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公开(公告)号：US12073727B2
公开(公告)日：2024-08-27
申请号：US17805630
申请日：2022-06-06
IPC分类号： G08G1/00 , G06F16/9535
CPC分类号： G08G1/205 , G06F16/9535
摘要： A computer system receives a request to locate a vehicle within a facility. The computer system parses the request to identify one or more characteristics of the vehicle. The computer system identifies a sensor corresponding to the vehicle based on the one or more characteristics of the vehicle. The computer system identifies a most recent location of the vehicle based on the last registered position of the vehicle within the facility. The computer system transmits a signal to a parking spot sensor at the most recent location of the vehicle in the facility. The computer system receives the unique identification. The computer system determines that the unique identification of the vehicle sensor co-located with the parking spot sensor matches the sensor of the requested vehicle. The computer system reports to the user a current location of the vehicle within the facility based on a location of the parking spot sensor.
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公开(公告)号：US11853852B2
公开(公告)日：2023-12-26
申请号：US16662660
申请日：2019-10-24
发明人： Micah Price , Sunil Subrahmanyam Vasisht , Stephen Michael Wylie , Geoffrey Dagley , Qiaochu Tang , Jason Richard Hoover
CPC分类号： G06N20/00 , G06F1/206 , G06F1/3212 , G06F9/541 , H04N23/61 , H04W52/0209 , H04W52/0251
摘要： Systems and methods for preventing machine learning models from negatively affecting mobile devices are provided. For example, a mobile device including a camera, memory devices, and one or more processors are provided. In some embodiments, the processors may be configured to provide images captured by the camera to a machine learning model at a first rate. The processors may also be configured to determine whether one or more of the images includes an object. If one or more of the images includes the object, the processors may be further configured to adjust the first rate of providing the images to the machine learning model to a second rate, and in some embodiments, determine whether to adjust the second rate of providing the images to the machine learning model to a third rate based on output received from the machine learning model.
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公开(公告)号：US11257220B2
公开(公告)日：2022-02-22
申请号：US16288627
申请日：2019-02-28
IPC分类号： G06T7/20 , G06T7/292 , G06K9/62 , G06T7/70 , G01S19/13 , G06K9/00 , G01S19/51 , G01S5/16 , G06T7/246 , G06K9/32
摘要： The disclosed technology includes image-based systems and methods for object tracking within an asset area. Some exemplary methods include receiving an indication of a first object entering an asset area and receiving data indicative of a plurality of captured images. The methods also include performing, by at least one processor, object classification of the first object based on one or more of the plurality of captured images. The methods further include determining a first object location of the first object based at least in part on the object classification, and outputting an indication of the first object location.
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公开(公告)号：US11003912B2
公开(公告)日：2021-05-11
申请号：US16672398
申请日：2019-11-01
发明人： Jason Richard Hoover , Micah Price , Sunil Subrahmanyam Vasisht , Qiaochu Tang , Geoffrey Dagley , Stephen Michael Wylie
摘要： Systems and methods for presenting an augmented reality view are disclosed. Embodiments include a system with a database for personalizing an augmented reality view of a physical environment using at least one of a location of a physical environment or a location of a user. The system may further include a hardware device in communication with the database, the hardware device including a renderer configured to render the augmented reality view for display and a controller configured to determine a scope of the augmented reality view authenticating the augmented reality view. The hardware device may include a processor configured to receive the augmented reality view of the physical environment, and present, via a display, augmented reality content to the user while the user is present in the physical environment, based on the determined scope of the augmented reality view.
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公开(公告)号：US10909599B2
公开(公告)日：2021-02-02
申请号：US15915863
申请日：2018-03-08
发明人： Sean Reddy , Sunil Subrahmanyam Vasisht , Micah Price , Arjun Dugal , Geoffrey Dagley , Raman Bajaj , Stephen Michael Wylie , Jason Richard Hoover , Qiaochu Tang
摘要： Disclosed embodiments provide devices, methods, and computer-readable storage media for determining information of an object from a captured image. Further, the disclosed device responds to a user input by capturing, with the camera, image data representing an object. The device then transmits, via a messaging application through a network interface to a server, the image data and a request for information relating to the object. The object information is received via the messaging application through the network from the server and is displayed on the display screen.
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6.发明授权公开(公告)号：US10908725B2
公开(公告)日：2021-02-02
申请号：US16165711
申请日：2018-10-19
发明人： Qiaochu Tang , Sunil Subrahmanyam Vasisht , Stephen Michael Wylie , Geoffrey Dagley , Micah Price , Jason Richard Hoover
IPC分类号： G06F3/041 , G06F3/0488 , G06F3/0485 , G06F3/0484
摘要： The present disclosure relates to interactive projection systems. In one implementation, an interactive projection system for a vehicle window may include a film having a plurality of sensors embedded therein, the plurality of sensors configured to detect local pressure disturbance on the film; a projector configured to project a user interface onto the film; and at least one processor. The at least one processor may be configured to perform operations, including receiving a detection of a local pressure disturbance from at least one of the plurality of sensors, based on a location of the detected local pressure disturbance, determining a change in the user interface, and transmitting a command to the projector to modify a projected user interface according to the determined change.
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公开(公告)号：US20200279490A1
公开(公告)日：2020-09-03
申请号：US16540626
申请日：2019-08-14
IPC分类号： G08G1/00 , G06F16/9535
摘要： A computer system receives a request to locate a vehicle within a facility. The computer system parses the request to identify one or more characteristics of the vehicle. The computer system identifies a sensor corresponding to the vehicle based on the one or more characteristics of the vehicle. The computer system identifies a most recent location of the vehicle based on the last registered position of the vehicle within the facility. The computer system transmits a signal to a parking spot sensor at the most recent location of the vehicle in the facility. The computer system receives the unique identification. The computer system determines that the unique identification of the vehicle sensor co-located with the parking spot sensor matches the sensor of the requested vehicle. The computer system reports to the user a current location of the vehicle within the facility based on a location of the parking spot sensor.
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公开(公告)号：US20200082325A1
公开(公告)日：2020-03-12
申请号：US16129272
申请日：2018-09-12
摘要： The disclosed invention includes methods and systems for tracking a moveable asset. Embodiments include receiving, from a stationary receiver, an indication of a first signal strength of a beacon signal originating from a beacon attached to a moveable asset, and an identifier of the beacon signal. A first mobile computing device may receive an indication of a second signal strength of the beacon signal, the identifier of the beacon signal, and an indication of a location of the first mobile computing device. A normalized signal strength corresponding to the identifier may be determined based on dividing the indication of the second signal strength by the indication of the first signal strength. A location of the moveable asset may be determined based at least in part on the normalized signal strength and indication of the location of the first mobile computing device.
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公开(公告)号：US10325315B1
公开(公告)日：2019-06-18
申请号：US15916137
申请日：2018-03-08
发明人： Qiaochu Tang , Sunil Subrahmanyam Vasisht , Stephen Michael Wylie , Geoffrey Dagley , Micah Price , Jason Richard Hoover , Sanjiv Yajnik , Raman Bajaj , Arjun Dugal
摘要： A system for processing an image including a vehicle using machine learning can include a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: determining a location of the client device; receiving an image of a vehicle from the client device; matching, using a machine learning algorithm, the image to one or more images of vehicles in a database, the database listing vehicles located at the determined location and including images of the vehicles; retrieving vehicle information from the database based on the matched one or more images in the database; obtaining user information relating to a financing request for the vehicle; determining a real-time quote for the vehicle based on the vehicle information and user information; and transmitting the real-time quote for display on the client device.
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公开(公告)号：US10235602B1
公开(公告)日：2019-03-19
申请号：US15948286
申请日：2018-04-09
发明人： Sunil Subrahmanyam Vasisht , Geoffrey Dagley , Qiaochu Tang , Sean Reddy , Jason Richard Hoover , Stephen Michael Wylie , Micah Price
摘要： An artificial intelligence system for identifying attributes in an image. The system may include a processor in communication with a client device; and a storage medium. The storage medium may store instructions that, when executed, configure the processor to perform operations including: extracting first features; categorizing the first images in a first group or a second group; modifying first metadata associated with each image in the first images to include a binary label; calculating a classification function; classifying a second plurality of images using the classification function; extracting second features from the second images classified in the first group; categorizing the second images in the first group by attribute; calculating an attribute identification function that identifies attributes of the second images; and identifying at least one attribute associated with a client image using the attribute identification function, the client image being received from the client device.
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