{"id":190092,"date":"2026-10-12T12:00:00","date_gmt":"2026-10-12T12:00:00","guid":{"rendered":"https:\/\/m-technologijos.lt\/?post_type=products&#038;p=190092"},"modified":"2026-10-12T18:10:20","modified_gmt":"2026-10-12T15:10:20","slug":"qatm-qai-ai-indentation-image-analysis","status":"publish","type":"products","link":"https:\/\/m-technologijos.lt\/en\/equipment\/hardness-testing\/hardness-testing-software\/qatm-qai-ai-indentation-image-analysis\/","title":{"rendered":"QATM QAI \u2013 AI-based indentation image analysis"},"content":{"rendered":"<h2>Applications<\/h2>\n<p>For laboratories working with surfaces that are difficult to evaluate (etched microsections, rough castings, low-contrast coatings), where the classic algorithm requires manual correction.<\/p>\n<h2>Key features<\/h2>\n<ul>\n<li>Higher image evaluation quality and recognition success rate<\/li>\n<li>Fewer manual checks \u2013 more automation<\/li>\n<li>The same indentation image always gives the same result (repeatability)<\/li>\n<li>Runs entirely locally on the PC, with no data exchange with QATM<\/li>\n<li>Model retraining only possible through QATM \u2013 stable, controlled behaviour<\/li>\n<\/ul>\n<h2>Models<\/h2>\n<p>QAI add-on for Qpix Control2<\/p>\n<h2>Technical data<\/h2>\n<ul>\n<li>Methods: Vickers, Knoop, Brinell<\/li>\n<li>Integration: Qpix Control2 (replaces the existing image recognition algorithm)<\/li>\n<li>Operation: locally, without internet connection<\/li>\n<li>Retraining: QATM only<\/li>\n<\/ul>\n<h2>What we offer<\/h2>\n<ul>\n<li>Selection of the instrument and configuration for your task, together with the manufacturer<\/li>\n<li>Trial measurements of your samples in the manufacturer&#8217;s laboratory<\/li>\n<li>Training, calibration and service organised through the manufacturer<\/li>\n<\/ul>\n<p><a class=\"fl-button mt-cta\" href=\"\/en\/contacts\/\">Request a quote<\/a><\/p>\n<p class=\"mt-source\"><small>Technical data according to the manufacturer: <a href=\"https:\/\/www.qatm.com\/products\/hardness-testing\/software\/qai\/\" rel=\"nofollow noopener\" target=\"_blank\">qatm.com<\/a>, <a href=\"https:\/\/www.qatm.com\/products\/hardness-testing\/software\/\" rel=\"nofollow noopener\" target=\"_blank\">qatm.com<\/a><\/small><\/p>\n","protected":false},"excerpt":{"rendered":"<p>For laboratories working with surfaces that are difficult to evaluate (etched microsections, rough castings, low-contrast coatings), where the classic algorithm requires manual correction.<\/p>\n","protected":false},"featured_media":90093,"template":"","meta":{"mt_image_url":"https:\/\/www.qatm.com\/files\/public\/qatm\/products\/qpix-software\/QAI\/pic_qatm-revolutionary-image-analysis-with-ai-technology.jpg","footnotes":""},"categories":[215],"class_list":["post-190092","products","type-products","status-publish","has-post-thumbnail","hentry","category-hardness-testing-software"],"_links":{"self":[{"href":"https:\/\/m-technologijos.lt\/en\/wp-json\/wp\/v2\/products\/190092","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/m-technologijos.lt\/en\/wp-json\/wp\/v2\/products"}],"about":[{"href":"https:\/\/m-technologijos.lt\/en\/wp-json\/wp\/v2\/types\/products"}],"version-history":[{"count":1,"href":"https:\/\/m-technologijos.lt\/en\/wp-json\/wp\/v2\/products\/190092\/revisions"}],"predecessor-version":[{"id":198217,"href":"https:\/\/m-technologijos.lt\/en\/wp-json\/wp\/v2\/products\/190092\/revisions\/198217"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/m-technologijos.lt\/en\/wp-json\/wp\/v2\/media\/90093"}],"wp:attachment":[{"href":"https:\/\/m-technologijos.lt\/en\/wp-json\/wp\/v2\/media?parent=190092"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/m-technologijos.lt\/en\/wp-json\/wp\/v2\/categories?post=190092"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}