Glass break detector

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Passive glass break detector

A glass break detector is a sensor that detects if a pane of glass has been shattered or broken.[1] These sensors are commonly used near glass doors or glass storefront windows. They are widely used in electronic burglar-alarm systems.

In simplest terms, an Acoustical Glass Break Detector (AGBD) is an electronic alarm sensor that is specifically designed to detect the sounds made from the breaking of a glass window. While devices may vary from manufacturer to manufacturer, most typically detect a sound signature. This often includes an inaudible lower frequency or infrasonic sounds along with the sharp, brittle sounds that are commonly heard. The sound sensor needs to identify a special pattern of both frequencies. Although most sound detectors function similarly, the variations in design and signal processing can have important implications in practical applications. [2][3]

The detection process begins with a microphone that picks up noises and vibrations coming from the glass. If the vibrations exceed a certain threshold (which is sometimes user selectable), then they are analyzed by detector circuitry. Simpler detectors merely use narrowband microphones tuned to frequencies typical of glass shattering. These are merely designed to react to sound magnitudes above a certain threshold, whereas more complex designs analytically compare the sound to one or more glass-break profiles using signal transforms similar to DCT and FFT. These digitally sophisticated detectors only react if both the amplitude threshold and statistically expressed similarity threshold are breached. Advances in technology have also led to the use of wireless glass-break detectors.[4]

See also[edit]


  1. ^ Barnard, Robert (1998). Intrusion Detection Systems. Elsevier. pp. 195–196. ISBN 9780750694278.
  2. ^ Dolph, Bob. "Tips for Installing and Testing Acoustical Glass-Break Detectors".
  3. ^ "Security Systems Sunshine Coast". Thursday, 29 April 2021
  4. ^ "How Do Glass Break Sensors Work". The Daily Secure. Retrieved 2020-11-17.