Apparatus and method for detecting glass break
US6493687B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 18, 1999 |
| Grant date | Dec 10, 2002 |
| Priority date | — |
| Expiry date | Dec 18, 2019 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08B29/24
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A glass break detector is disclosed that uses a neural network to determine if an audio signal is breaking glass. A characteristic extraction unit is used to extract a set of signal characteristics from a time domain signal based on the audio signal. The set of signal characteristics is the set of the magnitudes of the discrete Fourier transform coefficients of an acquired time domain signal, or the Fourier transform coefficients themselves. A classifier is connected to the characteristic extraction unit. It is a two-layer neural network that uses the set of signal characteristics to accurately determine whether the acquired time domain signal represents breaking glass.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.