{"id":2408,"date":"2025-10-10T06:48:35","date_gmt":"2025-10-10T06:48:35","guid":{"rendered":"https:\/\/webroad-seisaku.com\/kudan\/?page_id=2408"},"modified":"2026-05-13T19:50:57","modified_gmt":"2026-05-13T19:50:57","slug":"spatial-recognition","status":"publish","type":"page","link":"https:\/\/webroad-seisaku.com\/kudan\/spatial-recognition\/","title":{"rendered":"Spatial Intelligence and Analytics"},"content":{"rendered":"\n<div class=\"wp-block-cover alignfull has-custom-content-position is-position-top-center vk_custom_css_3\"><img decoding=\"async\" class=\"wp-block-cover__image-background wp-image-4508 size-full\" alt=\"\" src=\"https:\/\/webroad-seisaku.com\/kudan\/jp\/wp-content\/uploads\/2026\/05\/Spatial_Intelligence_KV-scaled.jpg\" data-object-fit=\"cover\"\/><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-70 has-background-dim wp-block-cover__gradient-background has-background-gradient\" style=\"background:linear-gradient(135deg,rgb(15,20,25) 2%,rgb(26,31,46) 51%,rgb(45,26,26) 99%)\"><\/span><div class=\"wp-block-cover__inner-container is-layout-constrained wp-block-cover-is-layout-constrained\">\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer vk_hidden-xs vk_hidden-sm vk_hidden-md\"><\/div>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer vk_hidden-lg vk_hidden-xl-v2 vk_hidden-xxl\"><\/div>\n\n\n\n<div class=\"label-container-2\">\n  <span class=\"label\">Spatial Intelligence\u30fbAnalytics Technology<\/span>\n<\/div>\n\n\n\n<div class=\"wp-block-group big-p is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"has-text-align-center vk_custom_css_1 vk_block-margin-0--margin-bottom vk_block-margin-sm--margin-top\" style=\"font-size:4rem;line-height:1.3\">From 3D Data to<br>Spatial Insight that Drives<\/p>\n\n\n\n<p class=\"has-text-align-center vk_custom_css_2 vk_block-margin-0--margin-top vk_block-margin-0--margin-bottom\" style=\"font-size:4rem;line-height:1.3\">Decisions, Predictions, and Actions<\/p>\n\n\n\n<div style=\"height:0px\" aria-hidden=\"true\" class=\"wp-block-spacer vk_hidden-xxl vk_hidden-xl-v2 vk_hidden-lg\"><\/div>\n<\/div>\n\n\n\n<p class=\"has-text-align-center has-text-color has-link-color wp-elements-11e19b2581af4d90cc2bd1d544914e76\" style=\"color:#d1d5db\">Kudan is advancing the development of core algorithms that recognize, understand, edit, and analyze physical spaces, centered on spatial perception technologies for robotics and digital twins.<\/p>\n\n\n\n<p class=\"has-text-align-center has-text-color has-link-color wp-elements-d791bcf9507eb507df20511a1812e021\" style=\"color:#d1d5db\">Through semantic 3D spatial understanding, simulation-ready spatial editing, environmental change and difference analysis, and predictive risk analysis, Kudan evolves physical AI infrastructure from a simple reproduction of the real world into a foundation that supports recognition, decision-making, and autonomous action.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer vk_hidden-lg vk_hidden-xl-v2 vk_hidden-xxl\"><\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns are-vertically-aligned-center is-vk-row-reverse is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-group vk_custom_css_4 has-background is-layout-constrained wp-block-group-is-layout-constrained\" style=\"border-top-left-radius:1rem;border-top-right-radius:1rem;border-bottom-left-radius:1rem;border-bottom-right-radius:1rem;background-color:#ddeaf8\">\n<div class=\"wp-block-font-awesome-icon aligncenter wp-font-awesome-icon\" style=\"display:flex;justify-content:center\"><svg aria-hidden=\"true\" focusable=\"false\" data-prefix=\"fas\" data-icon=\"brain\" class=\"svg-inline--fa fa-brain \" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\" style=\"transform-origin:0.5em 0.5em;font-size:2em\" color=\"#3b6fd4\"><g transform=\"translate(256 256)\"><g transform=\"translate(0, 0)  scale(-1, 1)  rotate(0 0 0)\"><path fill=\"currentColor\" d=\"M120 56c0-30.9 25.1-56 56-56l24 0c17.7 0 32 14.3 32 32l0 448c0 17.7-14.3 32-32 32l-32 0c-29.8 0-54.9-20.4-62-48-.7 0-1.3 0-2 0-44.2 0-80-35.8-80-80 0-18 6-34.6 16-48-19.4-14.6-32-37.8-32-64 0-30.9 17.6-57.8 43.2-71.1-7.1-12-11.2-26-11.2-40.9 0-44.2 35.8-80 80-80l0-24zm272 0l0 24c44.2 0 80 35.8 80 80 0 15-4.1 29-11.2 40.9 25.7 13.3 43.2 40.1 43.2 71.1 0 26.2-12.6 49.4-32 64 10 13.4 16 30 16 48 0 44.2-35.8 80-80 80-.7 0-1.3 0-2 0-7.1 27.6-32.2 48-62 48l-32 0c-17.7 0-32-14.3-32-32l0-448c0-17.7 14.3-32 32-32l24 0c30.9 0 56 25.1 56 56z\" transform=\"translate(-256 -256)\"><\/path><\/g><\/g><\/svg><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading is-style-vk-heading-plain vk_block-margin-sm--margin-top\">Semantic 3D Spatial Understanding<\/h2>\n\n\n\n<p style=\"font-size:1.2rem\"><strong>Enabling AI to understand the meaning of physical spaces<\/strong><\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-5295e19b63089172c322bface1d5cff9\" style=\"color:#646774\">Our technology analyzes spatial data acquired from cameras, LiDAR, point clouds, and 3DGS to automatically recognize and classify equipment, structures, roads, work areas, hazardous zones, and more.<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-bd3c38f239d7080213b7997eca689f3f\" style=\"color:#646774\">By giving robots and digital twins the ability to understand real-world spaces not merely as 3D shapes, but as meaningful spatial information, Kudan enables more advanced autonomous operations and decision-making support.<\/p>\n\n\n\n<ul class=\"wp-block-list is-style-vk-check-circle-mark vk_list_5\">\n<li>Automatically recognizes equipment, structures, roads, and work areas<\/li>\n\n\n\n<li>Detects and classifies movable or temporary objects, hazardous areas, and entry-restricted zones<\/li>\n\n\n\n<li>Understands the roles and relationships of objects and areas within a space<\/li>\n\n\n\n<li>Applies to autonomous mobile robots, facility inspection, and facility management<\/li>\n\n\n\n<li>Transforms 3D data from \u201cvisible\u201d information into \u201cunderstandable\u201d spatial intelligence<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-video\"><video height=\"1080\" style=\"aspect-ratio: 1440 \/ 1080;\" width=\"1440\" autoplay loop muted src=\"https:\/\/webroad-seisaku.com\/kudan\/wp-content\/uploads\/2026\/05\/SP_Semantics_EN.mp4\" playsinline><\/video><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns are-vertically-aligned-center is-vk-row-reverse is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-group vk_custom_css_6 has-background is-layout-constrained wp-block-group-is-layout-constrained\" style=\"border-top-left-radius:1rem;border-top-right-radius:1rem;border-bottom-left-radius:1rem;border-bottom-right-radius:1rem;background-color:#d4f5ee\">\n<div class=\"wp-block-font-awesome-icon aligncenter wp-font-awesome-icon\" style=\"display:flex;justify-content:center\"><svg aria-hidden=\"true\" focusable=\"false\" data-prefix=\"fas\" data-icon=\"sliders\" class=\"svg-inline--fa fa-sliders \" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\" style=\"transform-origin:0.5em 0.5em;font-size:2em\" color=\"#2bbfa0\"><g transform=\"translate(256 256)\"><g transform=\"translate(0, 0)  scale(-1, 1)  rotate(0 0 0)\"><path fill=\"currentColor\" d=\"M32 64C14.3 64 0 78.3 0 96s14.3 32 32 32l86.7 0c12.3 28.3 40.5 48 73.3 48s61-19.7 73.3-48L480 128c17.7 0 32-14.3 32-32s-14.3-32-32-32L265.3 64C253 35.7 224.8 16 192 16s-61 19.7-73.3 48L32 64zm0 160c-17.7 0-32 14.3-32 32s14.3 32 32 32l246.7 0c12.3 28.3 40.5 48 73.3 48s61-19.7 73.3-48l54.7 0c17.7 0 32-14.3 32-32s-14.3-32-32-32l-54.7 0c-12.3-28.3-40.5-48-73.3-48s-61 19.7-73.3 48L32 224zm0 160c-17.7 0-32 14.3-32 32s14.3 32 32 32l54.7 0c12.3 28.3 40.5 48 73.3 48s61-19.7 73.3-48L480 448c17.7 0 32-14.3 32-32s-14.3-32-32-32l-246.7 0c-12.3-28.3-40.5-48-73.3-48s-61 19.7-73.3 48L32 384z\" transform=\"translate(-256 -256)\"><\/path><\/g><\/g><\/svg><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading is-style-vk-heading-plain vk_block-margin-sm--margin-top\">Spatial Editing for Simulation<\/h2>\n\n\n\n<p style=\"font-size:1.2rem\"><strong>Transforming real-world spaces into simulation-ready digital environments<\/strong><\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-6e7fb9177e415c6598979bd0d3cd38fd\" style=\"color:#646774\">Our technology converts high-precision, photo-realistic 3D data captured from real-world environments into digital spaces that are easier to use for robot simulation, facility planning, work validation, and operational optimization.<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-b0ed1524ac7abd70f49f92a8bc4c3370\" style=\"color:#646774\">On a real-world-based digital twin, users can define route plans, modify layouts, verify safety, and conduct pre-validation of operations.<\/p>\n\n\n\n<ul class=\"wp-block-list is-style-vk-check-circle-mark vk_list_7\">\n<li>Removes unnecessary elements and cleans up spatial data<\/li>\n\n\n\n<li>Separates areas such as floors, walls, roads, obstacles, and equipment<\/li>\n\n\n\n<li>Defines movable spaces and restricted-access zones<\/li>\n\n\n\n<li>Builds simulation environments with physical properties and semantic information<\/li>\n\n\n\n<li>Supports pre-validation of robot navigation, work procedures, and layout changes<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-video\"><video height=\"1080\" style=\"aspect-ratio: 1440 \/ 1080;\" width=\"1440\" autoplay loop muted src=\"https:\/\/webroad-seisaku.com\/kudan\/wp-content\/uploads\/2026\/05\/SP_Space_Modification.mp4\" playsinline><\/video><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns are-vertically-aligned-center is-vk-row-reverse is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-group vk_custom_css_8 has-background is-layout-constrained wp-block-group-is-layout-constrained\" style=\"border-top-left-radius:1rem;border-top-right-radius:1rem;border-bottom-left-radius:1rem;border-bottom-right-radius:1rem;background-color:#fde8d4\">\n<div class=\"wp-block-font-awesome-icon aligncenter wp-font-awesome-icon\" style=\"display:flex;justify-content:center\"><svg aria-hidden=\"true\" focusable=\"false\" data-prefix=\"fas\" data-icon=\"clock-rotate-left\" class=\"svg-inline--fa fa-clock-rotate-left \" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 576 512\" style=\"font-size:2em\" color=\"#e8720c\"><path fill=\"currentColor\" d=\"M288 64c106 0 192 86 192 192S394 448 288 448c-65.2 0-122.9-32.5-157.6-82.3-10.1-14.5-30.1-18-44.6-7.9s-18 30.1-7.9 44.6C124.1 468.6 201 512 288 512 429.4 512 544 397.4 544 256S429.4 0 288 0C202.3 0 126.5 42.1 80 106.7L80 80c0-17.7-14.3-32-32-32S16 62.3 16 80l0 112c0 17.7 14.3 32 32 32l24.6 0c.5 0 1 0 1.5 0l86 0c17.7 0 32-14.3 32-32s-14.3-32-32-32l-38.3 0C154.9 102.6 217 64 288 64zm24 88c0-13.3-10.7-24-24-24s-24 10.7-24 24l0 104c0 6.4 2.5 12.5 7 17l72 72c9.4 9.4 24.6 9.4 33.9 0s9.4-24.6 0-33.9l-65-65 0-94.1z\"><\/path><\/svg><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading is-style-vk-heading-plain vk_block-margin-sm--margin-top\">Environmental Change and Difference Analysis<\/h2>\n\n\n\n<p style=\"font-size:1.2rem\"><strong>Continuously capturing changes in the field<\/strong><\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-a498b92789ccd63fc35bee0667f272e3\" style=\"color:#646774\">Our technology compares continuously acquired and updated 3D spatial data to automatically detect changes and differences in on-site environments.<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-e9a14c5f9cb9ffff3a45513fa4235750\" style=\"color:#646774\">It detects changes in equipment placement, the appearance of obstacles, structural changes, deterioration, damage, and other signs of anomalies, while continuously synchronizing the digital twin with the real world.<\/p>\n\n\n\n<ul class=\"wp-block-list is-style-vk-check-circle-mark vk_list_9\">\n<li>Automatically compares past and current 3D spatial data<\/li>\n\n\n\n<li>Detects the addition, removal, or relocation of equipment, fixtures, and obstacles<\/li>\n\n\n\n<li>Extracts signs of structural change, deterioration, and damage<\/li>\n\n\n\n<li>Supports progress monitoring for construction, maintenance, and inspection work<\/li>\n\n\n\n<li>Continuously synchronizes the digital twin with the real world<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"843\" height=\"633\" src=\"https:\/\/webroad-seisaku.com\/kudan\/wp-content\/uploads\/2026\/05\/SP_Diff_Detection.png\" alt=\"\" class=\"wp-image-3127\" srcset=\"https:\/\/webroad-seisaku.com\/kudan\/wp-content\/uploads\/2026\/05\/SP_Diff_Detection.png 843w, https:\/\/webroad-seisaku.com\/kudan\/wp-content\/uploads\/2026\/05\/SP_Diff_Detection-300x225.png 300w, https:\/\/webroad-seisaku.com\/kudan\/wp-content\/uploads\/2026\/05\/SP_Diff_Detection-768x577.png 768w\" sizes=\"auto, (max-width: 843px) 100vw, 843px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns are-vertically-aligned-center is-vk-row-reverse is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-group vk_custom_css_10 has-background is-layout-constrained wp-block-group-is-layout-constrained\" style=\"border-top-left-radius:1rem;border-top-right-radius:1rem;border-bottom-left-radius:1rem;border-bottom-right-radius:1rem;background-color:#eae0f8\">\n<div class=\"wp-block-font-awesome-icon aligncenter wp-font-awesome-icon\" style=\"display:flex;justify-content:center\"><svg aria-hidden=\"true\" focusable=\"false\" data-prefix=\"fas\" data-icon=\"triangle-exclamation\" class=\"svg-inline--fa fa-triangle-exclamation \" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\" style=\"transform-origin:0.5em 0.5em;font-size:2em\" color=\"#7b3fd4\"><g transform=\"translate(256 256)\"><g transform=\"translate(0, 0)  scale(-1, 1)  rotate(0 0 0)\"><path fill=\"currentColor\" d=\"M256 0c14.7 0 28.2 8.1 35.2 21l216 400c6.7 12.4 6.4 27.4-.8 39.5S486.1 480 472 480L40 480c-14.1 0-27.2-7.4-34.4-19.5s-7.5-27.1-.8-39.5l216-400c7-12.9 20.5-21 35.2-21zm0 352a32 32 0 1 0 0 64 32 32 0 1 0 0-64zm0-192c-18.2 0-32.7 15.5-31.4 33.7l7.4 104c.9 12.5 11.4 22.3 23.9 22.3 12.6 0 23-9.7 23.9-22.3l7.4-104c1.3-18.2-13.1-33.7-31.4-33.7z\" transform=\"translate(-256 -256)\"><\/path><\/g><\/g><\/svg><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading is-style-vk-heading-plain vk_block-margin-sm--margin-top\">Predictive Risk Analysis<\/h2>\n\n\n\n<p style=\"font-size:1.2rem\"><strong>Predicting future risks from field data<\/strong><\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-045c6de86120594edb81f89e05cebe00\" style=\"color:#646774\">Our technology analyzes spatial data, equipment information, sensor data, inspection history, robot operation logs, and other inputs to predict future risks and operational issues.<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-22e13f2bdf6611e4993613ae80e83ffc\" style=\"color:#646774\">It helps identify potential failures, deterioration, hazardous areas, and bottlenecks in movement routes in advance, supporting the optimization of maintenance planning, work scheduling, and robot operations.<\/p>\n\n\n\n<ul class=\"wp-block-list is-style-vk-check-circle-mark vk_list_11\">\n<li>Integrates and analyzes spatial data, equipment information, and sensor data<\/li>\n\n\n\n<li>Predicts the possibility of failures, deterioration, and abnormal events<\/li>\n\n\n\n<li>Evaluates risks for human flow, vehicle flow, and robot movement routes<\/li>\n\n\n\n<li>Identifies bottlenecks in logistics, production, and inspection operations<\/li>\n\n\n\n<li>Supports the optimization of preventive maintenance, work planning, and facility operations<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-video\"><video height=\"1080\" style=\"aspect-ratio: 1440 \/ 1080;\" width=\"1440\" autoplay loop muted src=\"https:\/\/webroad-seisaku.com\/kudan\/wp-content\/uploads\/2026\/05\/SP_Risk_Detection.mp4\" playsinline><\/video><\/figure>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Semantic 3D Spatial Understanding Enabling AI to understand the meaning of physical spaces Our technology analyzes spatial data acquired from cameras, LiDAR, point clouds, and 3DGS to automatically recognize and classify equipment, structures, roads, work areas, hazardous zones, and more. By giving robots and digital twins the ability to understand real-world spaces not merely as [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"sns_share_botton_hide":"","vkExUnit_sns_title":"","_vk_print_noindex":"","sitemap_hide":"","vkExUnit_sitemap":"","_veu_custom_css":"","veu_display_promotion_alert":"common","_exclude_from_list_pages":"","vkexunit_cta_each_option":"","vkExUnit_childPageIndex":"","vkExUnit_pageList_ancestor":"","vkExUnit_contact_enable":"","_lightning_design_setting":{"layout":"default","section_base":"default","header_trans":"default","site_body_padding":"true","hide_page_header":"true","hide_breadcrumb":"true"},"header_top_description":"","vk_page_header_image":0,"vk_page_header_image_sp":0,"vk_page_header_subtext":"","footnotes":""},"class_list":["post-2408","page","type-page","status-publish","hentry"],"veu_head_title_object":{"title":"","add_site_title":""},"_links":{"self":[{"href":"https:\/\/webroad-seisaku.com\/kudan\/wp-json\/wp\/v2\/pages\/2408","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/webroad-seisaku.com\/kudan\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/webroad-seisaku.com\/kudan\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/webroad-seisaku.com\/kudan\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/webroad-seisaku.com\/kudan\/wp-json\/wp\/v2\/comments?post=2408"}],"version-history":[{"count":6,"href":"https:\/\/webroad-seisaku.com\/kudan\/wp-json\/wp\/v2\/pages\/2408\/revisions"}],"predecessor-version":[{"id":3259,"href":"https:\/\/webroad-seisaku.com\/kudan\/wp-json\/wp\/v2\/pages\/2408\/revisions\/3259"}],"wp:attachment":[{"href":"https:\/\/webroad-seisaku.com\/kudan\/wp-json\/wp\/v2\/media?parent=2408"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}