Various embodiments include systems and methods of arthropod detection using an electronic arthropod detection device. The electronic arthropod detection device may scan a surface or a subject using one or both of a hyperspectral image sensor or a multispectral image sensor that is sensitive to multiple bands of electromagnetic radiation to detect the presence or likely presence of an arthropod in a region of interest (ROI). A camera sensitive to a visible band of electromagnetic radiation may be used to capture at least one image and provides the image(s) to an object detection model in response to determining that an arthropod is or is likely present in the ROI. Hyperspectral and/or multispectral images may be provided to the object detection model alone or in combination with visible light image(s). A processor may initiate an arthropod detected procedure in response to detecting an arthropod in the ROI.

Various embodiments include systems and methods of arthropod detection using an electronic arthropod detection device. The electronic arthropod detection device may scan a surface or a subject using one or both of a hyperspectral image sensor or a multispectral image sensor that is sensitive to multiple bands of electromagnetic radiation to detect the presence or likely presence of an arthropod in a region of interest (ROI). A camera sensitive to a visible band of electromagnetic radiation may be used to capture at least one image and provides the image(s) to an object detection model in response to determining that an arthropod is or is likely present in the ROI. Hyperspectral and/or multispectral images may be provided to the object detection model alone or in combination with visible light image(s). A processor may initiate an arthropod detected procedure in response to detecting an arthropod in the ROI.

Various methods an apparatus to use facial recognition in a computing device are disclosed. In one aspect, a method of controlling a component of a computing device is provided. The method includes taking an IR image of a user and a background with an IR sensor of a computing device. The computing device is in a location. The IR image is segmented into user image data and background image data. An ambient temperature of the location is determined using the background image data. An aspect of the component is controlled based on the ambient temperature.

Various methods an apparatus to use facial recognition in a computing device are disclosed. In one aspect, a method of controlling a component of a computing device is provided. The method includes taking an IR image of a user and a background with an IR sensor of a computing device. The computing device is in a location. The IR image is segmented into user image data and background image data. An ambient temperature of the location is determined using the background image data. An aspect of the component is controlled based on the ambient temperature.

A method and system for cost effective, convenient remote color reproduction and matching that can be used to convey color to observers remote to the physical source of color. Such remote observers can include product consumers wishing to view a product color, for example. In a preferred embodiment, the method comprises capture of article or product reflectance spectra and the use of this spectrum to filter ambient light or directed light in the environment of a remote user. Other embodiments of methods include various techniques to capture product spectral information and color matching functions useful for color reproduction using colored light sources. Additional systems embodiments include devices exploiting multiprimary displays to render the product color in avoidance of metamerism.

A method and system for cost effective, convenient remote color reproduction and matching that can be used to convey color to observers remote to the physical source of color. Such remote observers can include product consumers wishing to view a product color, for example. In a preferred embodiment, the method comprises capture of article or product reflectance spectra and the use of this spectrum to filter ambient light or directed light in the environment of a remote user. Other embodiments of methods include various techniques to capture product spectral information and color matching functions useful for color reproduction using colored light sources. Additional systems embodiments include devices exploiting multiprimary displays to render the product color in avoidance of metamerism.

Systems and methods for computer-generated reality user hailing are described. Some implementations may include accessing sensor data captured using one or more sensors; detecting a person within a distance of a head-mounted display based on the sensor data; detecting a hail event based on the sensor data; and responsive to the hail event, invoking an alert using the head-mounted display.

Systems and methods for computer-generated reality user hailing are described. Some implementations may include accessing sensor data captured using one or more sensors; detecting a person within a distance of a head-mounted display based on the sensor data; detecting a hail event based on the sensor data; and responsive to the hail event, invoking an alert using the head-mounted display.

Systems and methods are disclosed for locating a retroreflective object in a digital image and/or identifying a feature of the retroreflective object in the digital image. In certain environmental conditions, e.g. on a sunny day, or when the retroreflective material is damaged or soiled, it may be more challenging to locate the retroreflective object in the digital image and/or to identify a feature of the object in the digital image. The systems and methods disclosed herein may be particularly suited for object location and/or feature identification in situations in which there is a strong source of ambient light (e.g. on a sunny day) and/or when the retroreflective material on the object is damaged or soiled.

Systems and methods are disclosed for locating a retroreflective object in a digital image and/or identifying a feature of the retroreflective object in the digital image. In certain environmental conditions, e.g. on a sunny day, or when the retroreflective material is damaged or soiled, it may be more challenging to locate the retroreflective object in the digital image and/or to identify a feature of the object in the digital image. The systems and methods disclosed herein may be particularly suited for object location and/or feature identification in situations in which there is a strong source of ambient light (e.g. on a sunny day) and/or when the retroreflective material on the object is damaged or soiled.