Glass Break Detector Analog Front-End Using Novel Classifier Circuit

The paper proposed a new glass break detector analog front-end to replace simple signal threshold or signal slope threshold methods that normally trigger modern power-intensive DSP-based glass break detectors. The new front-end extracts features related to the total signal energy, high-band energy, and zero-crossings using analog circuits and inputs these into a novel analog classifier circuit that determines if a given 20 ms window of sound resulted from glass breaking. The paper presents TSMC 0.35mum SPICE system simulation results of the front-end, using actual sound files from a sound database to drive the simulations. Through these simulations the authors shows the utility of using analog circuits for both feature extraction and classification. Using a developmental database of glass break sounds and non-glass break sounds that includes the categories of noise, music, and speech, the analog front-end has 100% testing accuracy.