A system for monitoring brick in a rotary kiln includes an infrared sensor and a computing system configured to: obtain a digital model of a brick layer of a rotary kiln having a plurality of bricks, wherein the digital model of the brick layer is based on a measured brick thickness correlated with a measured infrared temperature for each brick; obtain infrared data of the rotary kiln with the at least one infrared imaging sensor; determine the measured infrared temperature for each brick; determine a brick thickness of a first brick in the brick layer of the rotary kiln based on the measured infrared temperature assigned to the first brick with the digital model of the brick layer; and provide the brick thickness of the first brick in a brick thickness report.

An object detection and tracking system to identify an object of interest and to determine the location of the object within an area. The system includes a processing unit, a visual image system, a thermal image system, and a location mapping system. The visual image system is positioned relative to an area to capture a visual image of at least a portion of the area. The thermal image system is positioned relative to the area to capture a thermal image of at least a portion of the area concurrently with capture of the visual image to cooperatively identify an object in the area. The at least portion of the area captured in the thermal image conforms to the at least portion of the area captured in the visual image. The location mapping system is positioned relative to the area to determine a location of the object in the area.

An object detection and tracking system to identify an object of interest and to determine the location of the object within an area. The system includes a processing unit, a visual image system, a thermal image system, and a location mapping system. The visual image system is positioned relative to an area to capture a visual image of at least a portion of the area. The thermal image system is positioned relative to the area to capture a thermal image of at least a portion of the area concurrently with capture of the visual image to cooperatively identify an object in the area. The at least portion of the area captured in the thermal image conforms to the at least portion of the area captured in the visual image. The location mapping system is positioned relative to the area to determine a location of the object in the area.

A method for estimating the oxide thickness and the temperature of a heated steel strip, undergoing a heat treatment performed at a temperature from 100° C. to 1100° C., including the steps of 1. measuring at least two radiation intensities at different wavelengths, in a range from 1 to 5 μm, emitted by the heated steel strip, 2. estimating the temperature of the heated steel strip, T.sub.ESTIMATED, based on the at least two measured radiation intensities and a reference radiation intensity for at least a reference wavelength, emitted by a reference steel strip having a determined oxide layer thickness, estimating the emissivity coefficient of the heated steel strip, ε.sub.ESTIMATED, using at least one of the measured radiation intensities and the estimated temperature, T.sub.ESTIMATED, 4. estimating the oxide thickness, Ox.sub.ESTIMATED, of the heated steel strip using the estimated emissivity, ε.sub.ESTIMATED.

The present disclosure relates to methods and devices for indoor-outdoor detection. One example computer-implemented method for indoor-outdoor detection by an electronic device includes receiving, from an ambient light sensor in the electronic device, light intensity data. The electronic device determines an indoor-outdoor feature indicator based on the light intensity data. The electronic device determines whether the electronic device is in an indoor environment or an outdoor environment based on the indoor-outdoor feature indicator.

The present disclosure relates to methods and devices for indoor-outdoor detection. One example computer-implemented method for indoor-outdoor detection by an electronic device includes receiving, from an ambient light sensor in the electronic device, light intensity data. The electronic device determines an indoor-outdoor feature indicator based on the light intensity data. The electronic device determines whether the electronic device is in an indoor environment or an outdoor environment based on the indoor-outdoor feature indicator.

Various embodiments disclosed herein describe an infrared (IR) imaging system for detecting a gas. The imaging system can include an optical filter that selectively passes light having a wavelength in a range of 1585 nm to 1595 nm while attenuating light at wavelengths above 1600 nm and below 1580 nm. The system can include an optical detector array sensitive to light having a wavelength of 1590 that is positioned rear of the optical filter.

Under-display sensor disclosed. The under-display sensor includes a light selection layer, having a first optical path and a second optical path through which a display circularly-polarized light generated by an ambient light and an unpolarized light generated by a pixel pass, and an optical sensor, having a first receiver configured for measuring light that has passed the first optical path and a second receiver configured for measuring light that has passed the second optical path, wherein the first optical path passes all of the display circularly-polarized light and the unpolarized light, wherein the second optical path blocks the display circularly-polarized light and passes the unpolarized light.

The present disclosure relates to a method for calibrating an optical sensor, an optical sensor and a related electronic device. The method includes: acquiring a plurality of spectral detection values of ambient light collected by the optical sensor; acquiring a plurality of first parameter detection values of the ambient light and the corresponding plurality of second parameter detection values according to the plurality of spectral detection values, a type of the first parameter detection values being different from a type of the second parameter detection values; determining at least one effective detection value from the plurality of first parameter detection values according to the plurality of second parameter detection values; and calibrating the optical sensor according to the at least one effective detection value.

The present disclosure relates to a method for calibrating an optical sensor, an optical sensor and a related electronic device. The method includes: acquiring a plurality of spectral detection values of ambient light collected by the optical sensor; acquiring a plurality of first parameter detection values of the ambient light and the corresponding plurality of second parameter detection values according to the plurality of spectral detection values, a type of the first parameter detection values being different from a type of the second parameter detection values; determining at least one effective detection value from the plurality of first parameter detection values according to the plurality of second parameter detection values; and calibrating the optical sensor according to the at least one effective detection value.