{"id":8694,"date":"2026-03-12T23:16:51","date_gmt":"2026-03-12T22:16:51","guid":{"rendered":"https:\/\/cubert-hyperspectral.com\/?p=8694"},"modified":"2026-10-16T11:58:26","modified_gmt":"2026-10-16T09:58:26","slug":"materialspezifische-detektion-in-industriellen-anwendungen","status":"publish","type":"post","link":"https:\/\/cubert-hyperspectral.com\/de\/wissen\/materialspezifische-detektion-in-industriellen-anwendungen\/","title":{"rendered":"Materialspezifische Detektion in industriellen Anwendungen"},"content":{"rendered":"<style>.kadence-column8694_6ffadf-0a > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column8694_6ffadf-0a > .kt-inside-inner-col{flex-direction:column;}.kadence-column8694_6ffadf-0a > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column8694_6ffadf-0a > .kt-inside-inner-col{background-color:rgba(0, 0, 0, 0);}.kadence-column8694_6ffadf-0a > .kt-inside-inner-col:before{opacity:0.85;background-color:var(--global-palette7, #EDF2F7);}.kadence-column8694_6ffadf-0a{position:relative;}@media all and (max-width: 1024px){.kadence-column8694_6ffadf-0a > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column8694_6ffadf-0a > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column8694_6ffadf-0a kb-section-has-overlay\"><div class=\"kt-inside-inner-col\"><style>.kb-row-layout-id8694_b0298e-9a > .kt-row-column-wrap{align-content:center;}:where(.kb-row-layout-id8694_b0298e-9a > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:center;}.kb-row-layout-id8694_b0298e-9a > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);max-width:var( --global-content-width, 1490px );padding-left:var(--global-content-edge-padding);padding-right:var(--global-content-edge-padding);padding-top:var(--global-kb-spacing-3xl, 6.5rem);padding-bottom:var(--global-kb-spacing-3xl, 6.5rem);min-height:80vh;grid-template-columns:minmax(0, 1fr);}.kb-row-layout-id8694_b0298e-9a{background-color:rgba(0,0,0,0);}.kb-row-layout-id8694_b0298e-9a > .kt-row-layout-overlay{opacity:0.60;}@media all and (max-width: 1024px){.kb-row-layout-wrap.wp-block-kadence-rowlayout.kb-row-layout-id8694_b0298e-9a{margin-top:var(--global-kb-spacing-4xl, 8rem);}}@media all and (max-width: 1024px){.kb-row-layout-id8694_b0298e-9a > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}@media all and (max-width: 767px){.kb-row-layout-id8694_b0298e-9a > .kt-row-column-wrap{padding-top:var(--global-kb-spacing-sm, 1.5rem);grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id8694_b0298e-9a alignfull kt-row-has-bg wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-1-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-middle kt-inner-column-height-full kb-theme-content-width\">\n<style>.kadence-column8694_701b91-d9 > .kt-inside-inner-col{display:flex;}.kadence-column8694_701b91-d9 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column8694_701b91-d9 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}.kadence-column8694_701b91-d9 > .kt-inside-inner-col > .aligncenter{width:100%;}.kt-row-column-wrap > .kadence-column8694_701b91-d9{align-self:center;}.kt-inner-column-height-full:not(.kt-has-1-columns) > .wp-block-kadence-column.kadence-column8694_701b91-d9{align-self:auto;}.kt-inner-column-height-full:not(.kt-has-1-columns) > .wp-block-kadence-column.kadence-column8694_701b91-d9 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}.kadence-column8694_701b91-d9 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column8694_701b91-d9{z-index:10;position:relative;}.kadence-column8694_701b91-d9, .kt-inside-inner-col > .kadence-column8694_701b91-d9:not(.specificity){margin-right:0px;}@media all and (max-width: 1024px){.kt-row-column-wrap > .kadence-column8694_701b91-d9{align-self:center;}}@media all and (max-width: 1024px){.kt-inner-column-height-full:not(.kt-has-1-columns) > .wp-block-kadence-column.kadence-column8694_701b91-d9{align-self:auto;}}@media all and (max-width: 1024px){.kt-inner-column-height-full:not(.kt-has-1-columns) > .wp-block-kadence-column.kadence-column8694_701b91-d9 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 1024px){.kadence-column8694_701b91-d9 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kt-row-column-wrap > .kadence-column8694_701b91-d9{align-self:center;}.kt-inner-column-height-full:not(.kt-has-1-columns) > .wp-block-kadence-column.kadence-column8694_701b91-d9{align-self:auto;}.kt-inner-column-height-full:not(.kt-has-1-columns) > .wp-block-kadence-column.kadence-column8694_701b91-d9 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}.kadence-column8694_701b91-d9 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column8694_701b91-d9\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedbtn.kb-btns8694_2ed6b9-cc{padding-bottom:var(--global-kb-spacing-md, 2rem);gap:var(--global-kb-gap-xs, 0.5rem );justify-content:flex-start;align-items:center;}.kt-btns8694_2ed6b9-cc .kt-button{font-weight:normal;font-style:normal;}.kt-btns8694_2ed6b9-cc .kt-btn-wrap-0{margin-right:5px;}.wp-block-kadence-advancedbtn.kt-btns8694_2ed6b9-cc .kt-btn-wrap-0 .kt-button{color:#555555;border-color:#555555;}.wp-block-kadence-advancedbtn.kt-btns8694_2ed6b9-cc .kt-btn-wrap-0 .kt-button:hover, .wp-block-kadence-advancedbtn.kt-btns8694_2ed6b9-cc .kt-btn-wrap-0 .kt-button:focus{color:#ffffff;border-color:#444444;}.wp-block-kadence-advancedbtn.kt-btns8694_2ed6b9-cc .kt-btn-wrap-0 .kt-button::before{display:none;}.wp-block-kadence-advancedbtn.kt-btns8694_2ed6b9-cc .kt-btn-wrap-0 .kt-button:hover, .wp-block-kadence-advancedbtn.kt-btns8694_2ed6b9-cc .kt-btn-wrap-0 .kt-button:focus{background:#444444;}<\/style>\n<div class=\"wp-block-kadence-advancedbtn kb-buttons-wrap kb-btns8694_2ed6b9-cc\"><style>ul.menu .wp-block-kadence-advancedbtn .kb-btn8694_c091b4-9d.kb-button{width:initial;}<\/style><span class=\"kb-button kt-button button kb-btn8694_c091b4-9d kt-btn-size-standard kt-btn-width-type-auto kb-btn-global-outline kt-btn-has-text-true kt-btn-has-svg-false wp-block-kadence-singlebtn kb-preset--outline\"><span class=\"kt-btn-inner-text\">Science<\/span><\/span>\n\n<style>ul.menu .wp-block-kadence-advancedbtn .kb-btn8694_04f7f2-f5.kb-button{width:initial;}<\/style><span class=\"kb-button kt-button button kb-btn8694_04f7f2-f5 kt-btn-size-standard kt-btn-width-type-auto kb-btn-global-outline kt-btn-has-text-true kt-btn-has-svg-false wp-block-kadence-singlebtn kb-preset--outline\"><span class=\"kt-btn-inner-text\">Technology<\/span><\/span><\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading8694_18e525-02, .wp-block-kadence-advancedheading.kt-adv-heading8694_18e525-02[data-kb-block=\"kb-adv-heading8694_18e525-02\"]{padding-top:0px;margin-top:0px;font-size:60px;line-height:68px;font-style:normal;text-shadow:2px 2px 5px rgba(0, 0, 0, 0.2);}.wp-block-kadence-advancedheading.kt-adv-heading8694_18e525-02 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading8694_18e525-02[data-kb-block=\"kb-adv-heading8694_18e525-02\"] mark.kt-highlight{font-style:normal;color:var(--global-palette8, #F7FAFC);-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading8694_18e525-02 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading8694_18e525-02[data-kb-block=\"kb-adv-heading8694_18e525-02\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 1024px){.wp-block-kadence-advancedheading.kt-adv-heading8694_18e525-02, .wp-block-kadence-advancedheading.kt-adv-heading8694_18e525-02[data-kb-block=\"kb-adv-heading8694_18e525-02\"]{text-shadow:2px 2px 5px rgba(0, 0, 0, 0.2);font-size:40px;line-height:48px;}}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading8694_18e525-02, .wp-block-kadence-advancedheading.kt-adv-heading8694_18e525-02[data-kb-block=\"kb-adv-heading8694_18e525-02\"]{text-shadow:2px 2px 5px rgba(0, 0, 0, 0.2);font-size:30px;line-height:40px;}}<\/style>\n<h1 class=\"kt-adv-heading8694_18e525-02 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading8694_18e525-02\">VON GEMISCHT ZU GETRENNT: ZUVERL\u00c4SSIGE IDENTIFIZIERUNG UND <mark true=\"true\" class=\"kt-highlight\">SORTIERUNG VON PVC<\/mark> MIT HYPERSPEKTRALER TECHNOLOGIE<\/h1>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading8694_653af2-07, .wp-block-kadence-advancedheading.kt-adv-heading8694_653af2-07[data-kb-block=\"kb-adv-heading8694_653af2-07\"]{max-width:700px;font-size:28px;line-height:36px;font-weight:100;font-style:normal;font-family:Roboto;}.wp-block-kadence-advancedheading.kt-adv-heading8694_653af2-07 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading8694_653af2-07[data-kb-block=\"kb-adv-heading8694_653af2-07\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading8694_653af2-07 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading8694_653af2-07[data-kb-block=\"kb-adv-heading8694_653af2-07\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading8694_653af2-07 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading8694_653af2-07\">Hyperspektrale Intelligenz f\u00fcr die Industrie: Materialspezifische Detektion in industriellen Anwendungen<\/p>\n\n\n<style>.wp-block-kadence-iconlist.kt-svg-icon-list-items8694_b1be88-ee:not(.this-stops-third-party-issues){margin-top:0px;margin-bottom:0px;}.wp-block-kadence-iconlist.kt-svg-icon-list-items8694_b1be88-ee ul.kt-svg-icon-list:not(.this-prevents-issues):not(.this-stops-third-party-issues):not(.tijsloc){margin-top:0px;margin-right:0px;margin-bottom:var(--global-kb-spacing-sm, 1.5rem);margin-left:0px;}.wp-block-kadence-iconlist.kt-svg-icon-list-items8694_b1be88-ee ul.kt-svg-icon-list{grid-row-gap:5px;}.wp-block-kadence-iconlist.kt-svg-icon-list-items8694_b1be88-ee .kb-svg-icon-wrap{font-size:25px;}.wp-block-kadence-iconlist.kt-svg-icon-list-items8694_b1be88-ee ul.kt-svg-icon-list .kt-svg-icon-list-item-wrap .kt-svg-icon-list-single{margin-right:15px;}.kt-svg-icon-list-items8694_b1be88-ee ul.kt-svg-icon-list .kt-svg-icon-list-item-wrap, .kt-svg-icon-list-items8694_b1be88-ee ul.kt-svg-icon-list .kt-svg-icon-list-item-wrap a{font-size:18px;line-height:30px;letter-spacing:0.5px;}.kt-svg-icon-list-items8694_b1be88-ee ul.kt-svg-icon-list .kt-svg-icon-list-level-0 .kt-svg-icon-list-single svg{font-size:20px;}.wp-block-kadence-iconlist.kt-svg-icon-list-items8694_b1be88-ee .wp-block-kadence-listitem a{text-decoration:underline;}.wp-block-kadence-iconlist.kt-svg-icon-list-items8694_b1be88-ee ul.kt-svg-icon-list .wp-block-kadence-listitem a{color:var(--global-palette8, #F7FAFC);}<\/style>\n<div class=\"wp-block-kadence-iconlist kt-svg-icon-list-items kt-svg-icon-list-items8694_b1be88-ee kt-svg-icon-list-columns-1 alignnone kt-list-icon-aligntop\"><ul class=\"kt-svg-icon-list\"><style>.kt-svg-icon-list-item-8694_166867-d2 .kt-svg-icon-list-text mark.kt-highlight{background-color:unset;font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}<\/style>\n<li class=\"wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-8694_166867-d2\"><span class=\"kb-svg-icon-wrap kb-svg-icon-kb-custom-9483 kt-svg-icon-list-single\"><svg viewBox=\"0 0 30 24\"  fill=\"currentColor\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"  aria-hidden=\"true\"><defs ><style \/><\/defs><path class=\"st0\" d=\"M26,0H4C1.8,0,0,1.8,0,4v16c0,2.2,1.8,4,4,4h22c2.2,0,4-1.8,4-4V4c0-2.2-1.8-4-4-4ZM10,10c0-2.7,2.3-5,5-5s5,2.2,5,5-2.3,5-5,5-5-2.2-5-5ZM15,17c4.1,0,7.6,2.1,8.6,5H6.3c1.1-2.9,4.6-5,8.6-5ZM28,20c0,1.1-.9,2-2,2h-.3c-.8-2.9-3.3-5.3-6.7-6.4,1.8-1.3,3-3.3,3-5.7,0-3.8-3.2-7-7-7s-7,3.1-7,7,1.2,4.4,3,5.7c-3.3,1.1-5.9,3.4-6.7,6.4h-.2c-1.1,0-2-.9-2-2V4c0-1.1.9-2,2-2h22c1.1,0,2,.9,2,2v16Z\"\/><\/svg><\/span><span class=\"kt-svg-icon-list-text\">Autor: <a href=\"#author\" title=\"\">Dr. Matthias Locherer<\/a><\/span><\/li>\n\n\n<style>.kt-svg-icon-list-item-8694_7c0cc8-c7 .kt-svg-icon-list-text mark.kt-highlight{background-color:unset;font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}<\/style>\n<li class=\"wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-8694_7c0cc8-c7\"><span class=\"kb-svg-icon-wrap kb-svg-icon-kb-custom-9484 kt-svg-icon-list-single\"><svg viewBox=\"0 0 30 24\"  fill=\"currentColor\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"  aria-hidden=\"true\"><defs ><style \/><\/defs><path class=\"st0\" d=\"M26,24H4c-2.2,0-4-1.8-4-4V4C0,1.8,1.8,0,4,0h22c2.2,0,4,1.8,4,4v16c0,2.2-1.8,4-4,4ZM4,2c-1.1,0-2,.9-2,2v16c0,1.1.9,2,2,2h22c1.1,0,2-.9,2-2V4c0-1.1-.9-2-2-2H4Z\"\/><polygon class=\"st0\" points=\"15.4 13 8 13 8 11 14.6 11 18.3 7.3 19.7 8.7 15.4 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Oktober 2026<\/span><\/li>\n<\/ul><\/div>\n<\/div><\/div>\n\n<\/div><\/div><\/div><\/div>\n\n\n<style>.kadence-column8694_81e880-e4 > .kt-inside-inner-col{padding-top:var(--global-kb-spacing-3xl, 6.5rem);}.kadence-column8694_81e880-e4 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column8694_81e880-e4 > .kt-inside-inner-col{flex-direction:column;}.kadence-column8694_81e880-e4 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column8694_81e880-e4 > .kt-inside-inner-col:before{opacity:0.9;background-color:var(--global-palette9, #ffffff);}.kadence-column8694_81e880-e4, .kadence-column8694_81e880-e4 h1, .kadence-column8694_81e880-e4 h2, .kadence-column8694_81e880-e4 h3, .kadence-column8694_81e880-e4 h4, .kadence-column8694_81e880-e4 h5, .kadence-column8694_81e880-e4 h6{color:var(--global-palette4, #2D3748);}.kadence-column8694_81e880-e4 a{color:var(--global-palette4, #2D3748);}.kadence-column8694_81e880-e4 a:hover{color:var(--global-palette3, 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1rem);}.kadence-column8694_b45a10-42 > .kt-inside-inner-col{flex-direction:column;}.kadence-column8694_b45a10-42 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column8694_b45a10-42 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column8694_b45a10-42{position:relative;}@media all and (max-width: 1024px){.kadence-column8694_b45a10-42 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column8694_b45a10-42 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column8694_b45a10-42 kb-section-is-sticky\"><div class=\"kt-inside-inner-col\"><style>.kb-table-of-content-nav.kb-table-of-content-id11687_25a3fb-1f .kb-table-of-content-wrap{padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.kb-table-of-content-nav.kb-table-of-content-id11687_25a3fb-1f 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.kb-table-of-contents__entry{color:#be2800;}@media all and (max-width: 767px){.kb-table-of-content-nav.kb-table-of-content-id11687_25a3fb-1f .kb-table-of-contents-title{font-size:20px;}}<\/style><\/div><\/div>\n\n\n<style>.kadence-column8694_bc4857-8a > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column8694_bc4857-8a > .kt-inside-inner-col{flex-direction:column;}.kadence-column8694_bc4857-8a > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column8694_bc4857-8a > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column8694_bc4857-8a a{color:#e64600;}.kadence-column8694_bc4857-8a a:hover{color:var(--global-palette13, #3182CE);}.kadence-column8694_bc4857-8a{position:relative;}.kadence-column8694_bc4857-8a, .kt-inside-inner-col > .kadence-column8694_bc4857-8a:not(.specificity){margin-top:-7px;}@media all and (max-width: 1024px){.kadence-column8694_bc4857-8a > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column8694_bc4857-8a > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column8694_bc4857-8a\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading8694_bcad20-33, .wp-block-kadence-advancedheading.kt-adv-heading8694_bcad20-33[data-kb-block=\"kb-adv-heading8694_bcad20-33\"]{font-size:30px;font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading8694_bcad20-33 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading8694_bcad20-33[data-kb-block=\"kb-adv-heading8694_bcad20-33\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading8694_bcad20-33 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading8694_bcad20-33[data-kb-block=\"kb-adv-heading8694_bcad20-33\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 1024px){.wp-block-kadence-advancedheading.kt-adv-heading8694_bcad20-33, .wp-block-kadence-advancedheading.kt-adv-heading8694_bcad20-33[data-kb-block=\"kb-adv-heading8694_bcad20-33\"]{font-size:30px;}}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading8694_bcad20-33, .wp-block-kadence-advancedheading.kt-adv-heading8694_bcad20-33[data-kb-block=\"kb-adv-heading8694_bcad20-33\"]{font-size:24px;}}<\/style>\n<h2 class=\"kt-adv-heading8694_bcad20-33 H_overline wp-block-kadence-advancedheading has-theme-palette-7-color has-text-color\" data-kb-block=\"kb-adv-heading8694_bcad20-33\">Relevanz und Herausforderung<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Die zuverl\u00e4ssige Identifizierung und Trennung von Kunststoffen ist ein zentraler Bestandteil moderner Recyclingsysteme. PVC (Polyvinylchlorid) stellt aufgrund seiner spektralen Variabilit\u00e4t eine besondere Herausforderung dar, die durch Pigmente, Additive, thermische Alterung und die Materialherkunft beeinflusst wird. In Mischfraktionen mit PE, PP und anderen Kunststoffen wird eine materialspezifische Detektion daher technisch anspruchsvoll.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Im Rahmen seiner strategischen Initiative zur Erforschung fortschrittlicher Sortiertechnologien arbeitete ROVI-TECH (Belgien) mit der Cubert GmbH zusammen, um die industrielle Anwendbarkeit der hyperspektralen Bildgebung f\u00fcr eine pr\u00e4zise PVC-Trennung unter realistischen Sortierbedingungen zu bewerten.Forschungsansatz \u2013 Methodisches Vorgehen im Praxistest<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Initiiert von ROVI-TECH (Belgien) untersuchte die Studie hyperspektrale Sortiertechnologien unter industrie\u00adrelevanten Bedingungen. Zwei Kamerasysteme von Cubert kamen dabei zum Einsatz:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>ULTRIS XMR<\/strong> (sichtbares und nahinfrarotes Spektrum \u2013 VNIR)<\/li>\n\n\n\n<li><strong>ULTRIS SWIR 1<\/strong> (kurzwelliges Infrarot \u2013 SWIR)<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Es wurden heterogene Kunststoffproben mit unterschiedlichen Farben, Urspr\u00fcngen und chemischen Zusammensetzungen getestet. Modelle des maschinellen Lernens wurden mit zuvor ungesehenen Proben trainiert und validiert.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading8694_fd626d-6a, .wp-block-kadence-advancedheading.kt-adv-heading8694_fd626d-6a[data-kb-block=\"kb-adv-heading8694_fd626d-6a\"]{font-size:30px;font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading8694_fd626d-6a mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading8694_fd626d-6a[data-kb-block=\"kb-adv-heading8694_fd626d-6a\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading8694_fd626d-6a img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading8694_fd626d-6a[data-kb-block=\"kb-adv-heading8694_fd626d-6a\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 1024px){.wp-block-kadence-advancedheading.kt-adv-heading8694_fd626d-6a, .wp-block-kadence-advancedheading.kt-adv-heading8694_fd626d-6a[data-kb-block=\"kb-adv-heading8694_fd626d-6a\"]{font-size:30px;}}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading8694_fd626d-6a, .wp-block-kadence-advancedheading.kt-adv-heading8694_fd626d-6a[data-kb-block=\"kb-adv-heading8694_fd626d-6a\"]{font-size:24px;}}<\/style>\n<h2 class=\"kt-adv-heading8694_fd626d-6a H_overline wp-block-kadence-advancedheading has-theme-palette-7-color has-text-color\" data-kb-block=\"kb-adv-heading8694_fd626d-6a\">Spektrale Wahrheit unter industriellen Bedingungen<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Analysen mit der <strong>ULTRIS XMR<\/strong> zeigten eine deutliche Variabilit\u00e4t innerhalb der Gruppen PVC, PE und PP. Dies f\u00fchrte zu \u00fcberlappenden spektralen Signaturen im VNIR-Bereich (Abb. 1). W\u00e4hrend kontrollierte Tests pr\u00e4zise Klassifikationsergebnisse lieferten, sank die Genauigkeit unter realistischen Bedingungen: Die Gesamtgenauigkeit lag bei 81 %, die Genauigkeit f\u00fcr PVC jedoch nur bei 62 % (Abb. 2).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Erg\u00e4nzende physikalische Methoden wie der <strong>Schwimm-\/Sinktest<\/strong> halfen dabei, \u00dcberklassifikationen zu korrigieren. Falsch-negative Ergebnisse f\u00fcr PVC blieben jedoch weiterhin eine Herausforderung.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Im Gegensatz dazu erm\u00f6glichte die <strong>ULTRIS SWIR 1<\/strong> eine durchgehend zuverl\u00e4ssige PVC-Erkennung \u2013 selbst bei variierenden Farben und Oberfl\u00e4chenmerkmalen (Abb. 3). Die Validierung zeigte ebenfalls eine Gesamtgenauigkeit von 81 %, jedoch mit einer PVC-Erkennungsrate von <strong>100 %<\/strong>. Fehlklassifikationen konnten mithilfe physikalischer Trenntechniken weiter reduziert werden (Abb. 4).<\/p>\n\n\n<style>.kb-image8694_012a65-4a .kb-image-has-overlay:after{opacity:0.3;}<\/style>\n<figure class=\"wp-block-kadence-image kb-image8694_012a65-4a size-full\"><a href=\"https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic1.png\" class=\"kb-advanced-image-link\"><img loading=\"lazy\" decoding=\"async\" width=\"579\" height=\"230\" src=\"https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic1.png\" alt=\"Graphic1\" class=\"kb-img wp-image-8685\" srcset=\"https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic1.png 579w, https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic1-300x119.png 300w\" sizes=\"auto, (max-width: 579px) 100vw, 579px\" \/><\/a><figcaption>Abb.1 Beispiel einer spektralen Signatur von zehn Kunststofftypen, einschlie\u00dflich PVC, PP und PE, aufgenommen mit der <strong>ULTRIS XMR<\/strong>.<\/figcaption><\/figure>\n\n\n<style>.kb-image8694_33193f-2d .kb-image-has-overlay:after{opacity:0.3;}<\/style>\n<figure class=\"wp-block-kadence-image kb-image8694_33193f-2d size-full\"><a href=\"https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic2.png\" class=\"kb-advanced-image-link\"><img loading=\"lazy\" decoding=\"async\" width=\"319\" height=\"293\" src=\"https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic2.png\" alt=\"Graphic2\" class=\"kb-img wp-image-8686\" srcset=\"https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic2.png 319w, https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic2-300x276.png 300w\" sizes=\"auto, (max-width: 319px) 100vw, 319px\" \/><\/a><figcaption>Abb.2 Beispielanalyse und Validierung eines ULTRIS-XMR-Datensatzes. RGB-Visualisierung eines XMR-Datensatzes mit PVC und weiteren Klassen (oben links). Klassifikationsergebnis auf Basis des mit Trainingsdaten erstellten Modells (unten links). Visualisierung korrekt und falsch klassifizierter Proben (oben rechts). Konfusionsmatrix zur Quantifizierung von Klassifikationsfehlern (unten rechts), entsprechend der Visualisierung oben rechts (rot = falsch klassifizierte Pixel, gr\u00fcn = korrekt klassifizierte Pixel). Die Gesamtgenauigkeit dieser Validierung betr\u00e4gt <strong>81 %<\/strong>, mit einer PVC-Genauigkeit von <strong>62 %<\/strong><\/figcaption><\/figure>\n\n\n<style>.kb-image8694_923a64-b9 .kb-image-has-overlay:after{opacity:0.3;}<\/style>\n<figure class=\"wp-block-kadence-image kb-image8694_923a64-b9 size-full\"><a href=\"https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic3.png\" class=\"kb-advanced-image-link\"><img loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"255\" src=\"https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic3.png\" alt=\"Graphic3\" class=\"kb-img wp-image-8687\" srcset=\"https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic3.png 512w, https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic3-300x149.png 300w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \/><\/a><figcaption>Abb.3 Beispiel einer spektralen Signatur von Kunststofftypen, aufgenommen mit der <strong>ULTRIS SWIR1<\/strong>.<\/figcaption><\/figure>\n\n\n<style>.kb-image8694_510453-b6 .kb-image-has-overlay:after{opacity:0.3;}<\/style>\n<figure class=\"wp-block-kadence-image kb-image8694_510453-b6 size-full\"><a href=\"https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic4.png\" class=\"kb-advanced-image-link\"><img loading=\"lazy\" decoding=\"async\" width=\"325\" height=\"301\" src=\"https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic4.png\" alt=\"Graphic4\" class=\"kb-img wp-image-8688\" srcset=\"https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic4.png 325w, https:\/\/cubert-hyperspectral.com\/wp-content\/uploads\/2026\/03\/Graphic4-300x278.png 300w\" sizes=\"auto, (max-width: 325px) 100vw, 325px\" \/><\/a><figcaption>Abb.4 Beispielanalyse und Validierung eines ULTRIS-SWIR-Datensatzes. Falschfarben-Darstellung eines SWIR-Datensatzes mit PVC und weiteren Klassen (oben links). Klassifikationsergebnis auf Basis des mit Trainingsdaten trainierten Modells (unten links). Visualisierung korrekt und falsch klassifizierter Proben (oben rechts). Konfusionsmatrix zur Quantifizierung von Klassifikationsfehlern (unten rechts), entsprechend der Visualisierung oben rechts (rot = falsch klassifizierte Pixel, gr\u00fcn = korrekt klassifizierte Pixel). Die Gesamtgenauigkeit dieser Validierung betr\u00e4gt <strong>81 %<\/strong>, mit einer PVC-Genauigkeit von <strong>100 %<\/strong>.Hyperspektrale Analyse als robustes Werkzeug f\u00fcr industrielle Sortierprozesse<br>Die gemeinsame Studie best\u00e4tigt, dass <strong>SWIR-basierte hyperspektrale Bildgebung<\/strong> in Kombination mit physikalischen Trennmethoden eine effektive L\u00f6sung f\u00fcr die Sortierung von PVC in gemischten Kunststoffstr\u00f6men darstellt. In industriellen Umgebungen mit hoher Materialvielfalt \u00fcbertrifft die SWIR-Analyse VNIR-Ans\u00e4tze deutlich.<br>Dieser Vorteil ergibt sich aus der Dominanz von Farbe im VNIR-Spektrum sowie aus materialtypischen Eigenschaften, die nur im SWIR-Bereich zuverl\u00e4ssig detektiert werden k\u00f6nnen. Hyperspektrale Technologien zeigen daher gro\u00dfes Potenzial, wenn sie in datengetriebene Materialr\u00fcckgewinnungsprozesse integriert werden. Die Kombination beider Kameratypen k\u00f6nnte zudem weitere Erkenntnisse f\u00fcr zuk\u00fcnftige Anwendungen liefern.<br>Typische Anwendungsszenarien<br>Automatisierte Sortierung von PVC in Post-Consumer- und Industrieabf\u00e4llen<br>Wareneingangskontrolle zur Erkennung von Verunreinigungen<br>Qualit\u00e4ts\u00fcberwachung w\u00e4hrend des Herstellungsprozesses<br><strong>Rovi-Tech (Belgien)<\/strong> entwickelt seit \u00fcber 30 Jahren Kontroll-, Inspektions-, Mess- und Sortiersysteme sowie Maschinen zur Verbesserung der industriellen Leistungsf\u00e4higkeit. Durch die Integration industrieller Bildverarbeitungstechnologien und fortschrittlicher Messinstrumente entwickelt Rovi-Tech automatisierte Anlagen \u2013 von Machbarkeitsstudien \u00fcber die Prototypenentwicklung bis hin zur Umsetzung industrieller Installationen. Zu den eingesetzten Technologien geh\u00f6ren unter anderem Kameras, Lasertriangulationssysteme, Infrarot-Thermografiekameras und hyperspektrale Kameras.<br><a>rovitech@rovitech.com<\/a><\/figcaption><\/figure>\n<\/div><\/div>\n\n<\/div><\/div><\/div><\/div>\n\n\n<style>.kb-row-layout-id5079_f6ee9c-c6 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id5079_f6ee9c-c6 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id5079_f6ee9c-c6 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);max-width:var( --global-content-width, 1490px );padding-left:var(--global-content-edge-padding);padding-right:var(--global-content-edge-padding);padding-top:var(--global-kb-spacing-4xl, 8rem);padding-bottom:var(--global-kb-spacing-4xl, 8rem);grid-template-columns:minmax(0, 1fr);}.kb-row-layout-id5079_f6ee9c-c6 > .kt-row-layout-overlay{opacity:0.90;background-color:var(--global-palette9, #ffffff);}@media all and (max-width: 1024px){.kb-row-layout-id5079_f6ee9c-c6 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}@media all and (max-width: 767px){.kb-row-layout-id5079_f6ee9c-c6 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id5079_f6ee9c-c6 alignnone kt-row-has-bg wp-block-kadence-rowlayout\"><div class=\"kt-row-layout-overlay kt-row-overlay-normal\"><\/div><div class=\"kt-row-column-wrap kt-has-1-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top kb-theme-content-width\">\n<style>.kadence-column5079_88021f-8a > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column5079_88021f-8a > .kt-inside-inner-col{flex-direction:column;}.kadence-column5079_88021f-8a > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column5079_88021f-8a > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column5079_88021f-8a{position:relative;}@media all and (max-width: 1024px){.kadence-column5079_88021f-8a > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column5079_88021f-8a > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column5079_88021f-8a\"><div class=\"kt-inside-inner-col\"><style>.kb-row-layout-id5079_1517e8-62 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id5079_1517e8-62 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id5079_1517e8-62 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);max-width:var( --global-content-width, 1490px );padding-left:var(--global-content-edge-padding);padding-right:var(--global-content-edge-padding);padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;grid-template-columns:minmax(0, calc(35% - ((var(--global-kb-gap-md, 2rem) * 1 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> .kadence-column5079_667b2a-e9{align-self:center;}.kt-inner-column-height-full:not(.kt-has-1-columns) > .wp-block-kadence-column.kadence-column5079_667b2a-e9{align-self:auto;}.kt-inner-column-height-full:not(.kt-has-1-columns) > .wp-block-kadence-column.kadence-column5079_667b2a-e9 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}.kadence-column5079_667b2a-e9 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column5079_667b2a-e9{position:relative;}@media all and (max-width: 1024px){.kt-row-column-wrap > .kadence-column5079_667b2a-e9{align-self:center;}}@media all and (max-width: 1024px){.kt-inner-column-height-full:not(.kt-has-1-columns) > .wp-block-kadence-column.kadence-column5079_667b2a-e9{align-self:auto;}}@media all and (max-width: 1024px){.kt-inner-column-height-full:not(.kt-has-1-columns) > .wp-block-kadence-column.kadence-column5079_667b2a-e9 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 1024px){.kadence-column5079_667b2a-e9 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kt-row-column-wrap > .kadence-column5079_667b2a-e9{align-self:center;}.kt-inner-column-height-full:not(.kt-has-1-columns) > .wp-block-kadence-column.kadence-column5079_667b2a-e9{align-self:auto;}.kt-inner-column-height-full:not(.kt-has-1-columns) > .wp-block-kadence-column.kadence-column5079_667b2a-e9 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}.kadence-column5079_667b2a-e9 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column5079_667b2a-e9\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading5079_4cf3aa-54, .wp-block-kadence-advancedheading.kt-adv-heading5079_4cf3aa-54[data-kb-block=\"kb-adv-heading5079_4cf3aa-54\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading5079_4cf3aa-54 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading5079_4cf3aa-54[data-kb-block=\"kb-adv-heading5079_4cf3aa-54\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading5079_4cf3aa-54 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading5079_4cf3aa-54[data-kb-block=\"kb-adv-heading5079_4cf3aa-54\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 1024px){.wp-block-kadence-advancedheading.kt-adv-heading5079_4cf3aa-54, .wp-block-kadence-advancedheading.kt-adv-heading5079_4cf3aa-54[data-kb-block=\"kb-adv-heading5079_4cf3aa-54\"]{font-size:30px;}}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading5079_4cf3aa-54, .wp-block-kadence-advancedheading.kt-adv-heading5079_4cf3aa-54[data-kb-block=\"kb-adv-heading5079_4cf3aa-54\"]{font-size:24px;}}<\/style>\n<p class=\"kt-adv-heading5079_4cf3aa-54 wp-block-kadence-advancedheading has-theme-palette-7-color has-text-color\" data-kb-block=\"kb-adv-heading5079_4cf3aa-54\"><strong>\u00dcber den Autor<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Dr. Matthias Locherer ist seit 2017 Director Global Market Development bei Cubert GmbH. Mit einem PhD in Erdbeobachtung von der Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen bringt er umfangreiche Expertise in der Fernerkundung, spektraler Bildgebung und Datenanalyse mit. Matthias hat an verschiedenen Forschungsprojekten und Publikationen mitgewirkt, insbesondere im Bereich der hyperspektralen \u00dcberwachung biophysikalischer und biochemischer Parameter mit hyperspektralen Satellitenmissionen. Seine fundierten Kenntnisse in optischer Messtechnik und physikalischer Modellierung machen ihn zu einem wichtigen Treiber f\u00fcr die Weiterentwicklung innovativer hyperspektraler Technologien bei Cubert.<\/p>\n\n\n<style>.wp-block-kadence-advancedbtn.kb-btns5079_75c033-21{gap:var(--global-kb-gap-xs, 0.5rem );justify-content:flex-start;align-items:center;}.kt-btns5079_75c033-21 .kt-button{font-weight:normal;font-style:normal;}.kt-btns5079_75c033-21 .kt-btn-wrap-0{margin-right:5px;}.wp-block-kadence-advancedbtn.kt-btns5079_75c033-21 .kt-btn-wrap-0 .kt-button{color:#555555;border-color:#555555;}.wp-block-kadence-advancedbtn.kt-btns5079_75c033-21 .kt-btn-wrap-0 .kt-button:hover, .wp-block-kadence-advancedbtn.kt-btns5079_75c033-21 .kt-btn-wrap-0 .kt-button:focus{color:#ffffff;border-color:#444444;}.wp-block-kadence-advancedbtn.kt-btns5079_75c033-21 .kt-btn-wrap-0 .kt-button::before{display:none;}.wp-block-kadence-advancedbtn.kt-btns5079_75c033-21 .kt-btn-wrap-0 .kt-button:hover, .wp-block-kadence-advancedbtn.kt-btns5079_75c033-21 .kt-btn-wrap-0 .kt-button:focus{background:#444444;}<\/style>\n<div class=\"wp-block-kadence-advancedbtn kb-buttons-wrap kb-btns5079_75c033-21\"><style>ul.menu .wp-block-kadence-advancedbtn .kb-btn5079_720cc0-18.kb-button{width:initial;}.wp-block-kadence-advancedbtn .kb-btn5079_720cc0-18.kb-button{color:var(--global-palette10, #3182CE);background:var(--global-palette1, #3182CE);padding:var(--kb-btn-padding);margin:var(--kb-btn-margin);padding-top:5px;padding-right:5px;padding-bottom:5px;padding-left:5px;box-shadow:none;}.kb-btn5079_720cc0-18.kb-button .kb-svg-icon-wrap{font-size:30px;--kb-button-icon-size:30px;}.wp-block-kadence-advancedbtn .kb-btn5079_720cc0-18.kb-button:hover, .wp-block-kadence-advancedbtn .kb-btn5079_720cc0-18.kb-button:focus{color:var(--global-palette10, #3182CE);background:var(--global-palette13, #3182CE);box-shadow:var(--kb-btn-shadow-hover, none);}.kb-btn5079_720cc0-18.kb-button .kt-btn-inner-text{display:none;}<\/style><a class=\"kb-button kt-button button kb-btn5079_720cc0-18 kt-btn-size-standard kt-btn-width-type-auto kb-btn-global-fill kt-btn-has-text-false kt-btn-has-svg-true wp-block-kadence-singlebtn\" href=\"https:\/\/www.linkedin.com\/in\/matthias-locherer-b6a103136\/\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"kb-svg-icon-wrap kb-svg-icon-fa_linkedin-in kt-btn-icon-side-right\"><svg viewBox=\"0 0 448 512\"  fill=\"currentColor\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"  aria-hidden=\"true\"><path d=\"M100.3 480H7.4V180.9h92.9V480zM53.8 140.1C24.1 140.1 0 115.5 0 85.8 0 56.1 24.1 32 53.8 32c29.7 0 53.8 24.1 53.8 53.8 0 29.7-24.1 54.3-53.8 54.3zM448 480h-92.7V334.4c0-34.7-.7-79.2-48.3-79.2-48.3 0-55.7 37.7-55.7 76.7V480h-92.8V180.9h89.1v40.8h1.3c12.4-23.5 42.7-48.3 87.9-48.3 94 0 111.3 61.9 111.3 142.3V480z\"\/><\/svg><\/span><\/a><\/div>\n<\/div><\/div>\n\n<\/div><\/div><\/div><\/div>\n\n<\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Hyperspektrale Intelligenz f\u00fcr die Industrie: Materialspezifische Detektion in industriellen Anwendungen<\/p>\n","protected":false},"author":3,"featured_media":14274,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"bBlocksCursorData":"","_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","slim_seo":{"noindex":"1","title":"Materialspezifische Detektion in industriellen Anwendungen - 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