Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for adjusting depth of AR content on HUD. A viewing device identifies, based on sensor data, a physical object visible through a transparent display of the vehicle. The sensor data indicates an initial distance of the physical object from the vehicle. The viewing device gathers virtual content corresponding to the physical object and generates an initial presentation of the virtual content based on the initial distance. The viewing device presents the initial presentation of the virtual content on the transparent display at a position on the transparent display corresponding to the physical object. The viewing device determines, based on updated sensor data, an updated distance of the physical object and generates an updated presentation of the virtual content based on the updated distance. The viewing device presents the updated presentation of the virtual content on the transparent display of the vehicle.

Abstract: A survey application generates a survey of components associated with a three-dimensional model of an object. The survey application receives video feeds, location information, and orientation information from wearable devices in proximity to the object. The three-dimensional model of the object is generated based on the video feeds, sensor data, location information, and orientation information received from the wearable devices. Analytics is performed from the video feeds to identify a manipulation on the object. The three-dimensional model of the object is updated based on the manipulation on the object. A dynamic status related to the manipulation on the object is generated with respect to reference data related the object. A survey of components associated with the three-dimensional model of the object is generated.

Abstract: A display device accesses holographic data corresponding to an image. A laser source generates a laser light. A SLM (Spatial Light Modulator) receives the laser light and modulate the laser light based on the holographic data of the image. A partially transparent reflective lens receives the modulated laser light and reflects the modulated laser light towards an eye of a user of the display device. A holographic image is formed in the form of a reconstructed wavefront based on the modulated laser light. The partially transparent reflective lens is disposed adjacent to the eye of the user.

Abstract: A server receives, from a first display device of a first user, first content data, first sensor data, and a request for assistance identifying a context of the first display device. The server identifies a second display device of a second user based on the context of the first display device. The server receives second content data and second sensor data from the second display device. The first content data is synchronized with the second content data based on the first and second sensor data. Playback parameters are formed based on the context of the first display device. An enhanced playback session is generated using the synchronized first and second content data in response to determining that the first sensor data meet the playback parameters. The enhanced playback session is communicated to the first display device.

Abstract: A system and/or method for isolating respiratory excretions from a patient during a medical procedure performed on the airways of a patient. A shield device includes a barrier, one or more support arms, and an access port. The barrier can be a flexible material, and is impervious to air. The support arm(s) maintain the barrier in a deployed state for placement over a patient's head, including the patient's mouth and nose being located within an isolation region established by the barrier. The access port is carried by the barrier and is configured to permit sealed passage of a medical device (e.g., an endoscope) into the isolation region for interfacing with the patient's airway.

Abstract: A method, apparatus and computer program product are provided for calculating closing metrics regarding a contract between a promotion service and provider. A promotional system may calculate a probability of closing, and an estimated time to close. The promotion service may offer a promotion to consumers for a discounted product or service, to be honored by the provider. A category, lead source, historical data, stage in sales, and/or size of the provider may be used in calculating a probability of close and/or time to close. An example method may comprise supplying a classifying model with a dataset, wherein the dataset comprises an identification of a provider and attributes corresponding to the provider and identifying a class of the provider in accordance with the plurality of corresponding attributes, wherein the identification is determined based on one or more patterns determinative of a return rate by the classifying model.

Abstract: A system and method for generating a virtual content to a physical object is described. A processor includes an augmented reality application. The augmented reality application creates virtual content at the head mounted device, and associates the virtual content with predefined conditions based on data from sensors embedded in the head mounted device at a time of creation of the virtual content. The virtual content is displayed in a display of the head mounted device in response to sensor data satisfying the predefined conditions.

Abstract: A method, apparatus and computer program product are provided for calculating closing metrics regarding a contract between a promotion service and provider. A promotional system may calculate a probability of closing, and an estimated time to close. The promotion service may offer a promotion to consumers for a discounted product or service, to be honored by the provider. A category, lead source, historical data, stage in sales, and/or size of the provider may be used in calculating a probability of close and/or time to close. An example method may comprise supplying a classifying model with a dataset, wherein the dataset comprises an identification of a provider and attributes corresponding to the provider and identifying a class of the provider in accordance with the plurality of corresponding attributes, wherein the identification is determined based on one or more patterns determinative of a return rate by the classifying model.

Abstract: A server receives, from a first display device of a first user, first content data, first sensor data, and a request for assistance identifying a context of the first display device. The server identifies a second display device of a second user based on the context of the first display device. The server receives second content data and second sensor data from the second display device. The first content data is synchronized with the second content data based on the first and second sensor data. Playback parameters are formed based on the context of the first display device. An enhanced playback session is generated using the synchronized first and second content data in response to determining that the first sensor data meet the playback parameters. The enhanced playback session is communicated to the first display device.

Abstract: A machine learning platform operating at a server is described. The machine learning platform accesses a dataset from a datastore. A task that identifies a target of a machine learning algorithm from the machine learning platform is defined. The machine learning algorithm forms a machine learning model based on the dataset and the task. The machine learning platform deploys the machine learning model and monitors a performance of the machine learning model after deployment. The machine learning platform updates the machine learning model based on the monitoring.

Abstract: A contextual local image recognition module of a device retrieves a primary content dataset from a server and then generates and updates a contextual content dataset based on an image captured with the device. The device stores the primary content dataset and the contextual content dataset. The primary content dataset comprises a first set of images and corresponding virtual object models. The contextual content dataset comprises a second set of images and corresponding virtual object models retrieved from the server.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for adjusting depth of AR content on HUD. A viewing device identifies, based on sensor data, a physical object visible through a transparent display of the vehicle. The sensor data indicates an initial distance of the physical object from the vehicle. The viewing device gathers virtual content corresponding to the physical object and generates an initial presentation of the virtual content based on the initial distance. The viewing device presents the initial presentation of the virtual content on the transparent display at a position on the transparent display corresponding to the physical object. The viewing device determines, based on updated sensor data, an updated distance of the physical object and generates an updated presentation of the virtual content based on the updated distance. The viewing device presents the updated presentation of the virtual content on the transparent display of the vehicle.

Abstract: A printing device (106) includes a laser source and a LCOS-SLM (Liquid Crystal on Silicon Spatial Light Modulator). The printing device generates a laser control signal and a LCOS-SLM control signal. The laser source (110) generates a plurality of incident laser beams based on the laser control signal. The LCOS-SLM (112) receives the plurality of incident laser beams, modulates the plurality of incident laser beams based on the LCOS-SL M control signal to generate a plurality of holographic wavefronts (214,216) from the modulated plurality of incident laser beams. Each holographic wavefront forms at least one corresponding focal point. The printing device cures a surface layer or sub-surface layer (406) of a target material (206) at interference points of focal points of the plurality of holographic wavefronts. The cured surface layer of the target material forms a three-dimensional printed content.

Abstract: Biometric authentication techniques are provided using selected manipulations of biometric samples. An exemplary method comprises obtaining enrollment information from a user, wherein the enrollment information comprises first manipulations to a first biometric sample of the user; initiating a challenge to the user in connection with an authentication request by the user to access a protected resource; processing second manipulations by the user of a second biometric sample of the user submitted in response to the challenge, and wherein the processing comprises determining a likelihood that the second manipulations of the second biometric sample of the user submitted in response to the challenge matches the first manipulations to the first biometric sample of the user submitted by the user with the enrollment information; and resolving the authentication request based on the likelihood.

Abstract: A server receives, from a first display device of a first user, first content data, first sensor data, and a request for assistance identifying a context of the first display device. The server identifies a second display device of a second user based on the context of the first display device. The server receives second content data and second sensor data from the second display device. The first content data is synchronized with the second content data based on the first and second sensor data. Playback parameters are formed based on the context of the first display device. An enhanced playback session is generated using the synchronized first and second content data in response to determining that the first sensor data meet the playback parameters. The enhanced playback session is communicated to the first display device.

Abstract: A contextual local image recognition module of a device retrieves a primary content dataset from a server and then generates and updates a contextual content dataset based on an image captured with the device. The device stores the primary content dataset and the contextual content dataset. The primary content dataset comprises a first set of images and corresponding virtual object models. The contextual content dataset comprises a second set of images and corresponding virtual object models retrieved from the server.

Abstract: User authentication techniques are provided using biometric representations of one-time passcodes. An exemplary method comprises initiating a challenge to a user in connection with an authentication request by the user to access a protected resource, wherein the challenge comprises a biometric encoding of a one-time passcode using a dictionary; processing a biometric representation by the user in response to the challenge in accordance with the biometric encoding and wherein the processing comprises determining a likelihood that the biometric representation by the user in response to the challenge matches the biometric encoding in the challenge; and resolving the authentication request based on the likelihood. The biometric encoding comprises, for example, a vocal passphrase and/or instructions for the user to perform a specified manipulation to a biometric sample of the user.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for adjusting depth of AR content on HUD. A viewing device identifies, based on sensor data, a physical object visible through a transparent display of the vehicle. The sensor data indicates an initial distance of the physical object from the vehicle. The viewing device gathers virtual content corresponding to the physical object and generates an initial presentation of the virtual content based on the initial distance. The viewing device presents the initial presentation of the virtual content on the transparent display at a position on the transparent display corresponding to the physical object. The viewing device determines, based on updated sensor data, an updated distance of the physical object and generates an updated presentation of the virtual content based on the updated distance. The viewing device presents the updated presentation of the virtual content on the transparent display of the vehicle.

Abstract: A printing device (106) includes a laser source and a LCOS-SLM (Liquid Crystal on Silicon Spatial Light Modulator). The printing device generates a laser control signal and a LCOS-SLM control signal. The laser source (110) generates a plurality of incident laser beams based on the laser control signal. The LCOS-SLM (112) receives the plurality of incident laser beams, modulates the plurality of incident laser beams based on the LCOS-SLM control signal to generate a plurality of holographic wavefronts (214,216) from the modulated plurality of incident laser beams. Each holographic wavefront forms at least one corresponding focal point. The printing device cures a surface layer or sub-surface layer (406) of a target material (206) at interference points of focal points of the plurality of holographic wavefronts. The cured surface layer of the target material forms a three-dimensional printed content.

Abstract: A head-mounted device (HMD) of a first user has a transparent display. The HMD determines location information of a second user relative to the HMD of the first user. The second user is located within a predefined distance of the HMD. The location information identifies a distance and a direction of the second user relative to the HMD. The HMD receives audio content from the second user, generates augmented reality (AR) content based on the audio content, and displays the AR content in the transparent display based on the location information of the second user. The AR content appears coupled to the second user.