Machine learning based system for processing device telemetry in a distributed computing environment
US-2024320660-A1 · Sep 26, 2024 · US
US2020334643A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2020334643-A1 |
| Application number | US-201916526244-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jul 30, 2019 |
| Priority date | Apr 17, 2019 |
| Publication date | Oct 22, 2020 |
| Grant date | — |
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Various aspects described herein generally relate to visualizing a vehicle history using extended reality. In some implementations, an extended reality device may obtain image data corresponding to one or more vehicle parts that are visible in a field of view of the extended reality device. The extended reality device may identify one or more anchor points in a coordinate space corresponding to the field of view of the extended reality device and obtain a vehicle history report based on an identifier associated with the vehicle. The extended reality device may obtain digital content based on one or more records contained in the vehicle history report and an expected visual appearance of the one or more parts of the vehicle. The extended reality device may render the digital content on a display of the extended reality device. Various other aspects are provided.
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1 - 20 . (canceled) 21 . A method, comprising: obtaining, by a device, vehicle image data; obtaining, by the device, a vehicle history report indicating one or more historical events involving a vehicle depicted in the vehicle image data; identifying, by the device and based on the vehicle history report, at least one vehicle part associated with at least one historical event of the one or more historical events; identifying, by the device and based on the vehicle image data and based on the at least one vehicle part, one or more anchor points in a coordinate space, wherein the one or more anchor points correspond to the at least one vehicle part; and rendering, by the device and using the one or more anchor points, digital content in the coordinate space, the digital content visually emphasizing a particular vehicle part, of the at least one vehicle part, and the digital content including, for the particular vehicle part, data specifying a corresponding historical event from the at least one historical event. 22 . The method of claim 21 , wherein: the digital content visually emphasizes a plurality of vehicle parts, and the digital content includes, for the plurality of vehicle parts, data specifying a plurality of historical events. 23 . The method of claim 21 , wherein the digital content includes one or more of: a patterned overlay, a colored overlay, a hologram, a digital or virtual object, a textual description, a visual marker, or a superimposed graphic. 24 . The method of claim 21 , further comprising: obtaining diagnostic data related to the one or more conditions of the vehicle; and wherein rendering the digital content comprises: rendering the digital content based on the diagnostic data. 25 . The method of claim 21 , further comprising: obtaining model information representing an expected appearance of the vehicle; and wherein rendering the digital content comprises: rendering the digital content based on the model information. 26 . The method of claim 21 , wherein obtaining the vehicle image data comprises at least one of: obtaining the vehicle image data using one or more sensors; obtaining the vehicle image data from one or more frames in a video; or obtaining the vehicle image data from a three-dimensional model representing various surfaces of the vehicle. 27 . The method of claim 21 , further comprising: analyzing the vehicle history report to determine, for the particular vehicle part, data indicating a severity of the corresponding historical event; and wherein rendering the digital content comprises: rendering the digital content visually emphasizing the particular vehicle part based on the data indicating the severity of the corresponding historical event. 28 . A device, comprising: one or more memories; and one or more processors communicatively coupled to the one or more memories, configured to: obtain vehicle image data; obtain a vehicle history report indicating one or more historical events involving a vehicle depicted in the vehicle image data; identify, based on the vehicle history report, at least one vehicle part associated with at least one historical event of the one or more historical events; identify, based on the vehicle image data and based on the at least one vehicle part, one or more anchor points in a coordinate space, wherein the one or more anchor points correspond to the at least one vehicle part; and render, using the one or more anchor points, digital content in the coordinate space, the digital content visually emphasizing a particular vehicle part, of the at least one vehicle part, and the digital content including, for the particular vehicle part, data specifying a corresponding historical event from the at least one historical event. 29 . The device of claim 28 , wherein: the digital content visually emphasizes a plurality of vehicle parts, and the digital content includes, for the plurality of vehicle parts, data specifying a plurality of historical events. 30 . The device of claim 28 , wherein the digital content includes one or more of: a patterned overlay, a colored overlay, a hologram, a digital or virtual object, a textual description, a visual marker, or a superimposed graphic. 31 . The device of claim 28 , wherein the one or more processors are further configured to: obtain diagnostic data related to the one or more conditions of the vehicle; and wherein the one or more processors, when rendering the digital content, are configured to: render the digital content based on the diagnostic data. 32 . The device of claim 28 , wherein the one or more processors are further configured to: obtain model information representing an expected appearance of the vehicle; and wherein the one or more processors, when rendering the digital content, are configured to: render the digital content based on the model information. 33 . The device of claim 28 , wherein the one or more processors, when obtaining the vehicle image data, are configured to at least one of: obtain the vehicle image data using one or more sensors; obtain the vehicle image data from one or more frames in a video; or obtain the vehicle image data from a three-dimensional model representing various surfaces of the vehicle. 34 . The device of claim 28 , wherein the one or more processors are further configured to: analyze the vehicle history report to determine, for the particular vehicle part, data indicating a severity of the corresponding historical event; and wherein the one or more processors, when rendering the digital content, are configured to: render the digital content visually emphasizing the particular vehicle part based on the data indicating the severity of the corresponding historical event. 35 . A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions that, when executed by one or more processors, cause the one or more processors to: obtain vehicle image data; obtain a vehicle history report indicating one or more historical events involving a vehicle depicted in the vehicle image data; identify, based on the vehicle history report, at least one vehicle part associated with at least one historical event of the one or more historical events; identify, based on the vehicle image data and based on the at least one vehicle part, one or more anchor points in a coordinate space, wherein the one or more anchor points correspond to the at least one vehicle part; and render, using the one or more anchor points, digital content in the coordinate space, the digital content visually emphasizing a particular vehicle part, of the at least one vehicle part, and the digital content including, for the particular vehicle part, data specifying a corresponding historical event from the at least one historical event. 36 . The non-transitory computer-readable medium of claim 35 , wherein: the digital content visually emphasizes a plurality of vehicle parts, and the digital content includes, for the plurality of vehicle parts, data specifying a plurality of historical events. 37 . The non-transitory computer-readable medium of claim 35 , wherein the digital content includes one or more of: a patterned overlay, a colored overlay, a hologram, a digital or virtual object, a textual description, a visual marker, or a superimposed graphic. 38 . The non-transitory computer-readable medium of claim 35 , wherei
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