{"id":3435,"date":"2024-04-25T15:00:47","date_gmt":"2024-04-25T15:00:47","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2024\/04\/25\/into-the-omniverse-unlocking-the-future-of-manufacturing-with-openusd-on-siemens-teamcenter-x\/"},"modified":"2024-04-25T15:00:47","modified_gmt":"2024-04-25T15:00:47","slug":"into-the-omniverse-unlocking-the-future-of-manufacturing-with-openusd-on-siemens-teamcenter-x","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2024\/04\/25\/into-the-omniverse-unlocking-the-future-of-manufacturing-with-openusd-on-siemens-teamcenter-x\/","title":{"rendered":"Into the Omniverse: Unlocking the Future of Manufacturing With OpenUSD on Siemens Teamcenter X"},"content":{"rendered":"<div>\n\t\t<span class=\"bsf-rt-reading-time\"><span class=\"bsf-rt-display-label\"><\/span> <span class=\"bsf-rt-display-time\"><\/span> <span class=\"bsf-rt-display-postfix\"><\/span><\/span><\/p>\n<p><i>Editor\u2019s note: This post is part of <\/i><a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/news\/\"><i>Into the Omniverse<\/i><\/a><i>, a series focused on how artists, developers and enterprises can transform their workflows using the latest advances in <\/i><a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/usd\/\"><i>OpenUSD<\/i><\/a><i> and <\/i><a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/usd\/\"><i>NVIDIA Omniverse<\/i><\/a><i>.<\/i><\/p>\n<p><a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/usd\/\">Universal Scene Description<\/a>, aka OpenUSD, is elevating the manufacturing game. Siemens, a leader in industrial technology, <a href=\"https:\/\/www.nvidia.com\/en-us\/industries\/industrial-sector\/siemens\/\">has embraced OpenUSD<\/a> as a cornerstone of its digital transformation journey, using it to help bridge the gap between physical and virtual worlds.<\/p>\n<p>Siemens is adding support for <a href=\"https:\/\/blogs.nvidia.com\/blog\/siemens-immersive-visualization-generative-ai\/\">OpenUSD in its Siemens Xcelerator<\/a> platform applications, starting with <a href=\"https:\/\/plm.sw.siemens.com\/en-US\/teamcenter\/teamcenter-x-cloud-plm\/\"><span>Teamcenter X software<\/span><\/a>.<\/p>\n<p>The integration empowers manufacturers to create photorealistic, robust <a href=\"https:\/\/blogs.nvidia.com\/blog\/what-is-a-digital-twin\/\">digital twins<\/a> that mirror real-world counterparts with unprecedented fidelity and efficiency. This allows for optimized resource utilization, minimized waste and enhanced product quality through comprehensive simulation and analysis \u2014 all of which align with sustainability and quality objectives.<\/p>\n<p>For a company such as Siemens \u2014 one whose software touches all parts of the manufacturing cycle \u2014 digitalization can <span>mean helping customers save time and costs<\/span>, streamline workflows and reduce risk of manufacturing defects.<\/p>\n<p>Ian Fisher, a member of <a href=\"https:\/\/www.sw.siemens.com\/en-US\/\" target=\"_blank\" rel=\"noopener\">Siemens Digital Industries Software<\/a> team, is no stranger to the impact of embracing digital transformation \u2014 especially one powered by OpenUSD and <a href=\"https:\/\/www.nvidia.com\/en-us\/glossary\/generative-ai\/#:~:text=Generative%20AI%20enables%20users%20to,on%20a%20variety%20of%20inputs.\">generative AI<\/a>.<\/p>\n<p>\u201cWe are an industrial company where data is king,\u201d he said. \u201cOpenUSD comes in from the media side of the world, and we are looking to bring its openness and flexibility into the industrial world.\u201d<\/p>\n<p>Enterprises of all sizes depend on Siemens\u2019 Teamcenter software, part of the Siemens Xcelerator platform, to develop and deliver products at scale. By connecting <a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/\">NVIDIA Omniverse<\/a> \u2014 a platform of APIs and services based on OpenUSD \u2014 with Teamcenter X, Siemens\u2019 cloud-based product lifecycle management software, engineering teams can make their physics-based digital twins more photorealistic and immersive, improving accuracy and minimizing waste and errors within workflows.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-71329 aligncenter\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2024\/04\/ss060_comp_v01-ezgif.com-video-to-gif-converter.gif\" alt=\"\" width=\"600\" height=\"360\"><\/p>\n<p>Siemens\u2019 adoption of OpenUSD means that companies like <a href=\"https:\/\/blogs.nvidia.com\/blog\/siemens-immersive-visualization-generative-ai\/\">HD Hyundai<\/a>, a leader in sustainable ship manufacturing, can consolidate and visualize complex engineering projects directly within Teamcenter X. Find out more in the demo:<\/p>\n<\/p>\n<p>OpenUSD is touching other parts of Siemens as well. Siemens produces inverters, drive controllers and motors for more than 30,000 customers worldwide. Its lead electronics plant, <a href=\"https:\/\/assets.new.siemens.com\/siemens\/assets\/api\/uuid:50b2232d-7c93-4684-99af-2d532a52de9b\/4681-SIE-BRO-GWE-Fly-A4-One-Pager-3_original.pdf\" target=\"_blank\" rel=\"noopener\">GWE<\/a>, in Erlangen, Germany, has been developing use cases from AI-enabled computer vision for <a href=\"https:\/\/blogs.nvidia.com\/blog\/siemens-omniverse-replicator-aws-synthetic-data-generation\/\">defect detection<\/a> to training pick-and-place robots.<\/p>\n<p>One of their main challenges has been acquiring data to train the AI models that fuel these use cases. By building custom<a href=\"https:\/\/blogs.nvidia.com\/blog\/what-is-synthetic-data\/\"> synthetic data generation<\/a> pipelines using Omniverse Replicator, powered by OpenUSD, the engineers were able to generate large sets of diverse training data by varying many parameters including color, texture, background, lighting and more \u2014 allowing them to not only bootstrap but also quickly iterate on their AI models.<\/p>\n<p>Committed to a future of widespread OpenUSD integration, Siemens was one of <a href=\"https:\/\/aousd.org\/news\/alliance-for-openusd-introduces-new-working-groups-and-liaison\/\" target=\"_blank\" rel=\"noopener\">eight new general members<\/a> that joined the <a href=\"https:\/\/aousd.org\/\" target=\"_blank\" rel=\"noopener\">Alliance for OpenUSD (AOUSD)<\/a> last month, an organization dedicated to interoperability of 3D content through standardization.<\/p>\n<p>Watch Fisher and other special guests discuss the impact of OpenUSD on industrial digitization workflows in this livestream replay:<\/p>\n<\/p>\n<h2><b>Get Plugged Into the World of OpenUSD<\/b><\/h2>\n<p>Siemens and OpenUSD took center stage this week at Hannover Messe, the world\u2019s leading industrial trade fair. Siemens CEO Roland Busch and Rev Lebaredian, vice president of Omniverse and simulation technology at NVIDIA, <a href=\"https:\/\/www.linkedin.com\/events\/7182007244371165186\/about\/\">shared their vision<\/a> on the potential of OpenUSD for customers in all industries.<\/p>\n<p>For more on how Siemens is using OpenUSD to build and test complex AI-based automation systems completely virtually, watch the replay of the GTC session, \u201c<a href=\"https:\/\/www.nvidia.com\/en-us\/on-demand\/session\/gtc24-s62338\/?playlistId=playList-23a9dd33-3687-4ac8-8210-e21a79247079\">Virtual Commissioning of AI Vision Systems With OpenUSD<\/a>.\u201d All other sessions from GTC\u2019s <a href=\"https:\/\/www.nvidia.com\/en-us\/on-demand\/playlist\/playList-68e1b334-b6b3-4195-b254-f1224f7260ea\/\">OpenUSD Day<\/a> are available for viewing on demand.<\/p>\n<blockquote class=\"twitter-tweet\" data-width=\"500\" data-dnt=\"true\">\n<p lang=\"en\" dir=\"ltr\">Watch <a href=\"https:\/\/twitter.com\/BuschRo?ref_src=twsrc%5Etfw\">@BuschRo<\/a> and <a href=\"https:\/\/twitter.com\/RevLebaredian?ref_src=twsrc%5Etfw\">@RevLebaredian<\/a> discuss how <a href=\"https:\/\/twitter.com\/hashtag\/digitaltwins?src=hash&amp;ref_src=twsrc%5Etfw\">#digitaltwins<\/a>, powered by <a href=\"https:\/\/twitter.com\/hashtag\/AI?src=hash&amp;ref_src=twsrc%5Etfw\">#AI<\/a> and <a href=\"https:\/\/twitter.com\/hashtag\/OpenUSD?src=hash&amp;ref_src=twsrc%5Etfw\">#OpenUSD<\/a>, can drive productivity across all industries at <a href=\"https:\/\/twitter.com\/hashtag\/HM24?src=hash&amp;ref_src=twsrc%5Etfw\">#HM24<\/a>.<\/p>\n<p>\u2014 NVIDIA Design &amp; Visualization (@NVIDIADesign) <a href=\"https:\/\/twitter.com\/NVIDIADesign\/status\/1782434184474042615?ref_src=twsrc%5Etfw\">April 22, 2024<\/a><\/p>\n<\/blockquote>\n<p><i>Get started with NVIDIA Omniverse by downloading the standard license <\/i><a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/download\/\"><i>free<\/i><\/a><i>, access <\/i><a href=\"https:\/\/developer.nvidia.com\/usd\"><i>OpenUSD<\/i><\/a><i> resources and learn how <\/i><a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/enterprise\/\"><i>Omniverse Enterprise<\/i><i> can connect team<\/i><\/a><i>s. Follow Omniverse on <\/i><a href=\"https:\/\/www.instagram.com\/nvidiaomniverse\/\"><i>Instagram<\/i><\/a><i>, <\/i><a href=\"https:\/\/medium.com\/@nvidiaomniverse\"><i>Medium<\/i><\/a><i> and <\/i><a href=\"https:\/\/twitter.com\/nvidiaomniverse\"><i>X<\/i><\/a><i>. For more, join the <\/i><a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/community\/\"><i>Omniverse community<\/i><\/a><i> on the <\/i><a href=\"https:\/\/forums.developer.nvidia.com\/c\/omniverse\/300\"><i>forums<\/i><\/a><i>, <\/i><a href=\"https:\/\/discord.com\/invite\/XWQNJDNuaC\"><i>Discord server<\/i><\/a><i>, <\/i><a href=\"https:\/\/www.twitch.tv\/nvidiaomniverse\"><i>Twitch<\/i><\/a><i> and <\/i><a href=\"https:\/\/www.youtube.com\/channel\/UCSKUoczbGAcMld7HjpCR8OA\"><i>YouTube<\/i><\/a><i> channels.\u00a0<\/i><\/p>\n<p><i>Featured image courtesy of Siemens, HD Hyundai.<\/i><\/p>\n<p>\t\t<!-- .entry-footer --><\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/blogs.nvidia.com\/blog\/siemens-unlocks-future-of-manufacturing-with-openusd\/<\/p>\n","protected":false},"author":0,"featured_media":3436,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3435"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=3435"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3435\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/3436"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=3435"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=3435"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=3435"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}