Systems and methods for profiling a pallet in a warehouse can include a turntable that rotates the pallet, conveyor belts that move the pallet, and a vertical profiling structure, having cameras mounted at different locations, in a stationary position proximate to a side of the turntable. A photo booth can also be used to provide uniform lighting. A computing system can instruct a conveyor belt to automatically route the pallet onto the turntable, instruct the cameras to capture image data of the pallet as it rotates on the turntable, receive the image data, and retrieve image-based models of the pallet that were trained using images of pallets having unique identifiers. The computing system can determine, based on applying the image-based models to the image data, whether the pallet's unique identifier is identifiable, and transmit, to a warehouse management system, a notification indicating whether the unique identifier is identifiable.

Systems and methods based on thermal imaging for rapid detection of fever conditions in humans that provide for extremely inexpensive, mass producible, field deployable devices accurate in specific, relatively low temperature ranges, and in particular temperatures near nominal human body temperature. The system may include a thermal imager tailored for the application and a corresponding mass producible controlled temperature calibration source configured to provide real time calibration near the human body temperature of interest. The imager and source are deployed in a way such that target people and the calibration source will be within the imager FOV for fever detection. The combination of real time near measurement temperature calibration, with suitable thermography approaches, yield fast, accurate measurements in the fever range using low cost, easy-to-produce components. In combination with a visible imager and pattern/facial recognition techniques, detection of a human target's facial regions of interest suitable for fever detection can be accurately accomplished.

Systems and methods based on thermal imaging for rapid detection of fever conditions in humans that provide for extremely inexpensive, mass producible, field deployable devices accurate in specific, relatively low temperature ranges, and in particular temperatures near nominal human body temperature. The system may include a thermal imager tailored for the application and a corresponding mass producible controlled temperature calibration source configured to provide real time calibration near the human body temperature of interest. The imager and source are deployed in a way such that target people and the calibration source will be within the imager FOV for fever detection. The combination of real time near measurement temperature calibration, with suitable thermography approaches, yield fast, accurate measurements in the fever range using low cost, easy-to-produce components. In combination with a visible imager and pattern/facial recognition techniques, detection of a human target's facial regions of interest suitable for fever detection can be accurately accomplished.

Provided are a device for analyzing a large-area sample based on an image, a device for analyzing a sample based on an image by using a difference in medium characteristic, and a method for measuring and analyzing a sample by using the same. The device for analyzing a large-area sample includes a first sensor array including a plurality of sensors which are disposed while being spaced apart from each other in a first direction, a second sensor array including a plurality of sensors, which are disposed while being spaced apart from each other in the first direction, and spaced apart from the first sensor array in a second direction, and a control unit to obtain image data for a cell included in the sample by using sensing data of the sensor on the sample, in which the sample is interposed between the first sensor array and the second sensor array. An active area of one of the sensor in the first sensor array overlaps an active area of one of the sensors in the second sensor array, in the second direction.

A handheld computing device comprises a display comprising an array of pixels illuminated by a plurality of visible light sources, and a plurality of infra-red light sources interleaved between the visible light sources, the IR light sources being actuable to emit diffuse IR light with a first intensity. A camera has an image sensor comprising an array of pixels responsive to infra-red light and a lens assembly with an optical axis extending from the image sensor through the surface of the display. A dedicated illumination source is located outside the display and is actuable to emit infra-red light with a second greater intensity. A processor is configured to switch between an iris region processing mode in which a subject is illuminated at least by the dedicated light source and a face region processing mode in which a subject is illuminated by the plurality of IR light sources.

A process for estimating a value of a crop of walnuts prior to harvest includes the following steps which are not necessarily in order. First, arranging an unmanned aerial vehicle with a digital single-lens reflex high speed multi spectral camera fitted with a near-infrared filter. Then, taking normalized difference vegetation index images of a field of walnuts every second at a clarity of two centimeters in detail from an altitude of four hundred feet. Next, forming a map of the field from the normalized difference vegetation index images. After that, determining a ratio of the field which possesses a high near-infrared profile. Following that, calculating a meat yield as a product of the ratio and the maximum walnut grade in the field. Finally, calculating the value of the crop from the meat yield.

A system for quantifying viewer engagement with a video playing on a display includes at least one camera to acquire image data of a viewing area in front of the display. A microphone acquires audio data emitted by a speaker coupled to the display. The system also includes a memory to store processor-executable instructions and a processor. Upon execution of the processor-executable instructions, the processor receives the image data and the audio data and determines an identity of the video displayed on the display based on the audio data. The processor also estimates a first number of people present in the viewing area and a second number of people engaged with the video. The processor further quantifies the viewer engagement of the video based on the first number of people and the second number of people.

A display device includes a display unit emitting an output light that has an output spectrum corresponding to a highest gray level of the display device. A maximum peak of the output spectrum between 380 nm and 493 nm is defined as a first intensity peak. A secondary peak of the output spectrum between 380 nm and 493 nm is defined as a second intensity peak. A first sub-peak ratio of the second intensity peak to the first intensity peak is in a range from 7.0% to 75.0%.

A display device includes a display unit emitting an output light that has an output spectrum corresponding to a highest gray level of the display device. A maximum peak of the output spectrum between 380 nm and 493 nm is defined as a first intensity peak. A secondary peak of the output spectrum between 380 nm and 493 nm is defined as a second intensity peak. A first sub-peak ratio of the second intensity peak to the first intensity peak is in a range from 7.0% to 75.0%.

An artificial neural network-based method for detecting a surface type of an object includes: receiving a plurality of object images, wherein a plurality of spectra of the plurality of object images are different from one another and each of the object images has one of the spectra; transforming each object image into a matrix, wherein the matrix has a channel value that represents the spectrum of the corresponding object image; and executing a deep learning program by using the matrices to build a predictive model for identifying a target surface type of the object. Accordingly, the speed of identifying the target surface type of the object is increased, further improving the product yield of the object.