- Motor noise
- Connector Clicks
- Assembly connector fastening sound
- Glass breakage and scratch
- Semiconductor component equipment wear sound
- Robot equipment abnormal sound
- Large engine drive-unit sound
- Pressure valve abnormal sound
- Normal motor sound
- Actuator
- GearNoise
- Grinding
- Vibration
- BearingNoise
- Harness Locking
- Cavitation
- NVH
Five motor stages from normal to defect
Compare how rotating equipment sound moves from normal operation into anomaly stages on one waveform baseline
- 000%
Normal motor sound
The reference sound from normal rotation
- 0125%
Early anomaly sound
Small friction signals begin to appear over the normal tone
- 0250%
Mid anomaly sound
Repeated noise and rotational deviation become clearer
- 0375%
High-risk anomaly sound
A rough pattern stands apart from the normal range
- 04100%
Maintenance review sound
An abnormal sound that may require maintenance or replacement
Two connector fastening clicks
Review locking sounds and fastening-state clicks separately from motor sound
- A
Connector click A
Compare the clear locking sound from normal fastening
- B
Connector click B
Separate soft fastening and missed-fastening possibilities
Industrial demo video
A video slot for showing the inspection flow and result screen together
How accurate is sound-based defect inspection on a production line?
Listen AI Industrial reports 99.87% accuracy on assembly-line connector engagement sound inspection, measured on global automaker Company H production lines in Korea and Mexico and published in a June 11, 2026 press release. Rotating-equipment noise inspection is separately reported at 99.78% accuracy with sub-second inspection time in earlier industrial coverage. The two figures cover different inspection types and measurement scopes, so they are not combined into a single claim.
Does it still work in a loud factory environment?
Yes. Listen AI Industrial is designed for environments above 85 dB where impact wrenches, air guns, metal friction, and conveyor belts overlap. Deeply’s proprietary Foundation Model is built on more than 2.1 million hours of real-world factory noise data and more than 10 million process event data points, which lets it separate the faint engagement sounds workers previously judged by ear or fingertip from the surrounding noise.
How does connector engagement inspection decide between OK and NG?
It decides through Frequency-band Analysis. Listen AI Industrial distinguishes the Primary Lock in the 3–16 kHz band and the Secondary Lock in the 7–16 kHz band, then returns an OK or NG result. This is what catches half-clicks and soft connections that never fully engaged.
Can it integrate with our existing MES and PLC systems?
Yes. Listen AI Industrial links inspection history to a MES (Manufacturing Execution System) or PLC so results are retained as traceable data. Deployment is supported as an edge analysis server setup or on-premise.
Which inspection types does it cover?
The three core Listen AI Industrial solutions are rotating-equipment noise inspection, assembly-line connector engagement sound inspection, and equipment aging detection. Deployed cases also cover glass breakage and scratch detection, semiconductor component wear diagnosis, robot equipment aging analysis, large engine drive-unit aging analysis, and gas and pressure valve sound analysis.
How does a deployment start?
It starts with a PoC. Once the hardware is installed and engagement or operating sounds are collected from the target equipment, initial evaluation can begin on top of Deeply’s Foundation Model. PoC results then carry into production-line deployment.