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Dec 19, 2025

LOAS Advances Core AI Technology for Anomaly Detection in Industrial Noise with Germany's Fraunhofer IDMT

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(Back row, from left) Professor Joachim Bös, Director of Fraunhofer IDMT, and Researcher Jiwon Seo; (Front row, from left) Seokjin Hong, Director of the LOAS Research Institute at LOAS, and Principal Researcher Park Jae-seung pose for a commemorative photo during their visit to Fraunhofer IDMT. (Photo: LOAS)
(Back row, from left) Professor Joachim Bös, Director of Fraunhofer IDMT, and Researcher Jiwon Seo; (Front row, from left) Seokjin Hong, Director of the LOAS Research Institute at LOAS, and Principal Researcher Park Jae-seung pose for a commemorative photo during their visit to Fraunhofer IDMT. (Photo: LOAS)

LOAS, an AI acoustic-based industrial facility diagnostics company led by Jaehyun Lee, announced on the 19th that its Korea–Germany joint research and development project being conducted with Fraunhofer IDMT (Institute for Digital Media Technology), under the Fraunhofer-Gesellschaft, Germany’s largest applied science research organization, has been officially selected for Phase 2 of the international collaborative R&D program operated by TIPA (Korea Technology and Information Promotion Agency for SMEs).


The official title of the project entering Phase 2 is “Development of Multi-domain Feature Fusion Technology for Anomaly Detection Under Industrial Environmental Noise Conditions.” The project aims to develop next-generation core AI acoustic diagnostic technology capable of precisely detecting and classifying abnormal equipment sounds even in high-noise and mixed-noise industrial environments.


With the selection for TIPA Phase 2, the joint research between LOAS and Fraunhofer IDMT will continue for the next two and a half years, further strengthening both the technological maturity of the project and the long-term collaborative partnership between the two organizations.


This achievement is regarded as the result of close cooperation and joint technical planning between the two institutions since May 2025. It also demonstrates the strong synergy between LOAS, which possesses extensive industrial field validation data and commercialization experience, and


Fraunhofer IDMT, globally recognized for its world-class expertise in acoustic signal processing and AI research.

Fraunhofer IDMT stated, “LOAS is a partner with a very clear technological vision and strong execution capabilities in the field of industrial acoustic diagnostics,” adding, “It is a highly aligned collaboration in terms of both research direction and business vision.”


This joint research project is being conducted as part of the K-FAST Program (Korea–Fraunhofer Collaboration Hub for Science and Technology), a platform designed to systematically support scientific and technological cooperation between Korea and Germany.


Jaehyun Lee, CEO of LOAS, stated, “The selection for TIPA Phase 2 signifies that LOAS’s AI acoustic diagnostic technology has gained international recognition for both its technological competitiveness and research value.” He added, “Through collaboration with Fraunhofer IDMT, we will continue advancing global-level unmanned facility diagnostic technology capable of practically solving industrial challenges.”


Meanwhile, discussions regarding this collaboration were formally initiated on November 10, 2025, at the headquarters of Fraunhofer IDMT in Germany, where Seokjin Hong, Director of the LOAS Research Institute, and Principal Researcher Park Jae-seung met with Professor Joachim Bös to discuss future research directions and expanded collaboration plans.


Based on the results of this joint research, LOAS plans to further expand its technologies through the intelligent acoustic inspection system SMART and the robot- and drone-based unmanned facility diagnostic monitoring platform ARQOS, while accelerating global commercialization targeting the European, Middle Eastern, and Asian markets.




Source: AI Times > Reporter Jeon Mi-jun


View Full Article>>https://www.aitimes.kr/news/articleView.html?idxno=37793





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