{"id":3631,"date":"2024-07-09T11:09:07","date_gmt":"2024-07-09T09:09:07","guid":{"rendered":"https:\/\/www.mylab-analyzer.de\/industry\/"},"modified":"2025-04-28T14:31:10","modified_gmt":"2025-04-28T12:31:10","slug":"industry","status":"publish","type":"page","link":"https:\/\/www.mylab-analyzer.de\/en\/industry\/","title":{"rendered":"Industry"},"content":{"rendered":"\n<p><\/p>\n\n<p><\/p>\n<section id=\"topics-block_54c0ae5f515b18e1e1ee18e36f106f8a\" class=\"fzmb-topics left\">\n  <header>\n    <h2>Odor assessment of plastic recyclates<\/h2>\n  <\/header>\n  <div class=\"wrapper\">\n    <div class=\"topic_titles\">\n      <div id=\"\" class=\"topic_title\" data-index=\"0\">Quality control of production flows: An important field of application for hyperspectral imaging is quality control, e.g. in food production. The fast and continuous data acquisition and the evaluation in real time create an excellent basis for inline controls of production flows.<\/div>    <\/div>\n    <div class=\"image\">\n      <img loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"1003\" src=\"https:\/\/www.mylab-analyzer.de\/wp-content\/uploads\/sites\/8\/2024\/11\/GCIMSSpek.jpg\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/www.mylab-analyzer.de\/wp-content\/uploads\/sites\/8\/2024\/11\/GCIMSSpek.jpg 1920w, https:\/\/www.mylab-analyzer.de\/wp-content\/uploads\/sites\/8\/2024\/11\/GCIMSSpek-300x157.jpg 300w, https:\/\/www.mylab-analyzer.de\/wp-content\/uploads\/sites\/8\/2024\/11\/GCIMSSpek-1024x535.jpg 1024w, https:\/\/www.mylab-analyzer.de\/wp-content\/uploads\/sites\/8\/2024\/11\/GCIMSSpek-768x401.jpg 768w, https:\/\/www.mylab-analyzer.de\/wp-content\/uploads\/sites\/8\/2024\/11\/GCIMSSpek-1536x802.jpg 1536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/>    <\/div>\n  <\/div>\n  <div class=\"topic_contents\">\n    <div class=\"topic_content\" data-index=\"0\"><p><strong>Hyperspectral Imaging (HSI)<\/strong><\/p>\n<p>Every surface and every material has its own spectral signature. This characteristic signature can be recorded with a hyperspectral camera. Algorithms evaluate the signatures and assign them to qualitative and quantitative properties of the measurement objects.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Functionality HSI<\/strong><\/p>\n<p>Like a scanner, many hyperspectral cameras capture their images line by line. For this purpose, the sample to be examined is moved under the camera. A characteristic spectrum of the measured object within a defined wavelength range is detected in each image point.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Data evaluation in real time<\/strong><\/p>\n<p>Modern evaluation methods allow very detailed information about the measured object to be generated in real time from the highly complex measurement data. For example, the quantitative chemical composition of food can be determined. The method also enables the detection of foreign objects as well as the detection of quality deviations or contamination of individual objects in the production flow. Continuous data acquisition and evaluation enables complete coverage of the entire product flow. The often time-consuming and unrepresentative taking of random samples is no longer necessary.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>HSI integration into your operation<\/strong><\/p>\n<p>With our HSI modules, objects from a few micrometers up to 60 cm can be analyzed in the wavelength range of 400 &#8211; 2500 nm. Our laboratory first performs preliminary examinations of your measurement objects and material samples. Based on the results, we configure a customized in-process system for you, integrating special AI-based evaluation methods.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>PDF Hyperspectral Imaging<\/strong><\/p>\n<p><a href=\"https:\/\/www.fzmb.de\/wp-content\/uploads\/2024\/05\/PDF_Onepager_Hyperspektral-Imaging_2024.pdf\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-2630 size-medium\" src=\"https:\/\/www.fzmb.de\/wp-content\/uploads\/2023\/07\/Bildschirmfoto-2023-07-04-um-18.41.28-300x232.png\" alt=\"\" width=\"300\" height=\"232\"><\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Contact<\/strong><\/p>\n<p>Florian Meuche<\/p>\n<p>Department Manager Equipment Development<\/p>\n<p>phone +49 3603 &#8211; 833 194<\/p>\n<p>email <a class=\"mail-link\" data-enc-email=\"szrhpur[at]smzo.qr\" data-wpel-link=\"ignore\"><span id=\"eeb-692248-853686\">fmeuche@fzmb.de<\/span><\/a><\/p>\n<\/div>  <\/div>\n<\/section><section id=\"topics-block_baa27ea9fd19ed470aba57ed90b539a4\" class=\"fzmb-topics left\">\n  <header>\n    <h2>Classification of building materials in the recycling process<\/h2>\n  <\/header>\n  <div class=\"wrapper\">\n    <div class=\"topic_titles\">\n      <div id=\"\" class=\"topic_title\" data-index=\"0\">Quality control of production flows: An important field of application for hyperspectral imaging is quality control, e.g. in food production. The fast and continuous data acquisition and the evaluation in real time create an excellent basis for inline controls of production flows.<\/div>    <\/div>\n    <div class=\"image\">\n      <img loading=\"lazy\" decoding=\"async\" width=\"1049\" height=\"800\" src=\"https:\/\/www.mylab-analyzer.de\/wp-content\/uploads\/sites\/8\/2024\/07\/Bauschutt_von_LinkedIn.jpg\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/www.mylab-analyzer.de\/wp-content\/uploads\/sites\/8\/2024\/07\/Bauschutt_von_LinkedIn.jpg 1049w, https:\/\/www.mylab-analyzer.de\/wp-content\/uploads\/sites\/8\/2024\/07\/Bauschutt_von_LinkedIn-300x229.jpg 300w, https:\/\/www.mylab-analyzer.de\/wp-content\/uploads\/sites\/8\/2024\/07\/Bauschutt_von_LinkedIn-1024x781.jpg 1024w, https:\/\/www.mylab-analyzer.de\/wp-content\/uploads\/sites\/8\/2024\/07\/Bauschutt_von_LinkedIn-768x586.jpg 768w\" sizes=\"auto, (max-width: 1049px) 100vw, 1049px\" \/>    <\/div>\n  <\/div>\n  <div class=\"topic_contents\">\n    <div class=\"topic_content\" data-index=\"0\"><p><strong>Hyperspectral Imaging (HSI)<\/strong><\/p>\n<p>Every surface and every material has its own spectral signature. This characteristic signature can be recorded with a hyperspectral camera. Algorithms evaluate the signatures and assign them to qualitative and quantitative properties of the measurement objects.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Functionality HSI<\/strong><\/p>\n<p>Like a scanner, many hyperspectral cameras capture their images line by line. For this purpose, the sample to be examined is moved under the camera. A characteristic spectrum of the measured object within a defined wavelength range is detected in each image point.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Data evaluation in real time<\/strong><\/p>\n<p>Modern evaluation methods allow very detailed information about the measured object to be generated in real time from the highly complex measurement data. For example, the quantitative chemical composition of food can be determined. The method also enables the detection of foreign objects as well as the detection of quality deviations or contamination of individual objects in the production flow. Continuous data acquisition and evaluation enables complete coverage of the entire product flow. The often time-consuming and unrepresentative taking of random samples is no longer necessary.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>HSI integration into your operation<\/strong><\/p>\n<p>With our HSI modules, objects from a few micrometers up to 60 cm can be analyzed in the wavelength range of 400 &#8211; 2500 nm. Our laboratory first performs preliminary examinations of your measurement objects and material samples. Based on the results, we configure a customized in-process system for you, integrating special AI-based evaluation methods.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>PDF Hyperspectral Imaging<\/strong><\/p>\n<p><a href=\"https:\/\/www.fzmb.de\/wp-content\/uploads\/2024\/05\/PDF_Onepager_Hyperspektral-Imaging_2024.pdf\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-2630 size-medium\" src=\"https:\/\/www.fzmb.de\/wp-content\/uploads\/2023\/07\/Bildschirmfoto-2023-07-04-um-18.41.28-300x232.png\" alt=\"\" width=\"300\" height=\"232\"><\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Contact<\/strong><\/p>\n<p>Florian Meuche<\/p>\n<p>Department Manager Equipment Development<\/p>\n<p>phone +49 3603 &#8211; 833 194<\/p>\n<p>email <a class=\"mail-link\" data-enc-email=\"szrhpur[at]smzo.qr\" data-wpel-link=\"ignore\"><span id=\"eeb-692248-853686\">fmeuche@fzmb.de<\/span><\/a><\/p>\n<\/div>  <\/div>\n<\/section>","protected":false},"excerpt":{"rendered":"","protected":false},"author":9,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","footnotes":""},"class_list":["post-3631","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.1 (Yoast SEO v27.0) - 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