This application relates to systems, methods, devices, and other techniques for methods with cameras and specialized ink spreads and augmented reality technology that can be utilized to generate models within an auto-checkout system within a retail environment

The present disclosure provides a target detection, apparatus, system, device and readable storage medium and relates to the technical field of computer vision. The method may include acquiring a first image captured by an imaging device, wherein the first image is captured when a laser light of a first predetermined wavelength is emitted; acquiring a second image captured by the imaging device, wherein the second image is captured when a light of a second predetermined wavelength is emitted, and the laser light of the first predetermined wavelength and the light of the second predetermined wavelength have a same wavelength or different wavelengths; obtaining a distance between a target object and the imaging device based on the first image; and identifying the target object based on the second image.

The present disclosure provides a target detection, apparatus, system, device and readable storage medium and relates to the technical field of computer vision. The method may include acquiring a first image captured by an imaging device, wherein the first image is captured when a laser light of a first predetermined wavelength is emitted; acquiring a second image captured by the imaging device, wherein the second image is captured when a light of a second predetermined wavelength is emitted, and the laser light of the first predetermined wavelength and the light of the second predetermined wavelength have a same wavelength or different wavelengths; obtaining a distance between a target object and the imaging device based on the first image; and identifying the target object based on the second image.

Embodiments of the disclosure provided herein generally relate to methods and video system components that have integrated background differentiation capabilities that allow for background replacement and/or background modification. In some embodiments, undesired portions of video data generated in a video environment are separated from desired portions of the video data by taking advantage of the illumination and decay of the intensity of electromagnetic radiation, provided from an illuminator, over a distance. Due to the decay of intensity with distance, the electromagnetic radiation reflected from the undesired background has a lower intensity when received by the sensor than the electromagnetic radiation reflected from the desired foreground. The difference in the detected intensity at the one or more wavelengths can then be used to separate and/or modify the undesired background from the desired foreground for use in a video feed.

Embodiments of the disclosure provided herein generally relate to methods and video system components that have integrated background differentiation capabilities that allow for background replacement and/or background modification. In some embodiments, undesired portions of video data generated in a video environment are separated from desired portions of the video data by taking advantage of the illumination and decay of the intensity of electromagnetic radiation, provided from an illuminator, over a distance. Due to the decay of intensity with distance, the electromagnetic radiation reflected from the undesired background has a lower intensity when received by the sensor than the electromagnetic radiation reflected from the desired foreground. The difference in the detected intensity at the one or more wavelengths can then be used to separate and/or modify the undesired background from the desired foreground for use in a video feed.

A mechanism for radiation detection is disclosed. An integrated circuit usable in detecting radiation includes a plurality of readout circuits is described. A readout circuit of the plurality of readout circuits includes an integration capacitor and an averaging capacitor. The integration capacitor is coupled with a pixel of a photodetector pixel array. The pixel has a pixel area. An available area less than the pixel area is usable for layout of the integration capacitor. The integration capacitor has a capacitor area less than the available area. The averaging capacitor has an averaging capacitance greater than the integration capacitance of the integration capacitor. In some aspects, the integrated circuit further includes at least one cascaded averaging circuit coupled with the averaging capacitor.

A method for automatically determining whether an operator carried out a first operation on an asset positioned at a location includes the steps of installing a camera module at the location to observe the asset, sending image data from the camera module to an analytics center, processing the image data to automatically determine the identity of the operator or changes at the location resulting from the first operation, developing an event signature based on the image data, wherein the event signature is indicative of whether the first operation on the asset took place, and verifying the status of the first operation based on the event signature. Based on the step of verifying the status of the first operation, the methods can also be configured to automatically process an invoice for the first operation or automatically command a second operation.

Systems and methods of biometric identification of a subject have steps of providing a light source and an imager, positioning a subject hand palm facing the light source and imager, illuminating the palm with the light source, capturing an image of the palm, and determining characteristics of capillary beds in the image. The present invention may include the step of identifying the subject based on the characteristics of the capillary beds. The step of determining characteristics of capillary beds in the image may include determining locations of the capillary beds. The present invention may include the step of processing the image to filter image features of the palm other than the capillary beds. Processing the image to filter image features of the palm other than the capillary beds may include removing surface ridge pattern features and spatially filtering to remove detail with a frequency of less than a selected threshold.

Systems and methods of biometric identification of a subject have steps of providing a light source and an imager, positioning a subject hand palm facing the light source and imager, illuminating the palm with the light source, capturing an image of the palm, and determining characteristics of capillary beds in the image. The present invention may include the step of identifying the subject based on the characteristics of the capillary beds. The step of determining characteristics of capillary beds in the image may include determining locations of the capillary beds. The present invention may include the step of processing the image to filter image features of the palm other than the capillary beds. Processing the image to filter image features of the palm other than the capillary beds may include removing surface ridge pattern features and spatially filtering to remove detail with a frequency of less than a selected threshold.

In one aspect, a device may include at least one processor and storage accessible to the at least one processor. The storage may include instructions executable by the at least one processor to access a first frame of RGB video content corresponding to a first time, access a first frame of IR video content corresponding to the first time, and access data from a depth sensor corresponding to the first time. The instructions may also be executable to determine whether at least a portion of the first frame of the RGB video content correlates to at least a portion of the first frame of the IR video content and/or the data from the depth sensor. Responsive to a determination that it does, the instructions may be executable to authenticate the RGB video content and indicate the RGB video content as being authenticated via a graphical user interface.