[ad_1]
Join with high gaming leaders in Los Angeles at GamesBeat Summit 2023 this Could 22-23. Register right here.
Nvidia introduced at Computex that electronics producers worldwide are utilizing its Omniverse simulation and collaboration platform to enhance their factories.
These industrial digitalization efforts are utilizing a brand new, complete reference workflow that mixes NVIDIA applied sciences for generative AI, 3D collaboration, simulation and autonomous machines, mentioned Deepu Talla, vice chairman of embedded and edge computing at Nvidia, in a press briefing.
“The case for industrial digitalization could be very clear and it’s right here and it’s actual,” Talla mentioned.
Supported by an expansive associate community, the workflow for Omniverse and the bigger Nvidia ecosystem helps producers plan, construct, function and optimize their factories, Talla mentioned.
Occasion
GamesBeat Summit 2023
Be a part of the GamesBeat neighborhood for our digital day and on-demand content material! You’ll hear from the brightest minds throughout the gaming business to share their updates on the most recent developments.
Register Right here
The ecosystem contains Nvidia Omniverse, which is sort of a metaverse for engineers and connects high computer-aided design apps, in addition to APIs and cutting-edge frameworks for generative AI. It additionally contains the Nvidia Isaac Sim utility for simulating and testing robots; and the Nvidia Metropolis imaginative and prescient AI framework, which makes use of clever video analytics to automate cities. Metropolis is now enabled for automated optical inspection.
Every of those industries are humongous, multi-trillion-dollar industries — from automotive to healthcare, manufacturing, retail and telco — and all of them are racing to digitalization,” Talla mentioned. “The promise of simulation has at all times been clear. It’s sooner, cheaper and safer to do simulation. However the hcallenge has been whether or not you do it with the precise constancy.”
In his keynote tackle at Computex, Nvidia CEO Jensen Huang showcased a demo of a wholly digitalized good manufacturing unit — an business first for electronics makers.
“The world’s largest industries make bodily issues. Constructing them digitally first can save huge prices,” mentioned Huang. “Nvidia makes it simple for electronics makers to construct and function digital factories, digitalize their manufacturing and inspection workflows, and significantly enhance high quality and security whereas decreasing expensive last-minute surprises and delays.”
World’s main electronics makers embrace manufacturing unit digitalization
Nvidia’s Metropolis for Factories is getting extensive adoption.
The brand new reference workflow is being utilized by Foxconn Industrial Web, Innodisk, Pegatron, Quanta and Wistron, as they work to optimize their workcell and meeting line operations whereas reducing manufacturing prices.
Foxconn Industrial Web, a service arm of the world’s largest expertise producer, is working with Nvidia Metropolis ecosystem companions to automate vital parts of its circuit-board quality-assurance inspection factors.
“Nvidia’s energy in AI and its robust ecosystem of utility companions are offering Foxconn Industrial Web with a path to vital operational effectivity positive aspects,” mentioned Tai-Yu Chou, CTO at Foxconn Industrial Web, in a press release. “The mix of Nvidia Metropolis for factories and Isaac Sim for robotics helps us understand industrial automation targets sooner than ever imagined.”
Innodisk is deploying Nvidia Metropolis to automate optical inspection processes on its manufacturing strains, saving value and enhancing manufacturing effectivity.
Pegatron, a number one electronics producer and repair supplier, is utilizing the reference workflow to digitalize its circuit-board factories with simulation, robotics and automatic manufacturing inspection.
“Nvidia Omniverse, Isaac Sim and Metropolis give us the power to perform AI coaching, improve manufacturing unit workflows and run quite a few simulations within the digital world earlier than we decide to an concept within the bodily world,” mentioned Andrew Hsiao, affiliate vice chairman of the software program R&D division at Pegatron, in a press release. “Digitalizing our complete manufacturing unit allows us to simulate the robotics and automation pipeline from finish to finish, and lets us attempt issues out in a simulated atmosphere, which saves time and significantly reduces prices.”
Quanta, a significant producer of laptops and different digital {hardware}, is utilizing AI robots from its subsidiary Techman Robotic to examine the standard of manufactured merchandise. Techman is leveraging Isaac Sim to simulate, take a look at and optimize its state-of-the-art collaborative robots whereas utilizing Nvidia AI and GPUs for inference on the robots themselves.
Wistron, one of many world’s largest suppliers of knowledge and communications merchandise, is tapping Nvidia Omniverse to construct digital twins of its automated receiving strains and operations buildings utilizing inputs from Autodesk AutoCAD, Autodesk Revit and FlexSim.
Wistron additionally makes use of Nvidia Metropolis to automate parts of its circuit-board optical inspection utilizing AI-enabled pc imaginative and prescient.
Industrial ecosystem utilizing Nvidia tech
Nvidia is deploying Isaac AMR (autonomous cell robots).
Nvidia is working with a number of manufacturing-tools and repair suppliers to construct a full-stack, single structure with every at each workflow stage.
On the methods stage, Nvidia IGX Orin supplies an all-in-one edge AI platform, combining industrial-grade {hardware} with enterprise-level software program and assist. IGX meets the distinctive sturdiness and low-power-consumption necessities of edge computing, whereas delivering the excessive efficiency wanted for creating and operating AI purposes.
Producer companions Adlink, Advantech, Aetina, Devoted Computing, Onyx, Prodrive Applied sciences and Yuan are creating IGX-powered methods to serve the commercial and medical markets. These methods enable the advantages of digitalization to be realized throughout bodily manufacturing.
On the platform stage, Omniverse connects the world’s main 3D, simulation and generative AI suppliers. The open improvement platform, for instance, lets groups construct interoperability between their favourite purposes — corresponding to these from Adobe, Autodesk and Siemens.
Omniverse demo at Computex
A demo on the Computex keynote showcased Omniverse related to numerous AI assistants, corresponding to ChatGPT and Blender GPT, to simplify 3D workflows and Python-application improvement. Nvidia Omniverse Cloud, a platform-as-a-service now accessible on Microsoft Azure, provides enterprise prospects entry to the full-stack suite of Omniverse software program purposes, and Nvidia OVX infrastructure, with the size and safety of Azure cloud companies.
And on the utility stage, Isaac Sim permits firms to construct and optimally deploy AI-based robots. Producers can work with industrial automation firm Prepared Robotics to program their robotic duties in simulation earlier than deploying in the actual world.
Simulation expertise companions like SoftServe and FS Studio shorten improvement timelines for purchasers by constructing digital twin-based simulations.
“Even after the bodily factor is constructed, it could actually always be up to date and modified in simulation earlier than it’s in the actual world,” Talla mentioned. “Nvidia Omniverse is a platform that’s basically constructed for industrial metaverse purposes.”
Additionally on the utility stage, Nvidia Metropolis features a assortment of factory-automation AI workflows that allow industrial answer suppliers and producers to develop, deploy and handle personalized quality-control options that save value and enhance manufacturing throughput. A big associate ecosystem — together with Adlink, Aetina, Deloitte, Quantiphi and Siemens — helps to deliver these options to market.
“Omniverse platform instruments are used to create the digital model of a manufacturing unit. So as to deploy any industrial manufacturing unit, you want Omniverse on one aspect, and then you definitely want the runtime, the AI mannequin run time with Metropolis,” Talla mentioned.
WPP partnership
WPP is utilizing Omniverse to construct advertisements remotely.
In different information, Nvidia and digital promoting large WPP introduced they’re creating a content material engine that harnesses Nvidia Omniverse and AI to allow inventive groups to supply high-quality business content material sooner, extra effectively and at scale whereas staying absolutely aligned with a consumer’s model.
The brand new engine connects an ecosystem of 3D design, manufacturing and artistic provide chain instruments, together with these from Adobe and Getty Photographs, letting WPP’s artists and designers combine 3D content material creation with generative AI. This allows their purchasers to achieve shoppers in extremely personalised and fascinating methods, whereas preserving the standard, accuracy and constancy of their firm’s model identification, merchandise and logos.
Huang unveiled the engine in a demo throughout his Computex keynote tackle, illustrating how purchasers can work with groups at WPP, the world’s largest advertising companies group, to make massive volumes of brand name promoting content material corresponding to photos or movies and experiences like 3D product configurators extra tailor-made and immersive.
“The world’s industries, together with the $700 billion digital promoting business, are racing to understand the advantages of AI,” Huang mentioned. “With Omniverse Cloud and generative AI instruments, “WPP is giving manufacturers the power to construct and deploy product experiences and compelling content material at a stage of realism and scale by no means attainable earlier than.”
“Generative AI is altering the world of selling at unimaginable velocity,” mentioned Mark Learn, CEO of WPP, in a press release. “Our partnership with Nvidia provides WPP a singular aggressive benefit by way of an AI answer that’s accessible to purchasers nowhere else available in the market in the present day. This new expertise will remodel the way in which that manufacturers create content material for business use, and cements WPP’s place because the business chief within the inventive utility of AI for the world’s high manufacturers.”
Engine for creativity
Nvidia Isaac autonomous cell robotic can do inspections.
The brand new content material engine has at its basis Omniverse Cloud — a platform for connecting 3D instruments, and creating and working industrial digitalization purposes. This enables WPP to seamlessly join its provide chain of product-design knowledge from software program corresponding to Adobe’s Substance 3D instruments for 3D and immersive content material creation, plus computer-aided design instruments to create brand-accurate, photoreal digital twins of consumer merchandise.
WPP makes use of responsibly educated generative AI instruments and content material from companions corresponding to Adobe and Getty Photographs so its designers can create diversified, high-fidelity photos from textual content prompts and produce them into scenes. This contains Adobe Firefly, a household of inventive generative AI fashions, and unique visible content material from Getty Photographs created utilizing NVIDIA Picasso, a foundry for customized generative AI fashions for visible design, the businesses mentioned.
With the ultimate scenes, inventive groups can render massive volumes of brand-accurate, 2D photos and movies for traditional promoting, or publish interactive 3D product configurations to NVIDIA Graphics Supply Community, a worldwide, graphics streaming community, for shoppers to expertise on any net machine.
The brand new content material engine will quickly be accessible solely to WPP’s purchasers around the globe.
Isaac cell robots
Nvidia Isaac AMR is shifting into early entry with prospects.
Nvidia additionally introduced that it has introduced superior autonomy to cell robots utilizing the Isaac robotics platform.
Isaac autonomous cell robotic (AMR) is shifting into early entry with prospects, and Nova Orin-based reference robots have gotten accessible for analysis.
Cell robotic shipments are surging to satisfy the rising calls for of industries looking for operational efficiencies, NVIDIA is launching a brand new platform to allow the following technology of autonomous cell robotic (AMR) fleets, Nvidia mentioned.
Isaac AMR brings superior mapping, autonomy and simulation to cell robots and can quickly be accessible for early prospects, Huang introduced throughout his keynote tackle on the Computex expertise convention in Taipei.
Isaac AMR is a platform to simulate, validate, deploy, optimize and handle fleets of autonomous cell robots. It contains edge-to-cloud software program companies, computing and a set of reference sensors and robotic {hardware} to speed up the event and deployment of AMRs, decreasing prices and time to market.
Cell robotic shipments are anticipated to climb from 251,000 items in 2023 to 1.6 million by 2028, with income forecast to leap from $12.6 billion to $64.5 billion within the interval, in line with ABI Analysis.
Regardless of the explosive adoption of robots, the intralogistics business faces challenges. Historically, software program purposes for autonomous navigation are sometimes coded from scratch for every robotic, making rolling out autonomy throughout totally different robots extra advanced.
Additionally, warehouses, factories and achievement facilities are huge, often operating one million squarefeet or extra, making them exhausting to map for robots and hold up to date. And integrating AMRs into current workflows, fleet administration and warehouse administration methods might be sophisticated.
For these working in superior robotics and looking for emigrate conventional forklifts or automated guided automobiles to totally autonomous cell robots, Isaac AMR supplies the blueprint to speed up the migration to full autonomy, decreasing prices and rushing the deployment of AMRs.
Isaac AMR is constructed on the foundations of the Nvidia Nova Orin reference structure. Nova Orin is the brains and eyes of Isaac AMR. It integrates a number of sensors together with stereo cameras, fisheye cameras, 2D and 3D lidars with the highly effective Nvidia Jetson AGX Orin system-on-module. The reference robotic {hardware} comes with Nova Orin pre-integrated, making it simple for builders to guage Isaac AMR in their very own environments.
Quanta’s Techman Robotic selects Isaac Sim for inspections
Taiwan’s Quanta is utilizing cobots to speed up robotics-based inspection by 20%.
Nvidia mentioned Taiwan’s robotic agency Techman Robotic chosen Isaac Sim to optimize automated optical inspections.
The agency mentioned it accelerated robotics-based inspection by 20% to enhance electronics manufacturing product high quality with Isaac Sim on Omniverse.
Huang mentioned that electronics producer Quanta is utilizing AI-enabled robots to examine the standard of its merchandise. Techman Robotic is utilizing Isaac to develop a customized digital twin utility to enhance inspection on the Taiwan-based electronics supplier’s manufacturing line.
The demo confirmed how Techman makes use of Isaac Sim to optimize the inspection of robots by robots on the manufacturing line. In impact, it’s robots constructing robots.
Automated optical inspection, or AOI, helps producers extra rapidly establish defects and ship high-quality merchandise to their prospects across the globe. The Nvidia Metropolis imaginative and prescient AI framework, now enabled for AOI, can be used to optimize inspection workflows for merchandise starting from vehicles to circuit boards.
Techman developed AOI with its factory-floor robots through the use of Isaac Sim to simulate, take a look at and optimize its collaborative robots, or cobots, whereas utilizing Nvidia AI and GPUs for coaching within the cloud and inference on the robots themselves.
Isaac Sim is constructed on Omniverse — a improvement platform for constructing and working industrial metaverse purposes.
Taiwan’s electronics companies undertake Nvidia Metropolis for Factories
Nvidia’s Metropolis for Factories is getting used to digitalize factories in Taiwan.
Taiwan’s electronics companies are additionally shopping for into Nvidia Metropolis for Factories.
The $46 trillion world electronics manufacturing business spans greater than 10 million factories worldwide, the place a lot is at stake in producing defect-free merchandise. And greater than 50 main electronics producers are adopting Nvidia Metropolis for Factories, Nvidia mentioned.
Foxconn, Pegatron, Quanta, Siemens, Wistron and others are implementing Metropolis for Factories, Huang introduced throughout Computex.
Metropolis for Factories is a group of manufacturing unit automation workflows that permits industrial expertise firms and producers to develop, deploy and handle personalized quality-control methods that supply a aggressive benefit.
Producers globally spend greater than $6 trillion a 12 months in pursuit of high quality management, and so they apply defect detection on almost each product line. However guide inspections can’t sustain with the calls for.
Many producers have automated optical inspection (AOI) methods that may assist, however typically these have excessive false detection charges, requiring labor-intensive and expensive secondary guide inspections in an already difficult labor market, decreasing their worth.
Nvidia Metropolis for Factories now presents an AI platform and workflows for the event of extremely correct inspection purposes corresponding to AOI.
Producer Pegatron, based mostly in Taipei’s Beitou district, is utilizing Nvidia Metropolis for Factories on its manufacturing strains. Pegatron manufactures every little thing from motherboards to smartphones, laptops and recreation consoles.
With a dozen manufacturing services dealing with greater than 300 merchandise and greater than 5,000 elements per day, Pegatron has lots of high quality management to handle throughout its product portfolio. Additional, frequent product updates require ongoing revisions to its AOI methods.
Pegatron is utilizing your entire Metropolis for Factories workflow to assist its printed circuit board (PCB) factories with simulation, robotics and automatic manufacturing inspection. Metropolis for Factories allows the electronics manufacturing large to rapidly replace its defect detection fashions and obtain 99.8% accuracy on its AOI methods, beginning with small datasets.
Pegatron additionally makes use of Nvidia Isaac Sim, a robotic simulator, to program robotic arms in simulation andto mannequin the efficiency of its fleets of cell robots. Tapping into Omniverse Replicator supplies artificial knowledge technology to simulate defects, serving to construct large coaching datasets with area randomization and different methods.
In Metropolis, the Nvidia TAO Toolkit permits Pegatron to entry pretrained fashions and switch studying to construct its extremely correct defect detection fashions from its enhanced datasets. The Nvidia DeepStream software program improvement package can be utilized to develop optimized clever video purposes that deal with a number of video, picture and audio streams. Utilizing DeepStream, Pegatron was capable of obtain a ten instances enchancment in throughput.
Furthermore, Omniverse allows Pegatron to run digital twins of its inspection tools, so it could actually simulate future inspection processes, promising elevated efficiencies to its manufacturing workflow.
GamesBeat’s creed when overlaying the sport business is “the place ardour meets enterprise.” What does this imply? We wish to inform you how the information issues to you — not simply as a decision-maker at a recreation studio, but in addition as a fan of video games. Whether or not you learn our articles, hearken to our podcasts, or watch our movies, GamesBeat will assist you be taught concerning the business and revel in partaking with it. Uncover our Briefings.
[ad_2]