There is provided a tamper detection device comprising a laminate; a contact lead attached to the laminate; and a detection module connected to the contact lead. It is advantageous that the laminate is configured to conform to an application surface, and to move the contact lead. A method of installing the device is also disclosed.

A glazing having a device for detecting a crack in the glazing comprises a sensor, substantially circumscribing a ply of glazing material. A surface contact, bonded to the glazing, is configured with a portion of the sensor to form a capacitive coupling for transferring AC signals in a frequency range. Preferably the sensor is frangible and voltage may be applied by a second surface contact. Alternatively, the glazing further comprises an electrically resistive element, such as a coating for heating the glazing, and voltage may be applied to the sensor by a spur from a busbar such that damage to coating, busbar or sensor resulting in arcing is detectable at the surface contact. An electronics module attached to the surface contact generates an alarm.

A glazing having a device for detecting a crack in the glazing comprises a sensor, substantially circumscribing a ply of glazing material. A surface contact, bonded to the glazing, is configured with a portion of the sensor to form a capacitive coupling for transferring AC signals in a frequency range. Preferably the sensor is frangible and voltage may be applied by a second surface contact. Alternatively, the glazing further comprises an electrically resistive element, such as a coating for heating the glazing, and voltage may be applied to the sensor by a spur from a busbar such that damage to coating, busbar or sensor resulting in arcing is detectable at the surface contact. An electronics module attached to the surface contact generates an alarm.

A glass breakage detection method, constituted of: receiving a plurality of audio samples; estimating low frequency power values of the received plurality of audio samples; estimating wide band power values of the received plurality of audio samples; responsive to the estimated wide band power values, determining an amplification value; responsive to the estimated low frequency power being greater than a predetermined threshold, amplifying a function of the received plurality of audio samples by the determined amplification value; comparing the amplified function with a predetermined function of sound of breaking glass; and outputting an indication of the comparison.

A glass breakage detection method, constituted of: receiving a plurality of audio samples; estimating low frequency power values of the received plurality of audio samples; estimating wide band power values of the received plurality of audio samples; responsive to the estimated wide band power values, determining an amplification value; responsive to the estimated low frequency power being greater than a predetermined threshold, amplifying a function of the received plurality of audio samples by the determined amplification value; comparing the amplified function with a predetermined function of sound of breaking glass; and outputting an indication of the comparison.

An integrated system includes a system user interface (SUI) that provides an iconic, at-a-glance representation of integrated security system status. The SUI is for use across all client devices including mobile or cellular telephones, a mobile portal, a web portal, and a touchscreen device. The SUI includes a number of display elements presented across all types of client devices for monitoring status of the integrated security system. The display elements of the SUI include an orb icon, text summary, security button, device warnings, system warnings, interesting sensors, and quiet sensors. The SUI thus provides system status summary information agnostically across all clients. Additionally, the SUI provides consistent iconography, terminology, and display rules across all clients as well as consistent sensor and system detail across clients.

An integrated system includes a system user interface (SUI) that provides an iconic, at-a-glance representation of integrated security system status. The SUI is for use across all client devices including mobile or cellular telephones, a mobile portal, a web portal, and a touchscreen device. The SUI includes a number of display elements presented across all types of client devices for monitoring status of the integrated security system. The display elements of the SUI include an orb icon, text summary, security button, device warnings, system warnings, interesting sensors, and quiet sensors. The SUI thus provides system status summary information agnostically across all clients. Additionally, the SUI provides consistent iconography, terminology, and display rules across all clients as well as consistent sensor and system detail across clients.

A security system is described for managing a premises. The security system comprises security system components and a first controller. A takeover component receives security data of the security system from the first controller. The security data is used to configure a second controller to communicate with the security system. The second controller communicates with the security system components and replaces the first controller in management of the security system.

It is provided a method for classifying vibrations detected in a structure of a building. The method is performed in a vibration classifier and comprising the steps of: determining a measurement period of a vibration signal; splitting the measurement period in a plurality of sequential sub-periods; calculating, for each one of the sub-periods, a variation indicator of at least one component of the vibration signal; and classifying a source of the vibration signal based on the variation indicators.

It is provided a method for classifying vibrations detected in a structure of a building. The method is performed in a vibration classifier and comprising the steps of: determining a measurement period of a vibration signal; splitting the measurement period in a plurality of sequential sub-periods; calculating, for each one of the sub-periods, a variation indicator of at least one component of the vibration signal; and classifying a source of the vibration signal based on the variation indicators.