{"id":3042,"date":"2026-06-15T13:17:49","date_gmt":"2026-06-15T10:17:49","guid":{"rendered":"https:\/\/marshallai.com\/?post_type=solution&#038;p=3042"},"modified":"2026-08-28T13:36:33","modified_gmt":"2026-08-28T10:36:33","slug":"automated-optical-inspection-aoi","status":"publish","type":"solution","link":"https:\/\/marshallai.com\/fi\/solution\/automated-optical-inspection-aoi\/","title":{"rendered":"Automated Optical Inspection (AOI)"},"content":{"rendered":"<div class=\"mai-section gb-element-7c77d488 first-section\">\n<div class=\"mai-container_inner-content\">\n<div class=\"gb-element-3c142d71\">\n<div class=\"gb-element-3ef954b0 mai-reveal\">\n<p class=\"gb-text\"><a href=\"https:\/\/marshallai.com\/fi\/\" data-type=\"page\" data-id=\"25\">Home<\/a> \/ <a href=\"https:\/\/marshallai.com\/fi\/solutions\/\" data-type=\"page\" data-id=\"2395\">Solutions<\/a> \/ Automated Optical Inspection (AOI)<\/p>\n\n\n\n<h1 class=\"gb-text mai-reveal mai-headline\">Automated Optical Inspection That Runs at Full Line Speed<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Traditional automated optical inspection relies on fixed rule sets and controlled lighting conditions. It works until your product changes, your line speeds up, or a defect type appears that nobody programmed for.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">MarshallAI&#8217;s AI vision platform trains on your actual production environment \u2014 your parts, your lighting, your tolerances \u2014 and runs entirely on-premise with no cloud dependency. No retraining cycles waiting on a vendor. No model updates requiring internet connectivity. Just inspection that works at the speed your line demands.<\/p>\n\n\n\n<div class=\"gb-element-1c3832b0\">\n<a class=\"gb-text gb-text-10574e93 mai-btn-primary\" href=\"https:\/\/marshallai.com\/fi\/contact\/\">Request a demo<\/a>\n<\/div>\n<\/div>\n\n\n\n<div>\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6a9ae1f3e4125&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6a9ae1f3e4125\" class=\"wp-block-image size-large wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1500\" height=\"818\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/05\/2026-5_MarshallAI_illustration_cosmetic-aerosol5-overlay-1500x818.png\" alt=\"\" class=\"wp-image-2471\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/05\/2026-5_MarshallAI_illustration_cosmetic-aerosol5-overlay-1500x818.png 1500w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/05\/2026-5_MarshallAI_illustration_cosmetic-aerosol5-overlay-500x273.png 500w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/05\/2026-5_MarshallAI_illustration_cosmetic-aerosol5-overlay-768x419.png 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/05\/2026-5_MarshallAI_illustration_cosmetic-aerosol5-overlay-1536x838.png 1536w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/05\/2026-5_MarshallAI_illustration_cosmetic-aerosol5-overlay-2048x1117.png 2048w\" sizes=\"auto, (max-width: 1500px) 100vw, 1500px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section gb-element-207c56eb mai-bg-alt-1\">\n<div class=\"mai-container_inner-content gb-element-0ed52b43\">\n<div class=\"gb-element-367c01c4\">\n<div class=\"gb-text gb-text-a7fb84b8 mai-eyebrow\">Trusted by<\/div>\n<\/div>\n\n\n\n<div class=\"gb-element-0fbd3479\">\n<div>\n<img loading=\"lazy\" decoding=\"async\" width=\"695\" height=\"80\" class=\"gb-media-bc9dbb95\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Turvanasta-logo.png\" alt=\"\" title=\"Turvanasta logo\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Turvanasta-logo.png 695w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Turvanasta-logo-300x35.png 300w\" sizes=\"auto, (max-width: 695px) 100vw, 695px\" \/>\n<\/div>\n\n\n\n<div>\n<img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"80\" class=\"gb-media-86b01c58\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Taerosol-logo.png\" alt=\"\" title=\"Taerosol logo\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Taerosol-logo.png 400w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Taerosol-logo-300x60.png 300w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/>\n<\/div>\n\n\n\n<div>\n<img decoding=\"async\" class=\"gb-media-5a172836\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Hartwall-logo-svg.svg\" alt=\"\" title=\"Hartwall logo svg\"\/>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section gb-element-a7cd9bbe\">\n<div class=\"mai-container_inner-content gb-element-32ffddf5\">\n<div class=\"gb-element-575113d7 mai-reveal\">\n<p class=\"mai-list-title\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong><strong>Surface defects<\/strong><\/strong><\/span><\/p>\n\n\n\n<p class=\"gb-text mai-list-content\">Micro-cracks, scratches, pitting, and blemishes detected at full line speed.<\/p>\n\n\n\n<p class=\"mai-list-title\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong>Dimensional verification<\/strong><\/span><\/p>\n\n\n\n<p class=\"gb-text mai-list-content\">Measure critical features, tolerances, and geometry against defined limits without contact gauging or manual sampling.<\/p>\n\n\n\n<p class=\"mai-list-title\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong><strong>Label and marking validation<\/strong><\/strong><\/span><\/p>\n\n\n\n<p class=\"gb-text mai-list-content\">Verify laser etchings, printed batch codes, date stamps, and barcodes. Read OCR text and flag missing, rotated, or illegible marks.<\/p>\n\n\n\n<p class=\"mai-list-title\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong><strong>Assembly completeness<\/strong><\/strong><\/span><\/p>\n\n\n\n<p class=\"gb-text mai-list-content\">Confirm every component is present, correctly oriented, and properly seated. Catch missing O-rings, incorrect inserts, or misaligned parts.<\/p>\n\n\n\n<p class=\"mai-list-title\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong><strong>Multi-SKU differentiation<\/strong><\/strong><\/span><\/p>\n\n\n\n<p class=\"gb-text mai-list-content\">Distinguish near-identical product variants on the same line \u2014 different configurations, colour codes, or part numbers \u2014 without reprogramming.<\/p>\n\n\n\n<p class=\"mai-list-title\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong><strong><strong>Foreign object detection<\/strong><\/strong><\/strong><\/span><\/p>\n\n\n\n<p class=\"gb-text mai-list-content\">Identify contaminants, rogue parts, and out-of-spec materials.<\/p>\n<\/div>\n\n\n\n<div class=\"mai-reveal\">\n<img loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"1047\" class=\"gb-media-2cee0d01\" alt=\"\" title=\"MAI_illustration_cosmetic-aerosol2-lg\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg.webp 1920w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-300x164.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-1024x558.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-768x419.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-1536x838.webp 1536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/>\n\n\n\n<img loading=\"lazy\" decoding=\"async\" width=\"2400\" height=\"1792\" class=\"gb-media-6c90633a\" alt=\"\" title=\"2026-02_MarshallAI_illustration_push-pins\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_push-pins.png\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_push-pins.png 2400w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_push-pins-300x224.png 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_push-pins-1024x765.png 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_push-pins-768x573.png 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_push-pins-1536x1147.png 1536w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_push-pins-2048x1529.png 2048w\" sizes=\"auto, (max-width: 2400px) 100vw, 2400px\" \/>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section\">\n<h2 class=\"wp-block-heading has-text-align-center mai-reveal mai-headline\">Use case examples<\/h2>\n\n\n\n<div class=\"mai-container_inner-content gb-element-8f1e8c57\">\n<div class=\"gb-element-cc5a6eed\">\n<div class=\"gb-element-79f91d7c\">\n<div class=\"gb-element-def79192\">\n<img loading=\"lazy\" decoding=\"async\" width=\"1502\" height=\"510\" class=\"gb-media-5bc34334\" alt=\"\" title=\"2026-04_MarshallAI_optical_character-recognition\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/2026-04_MarshallAI_optical_character-recognition.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/2026-04_MarshallAI_optical_character-recognition.webp 1502w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/2026-04_MarshallAI_optical_character-recognition-500x170.webp 500w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/2026-04_MarshallAI_optical_character-recognition-1500x509.webp 1500w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/2026-04_MarshallAI_optical_character-recognition-768x261.webp 768w\" sizes=\"auto, (max-width: 1502px) 100vw, 1502px\" \/>\n<\/div>\n\n\n\n<div class=\"gb-element-149c1c88\">\n<h3 class=\"gb-text\">OCR from Hard-to-read Surfaces<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Read batch codes, date stamps, serial numbers, and part markings from embossed, laser-etched, dot-peen, inkjet, and debossed surfaces. Excellent performance on low contrast, non-ideal angles and difficult-to-read surface finishes.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-element-b5aee065\">\n<div class=\"gb-element-cf2c8214\">\n<img loading=\"lazy\" decoding=\"async\" width=\"360\" height=\"426\" class=\"gb-media-701bde1c\" alt=\"\" title=\"MAI-case-taero2-crop\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-case-taero2-crop.jpg\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-case-taero2-crop.jpg 360w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-case-taero2-crop-254x300.jpg 254w\" sizes=\"auto, (max-width: 360px) 100vw, 360px\" \/>\n<\/div>\n\n\n\n<div class=\"gb-element-a5aaa8ca\">\n<h3 class=\"gb-text gb-text-040109f7\">Defect detection<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Identify surface defects including micro-cracks, scratches, pitting, dents, burrs, and contamination on any part geometry \u2014 from flat sheet metal to complex moulded components.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-element-59b58b80\">\n<div class=\"gb-element-797f833b\">\n<img loading=\"lazy\" decoding=\"async\" width=\"540\" height=\"720\" class=\"gb-media-a099da91\" alt=\"\" title=\"MarshallAI_illustration_inspection_can\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/05\/MarshallAI_illustration_inspection_can.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/05\/MarshallAI_illustration_inspection_can.webp 540w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/05\/MarshallAI_illustration_inspection_can-375x500.webp 375w\" sizes=\"auto, (max-width: 540px) 100vw, 540px\" \/>\n<\/div>\n\n\n\n<div class=\"gb-element-f9348d66\">\n<h3 class=\"gb-text\">Label verification<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Verify that every label is present, correctly positioned, and contains accurate information. Verify and cross-reference barcodes, QR codes, batch numbers, expiry dates, and regulatory markings against expected values .<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section gb-element-62641e3d\">\n<div class=\"mai-container_inner-content\">\n<div class=\"gb-element-62143277\">\n<h2 class=\"gb-text gb-text-d1064ca6 mai-headline mai-reveal\">Case studies<\/h2>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-container_inner-content\">\n<div><ul class=\"gbp-list--unstyled gb-looper-5cf487fa\">\n<li class=\"gb-loop-item post-853 case-study type-case-study status-publish has-post-thumbnail hentry category-cosmetic-manufacturing category-quality-assurance tag-aerosol-manufacturing tag-case-study tag-computer-vision tag-cosmetic-manufacturing tag-defect-detection tag-edge-computing tag-machine-vision tag-quality-assurance\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/taerosol-automated-qa-in-high-mix-manufacturing\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"419\" alt=\"\" data-media-id=\"1462\" class=\"gb-media-264cf724\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-768x419.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-768x419.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-300x164.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-1024x558.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg-1536x838.webp 1536w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI_illustration_cosmetic-aerosol2-lg.webp 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/taerosol-automated-qa-in-high-mix-manufacturing\/\">Mastering QA in High-Mix Manufacturing: Rapid Changeovers and >99% Accuracy at Taerosol<\/a><\/span>\n\n\n\n<div>\n<p class=\"gb-text mai-card-article-text\">Contract manufacturing and frequent product changeovers used to mean a constant struggle with QA bottlenecks. Discover how Taerosol future-proofed their cosmetics line with a rapidly adaptable AI system that catches over 99% of complex label and packaging defects.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<p class=\"gb-text mai-article-card-tag\"><span>Cosmetic manufacturing<\/span> <span>Quality assurance<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n\n<li class=\"gb-loop-item post-2282 case-study type-case-study status-publish has-post-thumbnail hentry category-beverage-industry category-quality-assurance tag-beverage-industry tag-case-study tag-defect-detection tag-drinks-industry tag-edge-computing tag-label-verification tag-quality-assurance tag-rogue-can\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/eliminating-rogue-cans-high-speed-edge-ai-qa-in-beverage-manufacturing\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"573\" alt=\"\" data-media-id=\"68\" class=\"gb-media-264cf724\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_sheriff-cans-768x573.jpg\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_sheriff-cans-768x573.jpg 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_sheriff-cans-300x224.jpg 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_sheriff-cans-1024x765.jpg 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/2026-02_MarshallAI_illustration_sheriff-cans.jpg 1200w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/eliminating-rogue-cans-high-speed-edge-ai-qa-in-beverage-manufacturing\/\">Eliminating Rogue Cans: High-Speed QA in Beverage Manufacturing<\/a><\/span>\n\n\n\n<div>\n<p class=\"gb-text mai-card-article-text\">A global beverage manufacturer spent 15 years trying to reliably intercept &#8220;rogue cans&#8221; on their high-speed filling lines. Discover how MarshallAI deployed a minimal latency edge vision system to inspect 2,500 cans per minute, preventing mismatched products and costly mechanical jams with near-perfect precision.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<p class=\"gb-text mai-article-card-tag\"><span>Beverage industry<\/span> <span>Quality assurance<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n\n<li class=\"gb-loop-item post-2213 case-study type-case-study status-publish has-post-thumbnail hentry category-manufacturing category-quality-assurance tag-case-study tag-computer-vision tag-defect-detection tag-edge-computing tag-false-reject-reduction tag-high-speed-inspection tag-machine-vision tag-manufacturing tag-metal-manufacturing tag-quality-assurance tag-sub-millimeter-precision\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/turvanasta-sub-millimeter-defect-detection\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"455\" alt=\"\" data-media-id=\"2172\" class=\"gb-media-264cf724\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-turvanasta-studs2-768x455.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-turvanasta-studs2-768x455.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-turvanasta-studs2-300x178.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-turvanasta-studs2-1024x607.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-turvanasta-studs2.webp 1046w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/turvanasta-sub-millimeter-defect-detection\/\">Sub-Millimeter Quality Control at Scale: Securing Yield for Turvanasta<\/a><\/span>\n\n\n\n<div>\n<p class=\"gb-text mai-card-article-text\">Legacy vision systems were throwing away perfectly good material. Discover how MarshallAI deployed an edge computing solution to eliminate false rejects and inspect hundreds of millions of sub-millimeter metal parts with absolute precision.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<p class=\"gb-text mai-article-card-tag\"><span>Manufacturing<\/span> <span>Quality assurance<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n<\/ul><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section\">\n<h2 class=\"gb-text gb-text-006c1760 mai-headline mai-reveal\">MarshallAI for Automated Visual Inspection<\/h2>\n\n\n\n<div class=\"mai-container_inner-content\">\n<div class=\"gb-element-b912bdcb\">\n<div class=\"gb-element-e58c60ec\">\n<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"902\" class=\"gb-media-31ad73a3\" alt=\"\" title=\"MAI-icon-performance-trans-v2\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MAI-icon-performance-trans-v2.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MAI-icon-performance-trans-v2.webp 900w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MAI-icon-performance-trans-v2-300x300.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MAI-icon-performance-trans-v2-150x150.webp 150w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MAI-icon-performance-trans-v2-768x770.webp 768w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/>\n\n\n\n<h3 class=\"gb-text\">2500+ ppm<\/h3>\n\n\n\n<p class=\"gb-text\">Sustained, multi-feature inline inspection speed without buffering delays or frame drops.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-ef2d39cd\">\n<img loading=\"lazy\" decoding=\"async\" width=\"279\" height=\"256\" class=\"gb-media-dd676ea2\" alt=\"\" title=\"MAI-icon-accuracy\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/05\/MAI-icon-accuracy.svg\"\/>\n\n\n\n<h3 class=\"gb-text\">99,995% accuracy<\/h3>\n\n\n\n<p class=\"gb-text\">Field-proven precision across high-speed production lines. Continuous auto-tuning improves the model accuracy.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-6b3c2c98\">\n<img loading=\"lazy\" decoding=\"async\" width=\"1094\" height=\"1254\" class=\"gb-media-9c399266\" alt=\"\" title=\"MAI-icon-speed\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/05\/MAI-icon-speed.svg\"\/>\n\n\n\n<h3 class=\"gb-text\">Fast deployment<\/h3>\n\n\n\n<p class=\"gb-text\">Build, train, and deploy a functional inspection model from scratch using only 5-10 images.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-5ed1f395\">\n<img decoding=\"async\" class=\"gb-media-0b193b11\" alt=\"\" title=\"MAI-icon-security-shield-trans\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MAI-icon-security-shield-trans.svg\"\/>\n\n\n\n<h3 class=\"gb-text\">Data Privacy<\/h3>\n\n\n\n<p class=\"gb-text\">Your proprietary production data never leaves the factory floor. 100% on-site processing.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-f08846bc\">\n<img decoding=\"async\" class=\"gb-media-4ed66ce0\" alt=\"\" title=\"MAI-icon-agnostic-trans\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MAI-icon-agnostic-trans.svg\"\/>\n\n\n\n<h3 class=\"gb-text\">Industrial integrations &amp; Direct actuation<\/h3>\n\n\n\n<p class=\"gb-text\">MarshallAI connects with ERP, MES and SCADA systems and triggers physical diverters, gates, or PLCs via edge-processing with near-zero latency.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section\">\n<div class=\"mai-container_inner-content\">\n<div class=\"gb-element-002df6c4\">\n<h2 class=\"gb-text gbp-section__headline mai-reveal mai-headline\">Answers about Automated Optical Inspection<\/h2>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-container_inner-content\">\n<div class=\"gb-accordion\" data-transition=\"fade\">\n<div class=\"gb-accordion__item gbp-card--border gb-accordion__item-a91230e8\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-95a2a1e6\" id=\"gb-accordion-toggle-95a2a1e6\">\n<h3 class=\"gb-text gbp-card__title gb-text-8462845e\">What is Automated Optical Inspection (AOI)?<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-837853b1\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-78547f3f\">\n<div class=\"gb-element-32d8ed4e\">\n<p class=\"gb-text\">Automated optical inspection (AOI) is the use of camera systems and image analysis software to automatically examine products during or after manufacturing. <\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion__item gbp-card--border gb-accordion__item-ea60d4d0\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-0a3cc5d2\" id=\"gb-accordion-toggle-0a3cc5d2\">\n<h3 class=\"gb-text gbp-card__title gb-text-2e32a8ee\">What can Automated Optical Inspection be used for?<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-875e7dfc\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-7b045ed7\">\n<div class=\"gb-element-aa0bdc02\">\n<p class=\"gb-text\">AOI systems check for surface defects, dimensional accuracy, assembly completeness, label correctness, and foreign object contamination. AOI systems can deliver consistent quality control at production line speeds without manual labour or human intervention.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion__item gbp-card--border gb-accordion__item-4c5dbfe6\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-d836ce49\" id=\"gb-accordion-toggle-d836ce49\">\n<h3 class=\"gb-text gbp-card__title gb-text-19946ecb\">How Automated Optical Inspection works?<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-a288c271\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-01fabe42\">\n<div class=\"gb-element-57f65e32\">\n<p class=\"gb-text\">An AOI system captures images of each part as it passes through an inspection station. The software analyses each image against a reference model or pre-programmed rules, flags non-conforming parts, and triggers a reject or alert signal in real time. <\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion__item gbp-card--border gb-accordion__item-078c35d8\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-258caa04\" id=\"gb-accordion-toggle-258caa04\">\n<h3 class=\"gb-text gbp-card__title gb-text-5c4a23a9\">How are modern AI-based AOI systems different from traditional AOI?<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-f4135bb2\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-a1e9fe15\">\n<div class=\"gb-element-30d2049d\">\n<p class=\"gb-text\">Modern AI-based AOI systems build their reference model by training on images of known good and defective parts from your actual production environment, rather than relying on manually programmed rules.<\/p>\n\n\n\n<figure class=\"wp-block-table mai-reveal\"><table class=\"has-fixed-layout\"><thead><tr><th><\/th><th>Traditional AOI<\/th><th>AI-Powered AOI<\/th><\/tr><\/thead><tbody><tr><td><strong>Setup<\/strong><\/td><td>Manual rule programming per product<\/td><td>Trains from production images<\/td><\/tr><tr><td><strong>Defect types<\/strong><\/td><td>Only catches pre-defined defects<\/td><td>Generalises to new defect types<\/td><\/tr><tr><td><strong>Product changeover<\/strong><\/td><td>Requires reprogramming<\/td><td>Retrain from new sample images<\/td><\/tr><tr><td><strong>Accuracy<\/strong><\/td><td>Sensitive to lighting and variation<\/td><td>Robust to environmental variation<\/td><\/tr><tr><td><strong>False reject rate<\/strong><\/td><td>Higher \u2014 rigid thresholds<\/td><td>Lower \u2014 learned tolerances<\/td><\/tr><tr><td><strong>Deployment time<\/strong><\/td><td>Weeks to months<\/td><td>Hours to days<\/td><\/tr><tr><td><strong>Infrastructure<\/strong><\/td><td>Often proprietary hardware<\/td><td>Works with standard IP cameras<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>AI based turnkey solution for Automated Optical Inspection and Automated Visual Inspection. Proven accuracy and reliability.<\/p>","protected":false},"featured_media":2471,"template":"","meta":{"content-type":"","footnotes":""},"categories":[45,46],"tags":[],"class_list":["post-3042","solution","type-solution","status-publish","has-post-thumbnail","hentry","category-manufacturing","category-quality-assurance"],"_links":{"self":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/solution\/3042","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/solution"}],"about":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/types\/solution"}],"version-history":[{"count":12,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/solution\/3042\/revisions"}],"predecessor-version":[{"id":3756,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/solution\/3042\/revisions\/3756"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/media\/2471"}],"wp:attachment":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/media?parent=3042"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/categories?post=3042"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/tags?post=3042"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}