[Abnormal Sound Inspection Case] Onkyo

Quantifying abnormal sound inspections relying on the ears of skilled inspectors using smartphones and AI! A case study that achieved standardization of inspection quality.

We would like to introduce a case study on the quantification of abnormal sound inspection at Onkyo. Traditionally, subjective sensory inspections have relied solely on the experience of the inspectors, leading to challenges in skill transfer, sharing of judgment criteria, and standardization of inspection quality. By using a smartphone and microphone to collect and store operational sounds and abnormal noises from the products under inspection, we conducted analysis and abnormal sound judgment using AI. We established an abnormal sound judgment flow utilizing data from normal and abnormal sounds, and by combining sound data with the judgments of skilled inspectors, we built an inspection system that does not rely solely on the experience of the inspectors. The transition to data-driven inspections has achieved standardization of inspection quality and improved quality traceability. [Challenges] ■ Subjective sensory inspections relied on the ears of skilled inspectors. ■ There was a need to establish an inspection system that does not depend solely on the experience of the inspectors and to facilitate skill transfer. *For more details, please refer to the related links or feel free to contact us.

Other inspection equipment and devices