[Case Study on Smartphone Noise Analysis] ONKYO
Detecting tool wear through sound! A case study of smartphone abnormal noise analysis supporting team leaders in small-batch, diverse production.
We will introduce a case study that improved operational efficiency and quality. There were challenges related to relying on the intuition of skilled workers for decision-making and skill transfer, as well as responding to tool damage and equipment downtime. However, by implementing this case study, we were able to record the judgments of skilled workers, thereby preventing troubles and enhancing productivity. It is possible to measure immediately in the necessary locations by simply carrying a smartphone and a microphone, allowing for trial implementation without large-scale equipment construction. [Challenges] - Tool damage and equipment downtime occurred due to reliance on human intuition. - It was difficult to address skill transfer and prevent equipment troubles. *For more details, please refer to the related links or feel free to contact us.*
basic information
【Flow until introduction】 ■1. Hearing: Confirmation of target sound and vibration, organization of operation methods ■2. Analysis: Analysis of sound and vibration characteristics and trends ■3. Design: Design of collection and analysis methods ■4. Proposal: Proposal of suitable systems *For more details, please refer to the related links or feel free to contact us.
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For more details, please refer to the related links or feel free to contact us.
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Onkyo Corporation is a company with a long history of selling audio products, including amplifiers, speakers, home theaters, headphones, and AV receivers. We will leverage the brand licenses of value and trust that we have provided, pursue further value in music through the sale of entertainment products, and utilize the "sound" technology we have cultivated to solve social issues in various fields. We offer a wide range of corporate services, from the sale of collaborative model audio products to the analysis of biological sounds, traffic surveys through vibration analysis, and visualization of communication through voice recognition.

