Abstract: A system and method extracting insights from sensed data are provided. The method includes receiving at least one data packet from at least one IoT tag, extracting at least one parameter from the at least one received data packet, where the parameter is a measure of the at least one IoT tag, identifying patterns from the at least one extracted parameter, and determining an insight based on the identified patterns.

Abstract: Systems and methods are provided for collecting anonymized drive information. A processing device may be configured to receive navigation information associated with a common road section including first road segment information relative to a first portion of the common road section, second road segment information relative to a second portion of the common road section, and third road segment information relative to the third portion of the common road section; store the navigation information associated with the common road section; generate at least a portion of an autonomous vehicle road navigation model for the common road section based on the navigation information; and distribute the autonomous vehicle road navigation model to one or more autonomous vehicles for use in autonomously navigating the one or more autonomous vehicles along the common road section.

Abstract: A system and method for method for providing an augmented reality tag viewer are provided. The method includes receiving, by a device, a low-energy encrypted beacon from a tag attached to a product, the beacon uniquely identifies the product; retrieving information about the product identified by the received beacon; determining if the product is present in a field of view of a camera of the device; upon determining that the identified product is present in the field of view of the camera, matching the product in the field of view with the retrieved information; and upon determining that the product in the field of view matches the retrieved information, overlaying an interface over the display to highlight the product.

Abstract: Systems and methods are provided for collecting anonymized drive information. A processing device may be configured to receive outputs from one or more sensors; determine at least one motion representation for the host vehicle based on the outputs; receive at least one image representative of an environment of the host vehicle; analyze the at least one image to determine at least one road characteristic associated with a road section; assemble first road segment information relative to a first portion of the road section, wherein the first portion of the road section is separated from a starting point associated with a route traveled by the host vehicle; assemble second road segment information relative to a second portion of the road section; and cause transmission of the first road segment information and the second road segment information to a server for assembly of an autonomous vehicle road navigation model.

Abstract: Systems and methods are provided for processing vehicle navigation information. A processing device may be configured to receive navigation information from a plurality of vehicles associated with a common road section; store the navigation information; generate at least a portion of an autonomous vehicle road navigation model for the common road section; and distribute the autonomous vehicle road navigation model to one or more autonomous vehicles. The navigation information from each of the vehicles may include first road segment information relative to a first portion of the common road section, and second road segment information relative to a second portion of the common road section. The second road segment information may include a motion representation for the vehicle and a road characteristic relative to the second portion of the common road section. The second portion may be different from and spatially separated from the first portion of the road section.

Abstract: A system and method of detecting a pick-up of an item are provided. The method includes receiving at least one data packet from at least one IoT tag, extracting a frequency word from the at least one received data packet, wherein the frequency word is a measure of the at least one IoT, analyzing the frequency word to determine a pick-up event to be associated with a pick-up of the item attached to the at least one IoT tag, and upon detecting the pick-up event, sending a notification including an identification of the at least one IoT tag, wherein the notification incudes collateral product information associated with the picked-up item attached to the at least one IoT tag, and displaying the collateral product information of the picked-up item on a display on a physical location of the picked-up item.

Abstract: A system and method for detecting a pick-up of an item and processing payment based on the detected pick-up are provided.

Abstract: A system and method for detecting a pick-up of an item and determining analytics based on the detected pick-up. The method includes receiving data packets from a plurality of Internet of Things (IoT) tags, wherein each of the IoT tags is attached to a product, extracting a frequency word from each of the plurality of IoT tags, analyzing each of the extracted frequency words to detect a pick-up event associated with each IoT tag, and determining analytics related to an interest in the product based on the detected pick-up events.

Abstract: Systems and methods are provided for collecting an nymized drive information. A processing device may be configured to receive outputs from one or more sensors; determine at least, one motion representation for the host vehicle based on the outputs; receive at least one image representative of an environment of the host vehicle; analyze the at least one image to determine at least one road characteristic associated with a road section; assemble first road segment information relative to a first portion of the road section, wherein the first portion of the road section is separated from a starting point associated with a route traveled by the host vehicle; assemble second road segment information relative to a second portion of the road section; and cause transmission of the first road segment information and the second road segment information to a server for assembly of an autonomous vehicle road navigation model.

Abstract: A system and method for method for providing an augmented reality tag viewer are provided. The method includes receiving, by a device, a low-energy encrypted beacon from a tag attached to a product, the beacon uniquely identifies the product; retrieving information about the product identified by the received beacon; determining if the product is present in a field of view of a camera of the device; upon determining that the identified product is present in the field of view of the camera, matching the product in the field of view with the retrieved information; and upon determining that the product in the field of view matches the retrieved information, overlaying an interface over the display to highlight the product.

Abstract: Systems and methods are provided for anonymizing navigation data and generating an autonomous vehicle road navigation model with the anonymized data. A navigation system may receive data relating to a road section from a vehicle. The system may determine one or more motion representations associated with the vehicle and one or more road characteristics associated with the road section. The system may assemble navigation information relative to a first portion and relative to a second portion of the road section. The first and second portions may be spatially separated by a third portion. The system may transmit the navigation information relating to the first and second portions and forego transmitting information relating to the third portion. A server may receive the transmitted navigation information and assemble an autonomous vehicle road navigation model. The server may transmit the navigation model to one or more vehicles for use in autonomous navigation.

Abstract: A system and method for detecting a pick-up of an item and determining analytics based on the detected pick-up. The method includes receiving data packets from a plurality of Internet of Things (IoT) tags, wherein each of the IoT tags is attached to a product, extracting a frequency word from each of the plurality of IoT tags, analyzing each of the extracted frequency words to detect a pick-up event associated with each IoT tag, and determining analytics related to an interest in the product based on the detected pick-up events.

Abstract: Systems and methods are provided for anonymizing navigation data and generating an autonomous vehicle road navigation model with the anonymized data. A navigation system may receive data relating to a road section from a vehicle. The system may determine one or more motion representations associated with the vehicle and one or more road characteristics associated with the road section. The system may assemble navigation information relative to a first portion and relative to a second portion of the road section. The first and second portions may be spatially separated by a third portion. The system may transmit the navigation information relating to the first and second portions and forego transmitting information relating to the third portion. A server may receive the transmitted navigation information and assemble an autonomous vehicle road navigation model. The server may transmit the navigation model to one or more vehicles for use in autonomous navigation.

Abstract: A system and method of detecting a pick-up of an item are provided. The method includes receiving at least one data packet from at least one IoT tag, extracting a frequency word from the at least one received data packet, wherein the frequency word is a measure of the at least one IoT, analyzing the frequency word to determine a pick-up event to be associated with a pick-up of the item attached to the at least one IoT tag, and upon detecting the pick-up event, sending a notification including an identification of the at least one IoT tag, wherein the notification incudes collateral product information associated with the picked-up item attached to the at least one IoT tag, and displaying the collateral product information of the picked-up item on a display on a physical location of the picked-up item.

Abstract: A system and method extracting insights from sensed data are provided. The method includes receiving at least one data packet from at least one IoT tag, extracting at least one parameter from the at least one received data packet, where the parameter is a measure of the at least one IoT tag, identifying patterns from the at least one extracted parameter, and determining an insight based on the identified patterns.

Abstract: A system and method for detecting a pick-up of an item and processing payment based on the detected pick-up are provided.

Abstract: A navigation system for a vehicle is provided. The system includes at least one processor programmed to: receive from an image capture device one or more images representative of an environment of the vehicle; analyze the one or more images to determine navigational information related to the vehicle; determine based on analysis of at least one of: the one or more images, an output of one or more sensors, or the determined navigational information, whether a fault condition exists relative to the determined navigational information; transmit the navigational information from the vehicle to a server if a fault condition is determined not to exist; and forego transmission of the navigational information from the vehicle to a server if a fault condition is determined to exist.

Abstract: An apparatus and method for natural hand processing for virtual reality. For example, one embodiment of an apparatus comprises: graphics processing circuitry to render left and right scenes responsive to a virtual reality application, the left and right scenes to be displayed on left and right displays, respectively, of a virtual reality device; and a natural hand processing pipeline to project a representation of a user's hands into the left and right scenes to allow the user to interact with one or more objects in the scenes, the natural hand processing pipeline comprising: a depth/mask data smoothing and reconstruction module to receive noisy depth and mask data associated with images of the user's hands and to enhance the noisy depth data and mask data to generate enhanced depth and mask data; a hand mesh generator to generate a hand mesh using the enhanced depth and mask data; and a mesh data projector to project the hand mesh into the left and right scenes.

Abstract: Systems and methods are provided for anonymizing navigation data and generating an autonomous vehicle road navigation model with the anonymized data. A navigation system may receive data relating to a road section from a vehicle. The system may determine one or more motion representations associated with the vehicle and one or more road characteristics associated with the road section. The system may assemble navigation information relative to a first portion and relative to a second portion of the road section. The first and second portions may be spatially separated by a third portion. The system may transmit the navigation information relating to the first and second portions and forego transmitting information relating to the third portion. A server may receive the transmitted navigation information and assemble an autonomous vehicle road navigation model. The server may transmit the navigation model to one or more vehicles for use in autonomous navigation.

Abstract: An apparatus and method for natural hand processing for virtual reality. For example, one embodiment of an apparatus comprises: graphics processing circuitry to render left and right scenes responsive to a virtual reality application, the left and right scenes to be displayed on left and right displays, respectively, of a virtual reality device; and a natural hand processing pipeline to project a representation of a user's hands into the left and right scenes to allow the user to interact with one or more objects in the scenes, the natural hand processing pipeline comprising: a depth/mask data smoothing and reconstruction module to receive noisy depth and mask data associated with images of the user's hands and to enhance the noisy depth data and mask data to generate enhanced depth and mask data; a hand mesh generator to generate a hand mesh using the enhanced depth and mask data; and a mesh data projector to project the hand mesh into the left and right scenes.