LG Innotek, led by CEO Moon Hyuksoo, has implemented AI technology to significantly reduce defect rates and enhance efficiency in manufacturing high-spec camera modules. The AI-driven process has streamlined production, leading to economic benefits and paving the way for further applications in semiconductor manufacturing.
LG Innotek Employs AI to Enhance Camera Module Production Efficiency
Seoul, South Korea, June 10, 2024 — LG Innotek, under the leadership of CEO Moon Hyuksoo, announced significant developments in their camera module manufacturing processes facilitated by AI technology. The company revealed that they have achieved a substantial reduction in defect rates for high-spec camera modules, bolstering their position in the global market.
Challenges in High-spec Camera Manufacturing
In the manufacturing sector, particularly in the production of advanced camera modules, ensuring a high initial yield is critical. Low yields in the initial phases of production often lead to increased costs and delays, undermining profitability and customer confidence. Traditional methods rely heavily on extensive simulations and tests to refine the manufacturing ‘process recipe’, ensuring products meet quality standards. This lengthy process can increase the F-Cost, which refers to the expenses incurred to rectify defects post-mass production, and can ultimately delay product delivery times.
AI Integration in Manufacturing
To address these challenges, LG Innotek initiated the development of an AI-driven process in 2021 aimed at predicting and preventing defects throughout the production stages. The AI systems have been designed to analyse various factors critical to manufacturing—such as machinery strength, conveyor belt speed, and indoor temperature—to devise an optimal process recipe. Last year, LG Innotek successfully implemented this ‘AI process recipe’ to produce a high-spec camera module, marking a pioneering move in the industry.
Impact of AI on Defect Rates and Production Efficiency
The AI system employed by LG Innotek has been trained on tens of millions of data points, significantly enhancing its predictive accuracy. As a result, the company reports a reduction in defect rates for key inspection items by up to 90%. Moreover, the time required to develop a new process recipe has been reduced from over 72 hours to just 6 hours, allowing for quicker adjustments and less reliance on sample testing typically based on engineers’ intuition.
This improvement is particularly relevant as consumer demands incline toward slimmer, lighter, and higher performing smartphone cameras. The AI-driven method addresses the complexities and precision required in manufacturing ultra-slim, high-specification camera modules, thus streamlining the production process.
Economic Benefits and Future Applications
In the first quarter of 2024, LG Innotek saw a 21.1% increase in operating profit from the previous year, amounting to USD 128 million. The application of the AI process not only stabilised early yields but also enhanced cost competitiveness.
Looking forward, LG Innotek plans to incorporate this AI technology into semiconductor substrate manufacturing within the year. The company aims to leverage AI to improve yields across a broader range of products, thereby further solidifying their market position.
CEO Moon Hyuksoo stated, “Our objective is to advance digital manufacturing methods through AI technology, establishing LG Innotek as a top global technology innovation company. This will support our customers in achieving leadership in technology, quality, and manufacturing capabilities.”
These advancements reflect an ongoing trend in the tech industry where companies increasingly rely on artificial intelligence to streamline production and reduce costs, thereby enhancing operational efficiency and maintaining competitive advantage in a rapidly evolving market.
