Abstract: Systems and methods for authenticating material samples are provided. Digital images of the samples are processed to extract computer-vision features, which are used to train a classification algorithm along with location and optional time information. The extracted features/information of a test sample are evaluated by the trained classification algorithm to identify the test sample. The results of the evaluation are used to track and locate counterfeits or authentic products.

Abstract: A system, wearable device and management device provided for predicting a flashover event. According to one aspect of the disclosure, a wearable device for predicting a flashover event is provided. The wearable device includes at least one thermal sensor configured to generate thermal data associated with an environment, and processing circuitry configured to: determine a risk of ignition of at least one combustible gas in the environment based on the thermal data, and trigger at least one action based on the determined risk of ignition.

Abstract: In general, techniques are described for a personal protective equipment (PPE) management system (PPEMS) that uses images of optical patterns embodied on articles of personal protective equipment (PPEs) to identify safety conditions that correspond to usage of the PPEs. In one example, an article of personal protective equipment (PPE) includes a first optical pattern embodied on a surface of the article of PPE; a second optical pattern embodied on the surface of the article of PPE, wherein a spatial relation between the first optical pattern and the second optical pattern is indicative of an operational status of the article of PPE.

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: In some examples, a computing device includes one or more computer processors configured to receive, from an image capture device, an image of a physical scene that is viewable by an operator of a vehicle, wherein the physical scene is at least partially in a trajectory of the vehicle; receive, from an eye-tracking sensor, eye-tracking data that indicates a portion of the physical scene at which vision of the operator is directed; generate, based at least in part on excluding the portion of the physical scene at which vision of the operator is directed, a description of the physical scene; and perform at least one operation based at least in part on the description of the physical scene that is generated based at least in part on excluding the portion of the physical scene at which the vision of the operator is directed.

Abstract: In some examples, a method includes selecting, by a coding computing device, a particular identifier from a set of identifiers generated by an identifier allocation authority, wherein the set of identifiers are included within a global set of identifiers maintained by the identifier allocation authority; coding, by the coding computing device, the particular identifier from the set of identifiers into an optical element set that represents an optical code comprising a plurality of finder optical elements arranged in a pattern to localize the optical code within an image, a plurality of context optical elements representing context information, and a plurality of content optical elements representing content information; and generating a visual output of the optical code that is decodable to the particular identifier which, in combination with at least one other parameter associated with the optical element set, comprises a globally unique identifier in a set of globally unique identifiers.

Abstract: Systems and methods for authenticating material samples are provided. Digital images of the samples are processed to extract computer-vision features, which are used to train a classification algorithm. The computer-vision features of a test sample are evaluated by the trained classification algorithm to identify the test sample.

Abstract: In general, techniques are described for a personal protective equipment (PPE) management system (PPEMS) that uses images of optical patterns embodied on articles of personal protective equipment (PPEs) to identify safety conditions that correspond to usage of the PPEs. In one example, an article of personal protective equipment (PPE) includes a first optical pattern embodied on a surface of the article of PPE; a second optical pattern embodied on the surface of the article of PPE, wherein a spatial relation between the first optical pattern and the second optical pattern is indicative of an operational status of the article of PPE.

Abstract: The disclosure is directed to an article, such as a pathway article or a sheeting. The article includes a physical surface having a code embodied thereon. The code is associated with pathway information in transaction data stored by a blockchain managed by a consensus network of node. The pathway information indicates one or more characteristics of a vehicle pathway, wherein the pathway information provides at least one of: information descriptive of at least a portion of the vehicle pathway, or vehicle operation instructions associated with the portion of the vehicle pathway.

Abstract: In general, techniques are described for a personal protective equipment (PPE) management system (PPEMS) that uses images of optical patterns embodied on articles of personal protective equipment (PPEs) to identify safety conditions that correspond to usage of the PPEs. In one example, an article of personal protective equipment (PPE) includes a first optical pattern embodied on a surface of the article of PPE; a second optical pattern embodied on the surface of the article of PPE, wherein a spatial relation between the first optical pattern and the second optical pattern is indicative of an operational status of the article of PPE.

Abstract: An article includes a substrate having a physical surface, a multi-dimensional machine-readable code embodied on the physical surface, wherein the multi-dimensional machine-readable optical code includes a static data (SD) optical element set and a dynamic lookup data (DLD) optical element set. Each of the SD and the DLD sets are embodied on the physical surface. The DLD optical element set encodes a look-up value that references dynamically changeable data, wherein the SD optical element set encodes static data that does not reference other data. The DLD optical element set is not decodable at the distance greater than the threshold distance.

Abstract: A system, wearable device and management device provided for predicting a flashover event. According to one aspect of the disclosure, a wearable device for predicting a flashover event is provided. The wearable device includes at least one thermal sensor configured to generate thermal data associated with an environment, and processing circuitry configured to: determine a risk of ignition of at least one combustible gas in the environment based on the thermal data, and trigger at least one action based on the determined risk of ignition.

Abstract: In some examples, a computing device includes one or more computer processors, a communication device, and a memory comprising instructions that cause the one or more computer processors to: receive, using the communication device and from a set of vehicles, different sets of infrastructure data for a particular infrastructure article that is proximate to each respective vehicle of the set of vehicles, wherein each respective vehicle in the set of vehicles comprises at least one infrastructure sensor that generates infrastructure data descriptive of infrastructure articles that are proximate to the respective vehicle; determine, based at least in part on the different sets of infrastructure data for the particular infrastructure article from each respective vehicle of the set of vehicles, a quality metric for the infrastructure article; and perform at least one operation based at least in part on the quality metric for the infrastructure article.

Abstract: In some examples, an optically active article includes a retroreflective substrate; and at least one security element disposed at the retroreflective substrate; an article message disposed at the retroreflective substrate, and wherein the at least one security element comprises validation information that is detectable outside a visible light spectrum, and wherein a combination of the article message and the validation information of the at least one security element indicates whether the optically active article is counterfeit.

Abstract: In some examples, an article of conspicuity tape includes a retroreflective substrate; and a structured texture element (STE) embodied on the retroreflective substrate, wherein a visual appearance of the structured texture element is computationally generated for differentiation from a visual appearance of a natural environment scene for the article of conspicuity tape.

Abstract: Example systems disclosed herein include a pathway-article assisted vehicle (PAAV) that utilizes an autonomous navigation system for navigating temporary zones on vehicle pathways. The PAAV includes at least image capture device and a computing device. The image capture device generates an image that includes an indication of a temporary zone on a vehicle pathway, such as a pathway article proximate to the vehicle pathway that indicates the temporary zone. The computing device processes the image to obtain the indication of the temporary zone from the image, such as a code on the pathway article, and modifies, based on the indication of the temporary zone, a mode of autonomous operation of the PAAV while operating within the temporary zone on the vehicle pathway.

Abstract: A system and method for determining a sensing capability of a PAAV and for performing at least one operation of the PAAV as a function of at least one policy applied to the sensing capability determined for the PAAV. A sensing capability of the PAAV is determined at least in part on sensor data received from at least one sensor accuracy measurement feature deployed along a pathway. At least one operation of the PAAV is performed as a function of at least one policy applied to the sensing capability determined for the PAAV.

Abstract: The disclosure is directed to an article, such as a pathway article or a sheeting. The article includes a physical surface having a code embodied thereon. The code is associated with pathway information in transaction data stored by a blockchain managed by a consensus network of node. The pathway information indicates one or more characteristics of a vehicle pathway, wherein the pathway information provides at least one of: information descriptive of at least a portion of the vehicle pathway, or vehicle operation instructions associated with the portion of the vehicle pathway.

Abstract: In some examples, a method of validating operation of a vehicle, includes determining, by the vehicle, a first version of a vehicle operating parameter via a vehicle instrument employed in a first measurement approach; calculating, by the vehicle, a second version of the vehicle operating parameter based on information indicated by two or more pathway articles associated with a vehicle pathway; determining, by the vehicle, if the first version of the vehicle operating parameter is approximately equal to the second version of the vehicle operating parameter; if the first version of the vehicle operating parameter is approximately equal to the second version of the vehicle operating parameter, validating the first measurement approach; and if the first version of the vehicle operating parameter is not approximately equal to the second version of the vehicle operating parameter, performing, by the vehicle, one or more actions.

Abstract: In some examples, a method includes selecting, by a coding computing device, a particular identifier from a set of identifiers generated by an identifier allocation authority, wherein the set of identifiers are included within a global set of identifiers maintained by the identifier allocation authority; coding, by the coding computing device, the particular identifier from the set of identifiers into an optical element set that represents an optical code comprising a plurality of finder optical elements arranged in a pattern to localize the optical code within an image, a plurality of context optical elements representing context information, and a plurality of content optical elements representing content information; and generating a visual output of the optical code that is decodable to the particular identifier which, in combination with at least one other parameter associated with the optical element set, comprises a globally unique identifier in a set of globally unique identifiers.