Spur Concepts Inc

Yembo, Inc.

Qualcomm Incorporated

Zachary Rattner

Ryan Goldman

Jonathan Friedman

Siddharth Mohan

Maciej Halber

Devin Waltman

Marc Eder

Anoop Jakka

Vikram Makam Gupta

Robert Sean Daley

Stephen Alton Sprigg

Patrik Nils Lundqvist

Michael-David Nakayoshi Canoy

Christopher Rudolf Wingert

Daniel R Ervin

Clayton Dumstorff

Michael Orlando DeVico

Noel Marie Murphy Kennebeck

Noel Kennebeck

Tiana Marie Hayden

A system and method for an intelligent hair drying/styling apparatus with user information transmission and storage capabilities is herein provided. The hair drying/styling apparatus houses a control circuit board and an infrared or temperature sensor (or camera) in order detect an individual's hair condition moisture level to determine a user specific, customizable dryer setting. The information detected by the sensor is stored locally, on a proximal Internet-enabled device, or on a remote or cloud-based server and accessed by the hair drying/styling apparatus through a wireless local area network connectivity function. This innovation will enable any number of hair professionals and or end consumers to improve styling and dry time. According to the present invention, energy usage is reduced to enable a more efficient design.

System and method for an enhanced hair dryer

Receiving image data of a location in the form of a video feed, pictures, and/or depth information, as examples, from a client device controlled by a user, and/or other data is described. The received data serves as an input to a model (e.g., an artificial intelligence (AI)-based model such as a machine learning model) configured to generate an electronic representation of the location enriched with spatially localized details about surfaces and contents of the location. The electronic representation can be used for various purposes. The present disclosure provides a systems, methods, and computer programs that resolve several impediments in existing three dimensional image data acquisition and/or visualization systems by anonymizing personally identifying information (PII) in the received image data.

Anonymizing personally identifying information in image data

A system and method for an intelligent hair drying/styling apparatus with user information transmission and storage capabilities is herein provided. The hair drying/styling apparatus houses a control circuit board and an infrared or temperature sensor (or camera) in order detect an individual's hair condition moisture level to determine a user specific, customizable dryer setting. The information detected by the sensor is stored locally, on a proximal Internet-enabled device, or on a remote or cloud-based server and accessed by the hair drying/styling apparatus through a wireless local area network connectivity function. This innovation will enable any number of hair professionals and/or end consumers to improve styling and dry time. According to the present invention, energy usage is reduced to enable a more efficient design.

A battery powered blow dryer having a novel heating element technology that can be powered by an attached battery pack. The heating element includes an infrared light bulb that emits high heat with relatively low power consumption compared to current methods. The present invention patent also describes a unique configuration of battery cells to optimally perform the task of blow drying hair.

Systems and methods for delivering heat in a battery powered blow dryer

Modulation techniques designed to prolong battery life in a battery-powered hair dryer that utilizes infrared technology as part of the heating element. Modulation techniques can be used to extend battery run time without significant degradation and optimize end-of-life performance.

Modulation techniques for prolonging battery life in a battery-powered hair dryer

A system and method for an intelligent hair drying/styling apparatus with user information transmission and storage capabilities is herein provided. The hair drying/styling apparatus houses a control circuit board and an infrared or temperature sensor (or camera) in order detect an individual's hair condition moisture level to determine a user specific, customizable dryer setting. The information detected by the sensor is stored locally, on a proximal Internet-enabled device, or on a remote or cloud-based server and accessed by the hair drying/styling apparatus through a wireless local area network connectivity function. Accordingly, a user's hair temperature-drying profile may be stored and later recalled to provide optimal hair styling setting customized for that user. This innovation will enable any number of hair professionals and or end consumers to improve styling and dry time. Such a profile may contain a proprietary V-Factor calculation that will, among other applications, correspond to the use of a coordinated and optimized hair spray solution. According to the present invention, energy usage is reduced to enable a more efficient design.

The process of obtaining an insurance quote is currently based on information provided by filing online forms. Insurance companies use the consumer input data from online the forms to provide a quote for property insurance and for insurance underwriting. To complete the underwriting, the insurance companies have to make assumptions on various factors; for example, the structure and layout of a consumer's home, what type of content the consumer owns, its value, and its condition, among several others. It is desirable to get more accurate data on the consumer content, the structure and layout of the home, as well as other factors (e.g., hazards such as whether a house is on a canyon) in an automated fashion which would let insurance companies underwrite policies with a more accurate risk profile as well as save costs by not having to send an onsite inspector.

Capacity optimized electronic model based prediction of changing physical hazards and inventory items

Systems, methods, and non-transitory computer readable media are disclosed that include operations to generate a virtual representation of a physical location with spatially localized information related to elements within the location being embedded in the virtual representation. The operations includes receiving description data (e.g., a plurality of images and videos) of the location, the description data being generated via at least one of a camera, a user interface; receive metadata associated elements within the location; generating (e.g., offline or in real-time), via a machine learning model and/or a geometric model, a 3-dimensional (3D) model of the location and elements therein; and generating, based on the 3D model of the location, an information-rich virtual representation of the location by annotating the 3D model with spatially localized metadata associated with the elements within the location and semantic information of the elements.

Systems and methods for building a virtual representation of a location

A battery powered blow dryer having a novel battery cooling feature to simultaneously cool the batteries and improve hair dryer performance.

Systems and methods for cooling batteries in a battery powered blow dryer

Disclosed is a method for using a virtual representation of an indoor environment to identify contents that have been damaged (e.g., by flooding). A virtual representation of a physical scene of an indoor environment is processed to identify a list of contents in the physical scene. The virtual representation may include 2-dimensional representations of the physical scene (e.g., images or video) or a 3-dimensional representation of the physical scene (e.g., 3D digital model). A reference line is determined in the virtual representation that is indicative of a maximum vertical extent of the damage in the physical scene. The position of the reference line is compared with the position of the identified contents in the virtual representation to determine contents that are likely to be damaged. For example, the contents that are at or below a plane represented by the reference line in the virtual representation may be identified as damaged.

Identifying flood damage to an indoor environment using a virtual representation

Systems and methods for providing AI-based cost estimates for services are disclosed. The method may comprise receiving, at one or more processors, data from a scanning of a location, the scanning performed by one or more of a camera, a computer vision device, an inertial measurement unit, or a depth sensor. Data may be received, at one or more processors, related to the identification of one or more key elements at the location. An itemized statement and quote of work to be performed may be generated at one or more processors.

Artificial intelligence generation of an itemized property and renters insurance inventory list for communication to a property and renters insurance company

Systems and methods for providing AI-based relocation cost estimates for services and products are disclosed. The method may comprise receiving description data of a location, the description data generated via at least one or more of a camera, a user interface, and/or one or more environment sensors. The method may generate an inventory list comprising a plurality of items, utilizing the machine learning model, based on the description data, the inventory list further comprising inventory attributes associated with the plurality of items related to a context of the plurality of items in the location. The method may generate, utilizing the machine learning models, one or more interactive quotes for relocation cost estimates comprising at least one or more offers for products and/or services based on the plurality of items in the inventory list and the inventory attributes.

Systems and methods for providing AI-based cost estimates for services

Systems, methods, and computer program products are disclosed that include receiving, at a schema translator in communication with a master device, a video feed from a client device. The video feed may be relayed to the master device to allow a substantially simultaneous display of the video feed at the master device. A snapshot from a frame in the video feed may be acquired. An object in the snapshot may be identified during the video feed by a machine learning model and added to a list.

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San Diego, CA, United States of America

Zachary Rattner