Honeywell International Inc.

Vsk Electronics Nv

Vision Fire & Security Pty Ltd

Matthew John Naylor

Jörg Tilkin

Scott Lang

Gerdy Maelbrancke

Marco Di Nubila

Philippe Cornez

Johnny Julien De Blonde

Uroj Usmani

Domenico De Lellis

Luc Roels

Philippe Pignatta

Ali Bas

Eniko Palfi

Andrew Davis

Federico Montagni

Matthew Paul Fettke

Neil Cameron Thatcher

Yves Neuhaus

Thomas Goulet

A thermographic detector device for a fire alarm control system is described herein. In some examples, one or more embodiments include a thermography camera configured to capture a thermal image within a field of view of the thermographic detector device, a memory and a processor to execute instructions stored in the memory to detect a fault associated with the thermographic detector device, wherein the fault includes at least one of a field of view fault, an operating parameter fault, and an internal fault, generate a fault signal upon detecting the fault, and provide a notification of the fault using the fault signal.

Thermographic detector device for a fire alarm control system

A control panel for a fire alarm control system is described herein. In some examples, one or more embodiments include a memory and a processor to execute instructions stored in the memory to receive a fault signal from a thermographic detector device, wherein the fault signal corresponds to a fault associated with the thermographic detector device, wherein the fault signal is associated with at least one of a field of view fault, an operating parameter fault, an internal fault, and a transmission fault, and provide a notification of the fault using the fault signal.

Control panel for processing a fault associated with a thermographic detector device of a fire alarm control system

The invention relates to a method of processing a video, including: receiving a video of a scene being monitored; generating a second video, including one or more video frames, which non-photorealistically represents the scene being monitored; analysing at least the video of the scene being monitored to determine the presence of a threat within the scene; and in the event that a threat is detected within the scene, determining metadata in relation to the threat and representing said metadata in the second video.

Protection of privacy in video monitoring systems

A method and system of intrusion detection, which includes displaying sensing device output data as an image of a field of view of a sensing device. Through interaction with a GUI: a user input defines an image detection area in relation to the image of the field of view, the image detection area being correlated to a detection area to be monitored for intrusion detection. A user input defining a detection vector in the image detection area is received, specifying a predetermined minimum displacement and displacement direction in the field of view. A graphical representation of the vector may be displayed on the image detection area. A target object is detected and tracked through the detection area and it is determined whether the progressive displacement of the target object has a component exceeding the minimum displacement in the direction of the vector.

Intrusion detection with directional sensing

An intrusion detection system comprises at least two detectors. Each detector is configured to produce a detection output. At least one information module is configured to produce metadata that relates to the performance of one or more of the at least two detectors. An analysis module is configured to produce a combined alarm signal. The combined alarm signal is a function of the plurality of detection outputs from the at least two detectors and the metadata. The metadata may include information relating to adverse conditions that reduce detection performance of one or more of the detectors. The at least two detectors preferably include at least one video motion detector and a passive infrared detector.

Intrusion detection with motion sensing

Method and apparatus for detecting change of an object state from an initial state where the object is displayed in a plurality of sequential images. The system involves comparing a measure over a predetermined portion of each of the images corresponding to an object's initial state with a reference value of the measure computed when the object is in the initial state to generate a comparison value for each of the images and then generating a signal indicating that the object state has changed when a predetermined number of the comparison values generated for each of the images do not meet a predetermined criterion.

System and method for detecting a change in an object scene

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Myrtle Bank, Australia

Matthew John Naylor