The invention relates to a flame monitor (2, 2′, 2″, 2′″) for monitoring at least one sub-region (18) of a combustion chamber (1) for the presence of a flame (4), comprising: a flame sensor (16) for sensing a physical variable of a flame (4), in particular an intensity of electromagnetic radiation, and for generating an associated electrical sensor signal (26), a dual-channel analyser circuit (28, 28′, 28″), connected downstream from the flame sensor (16), for determining whether the sensor signal (26) generated by the flame sensor (16) corresponds to a flame (4) and for outputting a safety-oriented output signal (EXTS1) indicating the presence or absence of a flame (4), wherein the dual-channel analyser circuit (28, 28′, 28″) comprises: a first channel (28-1) configured to process the sensor signal (26), said channel comprising a first analogue-digital converter (32) in an analogue circuit (30), a first microcontroller (36) belonging to a digital diagnostic comparator unit (34, 34′, 34″, 34′″), for analysing a first signal obtained from the first analogue-digital converter (32), and a first relay (40) in a relay circuit (42, 42″), which relay (40) is controlled by the first microcontroller (36), and a second channel (28-2) configured to process the sensor signal (26), said channel comprising a second analogue-digital converter (44) in the analogue circuit (30), a second microcontroller (46) belonging to the digital diagnostic comparator unit (34, 34′, 34″, 34′″), for analysing a second signal obtained from the second analogue-digital converter (44), and a second relay (50) in the relay circuit (42, 42″), which relay (50) is controlled by the second microcontroller (46), wherein the diagnostic comparator unit (34, 34′, 34″, 34′″) is configured to compare a first result of analysis from the first microcontroller (36) and a second result of analysis from the second microcontroller (46) and to influence the output signal (EXTS1), depending on the result of the comparison, characterised in that the diagnostic comparator unit (34, 34′, 34″, 34′″) is configured to compare a signal (D1, D2; FB1, FB2) obtained from one of the two channels (28-1, 28-2) with an associated expected value, with the aid of both the first microcontroller (36) and the second micr

A multi-zone monitoring system is disclosed. The system includes a plurality of sensor modules configured to monitor conditions in a plurality of detection zones. The sensor modules include a combination of detection devices configured to detect different conditions based on a designated zone of each sensor module. The system further includes a reporting device in communication with each of the sensor modules. The reporting device is configured to report the status of each of the detection zones based on indications communicated via the detection devices in the corresponding detection zone.

A temperature sensing unit for a handheld heating and/or combustion torch includes a sleeve and a temperature sensor. The sleeve is configured to be removably installed around a handheld heating torch. The temperature sensor is positioned in alignment with a flame outlet of the handheld heating torch so that the temperature sensor can detect a temperature of a surface at which the flame outlet is oriented. The temperature sensing unit may also include a display and/or a battery. The battery can provide power to the display and/or the temperature sensor.

A semaphore for guiding an occupant to safety during an emergency event communicates with a gunfire detector to provide a visual cue conveying whether it is safe to proceed through an entryway in an active shooter event.

A computer system determines a likelihood of the presence of flame in a scene. The system obtains a series of digital infrared and optical images of the scene; identifies a candidate region in a location of the scene based on analysis of the infrared images; identifies an optical image slice based on analysis of the optical images and the location of the candidate region; and determines a likelihood of the presence of flame in the scene based on analysis of the optical image slice. Analysis of the infrared images includes detecting a high-temperature image region that exceeds a threshold temperature; detecting a turbulent motion image region; and determining whether the turbulent motion region is within a specified proximity of or overlaps with the high-temperature region. The optical image slice may be provided to a trained neural network, which returns a degree-of-confidence value that indicates whether flame is present.

A flame detector that includes a spacer, a UV transparent window, and a UV sensing elements. The spacer has a spacer wall that extends along a first axis between a first spacer end and a second spacer end. The UV transparent window is disposed at the first spacer end. The spacer wall and the UV transparent window define a gas space. The UV sensing elements is disposed within the gas space.

To calculate a probability of an optical sensor's irregular discharge, a light detection system includes an optical sensor, an application voltage generating circuit that applies a drive pulse voltage to the optical sensor, a discharge determining portion that detects the optical sensor's discharge, a discharge probability calculating portion that calculates a discharge probability in a first state in which light from an additional light source having a known light quantity is incident on the optical sensor or the additional light source is turned off, and in a second state in which the additional light source's turning-on/turning-off state is different from the first state and the drive pulse voltage's pulse width is the same as the first state, a sensitivity parameter storing portion that stores the optical sensor's sensitivity parameters, and another discharge probability calculating portion that calculates a discharge probability of the optical sensor's irregular discharge.

Systems and methods for debris detection and integrity validation for right-of-way based infrastructures using a neural network are provided. Further, systems and methods for detection of electrical arcs and systems and methods for fire detection using a neural network are provided.

The disclosure provides respective detection devices of a sensor array that detect infrared light and convert the infrared light into a DC component electrical signal.

A flame or gas detection method includes determining non-imaging sensor system detection state for a scene of interest, determining an imaging sensor system detection state for the scene of interest, and validating one of the non-imaging sensor system detection state and the imaging sensor system detection state with the other of the non-imaging sensor system detection state and the imaging sensor system detection state. A flame or gas detecting system detection state is then indicated at a user interface including the validated one of the non-imaging sensor system detection state and the imaging system detection state. Flame or gas detection systems and computer program products are also described.