{"id":569,"date":"2025-05-12T10:15:24","date_gmt":"2025-05-12T08:15:24","guid":{"rendered":"https:\/\/websites.fraunhofer.de\/ki-fortschrittszentrum\/?post_type=projekt&#038;p=569"},"modified":"2025-09-04T11:08:38","modified_gmt":"2025-09-04T09:08:38","slug":"damage-evaluation-with-machine-learning","status":"publish","type":"projekt","link":"https:\/\/www.ki-fortschrittszentrum.de\/en\/projekt\/schadensauswertung-mit-machine-learning\/","title":{"rendered":"Damage evaluation with machine learning"},"content":{"rendered":"<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-86663cd stk-block-background stk--has-background-overlay\" data-block-id=\"86663cd\"><style>.stk-86663cd {background-image:url(https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_282_QC_Schadensauswertung-mit-ML_Teaser.bmp) !important;min-height:520px !important;align-items:flex-end !important;padding-bottom:0px !important;margin-bottom:0px !important;display:flex !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-86663cd-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-5a28863\" data-v=\"4\" data-block-id=\"5a28863\"><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-5a28863-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-5a28863-inner-blocks\">\n<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-3e4895d\" data-block-id=\"3e4895d\"><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-3e4895d-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-a094f1e\" data-v=\"4\" data-block-id=\"a094f1e\"><style>@media screen and (min-width:690px){.stk-a094f1e {flex:var(--stk-flex-grow, 1) 1 calc(30% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-a094f1e-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-a094f1e-inner-blocks\"><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-ba57710\" data-v=\"4\" data-block-id=\"ba57710\"><style>@media screen and (min-width:690px){.stk-ba57710 {flex:var(--stk-flex-grow, 1) 1 calc(30% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-ba57710-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-ba57710-inner-blocks\"><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-4764f29 stk-block-background\" data-v=\"4\" data-block-id=\"4764f29\"><style>.stk-4764f29 {align-self:flex-end !important;background-color:var(--theme-palette-color-8, #ffffff) !important;padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;}.stk-4764f29-inner-blocks{justify-content:flex-end !important;}.stk-4764f29:before{background-color:var(--theme-palette-color-8, #ffffff) !important;}@media screen and (min-width:690px){.stk-4764f29 {flex:var(--stk-flex-grow, 1) 1 calc(40% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-4764f29-container stk--no-background stk--no-padding\"><div class=\"stk--column-flex stk-block-content stk-inner-blocks stk-4764f29-inner-blocks\">\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-933ef16\" id=\"gspb_container-id-gsbp-933ef16\">\n<div class=\"wp-block-stackable-image stk-block-image has-text-align-left stk-block stk-1690316\" data-block-id=\"1690316\"><style>.stk-1690316 {margin-bottom:36px !important;}.stk-1690316 .stk-img-wrapper{width:50% !important;}<\/style><figure><span class=\"stk-img-wrapper stk-image--shape-stretch\"><img loading=\"lazy\" decoding=\"async\" class=\"stk-img\" src=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_282_QC_Schadensauswertung-mit-ML_Logo-698x282.jpg\" width=\"50\" height=\"300\"\/><\/span><\/figure><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-97d4068\" data-block-id=\"97d4068\"><style>.stk-97d4068 {margin-bottom:12px !important;}.stk-97d4068 .stk-block-text__text{font-size:16px !important;line-height:1.4em !important;font-weight:500 !important;font-style:italic !important;font-family:Constantia, Lucida Bright, Lucidabright, \"Lucida Serif\", Lucida, \"DejaVu Serif\", \"Bitstream Vera Serif\", \"Liberation Serif\", Georgia, serif !important;}@media screen and (max-width:999px){.stk-97d4068 .stk-block-text__text{font-size:16px !important;}}<\/style><p class=\"stk-block-text__text\">\"The cooperation gives us the opportunity to develop modern and complex IT tools according to our ideas, which makes our know-how applicable in digital systems. Thanks to the friendly and trusting cooperation, we were able to gain important insights and will make the best possible use of the possibilities of machine learning for us.\"<\/p><\/div>\n\n\n\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-eafe0ac\" id=\"gspb_container-id-gsbp-eafe0ac\">\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-25dc0f8\" data-block-id=\"25dc0f8\"><style>.stk-25dc0f8 {padding-top:0px !important;padding-bottom:0px !important;margin-top:0px !important;margin-bottom:0px !important;}.stk-25dc0f8 .stk-block-text__text{font-size:15px !important;}@media screen and (max-width:999px){.stk-25dc0f8 .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-align-left\">Tillmann Schulte<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-d634667\" data-block-id=\"d634667\"><style>.stk-d634667 {align-items:flex-start !important;padding-top:0px !important;padding-bottom:0px !important;margin-top:0px !important;margin-bottom:0px !important;display:flex !important;}.stk-d634667 .stk-block-text__text{font-size:15px !important;font-weight:200 !important;}@media screen and (max-width:999px){.stk-d634667 .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-align-left\">Institute for Surface Technology GmbH<\/p><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-1fa6a74\" id=\"gspb_container-id-gsbp-1fa6a74\">\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-be1fdb3\" data-block-id=\"be1fdb3\"><style>.stk-be1fdb3 {padding-top:0px !important;padding-bottom:12px !important;margin-top:0px !important;margin-bottom:0px !important;}.stk-be1fdb3 .stk-block-text__text{font-size:15px !important;color:#ffffff80 !important;}@media screen and (max-width:999px){.stk-be1fdb3 .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-color has-text-align-left\">Contact at the AI Innovation Center<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-24ffa5e\" data-block-id=\"24ffa5e\"><style>.stk-24ffa5e {padding-top:0px !important;padding-bottom:0px !important;margin-top:0px !important;margin-bottom:0px !important;}.stk-24ffa5e .stk-block-text__text{font-size:15px !important;color:#ffffff !important;}@media screen and (max-width:999px){.stk-24ffa5e .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-color has-text-align-left\">Andreas Frommknecht<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-button-group stk-block-button-group stk-block stk-af007b4\" data-block-id=\"af007b4\"><style>.stk-af007b4 {padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;margin-top:0px !important;margin-right:0px !important;margin-bottom:0px !important;margin-left:0px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-button stk-block-button is-style-plain stk-block stk-1cf8bea\" data-block-id=\"1cf8bea\"><style>.stk-1cf8bea .stk-button{padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;background:transparent !important;}.stk-1cf8bea .stk-button:hover:after{background:transparent !important;opacity:1 !important;}:where(.stk-hover-parent:hover,  .stk-hover-parent.stk--is-hovered) .stk-1cf8bea .stk-button:after{background:transparent !important;opacity:1 !important;}.stk-1cf8bea .stk-button__inner-text{font-size:15px !important;color:var(--theme-palette-color-8, #ffffff) !important;font-weight:200 !important;}@media screen and (max-width:999px){.stk-1cf8bea .stk-button__inner-text{font-size:15px !important;}}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"mailto:andreas.frommknecht@ipa.fraunhofer.de\" title=\"andreas.frommknecht@ipa.fraunhofer.de\"><span class=\"has-text-color stk-button__inner-text\">andreas.frommknecht@ipa.fraunhofer.de<\/span><\/a><\/div>\n<\/div><\/div>\n<\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-spacer stk-block-spacer stk--no-padding stk-block stk-56a43b6\" data-block-id=\"56a43b6\"><\/div>\n\n\n\n<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-fc04401\" data-block-id=\"fc04401\"><style>.stk-fc04401 {padding-right:24px !important;padding-left:24px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-fc04401-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-a194320\" data-v=\"4\" data-block-id=\"a194320\"><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-a194320-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-a194320-inner-blocks\"><div data-block=\"hook:1248\" class=\"alignfull\"><article id=\"post-1248\" class=\"post-1248\"><div class=\"entry-content is-layout-constrained\">\n<div class=\"wp-block-stackable-button-group stk-block-button-group stk-block stk-fcd1a8a\" data-block-id=\"fcd1a8a\"><style>.stk-fcd1a8a {margin-bottom:24px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-icon-button stk-block-icon-button stk-block stk-82470ba is-style-ghost\" data-block-id=\"82470ba\"><style>.stk-82470ba .stk-button{background:transparent !important;}.stk-82470ba .stk-button:hover{background:transparent !important;opacity:1 !important;}:where(.stk-hover-parent:hover,  .stk-hover-parent.stk--is-hovered) .stk-82470ba .stk-button:after{background:transparent !important;opacity:1 !important;}.stk-82470ba .stk-button:before{border-style:solid !important;border-color:var(--theme-palette-color-9, #264e5d) !important;}.stk-82470ba .stk-button .stk--inner-svg svg:last-child, .stk-82470ba .stk-button .stk--inner-svg svg:last-child :is(g, path, rect, polygon, ellipse){fill:var(--theme-palette-color-11, #006e92) !important;}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"javascript:window.history.back();\" title=\"Back\"><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 512 512\" aria-hidden=\"true\" width=\"32\" height=\"32\"><path d=\"M9.4 233.4c-12.5 12.5-12.5 32.8 0 45.3l128 128c12.5 12.5 32.8 12.5 45.3 0s12.5-32.8 0-45.3L109.3 288 480 288c17.7 0 32-14.3 32-32s-14.3-32-32-32l-370.7 0 73.4-73.4c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0l-128 128z\"><\/path><\/svg><\/div><\/span><\/a><\/div>\n<\/div><\/div>\n<\/div><\/article><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-5cbd537\" id=\"quick-check\" data-block-id=\"5cbd537\"><style>.stk-5cbd537 {margin-bottom:0px !important;}<\/style><h1 class=\"stk-block-heading__text\">Damage evaluation with machine learning<\/h1><\/div>\n\n\n\n<div class=\"wp-block-stackable-icon-label stk-block-icon-label stk-block stk-9c593c0\" id=\"quick-check\" data-block-id=\"9c593c0\"><style>.stk-9c593c0 .stk-inner-blocks{gap:8px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content\">\n<div class=\"wp-block-stackable-icon stk-block-icon has-text-align-left stk-block stk-624347f\" data-block-id=\"624347f\"><style>.stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child{height:16px !important;width:16px !important;}.stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child, .stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child :is(g, path, rect, polygon, ellipse){fill:var(--theme-palette-color-10, #25bae2) !important;}<\/style><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg style=\"height:0;width:0\"><defs><lineargradient id=\"linear-gradient-624347f\" x1=\"0\" x2=\"100%\" y1=\"0\" y2=\"0\"><stop offset=\"0%\" style=\"stop-opacity:1;stop-color:var(--linear-gradient-624347-f-color-1)\"><\/stop><stop offset=\"100%\" style=\"stop-opacity:1;stop-color:var(--linear-gradient-624347-f-color-2)\"><\/stop><\/lineargradient><\/defs><\/svg><svg data-prefix=\"fa\" data-icon=\"star\" class=\"svg-inline--fa fa-star fa-w-18\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 576 512\" aria-hidden=\"true\" width=\"32\" height=\"32\"><path fill=\"currentColor\" d=\"M259.3 17.8L194 150.2 47.9 171.5c-26.2 3.8-36.7 36.1-17.7 54.6l105.7 103-25 145.5c-4.5 26.3 23.2 46 46.4 33.7L288 439.6l130.7 68.7c23.2 12.2 50.9-7.4 46.4-33.7l-25-145.5 105.7-103c19-18.5 8.5-50.8-17.7-54.6L382 150.2 316.7 17.8c-11.7-23.6-45.6-23.9-57.4 0z\"><\/path><\/svg><\/div><\/span><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-cdc2d3f\" id=\"span-data-stk-dynamic-current-page-post-taxonomy-term-projektformat-contenteditable-false-class-stk-dynamic-content-post-taxonomy-placeholder-span\" data-block-id=\"cdc2d3f\"><p class=\"stk-block-heading__text\">Quick Check<\/p><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-c21bed1\" id=\"ausgangssituation\" data-block-id=\"c21bed1\"><h2 class=\"stk-block-heading__text\">Initial situation<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-65e3563\" data-block-id=\"65e3563\"><style>.stk-65e3563 {column-count:1 !important;}<\/style><p class=\"stk-block-text__text\">The underbody area of cars is exposed to heavy mechanical and corrosive loads. Stones and gravel on the road can penetrate the corrosion protection, leading to premature corrosion and possible failure of important parts. To protect against this risk, stone chip protection coatings are used, which must be tested for their suitability. For this purpose, sharp-edged steel shot is fired at the samples in the laboratory using compressed air. The resulting damage pattern can now be assessed either visually using comparison images, by manual counting or using expensive special equipment. This makes the evaluation either very cost-intensive, time-consuming or inaccurate. If normal photos can serve as the basis for an evaluation that is supported by image recognition and machine learning, a much more differentiated assessment of quantity and quality can be made than has been possible to date. Due to the complexity of the resulting damage patterns, the use of AI methods for photo evaluation is necessary. In addition, the evaluation is faster and, in principle, also possible from a distance.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-8c26049\" id=\"losungsidee\" data-block-id=\"8c26049\"><h2 class=\"stk-block-heading__text\">Solution idea<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-ab6a506\" data-block-id=\"ab6a506\"><style>.stk-ab6a506 {column-count:1 !important;}<\/style><p class=\"stk-block-text__text\">This quick check uses an object detector to detect almost all types of damage patterns. The object detector makes it possible to count the number of defects on the surface and determine the location of the defects. This information can also be used to calculate the size of the damage by calibrating the images. The damage patterns are generated by laboratory tests in which sharp-edged steel shot is subjected to compressed air of varying intensity. In order to train the object detector, prior annotation in the form of bounding boxes of the surface defects is required.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-image stk-block-image stk-block stk-029f8d7\" data-block-id=\"029f8d7\"><style>.stk-029f8d7 .stk-img-figcaption{font-size:12px !important;}.stk-029f8d7 .stk-img-wrapper{width:43% !important;height:955px !important;}@media screen and (max-width:999px){.stk-029f8d7 .stk-img-figcaption{font-size:12px !important;}}<\/style><figure><span class=\"stk-img-wrapper stk-image--shape-stretch\"><img loading=\"lazy\" decoding=\"async\" class=\"stk-img wp-image-2866\" src=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_282_QC_Schadensauswertung-mit-ML_Abb1-scaled.jpg\" width=\"1433\" height=\"2560\" alt=\"Figure 1: Sample defects of the laboratory test, IFO GmbH\" srcset=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_282_QC_Schadensauswertung-mit-ML_Abb1-scaled.jpg 1433w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_282_QC_Schadensauswertung-mit-ML_Abb1-400x715.jpg 400w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_282_QC_Schadensauswertung-mit-ML_Abb1-698x1247.jpg 698w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_282_QC_Schadensauswertung-mit-ML_Abb1-768x1372.jpg 768w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_282_QC_Schadensauswertung-mit-ML_Abb1-860x1536.jpg 860w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_282_QC_Schadensauswertung-mit-ML_Abb1-1146x2048.jpg 1146w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_282_QC_Schadensauswertung-mit-ML_Abb1-7x12.jpg 7w\" sizes=\"auto, (max-width: 1433px) 100vw, 1433px\" \/><\/span><figcaption class=\"stk-img-figcaption\">Figure 1: Sample defects of the laboratory test, IFO GmbH<\/figcaption><\/figure><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-76475ee\" id=\"nutzen\" data-block-id=\"76475ee\"><h2 class=\"stk-block-heading__text\">Benefit<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-icon-list stk-block-icon-list stk-block stk-9692446\" data-block-id=\"9692446\"><style>.stk-9692446 {--stk-icon-list-marker-color:var(--theme-palette-color-3, #3A4F66) !important;--stk-icon-list-icon-size:8px !important;}.stk-9692446 .stk-block-icon-list-item__content{align-items:flex-start !important;}.stk-9692446 ul .stk-block-icon-list-item__content .stk--inner-svg, .stk-9692446 ol .stk-block-icon-list-item__content .stk-block-icon-list-item__marker{transform:translateY(10px) !important;}<\/style><svg style=\"display:none\"><defs><g id=\"stk-icon-list__icon-svg-def-9692446\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 448 512\"><path d=\"M0 96C0 60.7 28.7 32 64 32H384c35.3 0 64 28.7 64 64V416c0 35.3-28.7 64-64 64H64c-35.3 0-64-28.7-64-64V96z\"\/><\/svg><\/g><\/defs><\/svg><ul class=\"stk-block-icon-list__ul stk-block-icon-list--column\">\n<li class=\"wp-block-stackable-icon-list-item stk-block-icon-list-item stk-block stk-6e4c4c1\" data-block-id=\"6e4c4c1\"><div class=\"stk-block-icon-list-item__content\"><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg aria-hidden=\"true\" width=\"32\" height=\"32\"><use xlink:href=\"#stk-icon-list__icon-svg-def-9692446\"><\/use><\/svg><\/div><\/span><span class=\"stk-block-icon-list-item__text\">Independence of sample geometries, as in principle any topology and geometry of samples can be recognized and evaluated<\/span><\/div><\/li>\n\n\n\n<li class=\"wp-block-stackable-icon-list-item stk-block-icon-list-item stk-block stk-fa4ee42\" data-block-id=\"fa4ee42\"><div class=\"stk-block-icon-list-item__content\"><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg aria-hidden=\"true\" width=\"32\" height=\"32\"><use xlink:href=\"#stk-icon-list__icon-svg-def-9692446\"><\/use><\/svg><\/div><\/span><span class=\"stk-block-icon-list-item__text\">Improved evaluation and documentation across several stages of a laboratory test<\/span><\/div><\/li>\n\n\n\n<li class=\"wp-block-stackable-icon-list-item stk-block-icon-list-item stk-block stk-11e3fbb\" data-block-id=\"11e3fbb\"><div class=\"stk-block-icon-list-item__content\"><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg aria-hidden=\"true\" width=\"32\" height=\"32\"><use xlink:href=\"#stk-icon-list__icon-svg-def-9692446\"><\/use><\/svg><\/div><\/span><span class=\"stk-block-icon-list-item__text\">The damage can be quantified\/counted quickly and easily<\/span><\/div><\/li>\n\n\n\n<li class=\"wp-block-stackable-icon-list-item stk-block-icon-list-item stk-block stk-1609fea\" data-block-id=\"1609fea\"><div class=\"stk-block-icon-list-item__content\"><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg aria-hidden=\"true\" width=\"32\" height=\"32\"><use xlink:href=\"#stk-icon-list__icon-svg-def-9692446\"><\/use><\/svg><\/div><\/span><span class=\"stk-block-icon-list-item__text\">Distinguishing between different types of superficial damage (e.g. punctures through the entire protective layer) is simplified<\/span><\/div><\/li>\n\n\n\n<li class=\"wp-block-stackable-icon-list-item stk-block-icon-list-item stk-block stk-8c05a40\" data-block-id=\"8c05a40\"><div class=\"stk-block-icon-list-item__content\"><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg aria-hidden=\"true\" width=\"32\" height=\"32\"><use xlink:href=\"#stk-icon-list__icon-svg-def-9692446\"><\/use><\/svg><\/div><\/span><span class=\"stk-block-icon-list-item__text\">The direction and energy of the impact could be detected by advanced evaluations<\/span><\/div><\/li>\n\n\n\n<li class=\"wp-block-stackable-icon-list-item stk-block-icon-list-item stk-block stk-79386e4\" data-block-id=\"79386e4\"><div class=\"stk-block-icon-list-item__content\"><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg aria-hidden=\"true\" width=\"32\" height=\"32\"><use xlink:href=\"#stk-icon-list__icon-svg-def-9692446\"><\/use><\/svg><\/div><\/span><span class=\"stk-block-icon-list-item__text\">Different damage mechanisms in practice can be analyzed in more detail and compared between different areas of the vehicle<\/span><\/div><\/li>\n\n\n\n<li class=\"wp-block-stackable-icon-list-item stk-block-icon-list-item stk-block stk-de60ce1\" data-block-id=\"de60ce1\"><div class=\"stk-block-icon-list-item__content\"><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg aria-hidden=\"true\" width=\"32\" height=\"32\"><use xlink:href=\"#stk-icon-list__icon-svg-def-9692446\"><\/use><\/svg><\/div><\/span><span class=\"stk-block-icon-list-item__text\">Recognizing the damage mechanisms allows the development of new and more durable painting systems and strategies<\/span><\/div><\/li>\n\n\n\n<li class=\"wp-block-stackable-icon-list-item stk-block-icon-list-item stk-block stk-6cc3c4e\" data-block-id=\"6cc3c4e\"><div class=\"stk-block-icon-list-item__content\"><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg aria-hidden=\"true\" width=\"32\" height=\"32\"><use xlink:href=\"#stk-icon-list__icon-svg-def-9692446\"><\/use><\/svg><\/div><\/span><span class=\"stk-block-icon-list-item__text\">Potential for new industry standard and inclusion in technical delivery conditions of OEMs due to speed, accuracy and extended information content of the test<\/span><\/div><\/li>\n<\/ul><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-1e747a7\" id=\"umsetzung-der-ki-applikation\" data-block-id=\"1e747a7\"><h2 class=\"stk-block-heading__text\">Implementation of the AI application<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-d745445\" data-block-id=\"d745445\"><p class=\"stk-block-text__text\">One of the well-known architectures for object recognition called YOLO was selected as the basis for the ML model. The object detector divides images into a grid system. Object detection is performed for each cell of the grid. The object detector is trained using 41 manually annotated images. Additional pre-processing of the data is required to solve the problem of data scarcity. The object detector achieves a mean average accuracy of about 0.85 with an overlap of at least 50%.<\/p><\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>The final acceptance requirements for employees were reviewed with the help of UNAs. AI potentials were identified and suggested.<\/p>","protected":false},"author":4,"featured_media":2864,"template":"","format":"standard","meta":{"_acf_changed":true,"_gspb_post_css":".gspb_container-id-gsbp-1fa6a74,.gspb_container-id-gsbp-933ef16,.gspb_container-id-gsbp-eafe0ac{flex-direction:column;box-sizing:border-box}#gspb_container-id-gsbp-1fa6a74.gspb_container>p:last-of-type,#gspb_container-id-gsbp-933ef16.gspb_container>p:last-of-type,#gspb_container-id-gsbp-eafe0ac.gspb_container>p:last-of-type{margin-bottom:0}#gspb_container-id-gsbp-933ef16.gspb_container{position:relative;padding:24px}#gspb_container-id-gsbp-eafe0ac.gspb_container{position:relative;display:block;margin-left:auto}#gspb_container-id-gsbp-1fa6a74.gspb_container{position:relative;display:block;margin:0;padding:24px;background-color:var(--wp--preset--color--palette-color-11, var(--theme-palette-color-11, #006e92))}"},"bereich":[24],"institut":[],"projektformat":[14],"class_list":["post-569","projekt","type-projekt","status-publish","format-standard","has-post-thumbnail","hentry","bereich-produktion-qualitaetsmanagement","projektformat-quick-check"],"blocksy_meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projekt\/569","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projekt"}],"about":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/types\/projekt"}],"author":[{"embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/users\/4"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/media\/2864"}],"wp:attachment":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/media?parent=569"}],"wp:term":[{"taxonomy":"bereich","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/bereich?post=569"},{"taxonomy":"institut","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/institut?post=569"},{"taxonomy":"projektformat","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projektformat?post=569"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}