Abstract:
Methods, systems, and computer-readable and executable instructions are described herein. One method includes dividing an enclosure into a number of first field elements and a number of second field elements, determining radiance of a number of first imaging elements and a number of second imaging elements of the enclosure using images of the enclosure, estimating a radiance field and converged parameters of the number of first field elements of the enclosure using initialized parameters of the number of first field elements and the determined radiance of the number of first imaging elements, and estimating a radiance field and converged parameters of a number of second field elements of an enclosure using converged parameters of the number of first field elements, the estimated radiance of the number of first field elements, and the determined radiance of the number of second imaging elements.
Abstract:
Motion de-blurring systems and methods are described herein. One motion de-blurring system includes an image sensing element, one or more motion sensors in an imaging device, a lens element that undergoes motion during a capture of an image by the sensing element, and a de-blurring element to de-blur the image captured by the sensing element via de-convolving a Point Spread Function (PSF).
Abstract:
Methods, systems, and devices are described herein. One method can include receiving a voice command from a user at a voice controlled device, determining a presence of the user to the device using a sensor, converting the voice command to a device specific command, and performing the device specific command using the device in response to the determined presence.
Abstract:
Cargo presence detection devices, systems, and methods are described herein. One cargo presence detection system includes one or more sensors positioned in an interior space of a container, and arranged to collect background image data about at least a portion of the interior space of the container and updated image data about the portion of the interior space of the container and a detection component that receives the image data from the one or more sensors and identifies if one or more cargo items are present in the interior space of the container based on analysis of the background and updated image data.
Abstract:
A Heating, Ventilation, and/or Air Conditioning (HVAC) controller configured to control at least part of an HVAC system of a building. The HVAC controller may include a user interface and a controller. In response to a selection by a user at the user interface, the controller may assemble and present via the user interface an output that encodes settings in a machine readable form. The controller may display the encoded settings on the display with fixed segments of a fixed segment display. An application program code on a remote device may be utilized to capture the displayed fixed segments that encode the settings in an image. The captured image of fixed segments may be decoded at the remote device or may be sent to a remote computing device for processing and/or decoding.
Abstract:
Devices, methods, systems, and computer-readable media for a multiband detector are described herein. One or more embodiments include a multiband detector designed to detect an emission source including a broadband lens, a broadband detector, and a filter that allows electromagnetic radiation entering the system to be filtered into at least two wavelength bands before contacting the broadband detector wherein one or more wavelength bands are used to determine system functionality and wherein one or more other wavelength bands are used to identify the presence of an emission source having a characteristic particular wavelength or wavelength range.
Abstract:
A surveillance system includes an image sensing device for capturing images of a plurality of moving objects at a plurality of different locations in a field of view of the image sensing device. The system also includes a user interactive processor for performing a human-distance calibration for a given location and position of the image sensing device. The system further includes a processor for detecting a human presence among the plurality of moving objects based on the human-distance calibration.
Abstract:
A process is provided for mapping temperatures in an enclosure. A spectral band for a multi-spectral image-capturing device is selected. An intensity-temperature mapping is generated by performing an intensity-temperature calibration based on an intensity of an image pixel in a field of view (FOV) generated by the multi-spectral image-capturing device, a corresponding temperature measurement, and a selected device setting of the image-capturing device. An emitted radiation is detected based on a first spectral image in the FOV. At least one region is determined whether it is poor responsive, which is underexposed or overexposed, such that an accurate temperature is unable to be estimated based on a temperature value associated with the spectral band. Temperatures of the at least one poor responsive regions are replaced with temperatures from corresponding acceptable regions from at least one other spectral image to provide an extended temperature mapping of the enclosure.
Abstract:
A process is provided for estimating a three-dimensional (3D) radiance field of a combustion process in an enclosure. An on-line intensity-temperature calibration is performed based on an association between an intensity of an image pixel and an actual temperature associated with a selected region in the enclosure. The intensity of the corresponding image is transformed to a radiance image based on settings of an image-capturing device and the on-line calibration. A registration and alignment estimation of the image is performed based on positional information of the enclosure. The radiance image is aligned based on the registration estimation. The 3D radiance field having voxels of the enclosure is estimated based on a two-dimensional to 3D transforming of the aligned radiance images.
Abstract:
A process is provided for estimating a three-dimensional (3D) radiance field of a combustion process in an enclosure. An on-line intensity-temperature calibration is performed based on an association between an intensity of an image pixel and an actual temperature associated with a selected region in the enclosure. The intensity of the corresponding image is transformed to a radiance image based on settings of an image-capturing device and the on-line calibration. A registration and alignment estimation of the image is performed based on positional information of the enclosure. The radiance image is aligned based on the registration estimation. The 3D radiance field having voxels of the enclosure is estimated based on a two-dimensional to 3D transforming of the aligned radiance images.