{"id":8604,"date":"2026-07-10T10:48:16","date_gmt":"2026-07-10T03:48:16","guid":{"rendered":"https:\/\/www.infra-corp.co\/?p=8604"},"modified":"2026-07-10T13:50:44","modified_gmt":"2026-07-10T06:50:44","slug":"infras-work-featured-in-the-civil-insight-series","status":"publish","type":"post","link":"https:\/\/www.infra-corp.co\/en\/infras-work-featured-in-the-civil-insight-series\/","title":{"rendered":"iNFRA&#8217;s Work Featured in the Civil Insight Series"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"8604\" class=\"elementor elementor-8604 elementor-8594\" data-elementor-settings=\"{&quot;element_pack_global_tooltip_width&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;element_pack_global_tooltip_width_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;element_pack_global_tooltip_width_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;element_pack_global_tooltip_padding&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;top&quot;:&quot;&quot;,&quot;right&quot;:&quot;&quot;,&quot;bottom&quot;:&quot;&quot;,&quot;left&quot;:&quot;&quot;,&quot;isLinked&quot;:true},&quot;element_pack_global_tooltip_padding_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;top&quot;:&quot;&quot;,&quot;right&quot;:&quot;&quot;,&quot;bottom&quot;:&quot;&quot;,&quot;left&quot;:&quot;&quot;,&quot;isLinked&quot;:true},&quot;element_pack_global_tooltip_padding_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;top&quot;:&quot;&quot;,&quot;right&quot;:&quot;&quot;,&quot;bottom&quot;:&quot;&quot;,&quot;left&quot;:&quot;&quot;,&quot;isLinked&quot;:true},&quot;element_pack_global_tooltip_border_radius&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;top&quot;:&quot;&quot;,&quot;right&quot;:&quot;&quot;,&quot;bottom&quot;:&quot;&quot;,&quot;left&quot;:&quot;&quot;,&quot;isLinked&quot;:true},&quot;element_pack_global_tooltip_border_radius_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;top&quot;:&quot;&quot;,&quot;right&quot;:&quot;&quot;,&quot;bottom&quot;:&quot;&quot;,&quot;left&quot;:&quot;&quot;,&quot;isLinked&quot;:true},&quot;element_pack_global_tooltip_border_radius_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;top&quot;:&quot;&quot;,&quot;right&quot;:&quot;&quot;,&quot;bottom&quot;:&quot;&quot;,&quot;left&quot;:&quot;&quot;,&quot;isLinked&quot;:true}}\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f1ce016 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f1ce016\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f5ac370\" data-id=\"f5ac370\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7c2f0fe elementor-widget elementor-widget-image\" data-id=\"7c2f0fe\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"534\" src=\"https:\/\/www.infra-corp.co\/wp-content\/uploads\/2026\/07\/\u0e27\u0e2a\u0e17-1024x683.png\" class=\"attachment-large size-large wp-image-8596\" alt=\"\" srcset=\"https:\/\/www.infra-corp.co\/wp-content\/uploads\/2026\/07\/\u0e27\u0e2a\u0e17-1024x683.png 1024w, https:\/\/www.infra-corp.co\/wp-content\/uploads\/2026\/07\/\u0e27\u0e2a\u0e17-300x200.png 300w, https:\/\/www.infra-corp.co\/wp-content\/uploads\/2026\/07\/\u0e27\u0e2a\u0e17-768x512.png 768w, https:\/\/www.infra-corp.co\/wp-content\/uploads\/2026\/07\/\u0e27\u0e2a\u0e17.png 1536w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3b0844f elementor-widget elementor-widget-text-editor\" data-id=\"3b0844f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong><span style=\"font-size: 12pt; color: #000000;\">iNFRA&#8217;s AI Vehicle Classification System Featured in the Civil Insight Series by the Civil Engineering Committee of EIT<\/span><\/strong><\/p><p class=\"isSelectedEnd\"><span style=\"font-size: 12pt; color: #000000;\">iNFRA Co., Ltd. is proud to announce that its article, <strong>&#8220;A New Era of Traffic Data Collection with Artificial Intelligence,&#8221;<\/strong> has been featured in <strong>Civil Insight Series Content (Ep.46 DIT-CACE\/004)<\/strong> by the <strong>Civil Engineering Committee of the Engineering Institute of Thailand under H.M. The King&#8217;s Patronage (EIT)<\/strong>. This recognition reflects iNFRA&#8217;s expertise in applying Artificial Intelligence (AI) to support traffic engineering and infrastructure development.<\/span><\/p><p><strong><span style=\"font-size: 12pt; color: #000000;\">A New Era of Traffic Data Collection with Artificial Intelligence<\/span><\/strong><\/p><p class=\"isSelectedEnd\"><span style=\"font-size: 12pt; color: #000000;\">Traffic volume surveys provide fundamental data for road design, infrastructure planning, traffic management, and Smart City development. Traditionally, traffic surveys relied on personnel manually counting vehicles from video recordings or at survey sites, a process that is time-consuming, costly, and susceptible to human error.<\/span><\/p><p class=\"isSelectedEnd\"><span style=\"font-size: 12pt; color: #000000;\">Today, <strong>Artificial Intelligence (AI)<\/strong> combined with <strong>Computer Vision<\/strong> is transforming traffic data collection by enabling faster, more accurate, and real-time detection, analysis, and data processing.<\/span><\/p><p><strong><span style=\"font-size: 12pt; color: #000000;\">What is the AI Vehicle Classification System?<\/span><\/strong><\/p><p class=\"isSelectedEnd\"><span style=\"font-size: 12pt; color: #000000;\">The <strong>AI Vehicle Classification System<\/strong> is a Deep Learning-based solution that analyzes video footage to automatically detect, track, and classify vehicles while processing traffic data in real time.<\/span><\/p><p class=\"isSelectedEnd\"><strong><span style=\"font-size: 12pt; color: #000000;\">The system integrates several core technologies, including:<\/span><\/strong><\/p><ul><li><span style=\"font-size: 12pt; color: #000000;\">YOLOv10 for Object Detection<\/span><\/li><li><span style=\"font-size: 12pt; color: #000000;\">Multi-Object Tracking (ByteTrack \/ OC-SORT)<\/span><\/li><li><span style=\"font-size: 12pt; color: #000000;\">Vehicle Classification<\/span><\/li><li><span style=\"font-size: 12pt; color: #000000;\">Video Analytics<\/span><\/li><\/ul><p><strong><span style=\"font-size: 12pt; color: #000000;\">Why is Multi-Object Tracking Important?<\/span><\/strong><\/p><p class=\"isSelectedEnd\"><span style=\"font-size: 12pt; color: #000000;\">Object Detection alone cannot determine whether a detected vehicle is the same one appearing across consecutive video frames or a different vehicle. Without an effective tracking mechanism, a single vehicle may be counted multiple times as it moves through the video.<\/span><\/p><p class=\"isSelectedEnd\"><span style=\"font-size: 12pt; color: #000000;\">Multi-Object Tracking addresses this challenge by assigning a unique Object ID to each vehicle, continuously tracking its movement, preventing duplicate counting, and improving the accuracy of traffic data for engineering analysis.<\/span><\/p><p class=\"isSelectedEnd\"><span style=\"font-size: 12pt; color: #000000;\">In simple terms, <strong>Detection<\/strong> enables the system to &#8220;see&#8221; an object, while <strong>Tracking<\/strong> enables it to &#8220;understand&#8221; the object&#8217;s movement. Together, these technologies provide reliable data for engineering applications.<\/span><\/p><p><strong><span style=\"font-size: 12pt; color: #000000;\">System Capabilities<\/span><\/strong><\/p><p class=\"isSelectedEnd\"><span style=\"font-size: 12pt; color: #000000;\">The AI Vehicle Classification System is capable of:<\/span><\/p><ul><li><span style=\"font-size: 12pt; color: #000000;\">Classifying 13 vehicle categories<\/span><\/li><li><span style=\"font-size: 12pt; color: #000000;\">Operating under various lighting conditions<\/span><\/li><li><span style=\"font-size: 12pt; color: #000000;\">Performing real-time traffic analysis<\/span><\/li><li><span style=\"font-size: 12pt; color: #000000;\">Achieving an accuracy of over 91%<\/span><\/li><\/ul><p><strong><span style=\"font-size: 12pt; color: #000000;\">Engineering Applications<\/span><\/strong><\/p><p class=\"isSelectedEnd\"><span style=\"font-size: 12pt; color: #000000;\">The traffic data generated by the AI Vehicle Classification System can support a wide range of engineering and infrastructure planning applications, including:<\/span><\/p><ul><li><span style=\"font-size: 12pt; color: #000000;\">Traffic Survey<\/span><\/li><li><span style=\"font-size: 12pt; color: #000000;\">Highway Engineering<\/span><\/li><li><span style=\"font-size: 12pt; color: #000000;\">Pavement Design<\/span><\/li><li><span style=\"font-size: 12pt; color: #000000;\">Traffic Impact Assessment (TIA)<\/span><\/li><li><span style=\"font-size: 12pt; color: #000000;\">Intelligent Transportation Systems (ITS)<\/span><\/li><li><span style=\"font-size: 12pt; color: #000000;\">Smart City<\/span><\/li><li><span style=\"font-size: 12pt; color: #000000;\">Transportation Planning<\/span><\/li><li><span style=\"font-size: 12pt; color: #000000;\">Digital Twin<\/span><\/li><\/ul><p><span style=\"font-size: 12pt; color: #000000;\">The publication of this article in <strong>Civil Insight Series Content<\/strong> by the <strong>Civil Engineering Committee of the Engineering Institute of Thailand under H.M. The King&#8217;s Patronage (EIT)<\/strong> marks another milestone for iNFRA. It reflects the company&#8217;s ongoing commitment to advancing engineering knowledge and technological innovation to support the development of transportation systems and sustainable infrastructure.<\/span><\/p><p data-pm-slice=\"0 0 []\"><strong>Read the Full Article :<\/strong> <a href=\"https:\/\/www.facebook.com\/share\/p\/18vUrxaqP4\/\">https:\/\/www.facebook.com\/share\/p\/18vUrxaqP4\/<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>iNFRA Co., Ltd. is proud to announce that its article, &#8220;A New Era of Traffic Data Collection with Artificial Intelligence,&#8221; has been featured in Civil Insight Series Content (Ep.46 DIT-CACE\/004) by the Civil Engineering Committee of the Engineering Institute of Thailand under H.M. The King&#8217;s Patronage (EIT). This recognition reflects the company&#8217;s expertise in applying Artificial Intelligence (AI) to support traffic engineering and infrastructure development.<\/p>\n","protected":false},"author":2,"featured_media":8596,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[71,2],"tags":[102,108,109],"class_list":["post-8604","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-esg-en","category-news","tag-esg-en","tag--en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>iNFRA&#039;s Work Featured in the Civil Insight Series - iNFRA<\/title>\n<meta name=\"description\" content=\"iNFRA&#039;s article, &quot;A New Era of Traffic Data Collection with Artificial Intelligence,&quot; has been featured in Civil Insight Series Content, highlighting the company&#039;s expertise in AI-driven traffic data analysis and intelligent infrastructure solutions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.infra-corp.co\/en\/infras-work-featured-in-the-civil-insight-series\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"iNFRA&#039;s Work Featured in the Civil Insight Series - 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