We Serve Companies that want to Improve Product Quality and Reduce Warranty Costs by

• Improving noise related quality control
• Identifying Defects through noise signatures

By Providing

• Custom software for in-line testing which eliminates background noise and provides a cost effective alternative to an acoustic enclosure

Noise Quality Control Testing in the presence of background noise provides a cost effective way to pass/fail noisy products

Advantages

• No need for an enclosure
• Fast test cycle times
• SPL spectra of direct sound from a target
• Suitable for low signal to noise ratios (up to S/N = -20dB)
• Few microphones
• Ability to detect defect signatures

Requirements

• 'Training' with respect to a 'good product'
• 'Training' with respect to ambient noise levels
• 'Training' with respect to defect signatures (if required)

The system is trained to know three things: what a “good� product sounds like, some idea of the average ambient noise, and what defects sound like, if defect detection is desired. SenQC standard software provides software wizard guided training modules for each step of the training process.

SenQC is then able to de-noise the signal in order to provide an accurate representation of the sound output of the object being tested and to enable non-contact defect detection by enabling the identification of specific defect signatures. In a production environment, this testing is automated.

This is a completely automated process. After acquiring data for some known good and some known defective products, the user tags the datasets for the defective products with specific defect names. The software automatically scans these datasets to identify frequency bands that provide the best separation between the SPL spectra of all known good products and those with specific defects.