{"id":2077,"date":"2025-08-14T06:30:54","date_gmt":"2025-08-14T06:30:54","guid":{"rendered":"https:\/\/webroad-seisaku.com\/fujiko-test\/?p=2077"},"modified":"2025-08-14T08:08:04","modified_gmt":"2025-08-14T08:08:04","slug":"kudan-launches-next-generation-digital-twin-solution-kudan-prism","status":"publish","type":"post","link":"https:\/\/webroad-seisaku.com\/fujiko-test\/archives\/2077","title":{"rendered":"Kudan Launches Next-Generation Digital Twin Solution \u201cKudan PRISM\u201d  ~ Accelerating Digital Transformation in Facility and Asset Management with Photo-Realistic 3D Visualization and Advanced Spatial Intelligence ~"},"content":{"rendered":"<p>Kudan Inc. (hereinafter \u201cKudan\u201d) is pleased to announce the official launch of its next-generation digital twin solution, Kudan PRISM (Photo-Realistic Integrated Spatial Management). This solution is an evolution of the company\u2019s existing DAMS (Digital Asset Management Solution), and combines cutting-edge 3D Gaussian Splatting technology with Kudan\u2019s proprietary Spatial Intelligence capabilities. It delivers an entirely new platform for space and asset information management, enabling the use of Photo-realistic 3D reconstructions of real-world environments while seamlessly integrating AI-powered automated analysis with advanced facility and asset data management.<\/p>\n<h2><strong>1. Solution Overview and Key Features<\/strong><\/h2>\n<p>In the field of maintaining bridges, tunnels, plants, and urban infrastructure, the challenges of aging assets and a shortage of skilled personnel are becoming increasingly severe. There is a growing need to balance highly accurate condition assessment with efficient maintenance operations. Conventional \u201c3D point cloud-centric\u201d solutions have faced significant issues, including large data sizes, slow rendering and limited operability, and difficulties in data integration.<\/p>\n<p>Kudan PRISM is a platform developed to address these challenges and accelerate digital transformation (DX) in the field. It enables the rapid generation and utilization of lightweight, photo-realistic 3D digital twins enriched with semantic information,aking it intuitive and easy for anyone to share and analyze spatial information that was previously difficult to handle.<\/p>\n<p>The solution can be applied across a wide range of fields, including facility and asset management, infrastructure inspection, robotics simulation, and smart city initiatives. Combining smooth, photo-realistic 3D visualization with Kudan\u2019s Spatial Intelligence technology and AI-driven automation, it delivers an end-to-end workflow, from classification, tagging, and analysis of managed assets to intuitive data management and seamless information integration, enhancing operational efficiency and service quality through automation.<\/p>\n<p><span style=\"text-decoration: underline;\"><strong>Kudan PRISM - Product Demonstration Video (Youtube)<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" title=\"Kudan PRISM Demo : Photorealistic Digital Twin of a Warehouse\" width=\"1140\" height=\"641\" src=\"https:\/\/www.youtube.com\/embed\/sQI3nyUZ0pY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<h3><strong>Key Features<\/strong><\/h3>\n<p><strong>Rapid generation and smooth operation of photo-realistic 3D<\/strong><br \/>\nLeveraging the latest 3D Gaussian Splatting and spatial intelligence technologies, Kudan PRISM delivers lighter and smoother rendering than point clouds, while maintaining high visual fidelity. It runs smoothly even on standard laptops and tablets, faithfully recreating real-world site conditions.<\/p>\n<p><strong>Adaptable to diverse scanning methods for any site environment<\/strong><br \/>\nThrough collaboration with XGRIDS, data can be captured using handheld devices, drones, or robot-mounted systems, tailored to the specific environment. Additionally, it eliminates the need for fixed-point shooting, thereby enabling high-precision 3D modeling of large areas in a short time.<\/p>\n<p><strong>Seamless scalability as sites increase<\/strong><br \/>\nEasily scale from a single-site pilot to multi-site or company-wide deployment. Access the same information across PCs, tablets, and smartphones, enabling real-time decision-making between on-site teams and headquarters.<\/p>\n<p><strong>\u201cConsolidate information into 3D\u201d to eliminate search time<\/strong><br \/>\nManage asset attributes, metadata, drawings, SOPs, and inspection history all within the 3D environment. Whether on-site or remote, instantly access the information you need to support quick searches and operational decisions.<\/p>\n<p><strong>AI-driven automatic identification to improve efficiency and accuracy<\/strong><br \/>\nAutomatically identifies asset types, as well as signs of deterioration or anomalies. Reduces workload while supporting prioritization of repairs and improving overall quality.<\/p>\n<p><strong>Smooth and centralized information sharing<\/strong><br \/>\nAttach work instructions, SOPs, photos, notes, and conversation threads directly to equipment rendered in the 3D space. Centralizes team communication to ensure smooth collaboration.<\/p>\n<p><strong>Seamless integration with existing systems<\/strong><br \/>\nIntegrates with existing systems (CAFM, SCADA, etc.) and BIM\/CIM platforms to optimize workflows end-to-end.<\/p>\n<p><strong>Flexible deployment options with robust security<\/strong><br \/>\nAvailable as SaaS, private cloud, or on-premises deployment. Fine-grained viewing and editing permissions can be configured to ensure secure operations in compliance with corporate governance standards.<\/p>\n<p><span style=\"text-decoration: underline;\"><strong>Kudan PRISM Demo - AI Powered Automatic Asset Detection<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" title=\"Kudan PRISM Demo  AI Powered Automatic Asset Detection\" width=\"1140\" height=\"641\" src=\"https:\/\/www.youtube.com\/embed\/cxXdI380YeU?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p><span style=\"text-decoration: underline;\"><strong>Kudan PRISM Demo - Tunnel Maintenance &amp; Inspection<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" title=\"Kudan PRISM Demo: Tunnel Maintenance &amp; Inspection\" width=\"1140\" height=\"641\" src=\"https:\/\/www.youtube.com\/embed\/c7WquGDBarE?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<h2><strong>2. Expected Benefits<\/strong><\/h2>\n<p><strong>Quick, Cost-Effective, and Frequent Insight into On-Site Conditions<\/strong><br \/>\nGenerate lightweight, photo-realistic 3D models in a short time. Keep data continuously updated through differential updates, reducing the need for repeated on-site checks or revisits.<\/p>\n<p><strong>Cost Reduction through Operational Efficiency<\/strong><br \/>\nBy making the 3D photo-realistic model the \u201csingle, trusted source of truth\u201d within the organization, it reduces the time and effort spent searching, verifying, and entering information - cutting labor, travel, and rework costs.<\/p>\n<p><strong>Improved Quality and Uptime<\/strong><br \/>\nAI and standardized procedures ensure consistent inspection quality. Detect and address failures early, shortening downtime and contributing to stable equipment operation.<\/p>\n<p><strong>Visualization and Improvement of Risks and ESG Performance<\/strong><br \/>\nIdentify risks to critical equipment and simulate potential impacts in 3D during disasters, while contributing to CO\u2082 reduction by minimizing business trips and routine patrols.<\/p>\n<p><strong>Addressing Labor Shortages through Knowledge Transfer<\/strong><br \/>\nCapture the expertise of veteran staff as annotations and templates within the 3D environment, enabling faster onboarding of new personnel and ensuring consistent quality across multiple sites.<\/p>\n<h2><b>3. Target Use Cases<\/b><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-2080 size-large\" src=\"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2025\/08\/PRISM_Use_Cases-1024x607.png\" alt=\"\" width=\"1024\" height=\"607\" srcset=\"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2025\/08\/PRISM_Use_Cases-1024x607.png 1024w, https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2025\/08\/PRISM_Use_Cases-300x178.png 300w, https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2025\/08\/PRISM_Use_Cases-768x455.png 768w, https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2025\/08\/PRISM_Use_Cases-1536x910.png 1536w, https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2025\/08\/PRISM_Use_Cases-2048x1213.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<h4><strong>A. Asset Management: Centralized management of facility and equipment asset information to improve operational efficiency<\/strong><\/h4>\n<p><span style=\"text-decoration: underline;\"><strong>Challenge:<\/strong><\/span><br \/>\nWhen managing multiple sites and diverse types of equipment assets using paper or Excel, there is a risk of delays in updating the latest information and sharing it among team members.<\/p>\n<p><span style=\"text-decoration: underline;\"><strong>Kudan PRISM Solution Examples:<\/strong><\/span><br \/>\nLink asset location, model type, and maintenance history to a photo-realistic 3D model with automatic identification and management<br \/>\nInstantly check the latest on-site conditions from a PC or tablet<br \/>\nOptimize maintenance planning and parts procurement, reducing unnecessary site visits<\/p>\n<p><span style=\"text-decoration: underline;\"><strong>Example Impact:<\/strong><\/span><br \/>\nReduce maintenance workload by 30 - 50% and enable same-day updates to asset information.<\/p>\n<h4><strong>B. Infrastructure Inspection &amp; Maintenance: High-precision automatic detection and visualization of structural deterioration, and differential comparison for progression tracking<\/strong><\/h4>\n<p><span style=\"text-decoration: underline;\"><strong>Challenge:<\/strong><\/span><br \/>\nInspection work in large-scale and hazardous environments is costly and high-risk, with deterioration monitoring relying heavily on human visual checks.<\/p>\n<p><span style=\"text-decoration: underline;\"><strong>Kudan PRISM Solution Examples:<\/strong><\/span><br \/>\nScan large areas in a short time using drones or autonomous robots<br \/>\nAutomatically detect cracks, rust, and paint peeling via AI analysis<br \/>\nVisualize deterioration progression through 3D differential comparison with past data<\/p>\n<p><span style=\"text-decoration: underline;\"><strong>Example Impact:<\/strong><\/span><br \/>\nReduce on-site inspection time by 80% and improve anomaly detection accuracy by 20 - 30% compared to human inspection.<\/p>\n<h4><strong>C. Urban Planning, Disaster Management, and Traffic Control<\/strong><\/h4>\n<p><span style=\"text-decoration: underline;\"><strong>Challenge:<\/strong><\/span><br \/>\nDelays in interdepartmental information sharing and decision-making lead to prolonged planning and disaster response times.<\/p>\n<p><span style=\"text-decoration: underline;\"><strong>Kudan PRISM Solution Examples:<\/strong><\/span><br \/>\nCreate a photo-realistic 3D model of entire districts, integrating road, building, and infrastructure data<br \/>\nConduct disaster simulations, evacuation route design, and traffic flow analysis<br \/>\nEnable online sharing and real-time updates between departments<\/p>\n<p><span style=\"text-decoration: underline;\"><strong>Example Impact:<\/strong><\/span><br \/>\nShorten planning periods from several weeks to a few days and enable immediate updates to response plans when a disaster happens.<\/p>\n<h4><strong>D. Robotics Development: Simulation environments for AMRs and industrial robots<\/strong><\/h4>\n<p><span style=\"text-decoration: underline;\"><strong>Challenge:<\/strong><\/span><br \/>\nDeveloping navigation in real environments imposes significant constraints, and real-world testing requires extensive man-hours.<\/p>\n<p><span style=\"text-decoration: underline;\"><strong>Kudan PRISM Solution Examples:<\/strong><\/span><br \/>\nQuickly convert actual factories and warehouses into photo-realistic 3D models to verify path planning and obstacle avoidance algorithms in a virtual environment<br \/>\nEvaluate operational stability and efficiency in a realistic virtual environment before deploying in the field<\/p>\n<p><span style=\"text-decoration: underline;\"><strong>Example Impact:<\/strong><\/span><br \/>\nShorten development time by 30 - 50% and significantly reduce defect occurrence before deployment.<\/p>\n<p>(*Note) Impact figures are based on Kudan\u2019s case studies and testing. Results may vary depending on deployment scale, target assets, and functions used.<\/p>\n<h2><strong>4. Pricing Model and Deployment Options<\/strong><\/h2>\n<p>Kudan PRISM is offered under the following pricing model:<\/p>\n<ul>\n<li>Initial Setup Fee<\/li>\n<li>Basic Usage Fee: Subscription (SaaS)<\/li>\n<li>Optional Add-ons: AI Analysis Pack, API\/System Integration Pack, Additional User Pack<\/li>\n<\/ul>\n<p>We also offer technology provision through licensing agreements.<\/p>\n<p>Deployment options can be selected based on the customer\u2019s operational environment:<\/p>\n<ul>\n<li>SaaS (Kudan cloud infrastructure)<\/li>\n<li>Private Cloud (customer\u2019s own cloud infrastructure)<\/li>\n<li>On-Premises (customer\u2019s own IT equipment)<\/li>\n<\/ul>\n<p><strong>Please use the form below to request materials or obtain detailed pricing information:<\/strong><br \/>\n<a href=\"https:\/\/forms.cloud.microsoft\/Pages\/ResponsePage.aspx?id=6-TqVUjw7kexDo2s7RqKA0jNcHbX-SZNiY7vcPgi131UNUYxVko3S0NaM1k3MTU2TkZaTjBMNUxCNy4u\" target=\"_blank\" rel=\"noopener\"><strong>Kudan PRISM Inquiry Form<\/strong><\/a><\/p>\n<p><strong>About Kudan<\/strong><br \/>\nKudan leads the advancement of next-generation solutions such as robotics, autonomous driving, and digital twins through research and development, as well as the provision of spatial perception algorithms that connect the physical and digital worlds. Originating from the United Kingdom, Kudan is a global company that, with innovative artificial perception technology (the \u201ceyes\u201d of machines) at its core. By extending the application of artificial intelligence from the digital space into the physical space, Kudan aims to fundamentally solve social issues and dramatically improve productivity by promoting automation, unmanned operation, and remote accessibility across all industries.<br \/>\nFor more information, please refer to Kudan\u2019s website at <a href=\"https:\/\/webroad-seisaku.com\/fujiko-test\/\" target=\"_blank\" rel=\"noopener\">https:\/\/webroad-seisaku.com\/fujiko-test\/<\/a>.<\/p>\n<p>\u25a0Company Details<br \/>\nName: Kudan Inc.<br \/>\nSecurities Code: 4425 (TSE Growth)<br \/>\nRepresentative: CEO Daiu Ko<\/p>\n<p>\u25a0Contact Information<br \/>\nFor more details, please contact us from <a href=\"https:\/\/webroad-seisaku.com\/fujiko-test\/contact\" target=\"_blank\" rel=\"noopener\">here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Kudan Inc. (hereinafter \u201cKudan\u201d) is pleased to announce the official launch of its next-generation digital twin solution, Kudan PRISM (Photo-Realistic Integrated Spatial Management). This solution is an evolution of the company\u2019s existing DAMS (Digital Asset Management Solution), and combines cutting-edge 3D Gaussian Splatting technology with Kudan\u2019s proprietary Spatial Intelligence capabilities. It delivers an entirely new [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2078,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"sns_share_botton_hide":"","vkExUnit_sns_title":"","_vk_print_noindex":"","sitemap_hide":"","_veu_custom_css":"","veu_display_promotion_alert":"","vkexunit_cta_each_option":"","_lightning_design_setting":[],"header_top_description":"","footnotes":""},"categories":[1],"tags":[553,562,556,565,571,558,578,576,579,374,555,503,377,567,375,557,572,546,550,551,563,573,513,552,574,566,564,570,559,575,577,560,554,569,561,568],"class_list":["post-2077","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press","tag-3d-gaussian-splatting","tag-aging-infrastructure","tag-ai-automated-analysis","tag-ai-automatic-identification","tag-amr-simulation","tag-asset-management","tag-bim-integration","tag-cafm-integration","tag-cim-integration","tag-dams","tag-digital-asset-management","tag-digital-transformation","tag-digital-twin","tag-disaster-management","tag-dx","tag-facility-management","tag-industrial-robots","tag-infrastructure-inspection","tag-kudan-inc","tag-kudan-prism","tag-lightweight-3d-model","tag-on-premises","tag-operational-efficiency","tag-photo-realistic-3d","tag-private-cloud","tag-quality-improvement","tag-real-time-data-sharing","tag-robotics-development","tag-robotics-simulation","tag-saas","tag-scada-integration","tag-smart-city","tag-spatial-intelligence","tag-traffic-control","tag-urban-infrastructure","tag-urban-planning"],"veu_head_title_object":{"title":"","add_site_title":""},"_links":{"self":[{"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts\/2077","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/comments?post=2077"}],"version-history":[{"count":16,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts\/2077\/revisions"}],"predecessor-version":[{"id":2099,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts\/2077\/revisions\/2099"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/media\/2078"}],"wp:attachment":[{"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/media?parent=2077"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/categories?post=2077"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/tags?post=2077"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}