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Hyundai Mobis utilises Acoustic AI system to examine product quality at one unit per second - ELE Times

Hyundai Mobis utilises Acoustic AI system to examine product quality at one unit per second - ELE Times
Acoustic AI depicts a new generation of artificial intelligence technology, different from generative AI, which depends on language for Q&A tasks

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Hyundai Mobis Completes Pilot Implementation of Acoustic AI-Based Inspection System

Hyundai Mobis recently announced the completion of the pilot implementation of an acoustic AI-based inspection system at its Changwon plant, which produces EPS. This new generation of artificial intelligence technology, known as acoustic AI, is designed for industrial applications, particularly in smart factories. The system aims to expand beyond the Changwon plant to other component production lines, focusing on parts such as braking systems that naturally produce noise during operation.

Choi Nak-Hyun, Vice-President and Head of Digital Transformation at Hyundai Mobis, emphasized the pioneering standard set by this initiative for process innovation within the automotive sector and the global manufacturing industry. The company is committed to introducing unique AI-driven technologies for production, research and development, and workplace environments.

The acoustic AI system at the Changwon plant is capable of recognizing defective products at a rate of one unit per second, with the production process consisting of 23 stages, from component assembly to vibration and noise inspection. This is a significant development for Hyundai Mobis, as the direct influence of EPS on steering performance and safety requires thorough quality checks.

The successful development of Acoustic AI is the result of extensive collaboration with on-site engineers, production technology experts, and AI specialists, leading to the effective differentiation of defective products and the identification of their underlying causes. Hyundai Mobis aims to enhance the application of acoustic AI in the manufacturing sector, with anticipated further improvements in accuracy for this trained AI.

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