by Gary Mintchell | Jan 7, 2020 | Operations Management
I give up. To me, the end of the decade is next year figuring there was not a year 0, then the beginning of the new calendar was year 1 and the end of the first decade was year 10. Oh, well, mainstream media just can’t wait to jump into wrap-up frenzy. So, me, too.
The last 10 years in industrial technology was busy with new buzz words—heavier on marketing than on substance in many ways. We breezed through Industrie 4.0 with its cyber-physical systems. Then we had Internet of Things borrowed from the consumer, largely iPhone, space. But borrowing from GE advertising of the “Industrial Internet”, the “Industrial Internet of Things” became originally the European counterpoint to Germany’s Industry 4.0 and then grew into general adoption.
Not finished with all this buzz, the industry discovered “digital”. We had digital twin (derived from cyber-physical systems). But these had to be connected with the digital thread. And all led into a digital transformation.
Let’s take a look at some specific topics.
Innovation
Much of the foundation was laid in the decade before. Maybe I should say decades. The industry started digitizing in the 1980s. It’s been building ever since. Through the first decade of this millennium great strides were made in control technology, usability, sensors (both sensitivity and communication), networks moving from analog to digital and through field buses to Ethernet.
In this decade, most companies grew by acquisition of smaller, innovative companies and start-ups. The remaining automation giants pieced together strategies based on visions of which companies to acquire and what customer solutions were required. Looking ahead, I’m considering what additional consolidation to anticipate. I think there will be more as the market does not seem to be growing dramatically.
Most innovation came in the realm of data. Decreasing costs of memory, networking stacks, and other silicon enabled leaps in ability to accumulate and communicate data. Borrowing software advances from IT, historians and relational databases grew more powerful along with new types of data handling and analysis coming from the “big data” and powerful analytics technologies.
Another IT innovation that finally hit industrial companies was adoption of “cloud” with the eventual development of edge. Instead of the Purdue Enterprise Reference Model of the control/automation equipment being the gateway of all data from the processes, companies began to go sensor to cloud, so to speak, breaking down the rigidity of PERA thinking.
Digital Everything
It is now old news that digital is everywhere. And, it is not a sudden development. It has been building for 30 years. Like all technology, it builds over time until it’s suddenly everywhere. The question is no longer what is becoming digital, nor is it speculating over marketing terms like digital transformation.
The question about digital everything is precisely how are we to use it to make things better for humans and society.
Sensors—At least by 2003, if not before, I was writing about the converging trends in silicon of smaller and less expensive networking, sensing, processing, and memory chips and stacks that would enable an explosion of ubiquitous sensing. It’s not only here; it is everywhere. Not only in manufacturing, but also in our homes and our palms.
Design—CAD, CAM, PLM have all progressed in power and usability. Most especially have been the development of data protocols that allow the digital data output of these applications to flow into operations and maintenance applications. Getting as-built and as-designed to align improves maintenance and reliability along with uptime and productivity. And not only in a single plant, but in an extended supply chain.
Networking—The emergence of fast, reliable, and standardized networking is the backbone of the new digital enterprise. It is here and proven.
Software—Emergence of more powerful databases, including even extension of historians, along with data conversion protocols and analysis tools provides information presented in an easily digestible form so that better decisions may be made throughout the extended enterprise.
IT/OT
Industry press have talked about IT/OT convergence until we are all sick of the phrase. Add to that stories of in-fighting between the organizations, and you have the making of good stories—but not of reality or providing a path to what works. As Operations Technology (OT) has become increasingly digital, it inevitably overlaps the Information Technology (IT) domain. Companies with good management have long since taken strides to foster better working relationships breaking the silos. Usually a simple step such as moving the respective manager’s offices close to each other to foster communication helps.
New Entrants
Speaking of IT and OT, the modification of the Purdue Enterprise Reference Modal to show data flowing from the plant/sensor level directly to the “cloud” for enterprise IT use has enticed new entrants into manufacturing technology.
If we are not forced to go through the control system to provide data for MES, MOM, ERP, CRS, and the like, then perhaps the IT companies such as Dell Technologies, Hewlett Packard Enterprise, and Hitachi Vantara can develop their compute platforms, partnerships, and software to provide that gateway between plant floor and enterprise without disturbing the control platform.
Therefore we are witnessing proliferating partnerships among IT and OT automation suppliers in order to provide complete solutions to customers.
Strategy
Remember—it is all meaningless unless it gets translated into intelligent action to make the manufacturing supply chain more productive with better quality and more humane.
by Gary Mintchell | Dec 20, 2019 | News, Technology
I have received three different robotic market research reports from two different research firms. Both of these firms seem to do the work that it takes. I’ve done some private contract research and analysis and have an grasp on the work it takes. These reports have major agreements and a few different takes. The short take is that we finally have momentum in new forms of robotics–and that is a good thing.
[Note: In moving this post from my text editor this morning, I inadvertently had left the setting as “publish” instead of “draft”, therefore you received an email with no link. Oops. Sorry.]
Cobot Market Growth
Cobot Market to account for 30% of Total Robot Market by 2027 according to market research firm Interact Analysis.
- The growth rate of collaborative robots is leading the robotics industry
- Logistics will surpass automotive to be the second largest end user of cobots by 2023, with electronics in first place
- In the next five years, the fastest growing regions for collaborative robot shipments will be China and the USA
Market intelligence firm Interact Analysis has released a new market report – The Collaborative Robot Market – 2019 – which indicates strong and sustained growth for the collaborative robot industry.
In 2018, global revenues from cobot production exceeded $550 million. This was almost a 60% increase over 2017; and over 19,000 cobots were shipped. Interact Analysis forecasts that revenues for cobots will reach $5.6 billion in 2027, accounting for almost one third of the total robotics market, and that <5kg and 5-9 kg cobots, popular in small to medium-sized industrial settings, will represent the majority of sales in 2023.
Material handling, assembly and pick & place will be the three biggest applications of collaborative robots. But these functions, which accounted for 75% of cobot revenues in 2018, will drop to below of 70% total revenues by 2023, as other functions for cobots are developed. The use of cobots in non-industrial applications will play a significant role in the coming years – in sectors such as life sciences, logistics, and the hospitality sector. In part this is because they are flexible and easy to set up, making them attractive to smaller companies which may not have previously considered using robots.
Labour shortages and the drive to improve efficiency mean that China will be the fastest growing region for cobot shipments. The demand for simple, cost-effective, entry-level robots, together with different regulations surrounding industrial equipment in China has fuelled the growth of Chinese cobot manufacturers who only supply their local market. This has arguably distorted the market figures. Interact Analysis has responded to this by including in its report two data sets, one with and one without the impact of China. It is important to note, however, that growth outside of China is still forecast to rise at a CAGR of over 30% in the next 5 years.
Maya Xiao, lead analyst on cobots for Interact Analysis, says: “The collaborative robot market is still relatively immature, but Interact Analysis has identified clear potential growth areas, both in industrial and non-industrial settings, enabling manufacturers to respond effectively, and take full advantage of what we predict to be an area which will occupy a significant market share in the coming years”.
Robot Market Declines then Rebounds
- Automotive and smartphone production declines played a significant part in 2019 slowdown
- New applications, lower prices and wider use cases will lead to a significant upturn by 2023
- China shows its strength, both domestically and in attracting external investment
Market intelligence firm Interact Analysis has released a new market report focusing on the industrial robot market. The research outlines reasons to be positive in the sector, despite an immediate, short term decline in revenues.
The report goes into detail around specific headwinds that have challenged growth within the sector, including the slowing global economy, trade wars and uncertainty in the global automotive industry. Compared to 2017, where revenues associated with industrial robots increased by 20%, forecasted declines of 4.3 per cent in 2019 have caused some concern.
Jan Zhang, research director at Interact Analysis, said: “Automotive and smartphone production declines play a significant part in this downturn. As the largest end-user segment for industrial robots – accounting for over 30% share of revenues – any downturn in this area is always keenly felt in automation and robot investment.
“Despite this, however, there are reasons to be optimistic. Long term drivers, both for industrial robots and for automation as a whole, remain very strong. Growth is expected to pick up on 2020, and then accelerate further in 2021 due to new industry applications, lower prices and wider use cases.”
The report’s findings, based on interviews with all leading robotics companies (as well as a wide selection of innovative robot start-ups, system integrators and component suppliers), highlight the importance of new robot types in fuelling this growth. In particular, cobots – collaborative robots – which work alongside humans are finding favour in industries not traditionally associated with the use of robots. Among those industries identified are food and beverage, logistics, packaging and life sciences.
“Growth in these industries can’t fully compensate for the decrease in the automotive industry, but it does warrant optimism for the future,” said Jan.
A central element to the report’s findings is the impact China is having on the global industrial robot market in 2019. While Japan remains the largest producer of industrial robots, with an estimated 45% of total production, there has been significant growth in production capacity and output in China. This can be attributed a number of factors, including Chinese vendors entering the market and inward investment from traditional industrial giants like ABB, Fanuc, KUKA and YASKAWA.
Jan added: “While it is true growth of industrial robot revenues has slowed down, the reasons for this are clear and, for the most part, beyond the control of the vendors. Despite this, however, there is evidence that the industry is diversifying and putting the foundations in place for significant future growth, making this one of the more exciting spaces to operate in.”
Mobile Systems Drive Robot Market Growth
Robotics Industry Set for Seismic Change as Growth Shifts from Fixed Automation to Mobile Systems in Enterprise.
Of the 8 million robots shipped in 2030, nearly 6 million will be mobile.
The robotics market is set to transform over the next 10 years, based on the most comprehensive robotics tracker yet released by global tech market advisory firm, ABI Research. There will be enormous growth across all subsectors, highlighted in a total market valuation of US$277 billion by 2030. That growth will not be distributed evenly, however. By 2022, the burgeoning mobile robotics space will start to overtake the traditional industrial robotics market. Currently, mobile autonomy is concentrated in material handling within the supply chain, but mobile robots are set to touch every sector of the global economy for a wide range of use-cases.
“Everyone talks about self-driving passenger vehicles, but mobile automation is far more developed in intralogistics for fulfillment and industry,” said Rian Whitton, Senior Analyst at ABI Research. “The automation of material handling will see huge segments of the global forklift, tow truck, and indoor vehicle market consumed by robotics vendors and Original Equipment Manufacturers (OEMs) that bring indoor autonomy.”
Amazon Robotics is the leader that has driven growth in mobile robotics for the last 7 years since their acquisition of Kiva Systems. With an estimated 256,000 automated guided vehicles deployed to date, Amazon holds close to 50% of material handling robot market share and is broadening its portfolio of robot subtypes with autonomous mobile robots for transport and delivery. Other major Automated Guided Vehicle (AGV) developers like Quicktron, JD.com, Geek, and Grey Orange are deploying thousands of robots yearly, while Automated Mobile Robot (AMR) developers are just beginning to scale up. Brain Corp. has deployed 5,000 systems primarily in retail, and BlueBotics has deployed some 2,000 robots for intralogistics in and around the supply chain. Meanwhile MiR, an AMR company acquired by Teradyne in 2018, is beginning to achieve growth rates in excess of the company’s other robotics acquisition of major cobot developer, Universal Robots.
The distinction between AGVs and AMRs can be contested, but AMRs do not require external infrastructure to localize themselves and are built with sensors and cameras to self-navigate their environments. Currently, AGVs represent the majority of mobile robot shipments, but by 2030, this will change. While there will be 2.5 million AGVs shipped in 2030, the total shipments of AMRs will reach 2.9 million in the same year. This is due to the declining costs of superior navigation and the desire to build flexibility into robotic fleets. “Many new verticals, like hospitality, delivery, and infrastructure, will demand systems that do not require external physical infrastructure to move about. While AGVs will thrive in intralogistics for fulfillment, especially in greenfield warehouses, AMRs solve the challenges faced by many end-users by offering incremental automation that does not require a complete change of environmental infrastructure,” Whitton explains.
In a major example of automation extending to new and important vehicle-types, the shipments of automated forklifts are set to grow from 4,000 in 2020 to 455,000 in 2030, with a CAGR of 58.9%. Meanwhile, the revenue for all mobile robotics is expected to exceed US$224 billion by 2030, compared to US$39 billion for industrial and collaborative systems.
Leading the way in mobile robotics are French manufacturer Balyo (which partnered with Amazon), Seegrid (who have sold over 800 units) and a number of smaller actors that are just beginning to scale. This opportunity is leading vehicle manufacturers such as Toyota, Yale & Hyster, and Raymond to partner with robotics companies to offer automation to manufacturers. Given the global shipments for forklifts is close to 1 million, half of all shipments could be automated by 2030.
Another significant sector for mobile automation will be maintenance and cleaning. There are already over 5,000 autonomous floor scrubbers in U.S. retail stores and commercial buildings. With Softbank’s deployment of mobile cleaners for offices being rolled out in Asia and the United States, cleaning robots will become a common sight within the service economy.
Even more esoteric form factors, like quadrupeds, are expected to increase significantly for data collection purposes, particularly for real estate, construction, and industrial inspection. ABI Research predicts that quadrupeds, exemplified by vendors like Boston Dynamics, Zoa Robotics, ANYbotics, and Ghost Robotics, will increase to 29,000 yearly shipments by 2030. “As mature sectors of the robotics industry achieve growth more in line with established technology markets, mobile robotics are set to create lasting transformative effects across the supply chain and will become increasingly ubiquitous throughout the global economy,” Whitton concludes.
These findings are from ABI Research’s Commercial and Industrial Robotics market data report. This report is part of the company’s Industrial, Collaborative & Commercial Robotics research service, which includes research, data, and ABI Insights. Market Dataspreadsheets are composed of deep data, market share analysis, and highly segmented, service-specific forecasts to provide detailed insight where opportunities lie.
by Gary Mintchell | Dec 17, 2019 | Asset Performance Management, Data Management, Internet of Things, Manufacturing IT, Software
Suppliers of manufacturing software, some from surprising places, are putting sizable investments into products that will help customers reap the rewards of digitalization. Today, I’m looking at both ABB and Emerson Automation Solutions. Previously I checked out GE Digital and Rockwell Automation. Each has taken a slightly different course toward the goal, but notice the common thread of enhancing software products to help customers prosper.
ABB enhances manufacturing management technology
The new version of ABB Ability Manufacturing Operations Management will offer new features including:
- Enhanced user experience based on new HTML 5 web client;
- A new smart interactive dashboard application that provides greater visibility and collaboration;
- A new statistical process control (SPC) application, to determine if each process is in a state of control;
- A new Batch Compare application – for advanced batch analysis.
“ABB Ability Manufacturing Operations Management is a comprehensive, scalable and modular software suite that optimizes visibility, knowledge and control throughout the operations domain,” said Narasimham Parimi, Head of Digital Products – Product Management, Process Control Platform. “This release provides a range of rich new functionality and a new enhanced user experience that enables operations to become more productive and responsive.”
ABB Ability Manufacturing Operations Management is designed to simplify production management by enabling performance monitoring, downtime management, and maintenance support, as well as providing statistical production analysis tools. It provides solutions and tools to facilitate the collection, consolidation and distribution of production, quality and energy information via the plant’s web-based reports, trends, and graphs.
A new, self-service dashboard application promotes increased collaboration, providing visibility from shop floor to top floor and spanning IT and OT environments. It increases data connectivity to all apps and modules within the MOM suite, combining historic and manufacturing data and providing the user with improved customization capabilities. Dashboards can be shared amongst users, further promoting collaboration between teams. Trends and events are displayed together, which enables customers to identify issues and opportunities enabling informed and timely decisions.
The new common services platform features an HTML 5 web platform that runs across all suites ensuring customers have a seamless user experience, so that applications can be viewed on different devices right down to a 10-inch tablet.
Statistical data process control (SPC) is used in manufacturing to determine if each process is in a state of control. The new SPC application works across all the different apps and modules and helps the user to improve quality and production related performance.
In addition to the existing Batch View and Batch Investigate features, a comparison option has been added to the platform’s batch analysis applications, allowing different types of comparison.
Cyber security remains one of the key issues in the advancement of Industry 4.0, and the new features in MOM include enhanced security.
Emerson Expands Analytics Platform
Plantweb Insight platform adds two new Pervasive Sensing applications that manage wireless networks more efficiently with a singular interface to the enterprise.
Emerson has added two new IIoT solutions to its Plantweb Insight data analytics platform that will enable industrial facilities to transform the way they manage their enterprise-level wireless network infrastructure.
As digitalization and wireless technology adoption continue to rapidly expand in industrial facilities throughout the world, the need for greater visibility of network infrastructure performance is key. These new Plantweb Insight applications provide a quick-to-implement, scalable IIoT solution that helps customers advance their digital transformation strategies and achieve greater operational efficiencies.
The new Plantweb Insight Network Management application provides continuous, centralized monitoring of WirelessHART networks. This first-of-its-kind application provides a singular, consolidated view of the status of all wireless networks in a facility, with embedded expertise and guidance for advanced network management.
A key feature of the Plantweb Insight Network Management application is a configurable mesh network diagram, providing visualization of network design and connections along with device-specific information. It also provides an exportable record of syslog alerts, network details outlining conformance to network best practices and more.
While the new network management application provides a holistic look at wireless networks, the Plantweb Insight Power Module Management application drills down to the device level, allowing facilities to keep their wireless devices appropriately powered so they can continuously transmit key monitoring data. By aggregating power module statuses, users can evolve traditional maintenance planning and implement more efficient and cost-effective practices.
“We were able to infuse a decade of experience with wireless technology into these new offerings,” said Brian Joe, wireless product manager with Emerson’s Automation Solutions business. “Our customers will now be able to manage and improve hundreds of networks through a singular interface, realizing significant efficiencies in individual network and wireless device management and maintenance.”
These new applications further enhance the Plantweb Insight platform, a set of pre-built analytics primarily focusing on monitoring key asset health. Other applications in the platform include pressure relief valve monitoring, heat exchanger monitoring and steam trap monitoring.
by Gary Mintchell | Dec 2, 2019 | Automation, News
Just before Thanksgiving, I had the opportunity to talk with Adrian Lloyd, CEO of Interact Analysis. Interact is a new market research and intelligence company composed of industry veterans of other firms. The company researchers perform many more interviews than the industry norm combining with deep regional manufacturing data in order to achieve better and more granular results.
Company CEOs provided insight to me years ago about the accuracy (or lack) of many market analyses. I’m always in search of better information. We’ll try this one.
Interact has just released two reports—low voltage AC drives and motion control.
2019 low voltage AC motor drives report from Interact Analysis
- Decentralized and motor mounted drives to show the strongest growth
- Danfoss overtook Siemens in 2018 to be number 1 drives supplier to the EMEA region
- Cabinet mounted general purpose drives have largest percentage of sales by product type
The research shows that growth in the intralogistics and materials handling sector has led to increased demand for decentralised and motor mounted drives, leading them to show the strongest growth over the five-year forecast period out of all seven product types covered. Cabinet mounted general purpose drives account for nearly half of drive sales globally, but also represent the slowest growing product type.
Meanwhile, from a regional perspective, although ABB is the number 1 drives supplier on a global basis, Danfoss has overtaken Siemens to be number 1 in EMEA. The Americas is predicted to be the fastest growing drives market for 2019, while the market in EMEA is shrinking, and China continues to occupy the largest share of the market (43% by unit shipments in 2019).
Interact Analysis has pioneered a new forecasting approach that gives an unprecedented level of detail. For example, users could choose to view anticipated demand for drives under 2.2 kW in the Indian packaging market. This is possible because the report is underpinned by 12 years of data on industrial production (the value of goods produced) and machinery production (the value of the machines used to produce goods). This information comes from Interact Analysis’s Manufacturing Industry Output Tracker – a big data tool that aggregates national manufacturing surveys from all major manufacturing economies in a set of over 1.2 million datapoints.
Lloyd says of this report: “In 2018 average drive prices fell by 2.7% compared with 2017, and we expect this trend to continue. To compound this, 2019 is experiencing a slowdown in the market. Yet the drives industry has reason for positivity. And not just because we expect the market to rebound in 2020.
“The world is becoming increasingly automated – in fact it is becoming rare to open a national daily newspaper and not read something about how automation is impacting the economy. Automation growth sectors, such as eCommerce warehouses, are creating vast new opportunities for drives. In the longer run, it is very positive for drives manufacturers that our research shows drives buyers increasingly see drives as the front line of predictive maintenance and industrial IoT.
“Most drives reports model industry dynamics by simply comparing the growth of the drives market with the growth of the entire manufacturing sector. Ours is different. Interact Analysis’s Manufacturing Industry Output tracker compares the value of goods produced with the value of machines used to produce goods to give a whole range of fresh new insights unavailable in any other drives report.”
Motion Control Market to Exceed $15bn by 2023
New 2019 motion control market report from Interact Analysis reveals
- Despite a short-term dip in 2019, longer term forecasts predict solid growth
- Increased reliance on industrial robotics a significant contributor
- Growth rate to exceed that of global manufacturing production by 2020
Interact Analysis has released a new market report – Motion Controls – 2019 – pointing to strong growth over the next four years for motion control products.
Despite a small decline in 2019 (-3.8%) the report outlines how the market for motion control products will grow strongly, ultimately exceeding $15bn in 2023. Also noteworthy is the firm’s belief that the motion control market will outpace growth of global manufacturing production from 2020 onwards. The positive outlook holds true despite the torrid time currently facing machine tool vendors which, as the single largest consumer of motion control products, generated over a third of motion control revenues in 2018.
Interact Analysis points to several sectors which are helping to drive a more positive outlook for motion controls. These include food & beverage machinery, packaging machinery, robotics and material handling equipment, especially equipment for warehouse automation and intralogistics. Together these sectors generated just under a quarter of total motion control revenues in 2018 and are forecast to account for closer to 30% in 2023.
The report outlines further factors strengthening the outlook for motion control demand, including the trend for decentralization. Here higher-protection ratings are helping to advance the market for particular motion products. Although even combined the opportunity is small compared to the total (representing only 2.4% of the global market in 2018), the findings show that revenues for both products are projected to experience higher growth than the rest of the market, driving their combined value to exceed $500m in 2023.
Geographically, six regions – China, USA, Japan, Germany, Italy and South Korea – will continue to dominate market revenues. China, in particular, is expected to add significant revenues over the next four years, making it almost twice as big as the United States. In industry terms, sectors utilising metal cutting tools remain the largest in revenue terms, however the strongest overall growth during the forecast period came from mobile robots and industrial robots, which are the only ones forecast to experience growth in 2019 versus 2018.
Tim Dawson, research director for Interact Analysis and principal analyst of the motion controls report, said: “Although the motion control market may be considered fairly mature there are important trends impacting its future growth helping drive revenues at an above average rate for the long-term. Couple that with product releases from new vendors, plus expanding portfolios from existing ones; and the fundamentals for this industry appear very strong, even despite headwinds in certain key sectors.”
by Gary Mintchell | Nov 8, 2019 | Automation, Technology
Artificial Intelligence, or AI, is not necessarily the dystopian technology portrayed in books and movies. Although neither artificial or intelligent, AI can be a powerful tool in the engineer’s kit.
Recently Carl Palme of Neurala chatted with me introducing the company and what it means by AI in its vision systems. We both have some sheet metal work in our backgrounds, so we found common cause with one of the powerful applications—finding small surface anomalies.
There is also company news. In short:
- IHI Corporation Selects Neurala to Enable Industrial Visual Inspection and Analysis Powered by AI
- One of the Largest Global Heavy-Industry Manufacturers Partners With Leader in Automated Visual Inspections to Build Vision AI-Powered Industrial Solutions
AI-powered visual inspection pioneer Neurala announced a partnership with IHI, one of the largest manufacturers in the world.
IHI is a leading producer of aircraft engines and turbochargers for vehicles and industrial machines, along with additional transport-related machinery and more. Neurala’s automated visual inspection platform will be deployed as a key component of IHI’s workflow, improving manufacturing optimization and enabling more efficient industrial inspections.
“Automation is an area of critical focus as we further strengthen our reputation as the leading manufacturer of transport-related machinery worldwide,” said Ms. Nobuko Mizumoto, Director of IHI Corporation. “Today, we are collecting data on our workflow that needs to be carefully analyzed. AI-assisted data analysis is the future of manufacturing processes, and Neurala has the industrial and manufacturing inspection expertise we require in an AI solution. As we lead IHI into Industry 4.0, we are proud to partner with Neurala to deploy a reliable AI that can function in settings that are subjective and change rapidly, without requiring any downtime on our production lines.”
IHI will leverage Neurala’s automated visual inspection platform to review product and workflow processes, cementing its reputation as a leader in safety and efficiency. AI-powered inspections allow manufacturers to accelerate new initiatives without sacrificing a gold standard of quality workmanship. IHI will use Neurala’s Brain Builder, the first cost-effective AI tool that allows users to build, deploy and analyze custom vision AI solutions with instant feedback on performance. Brain Builder simplifies the process and reduces the time to deployment in subjective settings, using on-the-fly learning to increase accuracy as the user adds data.
“We are thrilled to partner with IHI as we illustrate the critical role AI will play in manufacturing, improving efficiency in a field in which optimization is essential,” said Massimiliano Versace, co-founder and CEO of Neurala. “We look forward to building upon our strong presence in the APAC region through an industry leader like IHI. IHI selected Neurala to bolster its offerings as the industrial sector continues to evolve; our partnership will demonstrate the value of implementing AI to solve challenges of visual inspection on factory floors and to improve automation.”
Neurala is the company behind Brain Builder: a SaaS platform that dramatically reduces the time, cost and skills required to build and maintain production-quality custom vision AI solutions. Founded in 2006, Neurala’s research team invented Lifelong-DNN (L-DNN) technology, which reduces the data requirements for AI model development and enables continuous learning in the cloud or at the edge. Now, with customers in the industrial, drone, robotics, and smart devices verticals, Neurala’s technology has been deployed on 53 million devices globally.
