{"id":136,"date":"2026-08-01T15:23:15","date_gmt":"2026-08-01T15:23:15","guid":{"rendered":"https:\/\/www.qtingtech.com\/?page_id=136"},"modified":"2026-08-23T11:47:45","modified_gmt":"2026-08-23T11:47:45","slug":"a%e6%a0%b8%e5%bf%83%e6%8a%80%e6%9c%af","status":"publish","type":"page","link":"https:\/\/www.qtingtech.com\/en\/a%e6%a0%b8%e5%bf%83%e6%8a%80%e6%9c%af\/","title":{"rendered":"Core Technology"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"136\" class=\"elementor elementor-136\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-36c9c78 e-con-full e-flex e-con e-parent\" data-id=\"36c9c78\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-72dc8d1 elementor-widget elementor-widget-qing-tech-hero\" data-id=\"72dc8d1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"qing-tech-hero.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"qth-wrap qth-full qth-no-overlay qth-full-mobile-fill\">\n\n\t\t\t<div class=\"qth-scene\">\n\t\t\t\t\t\t\t\t\t<picture class=\"qth-picture\">\n\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" class=\"qth-background-image\" src=\"https:\/\/www.qtingtech.com\/wp-content\/uploads\/2026\/08\/image-2.png\" alt=\"\" aria-hidden=\"true\">\n\t\t\t\t\t<\/picture>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t<div class=\"qth-inner\">\n\t\t\t\t<div class=\"qth-left\">\n\n\t\t\t\t\t\t\t\t\t\t\t<p class=\"qth-eyebrow\">CORE TECHNOLOGY<\/p>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<h1 class=\"qth-title\">Make detection smarter and vision more accurate<\/h1>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<p class=\"qth-desc\">QTing builds a Core Technology platform around deep learning AI algorithms and self-developed optical modules, making complex defects clearly visible and precision quality accurately quantified.<\/p>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<div class=\"qth-btns\">\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"#tech-ai\" class=\"qth-btn qth-btn--primary elementor-repeater-item-82923af\">AI algorithm technology<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"#tech-optics\" class=\"qth-btn qth-btn--ghost elementor-repeater-item-798c620\">Self-developed optical imaging technology<\/a>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-99b0c41 e-con-full e-flex e-con e-parent\" data-id=\"99b0c41\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d8e5c79 elementor-widget elementor-widget-qing-tech-ai\" data-id=\"d8e5c79\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"aisuan\" data-widget_type=\"qing-tech-ai.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"qta-wrap\" id=\"tech-ai\">\n\t\t\t<div class=\"qta-inner\">\n\n\t\t\t\t\t\t\t\t\t<p class=\"qta-section-no\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"qta-section-no-num\">01<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\/AI algorithm technology\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<h2 class=\"qta-title\">Let the device not only see, but also accurately judge<\/h2>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"qta-lead\">AI dual-modal learning makes complex defect recognition more stable<\/p>\n\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"qta-flow\">\n\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"2160\" height=\"481\" src=\"https:\/\/www.qtingtech.com\/wp-content\/uploads\/2026\/08\/26ebfa62842973f1f6eda69a004d895a9ba875d0.png\" class=\"attachment-full size-full\" alt=\"AI\u7b97\u6cd5\u6d41\u7a0b\uff1a\u56fe\u50cf\u8f93\u5165 \u2192 \u6df1\u5ea6\u5b66\u4e60\u7f51\u7edc \u2192 AI\u6a21\u578b\u63a8\u7406 \u2192 \u7f3a\u9677\u8bc6\u522b\u7ed3\u679c\" \/>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"qta-card-grid\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"qta-card elementor-repeater-item-430d8de\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"qta-card-icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t<svg viewbox=\"0 0 24 24\"><polygon points=\"12 3 21 8 12 13 3 8 12 3\"><\/polygon><polyline points=\"3 13 12 18 21 13\"><\/polyline><polyline points=\"3 17.5 12 22.5 21 17.5\"><\/polyline><\/svg>\t\t\t\t\t\t<\/span>\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<h3 class=\"qta-card-name\">Dual modal detection engine<\/h3>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<p class=\"qta-card-desc\">Integrating bad sample training and good sample training can not only accurately locate and classify known defects, but also discover under-expressed anomalies and new defects.<\/p>\n\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<div class=\"qta-card elementor-repeater-item-39d4591\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"qta-card-icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t<svg viewbox=\"0 0 24 24\"><rect x=\"3\" y=\"3\" width=\"7\" height=\"7\" rx=\"1\"><\/rect><rect x=\"14\" y=\"3\" width=\"7\" height=\"7\" rx=\"1\"><\/rect><rect x=\"3\" y=\"14\" width=\"7\" height=\"7\" rx=\"1\"><\/rect><rect x=\"14\" y=\"14\" width=\"7\" height=\"7\" rx=\"1\"><\/rect><\/svg>\t\t\t\t\t\t<\/span>\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<h3 class=\"qta-card-name\">Rapid modeling of small samples<\/h3>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<p class=\"qta-card-desc\">Data organization, model training and rapid deployment are completed through the Data2Model tool chain, maintaining a high detection rate and stability when samples are limited, and reducing data collection and labeling costs.<\/p>\n\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<div class=\"qta-card elementor-repeater-item-2218061\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"qta-card-icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t<svg viewbox=\"0 0 24 24\"><path d=\"M21 12a9 9 0 1 1-3-6.7\"><\/path><polyline points=\"21 3 21 8 16 8\"><\/polyline><\/svg>\t\t\t\t\t\t<\/span>\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<h3 class=\"qta-card-name\">Continuous learning and dynamic judgment<\/h3>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<p class=\"qta-card-desc\">Adopt cascade detection and incremental learning mechanisms to automatically accumulate difficult-to-identify defect samples and continuously optimize the classification model\uff1b Dynamically adjust the abnormality determination threshold based on detection data.<\/p>\n\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<div class=\"qta-card elementor-repeater-item-56cb715\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"qta-card-icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t<svg viewbox=\"0 0 24 24\"><circle cx=\"6\" cy=\"6\" r=\"2.5\"><\/circle><circle cx=\"18\" cy=\"6\" r=\"2.5\"><\/circle><circle cx=\"12\" cy=\"18\" r=\"2.5\"><\/circle><path d=\"M8 7.5 15.5 16M16 7.5 8.5 16\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<h3 class=\"qta-card-name\">Algorithm and experience synergy<\/h3>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<p class=\"qta-card-desc\">Practical cases of precipitation detection and experience in process and material defects, combined with reasonable rule optimization technology, improve the detection efficiency of complex products, complex surfaces and mass production scenarios.<\/p>\n\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"qta-foot\">Covers general algorithms such as classification, segmentation, target detection, OCR, and anomaly detection to meet the needs of complex defect identification and quality determination.<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f319b38 e-con-full e-flex e-con e-parent\" data-id=\"f319b38\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bd4eba1 elementor-widget elementor-widget-qing-tech-optics\" data-id=\"bd4eba1\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"aijis\" data-widget_type=\"qing-tech-optics.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"qto-wrap qto-no-overlay\" id=\"tech-optics\" style=\"background-image:url('https:\/\/www.qtingtech.com\/wp-content\/uploads\/2026\/08\/image-3.png')\">\n\t\t\t<div class=\"qto-inner\">\n\t\t\t\t<div class=\"qto-text\">\n\n\t\t\t\t\t\t\t\t\t\t\t<p class=\"qto-section-no\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"qto-section-no-num\">02<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\/Self-developed optical imaging technology\t\t\t\t\t\t<\/p>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<h2 class=\"qto-title\">Construct suitable imaging solutions for different materials and structures<\/h2>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<p class=\"qto-lead\">Match imaging solutions to different materials and structures<\/p>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<p class=\"qto-para elementor-repeater-item-859fd6d\">For inspection scenarios such as wafers and advanced packaging, QTing Technology independently develops multi-modal optical modules focusing on high-resolution 2D imaging and high-precision 3D measurement. Through technologies such as light and dark field switching, variable magnification, multi-channel structured light, depth of field scanning and composite structured light, detection speed, resolution, measurement accuracy and material adaptability are taken into consideration.<\/p>\n\t\t\t\t\t\t\t\t\t\t\t<p class=\"qto-para elementor-repeater-item-ca2e154\">Technical coverage: Objects such as mirrors, highly reflective surfaces, low contrast, height differences, and complex curved surfaces \uff1b Continue to carry out research on high-precision optical technology.<\/p>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<ul class=\"qto-list\">\n\t\t\t\t\t\t\t\t\t\t\t\t<li class=\"qto-item elementor-repeater-item-b369003\">\n\t\t\t\t\t\t\t<span class=\"qto-icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"42\" height=\"42\" viewbox=\"0 0 42 42\" fill=\"none\"><path d=\"M20.777 13.5964C22.6967 13.5964 24.5021 14.3439 25.8622 15.6999C27.2182 17.06 27.9657 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37.078C34.5498 36.8247 34.5498 36.4081 34.2966 36.1549L29.7016 31.5599C29.575 31.4332 29.575 31.2249 29.7016 31.0983L31.0862 29.7137C31.2128 29.5871 31.4211 29.5871 31.5478 29.7137L36.1469 34.3046C36.4001 34.5579 36.8167 34.5579 37.07 34.3046L38.7405 32.6341C38.9202 32.4544 39.2225 32.536 39.2878 32.7811L41.5261 41.1298C41.5915 41.3707 41.3709 41.5954 41.1258 41.53L32.7772 39.2917C32.5321 39.2305 32.4504 38.9241 32.6261 38.7485ZM11.8525 10.4677L10.4679 11.8523C10.3412 11.9789 10.1329 11.9789 10.0063 11.8523L5.39086 7.23689C5.13763 6.98365 4.72101 6.98365 4.46778 7.23689L2.79723 8.90743C2.61751 9.08715 2.31526 9.00546 2.24991 8.76039L0.0116275 0.411749C-0.0537239 0.170766 0.166837 -0.0538796 0.411905 0.0114718L8.76055 2.24976C9.00153 2.31511 9.08322 2.61736 8.90759 2.79708L7.23704 4.46762C6.9838 4.72086 6.9838 5.13747 7.23704 5.39071L11.8525 10.0062C11.9791 10.1328 11.9791 10.3411 11.8525 10.4677ZM41.5424 0.411749L39.3082 8.76039C39.2429 9.00137 38.9406 9.08306 38.7609 8.90743L36.8616 7.00816C36.735 6.88154 36.5267 6.88154 36.4001 7.00816L31.5314 11.8728C31.4048 11.9994 31.1965 11.9994 31.0699 11.8728L29.6812 10.4881C29.5545 10.3615 29.5545 10.1532 29.6812 10.0266L34.5458 5.16198C34.6724 5.03536 34.6724 4.82705 34.5458 4.70044L32.6465 2.80116C32.4668 2.62144 32.5485 2.31919 32.7935 2.25384L41.1422 0.0155563C41.3872 -0.0538796 41.6078 0.170766 41.5424 0.411749Z\" fill=\"#075ED4\"><\/path><\/svg>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"qto-label\">Various optical modules<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t<li class=\"qto-item elementor-repeater-item-48395d3\">\n\t\t\t\t\t\t\t<span class=\"qto-icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"41\" height=\"41\" viewbox=\"0 0 41 41\" fill=\"none\"><path d=\"M29.1182 25.6266H27.2579L26.5591 24.9269C28.8862 22.3639 30.2822 18.8693 30.2822 15.1423C30.2822 6.75378 23.5282 0 15.1396 0C6.75346 0 0 6.75378 0 15.1423C0 23.5309 6.7534 30.2817 15.1396 30.2817C18.8691 30.2817 22.3637 28.8862 24.9277 26.5587L25.6234 27.2584V29.1212L37.2719 40.766L40.766 37.2715L29.1182 25.6266ZM15.1396 25.6266C9.31339 25.6266 4.65477 20.9679 4.65477 15.1423C4.65477 9.31326 9.31345 4.65808 15.1396 4.65808C20.9678 4.65808 25.6234 9.31326 25.6234 15.1423C25.6234 20.9679 20.9678 25.6266 15.1396 25.6266Z\" fill=\"#075ED4\"><\/path><\/svg>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"qto-label\">Multiple variable magnification<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t<li class=\"qto-item elementor-repeater-item-8c0e2f7\">\n\t\t\t\t\t\t\t<span class=\"qto-icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"42\" height=\"42\" viewbox=\"0 0 42 42\" fill=\"none\"><path d=\"M33.9827 7.18865V2.61406C33.9827 1.17224 32.8105 0 31.3687 0H2.61406C1.17224 0 0 1.17224 0 2.61406V31.3687C0 32.8105 1.17224 33.9827 2.61406 33.9827H7.18865C7.54809 33.9827 7.84217 34.2768 7.84217 34.6362V39.2108C7.84217 40.6527 9.01441 41.8249 10.4562 41.8249H39.2108C40.6527 41.8249 41.8249 40.6527 41.8249 39.2108V10.4562C41.8249 9.01441 40.6527 7.84217 39.2108 7.84217H34.6362C34.2768 7.84217 33.9827 7.54809 33.9827 7.18865ZM7.18865 31.3687H3.26757C2.90814 31.3687 2.61406 31.0746 2.61406 30.7152V3.26757C2.61406 2.90814 2.90814 2.61406 3.26757 2.61406H30.7152C31.0746 2.61406 31.3687 2.90814 31.3687 3.26757V7.18865C31.3687 7.54809 31.0746 7.84217 30.7152 7.84217H10.4562C9.01441 7.84217 7.84217 9.01441 7.84217 10.4562V30.7152C7.84217 31.0746 7.54809 31.3687 7.18865 31.3687ZM38.5573 39.2108H11.1097C10.7503 39.2108 10.4562 38.9168 10.4562 38.5573V11.1097C10.4562 10.7503 10.7503 10.4562 11.1097 10.4562H38.5573C38.9168 10.4562 39.2108 10.7503 39.2108 11.1097V38.5573C39.2108 38.9168 38.9168 39.2108 38.5573 39.2108Z\" fill=\"#075ED4\"><\/path><\/svg>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"qto-label\">Multiple structured light<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t<li class=\"qto-item elementor-repeater-item-9f79428\">\n\t\t\t\t\t\t\t<span class=\"qto-icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"42\" height=\"42\" viewbox=\"0 0 42 42\" fill=\"none\"><path d=\"M20.9124 29.9535C15.9266 29.9535 11.8714 25.8983 11.8714 20.9124C11.8714 15.9266 15.9266 11.8714 20.9124 11.8714C25.8983 11.8714 29.9535 15.9266 29.9535 20.9124C29.9535 25.8983 25.8965 29.9535 20.9124 29.9535ZM20.9124 15.3567C19.4394 15.3581 18.0271 15.9439 16.9855 16.9855C15.9439 18.0271 15.3581 19.4394 15.3567 20.9124C15.3581 22.3855 15.9439 23.7978 16.9855 24.8394C18.0271 25.881 19.4394 26.4668 20.9124 26.4682C22.3855 26.4668 23.7978 25.881 24.8394 24.8394C25.881 23.7978 26.4668 22.3855 26.4682 20.9124C26.4668 19.4394 25.881 18.0271 24.8394 16.9855C23.7978 15.9439 22.3855 15.3581 20.9124 15.3567ZM22.6551 7.01447C22.6492 7.47082 22.4623 7.90613 22.1355 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