LG CNS Showcases Smart Factory Technology at U.S. IoT Tech Expo

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By Kim Tae-ho
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Visitors listen to a briefing on "Factova," LG CNS's AI-powered smart factory solution, at the company's booth during IoT Tech Expo 2026 in San Jose, U.S., on the 18th (local time). Photo courtesy of LG CNS - Seoul Economic Daily Technology News from South Korea
Visitors listen to a briefing on "Factova," LG CNS's AI-powered smart factory solution, at the company's booth during IoT Tech Expo 2026 in San Jose, U.S., on the 18th (local time). Photo courtesy of LG CNS

LG CNS (064400.KS) announced that it was the only Korean company to participate in the "IoT Tech Expo 2026," held in San Jose, U.S., from the 18th to the 19th local time. The IoT Tech Expo is an annual event that draws around 200 global information technology (IT) and manufacturing companies and approximately 8,000 industry officials each year.

At this year's exhibition, LG CNS introduced its smart factory integrated brand "Factova" to global companies. Factova is a solution that optimizes production operations by applying technologies such as AI, big data, and IoT across the entire manufacturing process. LG CNS supports small and mid-sized manufacturing companies in adopting Factova, which has been proven at large-scale manufacturing sites. Its flagship solution is "Factova MES," the core of smart factory implementation. Factova MES is a manufacturing execution solution that integrates and manages the entire manufacturing flow. AI collects and analyzes data from manufacturing sites in real time to reduce inefficiencies in the production process and optimize factory operations.

LG CNS also unveiled "Factova Control," which integrates and manages production equipment data. Factova Control is a solution that collects, standardizes, and integrates control of production equipment data from different manufacturers in real time. It can be easily linked with upper-level operating systems within the factory, such as MES. It enhances production stability through AI-based equipment anomaly detection and failure prediction capabilities.

LG CNS also introduced solutions for industries that require ultra-precision process management, such as semiconductors, displays, aerospace, and medical devices. Using fault detection and classification (FDC), statistical process control (SPC), and out-of-control action plan (OCAP) solutions, manufacturers can predict process defects in advance and maximize production yield through data-based process optimization.

In addition, the company demonstrated its "Gen AI Safety Environment" service. When on-site workers take photos of accidents using a smartphone app and leave voice memos, generative AI analyzes them and automatically registers accident information in the system. It also provides initial response guidelines by referencing past similar cases. As the importance of safety and environmental management at manufacturing sites grows, this service also drew the attention of visitors.

Original reporting by Kim Tae-ho for Seoul Economic Daily.

AI-translated from Korean. Quotes from foreign sources are based on Korean-language reports and may not reflect exact original wording.

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