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.

A geographic object recognition unit (120) recognizes, using image data (192) obtained by photographing in a measurement region where a geographic object exists, a type of the geographic object from an image that the image data (192) represents. A position specification unit (130) specifies, using three-dimensional point cloud data (191) indicating a three-dimensional coordinate value of each of a plurality of points in the measurement region, a position of the geographic object.

In some implementations, a computing device can simulate a virtual parallax to create three dimensional effects. For example, the computing device can obtain an image captured at a particular location. The captured two-dimensional image can be applied as texture to a three-dimensional model of the capture location. To give the two-dimensional image a three-dimensional look and feel, the computing device can simulate moving the camera used to capture the two-dimensional image to different locations around the image capture location to generate different perspectives of the textured three-dimensional model as if captured by multiple different cameras. Thus, a virtual parallax can be introduced into the generated imagery for the capture location. When presented to the user on a display of the computing device, the generated imagery may have a three-dimensional look and feel even though generated from a single two-dimensional image.

A method for tracking an object performed by an object tracking system includes encoding locations of visible objects in an environment captured in a current frame of a sequence of frames. The method also includes generating a representation of a current state of the environment based on an aggregation of the encoded locations and an encoded location of each object visible in one or more frames of the sequence of frames occurring prior to the current frame. The method further includes predicting a location of an object occluded in the current frame based on a comparison of object centers decoded from the representation of the current state to object centers saved from each prior representation associated with a different respective frame of the sequence of frames occurring prior to the current frame. The method still further includes adjusting a behavior of an autonomous agent in response to identifying the location of the occluded object.

Systems and methods for dynamic radiometric thermal imaging compensation. The method includes analyzing a visible light image to determine an emissivity value for each of a plurality of visible light pixels making up the visible light image. The method includes associating each of the plurality of thermal pixels making up a thermal image corresponding to the visible light image with at least one of the plurality of visible light pixels making up the visible light image. The method includes generating a second thermal image by, for each of the plurality of thermal pixels making up the thermal image, determining a temperature value based on the thermal pixel value of the thermal pixel and the emissivity value of the at least one of the plurality of visible light pixels associated with the thermal pixel.

An illustrative augmented reality tracking system obtains a volumetric feature descriptor dataset that includes: 1) a plurality of feature descriptors associated with a plurality of views of a volumetric target, and 2) a plurality of 3D structure datapoints that correspond to the plurality of feature descriptors. The system also obtains an image frame captured by a user equipment (UE) device. The system identifies a set of image features depicted in the image frame and detects, based on a match between the set of image features depicted in the image frame and a set of feature descriptors of the plurality of feature descriptors, that the volumetric target is depicted in the image frame. In response to this detecting and based on 3D structure datapoints corresponding to matched feature descriptors, the system determines a spatial relationship between the UE device and the volumetric target. Corresponding methods and systems are also disclosed.

Some embodiments described herein relate to a method that includes separating an analyte-containing sample via electrophoresis in a capillary. The capillary is loaded with a chemiluminescence agent, such as luminol, that is configured to react with the analyte (e.g., HRP-conjugated proteins) to produce a signal indicative of a concentration and/or quantity of analyte at each location along the length of the capillary. A first image of the capillary containing the analytes and the chemiluminescence agent is captured over a first period of time. A second image of the capillary containing the analytes and the chemiluminescence agent is captured over a second, longer, period of time. A concentration and/or quantity of a first population of analytes at a first location is determined using the first image, and a concentration and/or quantity of a second population of analytes at a second location is determined using the second image.

Devices and methods for selecting and stitching image frames are provided. A method includes obtaining a plurality of image frames. The method also includes identifying one or more regions of interest within one or more image frames in the plurality of image frames. The method further includes selecting, based on a respective quality measure associated with each image frame of the plurality of image frames, a set of base frames, where each identified region of interest of the one or more identified regions of interest is fully contained within at least one base frame in the selected set of base frames. The method additionally includes stitching together the selected set of base frames to create a composite image.

The present invention provides a method of generating a robust global map using a plurality of limited field-of-view cameras to capture an environment. Provided is a method for generating a three-dimensional map comprising: receiving a plurality of sequential image data wherein each of the plurality of sequential image data comprises a plurality of sequential images, further wherein the plurality of sequential images is obtained by a plurality of limited field-of-view image sensors; determining a pose of each of the plurality of sequential images of each of the plurality of sequential image data; determining one or more overlapping poses using the determined poses of the sequential image data; selecting at least one set of images from the plurality of sequential images wherein each set of images are determined to have overlapping poses; and constructing one or more map portions derived from each of the at least one set of images.

A robot configured to perceive a model of an environment, including: a chassis; a set of wheels; a plurality of sensors; a processor; and memory storing instructions that when executed by the processor effectuates operations including: capturing a plurality of data while the robot moves within the environment; perceiving the model of the environment based on at least a portion of the plurality of data, the model being a top view of the environment; storing the model of the environment in a memory accessible to the processor; and transmitting the model of the environment and a status of the robot to an application of a smartphone previously paired with the robot.