{"id":9513,"date":"2025-10-16T08:00:00","date_gmt":"2025-10-16T08:00:00","guid":{"rendered":"https:\/\/automation-inside.com\/what-are-the-advantages-of-using-ai-in-quality-control\/"},"modified":"2025-11-12T13:19:24","modified_gmt":"2025-11-12T13:19:24","slug":"what-are-the-advantages-of-using-ai-in-quality-control","status":"publish","type":"post","link":"https:\/\/we.automation-inside.com\/en\/what-are-the-advantages-of-using-ai-in-quality-control\/","title":{"rendered":"What are the advantages of using AI in quality control?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"9513\" class=\"elementor elementor-9513 elementor-867\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f9bb731 e-flex e-con-boxed e-con e-parent\" data-id=\"f9bb731\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6bc2cd4 elementor-widget elementor-widget-global elementor-global-7294 elementor-global-22 elementor-widget-spacer\" data-id=\"6bc2cd4\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6438a4a e-con-full e-flex e-con e-child\" data-id=\"6438a4a\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9bea727 elementor-widget elementor-widget-global elementor-global-7336 elementor-global-10 elementor-widget-post-info\" data-id=\"9bea727\" data-element_type=\"widget\" data-widget_type=\"post-info.default\">\n\t\t\t\t\t\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-7119e78 elementor-inline-item\" itemprop=\"about\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text elementor-post-info__item elementor-post-info__item--type-terms\">\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-post-info__terms-list\">\n\t\t\t\t<a href=\"https:\/\/we.automation-inside.com\/en\/tag\/ai\/\" class=\"elementor-post-info__terms-list-item\">AI<\/a>, <a href=\"https:\/\/we.automation-inside.com\/en\/tag\/industrial-image-processing\/\" class=\"elementor-post-info__terms-list-item\">Industrial image processing<\/a>, <a href=\"https:\/\/we.automation-inside.com\/en\/tag\/machine-vision\/\" class=\"elementor-post-info__terms-list-item\">Machine Vision<\/a>, <a href=\"https:\/\/we.automation-inside.com\/en\/tag\/quality-control\/\" class=\"elementor-post-info__terms-list-item\">Quality control<\/a>\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3e658e6 elementor-widget elementor-widget-global elementor-global-7256 elementor-global-34 elementor-widget-theme-post-title\" data-id=\"3e658e6\" data-element_type=\"widget\" data-widget_type=\"theme-post-title.default\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">What are the advantages of using AI in quality control?<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5fa2cf7 elementor-widget elementor-widget-text-editor\" data-id=\"5fa2cf7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><strong>Industrial quality control is undergoing radical change. While rule-based image processing systems or manual visual inspections have been common practice for decades, the use of artificial intelligence (AI) is opening up completely new possibilities. AI-based processes are revolutionizing industrial image processing and making production processes more efficient, robust and cost-effective.  <\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4bc879f elementor-widget elementor-widget-theme-post-featured-image elementor-widget-image\" data-id=\"4bc879f\" data-element_type=\"widget\" data-widget_type=\"theme-post-featured-image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"2560\" height=\"1440\" src=\"https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/KI_wenglor-scaled.png\" class=\"attachment-full size-full wp-image-9514\" alt=\"Abstract representation of digital code and data streams in bright colors, symbol of artificial intelligence and industrial digitization.\" srcset=\"https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/KI_wenglor-scaled.png 2560w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/KI_wenglor-300x169.png 300w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/KI_wenglor-1024x576.png 1024w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/KI_wenglor-768x432.png 768w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/KI_wenglor-1536x864.png 1536w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/KI_wenglor-2048x1152.png 2048w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">AI-supported image processing systems offer decisive advantages.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f90880a elementor-widget elementor-widget-text-editor\" data-id=\"f90880a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h2>How AI supports production processes<\/h2><p>Classic image processing systems work with fixed rules and algorithms. This works well as long as the processes are highly standardized and only minimal deviations occur. In reality, however, things are often different: materials vary in color and structure, production environments change, for example due to changing lighting conditions, and products show natural differences in shape, surface or texture. As soon as this variance increases, conventional systems reach their limits. They tend to incorrectly reject parts that are actually flawless, known as pseudo rejects, or fail to detect faulty parts, a phenomenon known as slippage.    <\/p><p>The result: increased costs, inefficient processes and, in the worst case, quality problems for the end customer. AI systems provide a remedy here: they <g id=\"gid_0\">tolerate natural variations<\/g> and recognize deviations flexibly. They thus combine the strengths of human visual inspection &#8211; such as flexibility and contextual understanding &#8211; with the speed and repetition accuracy of computer-aided systems.  <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9ea43c1 elementor-widget elementor-widget-text-editor\" data-id=\"9ea43c1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h4>What actually is AI?<\/h4><p><strong>Artificial intelligence (AI)<\/strong> is the generic term for technologies that enable machines to solve tasks independently &#8211; often inspired by human thinking.<\/p><ul><li><strong>Machine learning:<\/strong> Systems learn patterns and correlations directly from sample data. Instead of defining each rule manually, the system itself &#8220;recognizes&#8221; how inputs are translated into outputs. <\/li><li><strong>Deep learning:<\/strong> A specialized form of machine learning based on neural networks with many layers. This architecture makes it possible to recognize even very complex patterns and deliver precise results even under varying conditions. <\/li><\/ul><p>The special feature: AI systems adapt, improve with each data set and can therefore also be used <strong>reliably and future-proof<\/strong> in dynamic production environments.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bb38e49 elementor-widget elementor-widget-text-editor\" data-id=\"bb38e49\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h2>How AI optimizes quality control<\/h2><p>Although rule-based systems are available, quality control is still carried out manually in many branches of industry. The reasons for this are the high variance of possible defect patterns and the limits of human attention. AI-supported image processing systems offer decisive advantages here: they ensure consistent and repeatable assessment based on large data sets, which significantly increases the quality of decisions. At the same time, they work around the clock without fatigue, which exceeds human attention spans. The results are documented automatically: images are saved, heat maps are created and score values are calculated so that decisions can be tracked and traced at any time. In addition, AI systems can be used and scaled independently of staff availability. Thanks to their intuitive operation, training requirements are significantly reduced, saving companies time and money while increasing process reliability.      <\/p><figure id=\"attachment_869\" aria-describedby=\"caption-attachment-869\" style=\"width: 800px\" class=\"wp-caption alignnone\"><img decoding=\"async\" class=\"wp-image-869 size-large\" src=\"https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/809-B60_QualitaetskontrolleSpritzgussteile_02-1024x576.jpg\" alt=\"Quality control wenglor sensoric Machine Vision B60\" width=\"800\" height=\"450\" srcset=\"https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/809-B60_QualitaetskontrolleSpritzgussteile_02-1024x576.jpg 1024w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/809-B60_QualitaetskontrolleSpritzgussteile_02-300x169.jpg 300w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/809-B60_QualitaetskontrolleSpritzgussteile_02-768x432.jpg 768w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/809-B60_QualitaetskontrolleSpritzgussteile_02-1536x864.jpg 1536w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/809-B60_QualitaetskontrolleSpritzgussteile_02.jpg 1920w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><figcaption id=\"caption-attachment-869\" class=\"wp-caption-text\">wenglor B60 Machine Vision Smart Camera Quality control of injection molded parts<\/figcaption><\/figure>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-81669df elementor-widget elementor-widget-text-editor\" data-id=\"81669df\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h2>Focus on economic benefits<\/h2><p>The use of AI is not only a technological advance, but also an <strong>economic advantage<\/strong>:<\/p><ul><li><strong>Fewer pseudo rejects:<\/strong> good parts remain in the process, resources are conserved and productivity increases.<\/li><li><strong>Less slippage:<\/strong> Defective parts are detected early and removed from the process &#8211; this reduces reworking, recall risks and complaints.<\/li><li><strong>Greater efficiency:<\/strong> AI can evaluate large volumes of data in real time, recognize patterns and thus also serve as an early warning system.<\/li><li><strong>Fast ROI:<\/strong> Investments in AI systems often pay for themselves in a short time thanks to fewer rejects, lower personnel costs and greater process reliability.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3a37d8e elementor-widget elementor-widget-text-editor\" data-id=\"3a37d8e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h2>AI offers decisive competitive advantages<\/h2><p>The use of AI in quality control provides companies with decisive competitive advantages. It enables greater accuracy and process reliability, reduces costs by minimizing waste and frees up skilled workers while increasing process efficiency. In addition, AI can be seamlessly integrated into the networked factory of the future. As a result, quality control is evolving from a mere &#8220;necessary checkpoint&#8221; into a strategic value driver of Industrie 4.0. Companies that rely on AI at an early stage not only secure a technological advantage, but also create the basis for sustainable growth in an increasingly variant-rich and data-driven production world.    <\/p><figure id=\"attachment_870\" aria-describedby=\"caption-attachment-870\" style=\"width: 800px\" class=\"wp-caption alignright\"><img decoding=\"async\" class=\"size-large wp-image-870\" src=\"https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/809-B60_QualitaetskontrolleSpritzgussteile_03-1024x576.jpg\" alt=\"B60 Smart Camera wenglor Quality control of injection molded parts\" width=\"800\" height=\"450\" srcset=\"https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/809-B60_QualitaetskontrolleSpritzgussteile_03-1024x576.jpg 1024w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/809-B60_QualitaetskontrolleSpritzgussteile_03-300x169.jpg 300w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/809-B60_QualitaetskontrolleSpritzgussteile_03-768x432.jpg 768w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/809-B60_QualitaetskontrolleSpritzgussteile_03-1536x864.jpg 1536w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/10\/809-B60_QualitaetskontrolleSpritzgussteile_03.jpg 1920w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><figcaption id=\"caption-attachment-870\" class=\"wp-caption-text\">wenglor B60 Smart Camera Quality control of injection molded parts<\/figcaption><\/figure><p> <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-170e228 e-con-full elementor-hidden-mobile elementor-hidden-tablet e-flex e-con e-child\" data-id=\"170e228\" data-element_type=\"container\" data-settings=\"{&quot;sticky&quot;:&quot;top&quot;,&quot;sticky_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;],&quot;sticky_parent&quot;:&quot;yes&quot;,&quot;sticky_offset&quot;:0,&quot;sticky_effects_offset&quot;:0,&quot;sticky_anchor_link_offset&quot;:0}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9577fc8 elementor-grid-1 elementor-grid-tablet-2 elementor-grid-mobile-1 elementor-posts--thumbnail-top elementor-widget elementor-widget-posts\" data-id=\"9577fc8\" data-element_type=\"widget\" data-settings=\"{&quot;classic_columns&quot;:&quot;1&quot;,&quot;classic_columns_tablet&quot;:&quot;2&quot;,&quot;classic_columns_mobile&quot;:&quot;1&quot;,&quot;classic_row_gap&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:35,&quot;sizes&quot;:[]},&quot;classic_row_gap_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;classic_row_gap_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"posts.classic\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-posts-container elementor-posts elementor-posts--skin-classic elementor-grid\" role=\"list\">\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-24019 post type-post status-publish format-standard has-post-thumbnail hentry category-basics tag-fill-level-control tag-fill-level-measurement tag-inductive-ring-sensors tag-laser-distance-sensor tag-leveltech tag-retro-reflex-sensor tag-ultrasonic-distance-sensors\" role=\"listitem\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/we.automation-inside.com\/en\/how-can-the-fill-level-be-measured-reliably-regardless-of-material-and-medium\/\" tabindex=\"-1\" >\n\t\t\t<div class=\"elementor-post__thumbnail\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"169\" src=\"https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/11\/Fuellstandsmessung_Headerbild_Neu-300x169.jpg\" class=\"attachment-medium size-medium wp-image-24021\" alt=\"Precise measurement of fill levels \u2013 contactless and reliable\" srcset=\"https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/11\/Fuellstandsmessung_Headerbild_Neu-300x169.jpg 300w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/11\/Fuellstandsmessung_Headerbild_Neu-1024x576.jpg 1024w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/11\/Fuellstandsmessung_Headerbild_Neu-768x432.jpg 768w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/11\/Fuellstandsmessung_Headerbild_Neu-1536x864.jpg 1536w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/11\/Fuellstandsmessung_Headerbild_Neu.jpg 1920w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/div>\n\t\t<\/a>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/we.automation-inside.com\/en\/how-can-the-fill-level-be-measured-reliably-regardless-of-material-and-medium\/\" >\n\t\t\t\tHow can the fill level be measured reliably \u2013 regardless of material and medium?\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__meta-data\">\n\t\t\t\t\t<span class=\"elementor-post-date\">\n\t\t\tApril 23, 2026\t\t<\/span>\n\t\t\t\t<\/div>\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/we.automation-inside.com\/en\/how-can-the-fill-level-be-measured-reliably-regardless-of-material-and-medium\/\" aria-label=\"Read more about How can the fill level be measured reliably \u2013 regardless of material and medium?\" tabindex=\"-1\" >\n\t\t\tTo the article\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/article>\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-24983 post type-post status-publish format-standard has-post-thumbnail hentry category-applications tag-automotive-engineering tag-code-reading tag-smart-camera-b60\" role=\"listitem\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/we.automation-inside.com\/en\/how-can-codes-on-dashboards-be-reliably-read-from-a-long-distance\/\" tabindex=\"-1\" >\n\t\t\t<div class=\"elementor-post__thumbnail\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"169\" src=\"https:\/\/we.automation-inside.com\/wp-content\/uploads\/2026\/04\/Armaturenbrett_Auto-300x169.jpg\" class=\"attachment-medium size-medium wp-image-24984\" alt=\"Dashboard of a car with code labels glued on it\" srcset=\"https:\/\/we.automation-inside.com\/wp-content\/uploads\/2026\/04\/Armaturenbrett_Auto-300x169.jpg 300w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2026\/04\/Armaturenbrett_Auto-1024x576.jpg 1024w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2026\/04\/Armaturenbrett_Auto-768x432.jpg 768w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2026\/04\/Armaturenbrett_Auto-1536x864.jpg 1536w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2026\/04\/Armaturenbrett_Auto.jpg 1920w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/div>\n\t\t<\/a>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/we.automation-inside.com\/en\/how-can-codes-on-dashboards-be-reliably-read-from-a-long-distance\/\" >\n\t\t\t\tHow can codes on dashboards be reliably read from a long distance?\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__meta-data\">\n\t\t\t\t\t<span class=\"elementor-post-date\">\n\t\t\tApril 17, 2026\t\t<\/span>\n\t\t\t\t<\/div>\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/we.automation-inside.com\/en\/how-can-codes-on-dashboards-be-reliably-read-from-a-long-distance\/\" aria-label=\"Read more about How can codes on dashboards be reliably read from a long distance?\" tabindex=\"-1\" >\n\t\t\tTo the article\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/article>\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-24957 post type-post status-publish format-standard has-post-thumbnail hentry category-applications tag-dark-surfaces tag-document-test tag-high-speed-bearings tag-object-detection\" role=\"listitem\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/we.automation-inside.com\/en\/how-can-the-occupancy-of-shelf-compartments-be-reliably-detected-for-shiny-and-black-objects\/\" tabindex=\"-1\" >\n\t\t\t<div class=\"elementor-post__thumbnail\"><img loading=\"lazy\" decoding=\"async\" width=\"262\" height=\"300\" src=\"https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/09\/AdobeStock_50981877-262x300.jpeg\" class=\"attachment-medium size-medium wp-image-19398\" alt=\"\" srcset=\"https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/09\/AdobeStock_50981877-262x300.jpeg 262w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/09\/AdobeStock_50981877-895x1024.jpeg 895w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/09\/AdobeStock_50981877-768x878.jpeg 768w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/09\/AdobeStock_50981877-1343x1536.jpeg 1343w, https:\/\/we.automation-inside.com\/wp-content\/uploads\/2025\/09\/AdobeStock_50981877-1791x2048.jpeg 1791w\" sizes=\"(max-width: 262px) 100vw, 262px\" \/><\/div>\n\t\t<\/a>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/we.automation-inside.com\/en\/how-can-the-occupancy-of-shelf-compartments-be-reliably-detected-for-shiny-and-black-objects\/\" >\n\t\t\t\tHow can the occupancy of shelf compartments be reliably detected for shiny and black objects?\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__meta-data\">\n\t\t\t\t\t<span class=\"elementor-post-date\">\n\t\t\tApril 16, 2026\t\t<\/span>\n\t\t\t\t<\/div>\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/we.automation-inside.com\/en\/how-can-the-occupancy-of-shelf-compartments-be-reliably-detected-for-shiny-and-black-objects\/\" aria-label=\"Read more about How can the occupancy of shelf compartments be reliably detected for shiny and black objects?\" tabindex=\"-1\" >\n\t\t\tTo the article\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/article>\n\t\t\t\t<\/div>\n\t\t\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3f13fdf e-con-full elementor-hidden-mobile e-flex e-con e-child\" data-id=\"3f13fdf\" data-element_type=\"container\" data-settings=\"{&quot;sticky&quot;:&quot;top&quot;,&quot;sticky_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;],&quot;sticky_parent&quot;:&quot;yes&quot;,&quot;sticky_offset&quot;:0,&quot;sticky_effects_offset&quot;:0,&quot;sticky_anchor_link_offset&quot;:0}\">\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a4d7e25 elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile e-flex e-con-boxed e-con e-parent\" data-id=\"a4d7e25\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ab61749 elementor-widget-divider--view-line elementor-widget elementor-widget-global elementor-global-7757 elementor-global-337 elementor-widget-divider\" data-id=\"ab61749\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3e1ead7 e-con-full e-flex e-con e-child\" data-id=\"3e1ead7\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-3423378 e-con-full e-flex e-con e-child\" data-id=\"3423378\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b19cdee elementor-widget elementor-widget-heading\" data-id=\"b19cdee\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Author<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-426ff13 elementor-widget elementor-widget-spacer\" data-id=\"426ff13\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\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\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2905a9c elementor-widget elementor-widget-author-box\" data-id=\"2905a9c\" data-element_type=\"widget\" data-widget_type=\"author-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-author-box\">\n\t\t\t\t\t\t\t<div  class=\"elementor-author-box__avatar\">\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/we.automation-inside.com\/wp-content\/plugins\/elementor\/assets\/images\/placeholder.png\" alt=\"Picture of Max Mustermann\" loading=\"lazy\">\n\t\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"elementor-author-box__text\">\n\t\t\t\t\t\t\t\t\t<div >\n\t\t\t\t\t\t<h4 class=\"elementor-author-box__name\">\n\t\t\t\t\t\t\tMax Mustermann\t\t\t\t\t\t<\/h4>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-author-box__bio\">\n\t\t\t\t\t\t<p>Job title<\/p>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1efd648 e-con-full e-flex e-con e-child\" data-id=\"1efd648\" data-element_type=\"container\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-837b93b elementor-widget elementor-widget-spacer\" data-id=\"837b93b\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\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\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence is revolutionizing industrial quality control. Find out how AI-supported image processing reduces waste, increases efficiency and sustainably optimizes production processes. <\/p>\n","protected":false},"author":6,"featured_media":9514,"comment_status":"closed","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"footnotes":""},"categories":[944,1960],"tags":[945,2409,252,2453],"class_list":["post-9513","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-experts-say","category-trends","tag-ai","tag-industrial-image-processing","tag-machine-vision","tag-quality-control"],"_links":{"self":[{"href":"https:\/\/we.automation-inside.com\/en\/wp-json\/wp\/v2\/posts\/9513","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/we.automation-inside.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/we.automation-inside.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/we.automation-inside.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/we.automation-inside.com\/en\/wp-json\/wp\/v2\/comments?post=9513"}],"version-history":[{"count":2,"href":"https:\/\/we.automation-inside.com\/en\/wp-json\/wp\/v2\/posts\/9513\/revisions"}],"predecessor-version":[{"id":10400,"href":"https:\/\/we.automation-inside.com\/en\/wp-json\/wp\/v2\/posts\/9513\/revisions\/10400"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/we.automation-inside.com\/en\/wp-json\/wp\/v2\/media\/9514"}],"wp:attachment":[{"href":"https:\/\/we.automation-inside.com\/en\/wp-json\/wp\/v2\/media?parent=9513"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/we.automation-inside.com\/en\/wp-json\/wp\/v2\/categories?post=9513"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/we.automation-inside.com\/en\/wp-json\/wp\/v2\/tags?post=9513"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}