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LG Innotek to build FC-BGA into 700 million USD business by 2030 with its state-of-the-art Dream Factory

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1 year ago

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SEOUL, South Korea, May 12, 2025 /PRNewswire/ — LG unveiled the Dream Factory, a hub for the production of FC-BGAs (Flip Chip Ball Grid Arrays), the company’s next-generation growth engine, to the media for the first time and announced it on the 30th April.

In 2022, LG Innotek announced its plans to launch a business producing FC-BGAs, high-value semiconductor substrates. To build the Dream Factory, the company acquired LG Electronics’ Gumi 4 Factory and began full-scale mass production in February 2024.

The Dream Factory, spanning a total area of 26,000 square meters, is regarded as the industry’s most advanced “smart” factory, integrating the latest IT technologies, including artificial intelligence, deep learning, robotics, and digital twin technologies. By applying automation, information, and intelligence technologies to the entire process, it has established a cutting-edge FC-BGA production infrastructure that eliminates the four major factors known to undermine production competitiveness: human error (Man), failure cost(F-cost), breakdown maintenance (BM) loss, and accidents.

“Elimination of defects caused by human contact” through automation of all processes and logistics using robots

For semiconductor substrate products such as FC-BGAs, which require a highly demanding ultra-fine process, even the smallest foreign objects (eyelash, saliva, etc.) can cause quality issues. Therefore, it is crucial to minimize human contact with products during production.

To this end, LG Innotek has introduced a completely automated logistics system at the Dream Factory, where coming across a person is a rare event. Apart from essential personnel, such as equipment maintenance and repair workers, all 10 steps of the FC-BGA production and logistics processes are unmanned.

Dozens of autonomous mobile robots (AMRs) move materials around the production line autonomously. When a production order is placed, which is done automatically, based on the customer’s delivery timeframe entered in the RTS (real-time schedule), the AMRs transport the raw materials to the process facility. Once the barcode on the raw material is detected, also done automatically, by the machine, the process recipe is automatically set on the equipment according to the product specifications through the recipe management system (RMS), after which the product processing begins. The AMRs are also responsible for loading the finished product back into the stocker.

In addition, the process of peeling off the protective film from the panel (film detach) is also replaced by a robot. This enables the early prevention of fine scratches and defects caused by foreign objects such as dust particles and foreign substances. The construction of non-touch production facilities, involving such equipment as collaborative robots, in the entire process has significantly reduced mishandling by workers.

Unmanned AI-based FC-BGA quality inspection, enhancing customer confidence by ensuring quality “transparency”

The Dream Factory generates more than 200,000 files and 100GB of data related to FC-BGA production every day. LG Innotek collects this data throughout the production process through sensors installed in all of its facilities.  By applying AI, which continuously learns from this big data, to the defect prediction and inspection system, the company has significantly reduced the lead time caused by defects.

In addition, LG Innotek has applied an AI deep learning vision inspection system to the Automated Optical Inspection (AOI) process, which is the most important step in determining whether a product is of good quality. Tirelessly, the robot moves the finished FC-BGA board products to the vision screening inspection table. Next, the AI, which has been trained on tens of thousands of data points on defective and good quality FC-BGAs, detects micro-level defects that are challenging to identify with the naked eye, and it does so in only 30 seconds.

LG Innotek is operating a further advanced AOI process. In the room next to the AOI equipment for faulty circuits, there is a much larger robot and inspection system. Called Line Quality Control (LQC), it can automatically check whether the various specifications (thickness, size, etc.) of the product requested by the customer have been fulfilled. The inspection data is immediately sent to the customer, ensuring product quality transparency, which leads to higher customer confidence. This industry-leading sophistication of LG Innotek’s AOI equipment has been cited as one of the most impressive aspects of the factory by the global customers who have visited it.

AI can identify defective products, and since every product has a barcode that tracks its process history, products that are deemed defective are automatically filtered out without the need for human intervention, reducing F-costs by more than 50%.

Additionally, AI has been applied to the digital simulation system, which prevents product defects and equipment failures. Previously, the process of workers manually checking products for defects and identifying which machines were faulty and how to repair them in response to defects required a lot of time. This can now be significantly improved.

By 2026, LG Innotek plans to introduce an intelligent Quality Management System (i-QMS) that detects and analyzes quality irregularities during production in real time and automatically corrects them. The company plans to automate the entire FC-BGA production process, especially by developing a platform that uses digital twin technology to share information on all processes, from product development to production, with customers in real time to enhance customer responsiveness.

Optimized FC-BGA process equipment using digital twin technology, “halving the ramp-up period”

Since even the smallest variables can lead to poor performance in FC-BGAs, equipment optimized for mass production and process recipes and production environments set to perfect values are fundamental to achieving high yields.

The FC-BGA process equipment installed in the Dream Factory is set to optimal conditions through digital twin technology. In the past, identifying optimal conditions for the FC-BGA process required a lot of time and money, along with hundreds of tests. Before building the facility, LG Innotek managed to identify problems with the initial setup of the FC-BGA process facility in advance by conducting a “factory simulation” using 3D modelling in virtual space. This enabled the facility to be carefully set for optimal conditions, such as liquid, heat, and air flow, which were difficult to measure inside the actual facility. As a result, the ramp-up period (increase in production capacity by improving initial production yields) was shortened by nearly half compared to the previous operation period.

In addition, digital twin technology is applied to the Line Monitoring System (LMS), which monitors production status in real time. The real-time monitoring system enables users to monitor the production line currently in operation, product movement, inventory status, equipment irregularities, production performance, and product quality status at a glance on the large screen of the integrated control room where the LMS is installed. This makes it possible to respond immediately in the event of any irregularity.

Internalization of glass core technology, step-by-step entry into the high-end FC-BGA market: “Fostering the business into 700 million USD business by 2030″

Over the past 50 years, LG Innotek has accumulated core technologies for high-value semiconductor substrates, such as ultra-fine microcircuits and high-density, multi-layer substrate matching technology (stacking multiple substrate layers accurately and evenly), through its substrate material components business.

Based on this know-how, the company began full-scale mass production of FC-BGAs for personal computers (PCs) for North American big-tech customers at the end of last year and recently succeeded in securing additional global big-tech clients. This year, LG Innotek aims to enter the FC-BGA market for PC central processing units (CPUs). Its strategy is to enter the high-end FC-BGA market in phases, including entering the server FC-BGA market as early as 2026. In preparation for this, LG Innotek has already acquired facilities that are essential in the manufacturing of FC-BGA products for servers, such as “edge coating” that blocks the generation of dust particles.

In line with this goal, LG Innotek will also accelerate the development of next-generation substrate technologies in collaboration with global big-tech clients. By 2027, the company plans to internalize technologies such as re-distribution layer (RDL) technology, which engraves microcircuit patterns directly onto the substrate; device embedding technology, which minimizes power loss by embedding devices into the substrate; and multi-layer core (MLC) and glass core (glass substrate) technologies, which prevent warping when implementing large-area substrates. In particular, LG Innotek has been promoting glass substrates by strengthening its collaboration with global customers.

Minseok Kang, vice president and head of LG Innotek’s Substrate & Material Business Unit, said, “LG Innotek will continue to expand the production of FC-BGAs that provide exceptional customer value based on its state-of-the-art Dream Factory and develop the FC-BGA business into 700 million USD business by 2030.”

According to the Fuji Chimera Research Institute, the size of the global FC-BGA market is expected to more than double from USD 8 billion in 2022 to USD 16.4 billion in 2030.

[Glossary]

FC-BGA (Flip Chip Ball Grid Array): This is a semiconductor substrate that is widely applied to electronic devices equipped with semiconductor chips (CPU, GPU, AI chips, etc.) that perform various computing functions. Demand for high-performance semiconductor substrates is growing rapidly due to increased data throughput, higher semiconductor processing speeds, and the need for low-power semiconductors. For these reasons, FC-BGAs have a larger area and more layers than conventional semiconductor substrates. They are also known to have high barriers to market entry because they require top-level facilities and technologies to produce.

 

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Axon Announces Body 5: Next-Generation Camera Built for the AI Era

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5 hours ago

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October 24, 2026

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Axon Body 5 delivers 25x the AI processing power of earlier-generation cameras, with upgraded connectivity, audio and battery life to support real-time situational awareness in the field

SCOTTSDALE, Ariz., Oct. 24, 2026 /PRNewswire/ — Axon (Nasdaq: AXON), the global leader in public safety technology, today announced Axon Body 5, its newest body-worn camera designed to bring more powerful intelligence, connectivity and real-time support directly to officers in the field.

For years, Axon body cameras have helped agencies capture critical evidence and create greater transparency. Body 5 is built to help officers during the call, with information, assistance and backup on the spot.

“Officers shouldn’t have to choose between getting information and watching the scene. With Axon Body 5, they don’t,” said Rick Smith, Axon Founder and CEO. “They capture a license or document with the camera, keep their hands free and eyes up, and get information faster than writing it down and calling it in by radio. An officer fully engaged with the person in front of them, not down at a notepad, is a safer officer and a better-served community.”

Axon Body 5: Built for the AI Era

Built from the ground up for the AI era, Axon Body 5 delivers 25x the AI processing power than earlier generation Axon body cameras, alongside advancements in connectivity, audio, video and battery life. Together, these upgrades give the camera the physical power to run smarter AI features — both today and as new AI tools are developed in the future — while also making it more dependable for officers to use every day. 

For the first time, Axon is also introducing two versions of its latest flagship camera: Axon Body 5 and Axon Body 5 Pro.

Both models feature several key advancements, including:

25x more processing power for AI: A powerful new computing architecture creates the capacity to support current and future AI features directly on the body camera.Enhanced video: Improved video captures clearer evidence across challenging environments, including better low-light performance.Improved connectivity: Seamless connectivity in urban and remote environments – and more precise location capability – helps officers, cameras and remote support teams stay connected when timely information matters most.Longer battery life: 20% more battery life than the previous generation helps keep the camera ready and connected throughout an officer’s shift.

The Axon Body 5 Pro will continue to gain new AI capabilities as they become available, growing along with the AI Era Plan. Additionally, new hardware features include:

A near-focus camera: An additional dedicated camera lens lets officers scan driver’s licenses to check status and search for wants or warrants in seconds, without returning to the patrol vehicle, with relevant information sent to Axon Fusus to support real-time operations.Front-facing speakers: Four additional speakers project even more powerful audio toward the person an officer is speaking with, helping real-time translations from Axon Assistant carry more clearly over heavy traffic or crowd noise. Additional memory: Extra space lets the camera run several AI tools at once, helping officers stay better informed and work faster.

Bringing More of Axon’s AI Era Into the Field

Axon Body 5 helps officers get more out of the Axon AI Era Plan by bringing smart tools right to the scene. Axon’s portfolio already supports public safety professionals across a growing range of tasks. For example, Draft One helps officers turn body-camera audio into high-quality report drafts and Axon Assistant provides voice-based information access and real-time translation.

Increasingly, Axon is also bringing AI into real-time operations.

Axon Guardian is a new category of AI features within the AI Era Plan that was specifically created to work with an officer’s field-based devices – starting with body cameras and in-car cameras – to improve safety. Guardian is designed to flag potential risks as situations unfold and create alerts when additional attention may be needed. Two of the first features include:

Escalation Detection: When an Axon Body 4 or Axon Body 5 camera is activated and recording, Guardian has the ability to detect potential conflicts in real time and create an alert in Axon Fusus. A human reviews the livestream and decides if additional support or action is needed.Approach Alert: When active on Axon Fleet 3, Guardian can detect if the door of a stopped vehicle opens and alert the officer through the in-car display and their body-worn camera.

Combined, Axon Body 5 and the expanding AI Era portfolio demonstrate the importance of AI as a critical resource to assist public safety professionals before, during and after an incident — reducing administrative burden, improving situational awareness and helping protect more lives.

Innovating Responsibly

Axon’s Responsible Innovation framework guides the development of all of its products. Designed with this in mind, Axon Body 5 and Guardian prioritize human oversight and maintain agency control over data. As a key part of the responsible innovation process, Axon’s independent Ethics and Equity Advisory Council was created to help responsibly develop and deploy new technologies with transparency, while aligning with community expectations.

General availability dates for Axon Body 5 and Axon Guardian will be announced soon. Product features and capabilities vary by configuration. For more information on Axon’s current products and services: Axon Product Catalog – Axon.com.

About Axon
Axon (Nasdaq: AXON) is the global leader in public safety technology supporting state, local, federal and international public safety agencies with technology designed to Protect Life. Complementing its mission, Axon’s growing Enterprise market focuses on protecting critical infrastructure and frontline workers across multiple industries including corporate security, hospitality, retail and healthcare. Founder-led since 1993, Axon builds products with transparency and responsibility. From TASER energy devices to today’s connected network of hardware – including cameras, drones, and robotics – cloud software, sensors, and AI-tools, the Axon ecosystem helps seamlessly protect people and places when it matters most. To ensure these technologies align with community expectations, Axon’s independent Ethics & Equity Advisory Council guides the ethical, inclusive, and accountable design of its products and services. Learn more about the EEAC and Axon’s Responsible Innovation framework at Axon Responsibility. 

Non-Axon trademarks are the property of their respective owners. Axon, TASER and the Delta Logo are trademarks of Axon Enterprise, Inc., some of which are registered in the US and other countries. For more information, visit www.axon.com/legal. All rights reserved.

Please visit https://investor.axon.com and https://www.axon.com/newsroom for more information.

Media Contact:
Kate MacKinnon
Vice President, Communications
press@axon.com

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In HelloNation, Custom Fabrication Expert Mark Coyle Explains a Common Mistake in Custom Aluminum Design

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6 hours ago

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October 24, 2026

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The article explains why smart geometry, not thicker walls, creates stronger, more efficient aluminum components.

ROCHESTER, N.Y., Oct. 24, 2026 /PRNewswire/ — What early design choice causes many custom aluminum projects to become heavier, costlier, or harder to manufacture? That question is addressed in a HelloNation article featuring insights from Custom Fabrication Expert Mark Coyle of American Custom Metals, Inc. in Rochester, New York, that outlines how misunderstanding aluminum behavior leads designers to rely on thick walls instead of stronger geometry.

The article begins by explaining that many people assume thicker walls automatically make aluminum parts stronger. It notes that aluminum does not respond to wall thickness the way steel does. Instead, its performance is shaped by how the metal flows through the extrusion die. The article states that custom aluminum design is more effective when profiles use ribs, chambers, and flanges to create stiffness without adding unnecessary weight. This guidance helps readers understand why adding material often increases cost without improving strength.

The article also highlights that thicker walls change how aluminum moves during extrusion. When heavy areas fill more slowly, the metal cools unevenly and can develop stress that only appears later. The HelloNation piece explains that well-balanced geometry keeps extrusion smooth and predictable. This consistency makes it easier to maintain dimensional accuracy across long production runs. By focusing on geometry, custom aluminum design avoids the problems that come with slow extrusion speeds and uneven cooling.

Another insight in the article centers on how ribs and internal supports influence stability. It describes how a thin wall supported by a properly placed rib often performs better than a thick wall with no reinforcement. This happens because the rib helps distribute load, improve stiffness, and guide the aluminum as it cools. The article explains that this structural approach makes custom aluminum design more efficient and gives designers more control over how the final part behaves under pressure.

The article also shows why early collaboration between designer and fabricator prevents costly changes. It states that a fabricator familiar with extrusion can catch potential issues before a die is built. Small adjustments to corners or transitions can remove weak points or improve metal flow. The article notes that this teamwork keeps the design aligned with real-world production. By working together early, both sides reduce the risk of redesigning the die after the first test run.

Machining is another area where the article explains how wall thickness affects performance. Features such as deep pockets or sharp internal angles may require slow feed rates or special tooling. When walls are thicker than needed, those areas can become difficult to machine cleanly. The article states that thoughtful custom aluminum design makes machining more predictable. Small changes, such as adding radiused edges or sizing features to match standard tools, help shorten cycle times and prevent tool wear.

Thermal behavior receives detailed attention as well. The article explains that aluminum retains heat differently depending on the mass of each section. Thicker walls hold heat longer, which increases the chance of distortion during extrusion, machining, or finishing. When a design uses geometry to create strength, the material cools more evenly. This reduces warping and helps long profiles stay aligned. The article notes that stable cooling is important for components that require a precise fit and consistent shape throughout an entire production run.

Cost is also a key topic in the article. It states that heavier profiles increase material use, extrusion time, and tooling needs. A custom aluminum design that relies on geometry instead of mass lowers material consumption and keeps the fabrication process efficient. The article explains that lighter parts are easier to handle, ship, and assemble. This saves money across multiple stages of production and supports long-term manufacturing efficiency.

The article also notes that smart custom aluminum design creates profiles that behave predictably during extrusion and machining. Smooth transitions, balanced wall dimensions, and structural features help reduce the chance of distortion or dimensional drift. These elements also lower scrap rates and support reliable performance. By using geometry instead of excess material, designers build parts that maintain strength without compromising manufacturability.

As the article concludes, it emphasizes that avoiding thick walls is one of the best ways to improve performance and lower cost. It states that the most dependable custom aluminum components come from designs that use structural features to strengthen the profile. When designers understand how aluminum behaves at each stage of extrusion and machining, they create parts that are strong, efficient, and consistent from batch to batch. This approach turns custom aluminum design into a predictable process rather than a series of uncertain adjustments.

A Common Mistake in Custom Aluminum Design features insights from Mark Coyle, Custom Fabrication Expert of Rochester, NY, in HelloNation.

About HelloNation
HelloNation is America’s Good News Network, a premier media platform built on the idea that good news travels faster when real people tell real stories. Through its community-focused publications and innovative “edvertising” approach, HelloNation delivers content that informs, inspires, and spotlights the leaders making a meaningful impact in their communities.

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World Young Scientist Summit 2026 Opens in Wenzhou, Zhejiang

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7 hours ago

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October 24, 2026

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WENZHOU, China, Oct. 24, 2026 /PRNewswire/ — This is a report by China Daily:

On October 24, the World Young Scientist Summit 2026 opened in Wenzhou, Zhejiang. The event is hosted by the China Association for Science and Technology (CAST), the Zhejiang Provincial People’s Government, and the World Association of Young Scientists. Nearly 800 representatives, including scientists, educators, and entrepreneurs from more than 60 countries and regions, are attending the summit.

He Junke, Vice President of CAST in charge of daily work and First Secretary of its Secretariat; Lian Yimin, Chairman and Party Group Secretary of the Zhejiang Provincial Committee of the Chinese People’s Political Consultative Conference; Marcelo Knobel, Executive Director of The World Academy of Sciences; and Zhang Zhenfeng, Member of the Standing Committee of the CPC Zhejiang Provincial Committee and Secretary of the CPC Wenzhou Municipal Committee, attended the summit and delivered remarks. Yao Gaoyuan, Vice Governor of the Zhejiang Provincial People’s Government, presided over the first segment of the plenary session.

With the theme “Gathering Talents Worldwide to Create a Better Future,” the summit’s annual agenda is “Global Youth Action in the AI Era: Building a Sustainable Future.” It aims to draw on the insights of young people around the world, deepen international sci-tech cooperation, and jointly address questions about young people, science, the world and the future.

Efim Zelmanov, Fields Medalist and Foreign Member of the Chinese Academy of Sciences; Chen Yunji, Deputy Director of the Institute of Computing Technology, CAS, and Director of the National Key Laboratory of Processor Chips; Mary Garson, President of the International Union of Pure and Applied Chemistry; and Lu Chaoyang, Member of the Standing Committee of CAST, Executive Dean of the Shanghai Institute of Advanced Study, University of Science and Technology of China, and Chairman of the Council of the World Association of Young Scientists, delivered keynote speeches respectively on education reform in the AI era, AI and processor chips, young women scientists’ participation in science, and quantum computing. They explored new opportunities for scientific research, talent cultivation, and international cooperation in the AI era.

This year’s summit placed greater emphasis on the growth needs of young scientists, with young talents under the age of 45 accounting for 88 percent of participants. It aimed to build a cluster of international journals, bring together young scientific talent, facilitate a batch of international collaborative projects and advance the application and commercialization of scientific and technological achievements. The summit released the Report on the Distribution and Mobility of Young Scientists in the Field of Embodied Intelligence, launched the World Young Scientist Summit Partner Journal Program and the 2026 World Young Scientist Innovation and Entrepreneurship Growth Support Program. It also published the “Young Scientist Pioneers 2035” list and announced the 2026 Sustainable Development Young Scientist Award. The awards were presented to four Chinese and foreign scientists.

Chen Tianrun, Founder of Hangzhou Moxin Technology Co., Ltd.; Yuan Yang, Assistant to the Dean of the Institute for Interdisciplinary Information Sciences at Tsinghua University; and two of the 2026 Sustainable Development Young Scientist Award winners, César de la Fuente and Nicola Segata, among other Chinese and foreign young scientist representatives, spoke at the flash-talk session to share their research practices and reflections.

In addition, the conference focused on fields such as future manufacturing, quantum information, embodied intelligence, brain-computer intelligence, environmental science, deep-sea resources, and life and health, and held 12 parallel forums. It also included the “Gravitation π” Future Technology and Concept Products Exhibition and Exchange, local thematic side events, and sci-tech and humanities study visits, further building an interdisciplinary, cross-regional and cross-sector platform for youth sci-tech exchange and cooperation.

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SOURCE China Daily

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