and extensive training. To accommodate such diversity and capture all possible outcomes, training sets often consist of thousands of images. Deep learning is designed to swiftly and efficiently analyse large image sets, providing an effective solution for automating intricate tasks.   <\/p>\n<p>Although traditional deep learning frameworks are well-suited for complex applications, there are several factory automation tasks that are less intricate, making them more appropriate for edge learning.<\/p>\n<p>AI&rsquo;s potential can be harnessed by embedding application-specific knowledge into neural network connections from the outset. This pre-training significantly reduces computational demands, especially when paired with traditional machine vision tools. This leads to edge learning, a streamlined and efficient set of vision tools.  <\/p>\n<p>Edge learning tools can be trained in mere minutes with as few as five to ten images, in contrast to deep learning solutions, which might require extended periods of training and hundreds to thousands of images. This simplification of deployment allows manufacturers to scale operations much quicker. <\/p>\n<p>To optimise edge learning for embedded vision systems, training images are downscaled or focused on specific regions of interest. If these downscaled images are discernible by a line engineer, edge learning tools are expected to perform equally well. However, this optimisation has its limitations. It restricts the use of edge learning in advanced and precise defect detection applications, which are better addressed by traditional deep learning 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-92b8b3d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"92b8b3d\" 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-85baafa\" data-id=\"85baafa\" 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-00b1a62 elementor-widget elementor-widget-spacer\" data-id=\"00b1a62\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\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<div class=\"elementor-element elementor-element-dd8d12b elementor-widget elementor-widget-heading\" data-id=\"dd8d12b\" 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<div class=\"elementor-element elementor-element-2157ddf elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"2157ddf\" 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<\/span>\n\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-11245fd elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"11245fd\" 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 AI workflow for deep learning classification involves four main steps:<\/p>\n<ol>\n<li>\n<p><strong>Preparation: Acquire, Label &amp; Review Data<\/strong><\/p>\n<ul>\n<li>Collect image data under conditions similar to the live application.<\/li>\n<li>Label each object in the dataset consistently and accurately.<\/li>\n<li>Review and correct any mislabeled data using software.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>Training<\/strong><\/p>\n<ul>\n<li>Export the prepared data.<\/li>\n<li>Use software to analyse the images and automatically learn identifying features.<\/li>\n<li>Train a classifier based on pre-trained Convolutional Neural Networks (CNNs).<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>Evaluation: Verify the Model on Test Data<\/strong><\/p>\n<ul>\n<li>Verify model performance using visualisation options like confusion matrices and heatmaps to assess true and false positives and understand the network&rsquo;s decision-making areas.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>Inference: Deploy to New Live Images<\/strong><\/p>\n<ul>\n<li>Apply the trained CNN classifier to new images to identify classes such as scratched, contaminated, or good samples.<\/li>\n<li>Execute inference on GPUs or CPUs for real-time application.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\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-2acb5ce elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2acb5ce\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\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-4533536\" data-id=\"4533536\" 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-a284cb3 elementor-widget elementor-widget-spacer\" data-id=\"a284cb3\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\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<div class=\"elementor-element elementor-element-2fbaec8 elementor-widget elementor-widget-heading\" data-id=\"2fbaec8\" 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<div class=\"elementor-element elementor-element-aef8fd8 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"aef8fd8\" 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<\/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-0c7a130 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0c7a130\" 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-dcc4d4f\" data-id=\"dcc4d4f\" 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-bbc49ed elementor-widget elementor-widget-text-editor\" data-id=\"bbc49ed\" 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>While AI continues to revolutionise automation, it is important to remember it still 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 environmental conditions, such as lighting variations, can significantly impact the system&rsquo;s performance and reliability.  <\/p>\n<p>General considerations for AI applications include:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bcd876c elementor-position-left elementor-vertical-align-middle elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"bcd876c\" data-element_type=\"widget\" data-widget_type=\"icon-box.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\/assets\/css\/widget-icon-box.min.css\">\t\t<div class=\"elementor-icon-box-wrapper\">\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-balance-scale\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t<span  >\n\t\t\t\t\t\tStable illumination\t\t\t\t\t<\/span>\n\t\t\t\t<\/h3>\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tIllumination should be considered early on to avoid having to retrain the vision system due to environmental changes. Lighting sources should be stable and consistent over time to minimise variations in image quality, which can lead to false classification results. \t\t\t\t\t<\/p>\n\t\t\t\t\t\t\t<\/div>\n\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-fa72dfe elementor-position-left elementor-vertical-align-middle elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"fa72dfe\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-equals\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t<span  >\n\t\t\t\t\t\tUniformity\t\t\t\t\t<\/span>\n\t\t\t\t<\/h3>\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tIllumination should be considered early on to avoid having to retrain the vision system due to environmental changes. Lighting sources should be stable and consistent over time to minimise variations in image quality, which can lead to false classification results. \t\t\t\t\t<\/p>\n\t\t\t\t\t\t\t<\/div>\n\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-2fc2a75 elementor-position-left elementor-vertical-align-middle elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"2fc2a75\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-lightbulb\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t<span  >\n\t\t\t\t\t\tIntensity\t\t\t\t\t<\/span>\n\t\t\t\t<\/h3>\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tThe intensity of the illumination should be sufficient to provide clear and detailed images without causing glare or unwanted reflections that can affect the accuracy of the analysis. Overexposure, whereby the intensity of light exceeds the dynamic range of the camera sensor, can lead to loss of detail in bright areas, while insufficient illumination can result in dark or noisy images. \t\t\t\t\t<\/p>\n\t\t\t\t\t\t\t<\/div>\n\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-19be583 elementor-widget elementor-widget-spacer\" data-id=\"19be583\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\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-faa7d0e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"faa7d0e\" 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-095ed10\" data-id=\"095ed10\" 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-c57f24a elementor-widget elementor-widget-spacer\" data-id=\"c57f24a\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\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<div class=\"elementor-element elementor-element-659f9c9 elementor-widget elementor-widget-heading\" data-id=\"659f9c9\" 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\">CASE STUDY: SUCCESSFUL IMPLEMENTATION OF AI INSPECTION<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b0c1c0a elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"b0c1c0a\" 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<\/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-8bb59a1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8bb59a1\" 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-c3bde65\" data-id=\"c3bde65\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-f1022f5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f1022f5\" 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-50 elementor-inner-column elementor-element elementor-element-f31fcf3\" data-id=\"f31fcf3\" 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-c8c4573 elementor-widget elementor-widget-image\" data-id=\"c8c4573\" 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 loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"377\" src=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2023\/04\/Screenshot-2023-04-12-at-11.25.01-1024x482.png\" class=\"attachment-large size-large wp-image-12619\" alt=\"\" srcset=\"https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2023\/04\/Screenshot-2023-04-12-at-11.25.01-1024x482.png 1024w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2023\/04\/Screenshot-2023-04-12-at-11.25.01-300x141.png 300w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2023\/04\/Screenshot-2023-04-12-at-11.25.01-768x361.png 768w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2023\/04\/Screenshot-2023-04-12-at-11.25.01-1536x722.png 1536w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2023\/04\/Screenshot-2023-04-12-at-11.25.01-600x282.png 600w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2023\/04\/Screenshot-2023-04-12-at-11.25.01-175x82.png 175w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2023\/04\/Screenshot-2023-04-12-at-11.25.01-40x19.png 40w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2023\/04\/Screenshot-2023-04-12-at-11.25.01-55x26.png 55w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2023\/04\/Screenshot-2023-04-12-at-11.25.01-100x47.png 100w, https:\/\/www.tpl-vision.com\/wp-content\/uploads\/2023\/04\/Screenshot-2023-04-12-at-11.25.01.png 1850w\" 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<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-4680a52\" data-id=\"4680a52\" 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-92ec7c4 elementor-widget elementor-widget-text-editor\" data-id=\"92ec7c4\" 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>Leveraging AI technology to enhance inspection processes, this <b>Deep Learning inspection system<\/b> inspects car parts while the vehicles are in motion, dealing with challenging shiny and reflective surfaces, and&nbsp;<strong>conducting<\/strong>&nbsp;over&nbsp;<strong>60 inspections per vehicle<\/strong>.<\/p>\n<p>By adopting AI technology, the application achieves precise anomaly detection, analysis, and classification, even with variations, based on examples provided to the system. This enables consistent and reliable decision-making with maximum accuracy, akin to <b>human learning<\/b> models. <\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e3fcfd9 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"e3fcfd9\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Plus d'infos<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\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\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-437c2e6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"437c2e6\" 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-3139cdb\" data-id=\"3139cdb\" 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-37a96be elementor-widget elementor-widget-spacer\" data-id=\"37a96be\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\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<div class=\"elementor-element elementor-element-8b49161 elementor-widget elementor-widget-heading\" data-id=\"8b49161\" 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\">SUMMARY<\/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-2ade947 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2ade947\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\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-50 elementor-top-column elementor-element elementor-element-ae3e141\" data-id=\"ae3e141\" 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-a946b3b elementor-widget elementor-widget-text-editor\" data-id=\"a946b3b\" 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>IN BRIEF:<\/strong><\/p>\n<ul>\n<li>Applications with high variability, complex inspections benefit from <b>AI-based<\/b> vision systems.&nbsp;<\/li>\n<li>Stable environments with well-defined inspection criteria can rely on<b> rule-based<\/b> systems.&nbsp;<br><\/li>\n<li>Proper illumination is crucial for AI applications to ensure consistent image quality. Stable, uniform, and adequately intense lighting prevents <b>quality variations<\/b>, which can lead to false classifications. <\/li>\n<li>Choosing illumination early avoids <b>retraining<\/b> due to environmental changes and ensures <b>consistent<\/b>, <b>accurate analysis<\/b>. This reduces the need for costly adjustments and delays, ensuring <b>more efficient operation<\/b>. <\/li>\n<\/ul>\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-740c93d\" data-id=\"740c93d\" 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-9fe3c1f elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"9fe3c1f\" 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 future of manufacturing is being shaped by advancements in AI, offering unprecedented possibilities for efficiency, productivity, and cost-effectiveness. From optimising production processes to developing personalised products, AI is transforming every aspect of the manufacturing industry. Depending on the industry, the task itself, and quantity and quality of training data, AI-driven systems can improve decision-making and adapt to new challenges effectively.   <\/p>\n<p>By embracing deep learning and adopting a data-driven approach, manufacturers can unlock new opportunities for growth, innovation, and sustainability. This results in smoother operations within today&rsquo;s intricate supply chains, leveraging AI&rsquo;s capacity to integrate data-driven insights, allocate resources effectively, and adjust production schedules responsively.  <\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0c14b6a elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"0c14b6a\" 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<\/span>\n\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-2765ec9 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"2765ec9\" 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>[1] Statista &#8211; \u00ab\u00a0Artificial intelligence (AI) market size worldwide from 2020 to 2030\u00a0\u00bb<\/p>\n<p><a href=\"https:\/\/www.statista.com\/forecasts\/1474143\/global-ai-market-size\">https:\/\/www.statista.com\/forecasts\/1474143\/global-ai-market-size<\/a><\/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<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Leveraging the Strengths of AI and traditional Machine Vision<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"AI and Deep Learning in Smart Manufacturing Systems","_seopress_titles_desc":"Explore how AI and deep learning are transforming manufacturing, from vision system automation to smart inspection using proper machine vision lighting.","_seopress_robots_index":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[973],"tags":[],"_links":{"self":[{"href":"https:\/\/www.tpl-vision.com\/fr\/wp-json\/wp\/v2\/posts\/23197"}],"collection":[{"href":"https:\/\/www.tpl-vision.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tpl-vision.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tpl-vision.com\/fr\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tpl-vision.com\/fr\/wp-json\/wp\/v2\/comments?post=23197"}],"version-history":[{"count":3,"href":"https:\/\/www.tpl-vision.com\/fr\/wp-json\/wp\/v2\/posts\/23197\/revisions"}],"predecessor-version":[{"id":23200,"href":"https:\/\/www.tpl-vision.com\/fr\/wp-json\/wp\/v2\/posts\/23197\/revisions\/23200"}],"wp:attachment":[{"href":"https:\/\/www.tpl-vision.com\/fr\/wp-json\/wp\/v2\/media?parent=23197"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tpl-vision.com\/fr\/wp-json\/wp\/v2\/categories?post=23197"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tpl-vision.com\/fr\/wp-json\/wp\/v2\/tags?post=23197"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}