Abstract: A system and method for a drift reset circuit for updating the input offset voltage in an ionization smoke detector are disclosed. The method may include monitoring an ionization chamber of a smoke detector for an alert. The method may also include periodically powering on a drift reset circuit to update an input offset voltage of an operational amplifier. The method may additionally include outputting the input offset voltage to the operational amplifier. The method may further include powering off the drift reset circuit.

Abstract: An apparatus may have a light fixture including a housing and a light element located within the housing. The apparatus may also include a face plate coupled to the light fixture. The apparatus may further include a detector. The detector may be coupled to the housing at a location behind a back surface of the face plate.

Abstract: A system and method for a high temperature strain gauge are disclosed. The system may include a mechanical component. The system may also include a strain gauge to measure a strain of the mechanical component. The strain gauge may include a first end of a first support leg mounted on the mechanical component. The strain gauge may also include a first end of a second support leg mounted on the mechanical component opposite the first support leg. The second support leg may be symmetric to the first support leg and have a size substantially similar as the first support leg. The strain gauge may also include a strain sensor between a second end of the first support leg and a second end of the second support leg.

Abstract: A system and method are provided for monitoring a factory, comprising during a training period of time, training a machine learning model with training data including a plurality of known spectral representations each of which is designated in the training data as normal or abnormal; and during an operating period of time receiving a first audio sample from a first microphone in an array of microphones suspended above a plurality of mechanical devices, generating a first spectral representation from the first audio sample, providing the first spectral representation to the machine learning model, and determining that the first spectral representation is abnormal.

Abstract: Various embodiments of the teachings herein include a system comprising: a thermoelectric generator to convert heat into electrical power; and an output device. The electrical power from the thermoelectric generator powers the output device.

Abstract: A system includes a first sound detection device control circuitry including a processor and at least one memory device storing logic instructions executable by the processor to perform a process to locate the first sound detection device, including (a) testing a first location for the first sound detection device by receiving sound data generated by the first sound detection device at the first location, analyzing the sound data to identify sound generated by a first sound-generating object, and analyzing a quality of the first location based on the analysis of the sound data, and (b) based on the analyzed quality of the first location, outputting a user notification including at least one of (a) an instruction to relocate the first sound detection device or (b) an instruction to add a second sound detection device in the defined space.

Abstract: An apparatus includes a control circuit to connect to an audio device of a safety system. The safety system is to detect a hazardous condition. The audio device is to alert a user of the hazardous condition. The safety system is to include a sensor to sense the hazardous condition. The apparatus includes an interface to connect the control circuit to the audio device. The control circuit is to determine whether to clean a housing of the sensor and, based on a determination to clean the housing of sensor, cause the audio device to vibrate or issue sound waves at an inaudible frequency.

Abstract: Systems and methods for imaging a crop field, probing soil of a location of the field based on the imaging of the field to obtain diagnostic data, sampling soil of a location of the field based on the imaging of the field; and spraying the field based on the imaging of the field, the probing soil, or the sampling soil. A system uses a tractor having a spray system, a drone having a tool deployment module comprising a reel and a line, a drone launch pad comprising an imaging module attachable to and detachable from the line, a probing module attachable to and detachable from the line, a sample collection module attachable to and detachable from the line, and drone batteries, a controller to receive diagnostic data from the imaging module, the probing module, or the sample collection module, and to transmit spray instructions to the spray system.

Abstract: Various examples of the teachings herein include monitoring systems. An example system includes: a housing defining an internal test chamber; a sensor element exposed to the internal test chamber to generate a signal representing an illuminance; one or more passageways allowing air flow into the internal test chamber from a surrounding area; and a shroud blocking entrance of light into the internal test chamber through the one or more passageways along a dominant interference path to reduce noise in the illuminance signal.

Abstract: A system and method for noise suppression using signal strength ratio metric modulated light are disclosed. The system may include a light source, a light sensor, and a control circuit. The control circuit may be to generate a signal strength ratio metric modulated signal at a modulation depth. The control circuit may also be to send the signal strength ratio metric modulated signal to the light source to cause the light source to emit a signal strength ratio metric modulated light beam. The control circuit may additionally be to receive a reflected light signal from the light sensor. The reflected light signal may include a signal indicative of a reflection of the signal strength ratio metric modulated light beam and a signal indicative of a noise light.

Abstract: A system and method for the use of digital analysis to filter out extraneous light are disclosed. The system may include a light source to emit a light beam in a smoke detector. The system may include a first light sensor in the smoke detector to receive a reflected light beam corresponding to the light beam reflecting off a smoke particle. The system may include a second light sensor in the smoke detector to receive a noise light corresponding to ambient light in the smoke detector. The system may include a control circuit. The control circuit may be to receive the reflected light signal from a first light sensor indicative of the reflected light beam and to receive a noise signal from the second light sensor indicative of the noise light. The control circuit may be to reduce noise from the reflected light signal based on the noise signal.

Abstract: A hazard detection device includes a housing structure separating a first space from a second space, and including housing structure aperture(s) allowing airflow between the first space and second space. A first temperature sensor device is arranged in the first space to generate first sensor data indicating a first space temperature in the first space, and a second temperature sensor device is arranged in the second space to generate second sensor data indicating a second space temperature in the second space. The hazard detection device includes control circuitry to receive the first sensor data from the first temperature sensor device and the second sensor data from the second temperature sensor device, monitor a temperature difference between the first space temperature indicated by the first sensor data and second space temperature indicated by the second sensor data, identify an alert condition based on the monitored temperature, and output an alert notification.

Abstract: A system and method for a photoelectric smoke detector using polarized light is disclosed. The system may include a light source to emit a beam of light at a polarity of interest. The system may also include a light sensor to detect a reflection of the beam of light at the polarity of interest. The system may additionally include a control circuit communicatively coupled to the light sensor. The control circuit may be to detect a presence of smoke and raise a smoke alarm signal. The polarity of interest may be based on an angle of incidence between the light source and the light sensor.

Abstract: Various embodiments of the teachings herein include a monitoring system. An example includes: a housing defining an internal test chamber; one or more passageways allowing air flow into the internal test chamber from a surrounding area; a source of compressed gas; an air channel in the housing to direct gas from the source of compressed gas to dislodge contaminants in the one or more passageways; an actuator to activate the source of compressed gas; and a controller to operate the actuator.

Abstract: Some examples of the teachings herein include a system comprising: a first housing defining an internal test chamber; a plurality of passageways allowing air flow into the internal test chamber; a first capacitance detector to measure a first air capacitance outside the internal test chamber; a second capacitance detector to measure a second air capacitance inside the internal test chamber; and a processor to compare a first signal output from the first capacitance detector to a second signal output from the second capacitance detector and identify any lag between a change in the first signal and a corresponding change in the second signal.

Abstract: A system and method for a highly integrated environmental sensor and process for manufacturing said sensor is disclosed. Examples of the present disclosure may include an integrated sensor. The integrated sensor may include a redistribution layer (RDL). The integrated sensor may also include a control circuit coupled to the RDL. The integrated sensor may additionally include an analog front-end circuit coupled to the RDL and the control circuit. The integrated sensor may further include an environmental sensor coupled to the analog front-end circuit. The environmental sensor may include a first sensing element deposited in a first trench etched on the RDL using inkjet material deposition.

Abstract: An example of the teachings herein includes a system comprising: a sensor element; a mechanical transducer to vibrate the sensor element; and a heating element to provide localized heat to the sensor element. The heating element and the mechanical transducer operate in concert to raise a temperature of the sensor element and vibrate the sensor element to dislodge contaminants from a surface of the sensor element.

Abstract: A method includes forming a metal cathode on a substrate, anodizing an outer surface of the metal cathode to form an anodized porous layer, and forming a metal anode over the anodized porous layer, wherein the anodized porous layer defines a dielectric layer between the metal anode and the metal cathode, and wherein the metal anode, the anodized porous layer, and the metal cathode define a sensor.

Abstract: A method includes receiving a first alert from a first environmental condition detection device indicating a presence of an environmental condition. Determining a location of the first environmental condition detection device. Determining a condition intensity value for the first environmental condition detection device based on the first alert. Generating a heatmap to depict the location and the condition intensity value for the first environmental condition detection device. Receiving a second alert from a second environmental condition detection device indicating a presence of the environmental condition. Determining a location of the second environmental condition detection device based on the second alert. Determining a condition intensity value for the second environmental condition detection device based on the second alert. Revising a heatmap to depict the location and the condition intensity value for the second environmental condition detection device.

Abstract: A method includes detecting a first signal from a sensor of a life safety device, the first signal to represent a first baseline for a characteristic of the sensor. A second signal may be detected from the sensor, the second signal to represent a second baseline for the characteristic of the sensor. The second baseline may be compared to the first baseline to determine a first measure of sensor drift for the characteristic of the sensor. The first measure of sensor drift may be compared to a first drift threshold, and a self-cleaning session may be initiated when the first measure of sensor drift exceeds the first drift threshold. The self-cleaning session may include at least one self-cleaning cycle.