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E8, Unveils Smart Factory Solution Integrating Generative AI Technology

EAIT showcased a smart factory solution incorporating generative AI technology at the AI Autonomous Manufacturing Innovation Forum held at COEX on the 28th.


On the 18th, NVIDIA, the world's largest GPU manufacturer, announced the provision of the NVIDIA Omniverse Cloud API at 'GTC 2024,' stating that "every manufactured product will have a digital twin applied," drawing significant attention to the application of digital twin technology in manufacturing.


EAIT is building a smart factory that not only monitors through synchronization but also predicts and controls problem situations through simulation. By using international data standards, it ensures universal compatibility domestically and internationally and facilitates scalability between different systems. Cloud support makes service deployment and expansion convenient, and the platform delivers data timely and appropriately, enabling seamless data connectivity.


Digital twin technology can be linked across the entire manufacturing industry, including Product Lifecycle Management (PLM), Supply Chain Management (SCM), and Enterprise Resource Planning (ERP). Optimizing manufacturing processes through digital twin technology can increase productivity, quality, and efficiency while reducing costs and energy consumption.


EAIT introduced specific collaboration with PIX4D, a Swiss drone mapping software company recently partnered with. PIX4D automatically builds 3D models by recognizing surfaces, lines, and intersections from drone and smartphone footage of designated areas. The captured images automatically include GPS data, and by utilizing automated 3D modeling technology, the speed of smart factory construction can be accelerated and accuracy improved.


Ryu Su-young, Executive Director and Head of EAIT’s Platform Division, stated, "Through a digital twin-based smart factory, we will implement a smart factory system capable of autonomous decision-making by monitoring, analyzing, and evaluating asset performance and condition, as well as integrating financial information."


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