Abstract: Techniques are described for automating the design of dental restoration appliances using neural networks. An example computing device receives transform information associated with a current dental anatomy of a dental restoration patient, provides the transform information associated with the current dental anatomy of the dental restoration patient as input to a neural network trained with transform information indicating placement of a dental appliance component with respect to one or more teeth of corresponding dental anatomies, the dental appliance being used for dental restoration treatment for the one or more teeth, and executes the neural network using the input to produce placement information for the dental appliance component with respect to the current dental anatomy of the dental restoration patient.

Abstract: Machine learning, or geometric deep learning, applied to various dental processes and 5 solutions. In particular, generative adversarial networks apply machine learning to smile design—finished smile, appliance rendering, scan cleanup, restoration appliance design, crown and bridges design, and virtual debonding. Vertex and edge classification apply machine learning to gum versus teeth detection, teeth type segmentation, and brackets and other orthodontic hardware. Regression applies machine learning to coordinate systems, diagnostics, case complexity, and 0 prediction of treatment duration. Automatic encoders and clustering apply machine learning to grouping of doctors, or technicians, and preferences.

Abstract: A personal protective equipment (PPE) interrogation device that uses auditory or visual data to ascertain a readiness state of the article of PPE. The auditory or visual data come from an inspection of the article of personal protective equipment in advance of determining whether the article ready for use.

Abstract: A filter cartridge for a respirator includes an RFID chip encoding a digital change management policy (DCMP) indicating a useful lifespan of the cartridge, so that the cartridge may be replaced at the end of the useful lifespan. In some examples, a system includes a respirator comprising a facepiece and an air blower; a removable contaminant capture cartridge installed within the respirator and configured to remove contaminants from the air as the air passes through the contaminant capture cartridge, wherein the contaminant capture cartridge comprises a radio frequency identification (RFID) chip encoding a digital change management policy (DCMP) indicating a useful lifespan of the contaminant capture cartridge; and a computing device configured to read the DCMP from the RFID chip or write the DCMP to the RFID chip.

Abstract: Augmented reality-based training systems are described that dynamically construct and render AR content based on physical attributes of a user to train the user to correctly fit one or more articles of a personal protective equipment (PPE) onto the user's body. In some examples, an AR system includes a display and a computing device having a memory and one or more processors. The memory includes instructions that when executed by the processors simulate a fitting of a PPE to a worker by capturing at least a first image of the worker; selecting a digital model of the PPE; determining an alignment of the digital model of the PPE to the first image of the worker; and outputting for display augmented reality content comprising a composite of a least a second image of the worker overlaid with the digital model of the PPE in accordance with the determined alignment.

Abstract: The present disclosure includes in one instance an optical article comprising a data rich plurality of retroreflective elements that are configured in a spatially defined arrangement, where the plurality of retroreflective elements comprise retroreflective elements having at least two different retroreflective properties, and where data rich means information that is readily machine interpretable. The present disclosure also includes a system comprising the previously mentioned optical article, an optical system, and an inference engine for interpreting and classifying the plurality of retroreflective elements wherein the optical system feeds data to the inference engine.

Abstract: An infrastructure article includes a signal receiver device configured to receive a wireless signal from a signal emitter device configured at an electrically powered scooter; and a controller configured to determine information, coded in the wireless signal, that is based on an operator proficiency of an operator of the electrically powered scooter; and to perform, based at least in part on the information that indicates the operator proficiency of the operator of the electrically powered scooter, at least one operation.

Abstract: Techniques are described for automating the design of dental restoration appliances using neural networks. An example computing device receives transform information associated with a current dental anatomy of a dental restoration patient, provides the transform information associated with the current dental anatomy of the dental restoration patient as input to a neural network trained with transform information indicating placement of a dental appliance component with respect to one or more teeth of corresponding dental anatomies, the dental appliance being used for dental restoration treatment for the one or more teeth, and executes the neural network using the input to produce placement information for the dental appliance component with respect to the current dental anatomy of the dental restoration patient.

Abstract: The present disclosure includes in one instance an optical article comprising a data rich plurality of retroreflective meats that are configured in a spatially defined arrangement, where the plurality of retroreflective elements comprise retroreflective elements having at least two different retroreflective properties, and where data rich means information that is readily machine interpretable. The present disclosure also includes a system comprising the previously mentioned optical article, an optical system, and an inference engine for interpreting and classifying the plurality of retroreflective elements wherein the optical system feeds data to the inference engine.

Abstract: Systems and methods for image recognition are provided. A style-transfer neural network is trained for each real image to obtain a trained style-transfer neural network. The texture or style features of the real images are transferred, via the trained style-transfer neural network, to a target image to generate styled images which are used for training an image-recognition machine learning model (e.g., a neural network). In some cases, the real images are clustered and representative style images are selected from the clusters.

Abstract: At least some embodiments of the present disclosure directs to a method for processing an input image having an embedded element, comprising the steps of: computing one or more histograms of the input image; identifying a range of interest in one of the one or more histograms; and determining, by the processor, a threshold based on the range of interest. In some embodiments, a computing device processes the input image using the threshold to generate an output image.

Abstract: A radar-optical fusion article for attachment to a substrate is described. The radar-optical fusion article includes a first retroreflective layer which is configured to retroreflect at least a portion of light having a wavelength in a range from about 400 nm to about 2500 nm. The radar-optical fusion article includes a second retroreflective layer disposed adjacent to the first retroreflective layer. The second retroreflective layer is configured to retroreflect at least a portion of an electromagnetic wave having a frequency in the range from about 0.5 GHz to about 100 GHz.

Abstract: In some examples, a method includes determining, by a computing device, a plurality of regions of interest of an image for independently processing relative to a plane of interest; determining, by the computing device and for respective regions of interest of the plurality of regions of interest, a distance from objects within the respective regions of interest to the plane of interest; and processing, by the computing device and independently for the respective regions of interest, the respective regions of interest of the image based on the determined distance from the objects to the plane of interest.

Abstract: A system and method of selecting personal protection equipment (PPE) for a worker. The system identifies sets of PPEs and simulates a fitting of the identified PPE sets to the worker. Fitting includes, for each of the identified PPE sets, selecting a three-dimensional computer model for each article of the PPE set, placing the computer model of each of the PPE articles of the PPE set being fitted on a computer model representing the worker, identifying collisions between the computer models as placed, and taking an action based on the identified collisions.

Abstract: Techniques are described for automating the design and manufacture a dental restoration appliance for restoring the dental anatomy of a patient. For example, a system processes a digital three-dimensional (3D) model of a future (desired) dental anatomy of a patient, the future dental anatomy representing an intended shape of at least one tooth of the patient. The system includes a landmark identifier configured to automatically compute, based on the digital 3D model of the future dental anatomy of the patient, one or more landmarks of the future dental anatomy of the patient. The system also includes a custom feature generator configured to automatically generate, based on the one or more landmarks, one or more custom appliance features for a dental appliance for restoring the at least one tooth of the patient. The system further includes a memory device configured to store a digital model of the dental appliance.

Abstract: An infrastructure article includes a signal receiver device configured to receive a wireless signal from a signal emitter device configured at an electrically powered scooter; and a controller configured to determine information, coded in the wireless signal, that is based on an operator proficiency of an operator of the electrically powered scooter; and to perform, based at least in part on the information that indicates the operator proficiency of the operator of the electrically powered scooter, at least one operation.

Abstract: A computing device includes one or more computer processors, and a memory including instructions that, when executed by the one or more computer processors, cause the one or more computer processors to receive roadway condition data from a first electrically powered scooter for a particular portion of a roadway, wherein the roadway condition data indicates a roadway condition for the particular portion of the roadway, generate, based at least in part on the roadway condition for the particular portion of the roadway, data usable by a computing device associated with the second electrically powered scooter to traverse the particular portion of a roadway, and send the data to the computing device associated with the second electrically powered scooter to traverse the particular portion of the roadway.

Abstract: The present disclosure is directed to retroreflective articles to increase visibility of a vehicle, wherein the retroreflective article comprises one or more retroreflective markings arranged in a given pattern and at least a portion of the article has a curvature.

Abstract: Methods for automatically removing collisions between digital mesh objects and moving digital mesh objects between spatial arrangements. The collisions are removed from a set of digital mesh objects using a perturbation method or a mesh deformation method. After removing the collisions, the digital mesh objects are output in a state without collisions between them. The digital mesh objects can be moved between initial and final states based upon motion constraints of the mesh objects and interpolated states of them between the initial and final states. Based upon the constraints and interpolated states, a number of states for movement of the set of digital mesh objects is determined either collectively for the set or individually for each mesh object. The states can be used as digital setups for dental or orthodontic treatment planning.

Abstract: Aspects of the present disclosure related to a computer system and method for analyzing whether a package has been opened. The system includes a memory and one or more processors communicatively coupled to the memory and can be configured to receive an image corresponding to a wrapped package. The one or more processors can also be configured to generate a set of feature values based on a visual representation of the wrapped package in the image. The one or more processors can also be configured to apply the set of feature values to at least one model that is trained based at least in part on a set of images that include the wrapped package having the status, to determine the status of the wrapped package.