초록 ▼

A monitoring of a vehicle interior is effected by detecting sound waves in a vehicle interior, either from an incursion source or as reflected as echo waves and decomposing the electrical signals representing those detected sound waves into measurement vectors which are compared with sample vectors

A monitoring of a vehicle interior is effected by detecting sound waves in a vehicle interior, either from an incursion source or as reflected as echo waves and decomposing the electrical signals representing those detected sound waves into measurement vectors which are compared with sample vectors in a neural network so that a correlation parameter is generated which triggers an alarm when the correlation parameter indicates incursion. The system can respond first to glass breakage before an echo system is used to then further establish the nature of the incursion.

대표청구항 ▼

A process for monitoring an interior of a vehicle against an incursion, said process comprising: (a) detecting a sound wave in an interior of a vehicle; (b) generating a time-dependent electrical measurement signal representing the detected sound wave; (c) amplifying said time-dependent electrical m

A process for monitoring an interior of a vehicle against an incursion, said process comprising: (a) detecting a sound wave in an interior of a vehicle; (b) generating a time-dependent electrical measurement signal representing the detected sound wave; (c) amplifying said time-dependent electrical measurement signal; (d) feeding the amplified time-dependent electrical measurement signal to a computer and in said computer decomposing said amplified time-dependent electrical measurement signals into discrete measured-value signals and storing said discrete measured-value signals as respective individual vectors in a memory of said computer; (e) applying each said vectors to an input of a neural network formed by said computer and processing said vector in said neural network by comparison with at least one sample vector to form a correlation parameter representing similarity of a measured-value signal vector and a sample vector; and (f) activating an alarm device by said neural network in dependence upon said correlation parameter.