Monitoring bolt tightness using percussion and machine learning

This invention describes a way to check if bolts are tight or loose. It involves tapping a bolt with an impact device, like a hammer, and recording the sound it makes. A computer then analyzes specific frequency patterns in that sound to determine the bolt's tightness.

Why it matters: Machine learning for acoustic analysis is far more accessible now. This makes developing the required models much easier than in 2019.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedMachine learning model, signal processing, acoustic sensor

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