Nvidia Omniverse enlists prime electronics makers to digitalize factories

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.

The ecosystem consists of Nvidia Omniverse, which is sort of a metaverse for engineers and connects prime computer-aided design apps, in addition to APIs and cutting-edge frameworks for generative AI. It additionally consists of the Nvidia Isaac Sim software 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 all the time been clear. It’s quicker, cheaper and safer to do simulation. However the hcallenge has been whether or not you do it with the proper constancy.”

In his keynote handle at Computex, Nvidia CEO Jensen Huang showcased a demo of a wholly digitalized sensible manufacturing facility — 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 vastly enhance high quality and security whereas lowering expensive last-minute surprises and delays.”

World’s main electronics makers embrace manufacturing facility digitalization

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 know-how 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 sturdy ecosystem of software 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 mixture of Nvidia Metropolis for factories and Isaac Sim for robotics helps us notice industrial automation targets quicker than ever imagined.”

Innodisk is deploying Nvidia Metropolis to automate optical inspection processes on its manufacturing traces, saving price and bettering 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 facility 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 facility permits us to simulate the robotics and automation pipeline from finish to finish, and lets us strive issues out in a simulated atmosphere, which saves time and vastly reduces prices.”

Quanta, a serious 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 data and communications merchandise, is tapping Nvidia Omniverse to construct digital twins of its automated receiving traces 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 laptop imaginative and prescient.

Industrial ecosystem utilizing Nvidia tech

Nvidia is working with a number of manufacturing-tools and repair suppliers to construct a full-stack, single structure with every at each workflow degree.

On the techniques degree, Nvidia IGX Orin supplies an all-in-one edge AI platform, combining industrial-grade {hardware} with enterprise-level software program and help. IGX meets the distinctive sturdiness and low-power-consumption necessities of edge computing, whereas delivering the excessive efficiency wanted for growing and working AI purposes.

Producer companions Adlink, Advantech, Aetina, Devoted Computing, Onyx, Prodrive Applied sciences and Yuan are growing IGX-powered techniques to serve the commercial and medical markets. These techniques enable the advantages of digitalization to be realized throughout bodily manufacturing.

On the platform degree, Omniverse connects the world’s main 3D, simulation and generative AI suppliers. The open growth platform, for instance, lets groups construct interoperability between their favourite purposes — equivalent to these from Adobe, Autodesk and Siemens.

Omniverse demo at Computex

A demo on the Computex keynote showcased Omniverse linked to varied AI assistants, equivalent to ChatGPT and Blender GPT, to simplify 3D workflows and Python-application growth. Nvidia Omniverse Cloud, a platform-as-a-service now obtainable on Microsoft Azure, provides enterprise prospects entry to the full-stack suite of Omniverse software program purposes, and Nvidia OVX infrastructure, with the dimensions and safety of Azure cloud providers.

And on the software degree, 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 true world.

Simulation know-how companions like SoftServe and FS Studio shorten growth timelines for patrons by constructing digital twin-based simulations.

“Even after the bodily factor is constructed, it may possibly continually be up to date and modified in simulation earlier than it’s in the true world,” Talla mentioned. “Nvidia Omniverse is a platform that’s essentially constructed for industrial metaverse purposes.”

Additionally on the software degree, 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 price and enhance manufacturing throughput. A big associate ecosystem — together with Adlink, Aetina, Deloitte, Quantiphi and Siemens — helps to carry these options to market.

“Omniverse platform instruments are used to create the digital model of a manufacturing facility. In an effort to deploy any industrial manufacturing facility, you want Omniverse on one aspect, and then you definately want the runtime, the AI mannequin run time with Metropolis,” Talla mentioned.

WPP partnership

In different information, Nvidia and digital promoting large WPP introduced they’re growing a content material engine that harnesses Nvidia Omniverse and AI to allow artistic groups to supply high-quality industrial content material quicker, extra effectively and at scale whereas staying absolutely aligned with a shopper’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 Photos, letting WPP’s artists and designers combine 3D content material creation with generative AI. This allows their shoppers 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 handle, illustrating how shoppers can work with groups at WPP, the world’s largest advertising providers group, to make massive volumes of name promoting content material equivalent to pictures 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 degree of realism and scale by no means potential earlier than.”

“Generative AI is altering the world of promoting at unimaginable velocity,” mentioned Mark Learn, CEO of WPP, in a press release. “Our partnership with Nvidia provides WPP a novel aggressive benefit by means of an AI answer that’s obtainable to shoppers nowhere else out there at present. This new know-how will remodel the way in which that manufacturers create content material for industrial use, and cements WPP’s place because the business chief within the artistic software of AI for the world’s prime manufacturers.”

Engine for creativity

The brand new content material engine has at its basis Omniverse Cloud — a platform for connecting 3D instruments, and growing and working industrial digitalization purposes. This permits WPP to seamlessly join its provide chain of product-design knowledge from software program equivalent 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 shopper merchandise.

WPP makes use of responsibly skilled generative AI instruments and content material from companions equivalent to Adobe and Getty Photos so its designers can create various, high-fidelity pictures from textual content prompts and produce them into scenes. This consists of Adobe Firefly, a household of artistic generative AI fashions, and unique visible content material from Getty Photos created utilizing NVIDIA Picasso, a foundry for customized generative AI fashions for visible design, the businesses mentioned.

With the ultimate scenes, artistic groups can render massive volumes of brand-accurate, 2D pictures 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 gadget.

The brand new content material engine will quickly be obtainable completely to WPP’s shoppers world wide.

Isaac cellular robots

Nvidia additionally introduced that it has introduced superior autonomy to cellular robots utilizing the Isaac robotics platform.

Isaac autonomous cellular robotic (AMR) is shifting into early entry with prospects, and Nova Orin-based reference robots have gotten obtainable for analysis.

Cell robotic shipments are surging to fulfill the rising calls for of industries looking for operational efficiencies, NVIDIA is launching a brand new platform to allow the subsequent era of autonomous cellular robotic (AMR) fleets, Nvidia mentioned.

Isaac AMR brings superior mapping, autonomy and simulation to cellular robots and can quickly be obtainable for early prospects, Huang introduced throughout his keynote handle on the Computex know-how convention in Taipei.

Isaac AMR is a platform to simulate, validate, deploy, optimize and handle fleets of autonomous cellular robots. It consists of edge-to-cloud software program providers, computing and a set of reference sensors and robotic {hardware} to speed up the event and deployment of AMRs, lowering prices and time to market.

Cell robotic shipments are anticipated to climb from 251,000 models 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 completely different robots extra advanced.

Additionally, warehouses, factories and achievement facilities are huge, continuously working 1,000,000 sq.
toes or extra, making them exhausting to map for robots and preserve up to date. And integrating AMRs into present workflows, fleet administration and warehouse administration techniques could be difficult.

For these working in superior robotics and looking for emigrate conventional forklifts or automated guided automobiles to totally autonomous cellular robots, Isaac AMR supplies the blueprint to speed up the migration to full autonomy, lowering 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 judge Isaac AMR in their very own environments.

Quanta’s Techman Robotic selects Isaac Sim for inspections

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 software 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 shortly determine 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 also be used to optimize inspection workflows for merchandise starting from vehicles to circuit boards.

Techman developed AOI with its factory-floor robots by utilizing 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 growth platform for constructing and working industrial metaverse purposes.

Taiwan’s electronics companies undertake Nvidia Metropolis for Factories

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 facility automation workflows that allows industrial know-how firms and producers to develop, deploy and handle personalized quality-control techniques 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 handbook inspections can’t sustain with the calls for.

Many producers have automated optical inspection (AOI) techniques that may assist, however usually these have excessive false detection charges, requiring labor-intensive and expensive secondary handbook inspections in an already difficult labor market, lowering their worth.

Nvidia Metropolis for Factories now affords an AI platform and workflows for the event of extremely correct inspection purposes equivalent to AOI.

Producer Pegatron, primarily based in Taipei’s Beitou district, is utilizing Nvidia Metropolis for Factories on its manufacturing traces. Pegatron manufactures all the things from motherboards to smartphones, laptops and sport consoles.

With a dozen manufacturing services dealing with greater than 300 merchandise and greater than 5,000 components per day, Pegatron has a variety of high quality management to handle throughout its product portfolio. Additional, frequent product updates require ongoing revisions to its AOI techniques.

Pegatron is utilizing your complete Metropolis for Factories workflow to help its printed circuit board (PCB) factories with simulation, robotics and automatic manufacturing inspection. Metropolis for Factories permits the electronics manufacturing large to shortly replace its defect detection fashions and obtain 99.8% accuracy on its AOI techniques, beginning with small datasets.

Pegatron additionally makes use of Nvidia Isaac Sim, a robotic simulator, to program robotic arms in simulation and
to mannequin the efficiency of its fleets of cellular robots. Tapping into Omniverse Replicator supplies artificial knowledge era to simulate defects, serving to construct huge 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 growth equipment can be utilized to develop optimized clever video purposes that deal with a number of video, picture and audio streams. Utilizing DeepStream, Pegatron was in a position to obtain a ten instances enchancment in throughput.

Furthermore, Omniverse permits Pegatron to run digital twins of its inspection gear, so it may possibly simulate future inspection processes, promising elevated efficiencies to its manufacturing workflow.