A position-sensitive ionizing-particle radiation counting detector includes a first substrate and a second substrate generally parallel to the first substrate and forming a gap with the first substrate, with a discharge gas contained within the gap. The detector includes a first electrode electrically coupled to the second substrate, and a second electrode electrically coupled to the first electrode and defining at least one pixel with the first electrode. The detector further includes an open dielectric structure pattern layered over one of the first or second electrodes and a current-limiting quench resistor coupled in series to one of the first or second electrodes. The detector further includes a power supply coupled to one of the first or second electrodes and a first discharge event detector circuitry coupled to the one of the first or second electrodes for detecting a gas discharge counting event in the electrode.

Monitoring and mass notification systems, such as fire alarm systems, for use in occupied structures, and more particularly to wireless monitoring and mass notification systems include wireless base units that can be modular in design. This allows horns, mini horns, strobes, and audio messaging modules (e.g., speakers) to be physically plugged into the wireless base unit creating a unit with the appearance of a single physical unit. Preferably standardized plugs are used. In some cases, visual and audio modules (i.e., notification devices) have their own battery pack or external power interface. Each wireless base unit can optionally function as a repeater if it has dual transceivers (master transceiver and slave transceiver).

A gas detection device has at least one functional device (1, 13), which is configured to receive radiation (10) passing through a defined monitoring area (4). At least one analysis unit (9, 19) is configured to detect and analyze a change in the received radiation (10). The received radiation (10) is based on the interaction of the radiation (10) with a gas present within the monitoring area (4). At least one camera (8) has a field of view (11) that at least partially detects the monitoring area (4).

An emergency sensor system comprising: a plurality of environmental sensors; a local monitoring station (LMS) connected to each of the plurality of environmental sensors, the LMS comprising a transceiver, a processor, and a memory having stored thereon instructions that, when executed by the processor, control the processor to execute a method comprising: receiving, from at least one of the plurality of environmental sensors, sensor data indicative of an environmental state proximate the at least one environmental sensor, analyze the sensor data, and output, to a remote responder system, an alert based on the sensor data.

An emergency manager for a lighting device (1), which lighting device is configured to transmit information by coding its output light. The emergency manager has a light coding unit (5), configured to code light emitted by a light emitter (3), thereby enabling the light emitter to emit a coded light signal including an individual identifier identifying the lighting device; an emergency indicator (7); and a control unit (9). The control unit is configured to control the light coding unit to adjust the coded light signal to increase a robustness of a transmission of the coded light signal upon receiving an emergency indication from the emergency indicator.

An information handling system comprising a storage device for receiving a first infrared image and a second infrared image of a temperature observation area captured from a first infrared camera, each infrared image having a segmented field of view, wherein the segmented field of view of the first infrared image overlaps at least in part the segmented field of view of the second infrared image and wherein the network adapter receives temperature recording data from a first remote point source temperature probe located within at least one of the segmented fields of view and processor is operatively coupled to the memory and network adapter and executes code instructions of an image-stitching module for calibrating the first infrared image based on temperature values from the temperature recording data received from the first remote point source temperature probe and stitches the first infrared image together with the second infrared image to create a first combined infrared image by detecting one or more shared isotherms in each of the infrared image and the second infrared image.

A solution for monitoring an area for the presence of a flame and/or a leak, such as from a pressurized fluid, is provided. An imaging device can be used that acquires image data based on electromagnetic radiation having wavelengths only corresponding to at least one region of the electromagnetic spectrum in which electromagnetic radiation from an ambient light source is less than the electromagnetic radiation emitted by at least one type of flame for which the presence within the area is being monitored. An acoustic device can be used that is configured to acquire acoustic data for the area and enhance acoustic signals in a range of frequencies corresponding to a leak of a pressurized fluid present in the area.

The invention relates to a machine learning system (10) which is configured, on the basis of a plurality of images captured in succession, to detect smoke (12) within the images. The machine learning system (10) comprises a convolutional recurrent neural network. The invention also relates to a method for detecting smoke by means of this machine learning system.

A fire suppression system includes an interface control module, and an interface module. The interface control module can activate a fire suppressant discharge system in response to receiving a fire detection signal. The interface module is connected with the interface control module and is connected with at least one of a first optical sensor and an interface expansion module. The interface expansion module is configured to connect with a second optical sensor. The first optical sensor and the second optical sensor are configured to detect a fire condition at an area of interest and provide the first detection signal to the interface control module in response to detecting the fire. The interface module includes light emitting devices corresponding to the first optical sensor and the interface expansion module, the light emitting devices configured to display different colors indicating a status of the first optical sensor and the interface expansion module.

A fire suppression system includes an interface control module, and an interface module. The interface control module can activate a fire suppressant discharge system in response to receiving a fire detection signal. The interface module is connected with the interface control module and is connected with at least one of a first optical sensor and an interface expansion module. The interface expansion module is configured to connect with a second optical sensor. The first optical sensor and the second optical sensor are configured to detect a fire condition at an area of interest and provide the first detection signal to the interface control module in response to detecting the fire. The interface module includes light emitting devices corresponding to the first optical sensor and the interface expansion module, the light emitting devices configured to display different colors indicating a status of the first optical sensor and the interface expansion module.