Glass opacity shift based on determined characteristics
US-2016170206-A1 · Jun 16, 2016 · US
US2020167565A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2020167565-A1 |
| Application number | US-201816198987-A |
| Country | US |
| Kind code | A1 |
| Filing date | Nov 23, 2018 |
| Priority date | Nov 23, 2018 |
| Publication date | May 28, 2020 |
| Grant date | — |
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An approach is provided in which a lens system captures a set of sensory data corresponding to an area proximate to a user wearing glasses. Next, the lens system matches the set of sensory data to a situational context entry stored in a storage area and, in turn, adjusts an appearance of the lens system based on a set of lens configuration attributes corresponding to the matched situational context entry.
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1 . A method implemented by an information handling system that includes a memory and a processor, the method comprising: capturing, by an eyewear system, a set of sensory data corresponding to an area proximate to a user wearing the eyewear system; matching the set of sensory data to a selected one of a plurality of situational context entries stored in a storage area, wherein the selected situational context entry comprises a set of eyewear configuration attributes; and adjusting an appearance of the eyewear system based on the set of eyewear configuration attributes. 2 . The method of claim 1 wherein the set of sensory data comprises a set of image data, and wherein the matching further comprises: identifying a first set of image properties corresponding to the set of image data; determining that the first set of image properties matches one of a plurality of stored images; and identifying at least one of the plurality of situational context entries corresponding to the matched stored image. 3 . The method of claim 2 wherein the at least one of the plurality of situational context entries comprise a first situational context entry and a second situational context entry, the matching further comprising: selecting the first situational context entry as the selected situational context entry in response to determining that a first priority level corresponding to the first situational context entry is higher than a second priority level corresponding to the second situational context entry. 4 . The method of claim 3 wherein the set of sensory data also comprises a set of audio data, the method further comprising: selecting the first situational context entry as the selected situational context entry in response to determining that the set of audio data matches a first audio file corresponding to the first situational context entry. 5 . The method of claim 2 wherein the matched stored image corresponds to a camera pointed at the user, and wherein the adjusting comprises decreasing an opacity of a set of lenses included in the eyewear system. 6 . The method of claim 2 wherein the matched stored image corresponds to page of text, and wherein the adjusting comprises decreasing an opacity of a set of lenses included in the eyewear system. 7 . The method of claim 1 further comprising: capturing a set of biometric data corresponding to the user; matching the set of biometric data to a different one of the plurality of situational context entries, wherein the different situational context entry comprises a different set of lens configuration attributes; and adjusting the appearance of the eyewear system based on the different set of lens configuration attributes. 8 . The method of claim 1 further comprising: determining that the user is attending an event based on analyzing a set of calendar entries corresponding to the user; and selecting the situational context entry based on the attended event. 9 . The method of claim 1 further comprising: receiving configuration data from the user in response to displaying a user interface on a set of lenses included in the eyewear system; and adding a new situational context entry to the storage area based on the received configuration data. 10 . The method of claim 1 further comprising one or more network situated information resources and one or more computing devices that collect information from the eyewear system and instruct the eyewear system to adjust color and opacity. 11 . The method of claim 1 further comprising: sending the set of sensory data over a remote application program interface (API) to one of the one or more computing devices; receiving a different set of eyewear configuration attributes from the one or more computing devices; and adjusting a different appearance of the eyewear system based on the different set of eyewear configuration attributes. 12 . An information handling system comprising: one or more processors; a memory coupled to at least one of the processors; a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions of: capturing, by an eyewear system, a set of sensory data corresponding to an area proximate to a user wearing the eyewear system; matching the set of sensory data to a selected one of a plurality of situational context entries stored in a storage area, wherein the selected situational context entry comprises a set of eyewear configuration attributes; and adjusting an appearance of the eyewear system based on the set of eyewear configuration attributes. 13 . The information handling system of claim 12 wherein the set of sensory data comprises a set of image data, and wherein the matching further comprises: identifying a first set of image properties corresponding to the set of image data; determining that the first set of image properties matches one of a plurality of stored images; and identifying at least one of the plurality of situational context entries corresponding to the matched stored image. 14 . The information handling system of claim 13 wherein the at least one of the plurality of situational context entries comprise a first situational context entry and a second situational context entry, the matching further comprising: selecting the first situational context entry as the selected situational context entry in response to determining that a first priority level corresponding to the first situational context entry is higher than a second priority level corresponding to the second situational context entry. 15 . The information handling system of claim 14 wherein the set of sensory data also comprises a set of audio data, the method further comprising: selecting the first situational context entry as the selected situational context entry in response to determining that the set of audio data matches a first audio file corresponding to the first situational context entry. 16 . The information handling system of claim 13 wherein the matched stored image corresponds to page of text, and wherein the adjusting comprises decreasing an opacity of a set of lenses included in the eyewear system. 17 . The information handling system of claim 12 further comprising: determining that the user is attending an event based on analyzing a set of calendar entries corresponding to the user; and selecting the situational context entry based on the attended event. 18 . A computer program product stored in a computer readable storage medium, comprising computer program code that, when executed by an information handling system, causes the information handling system to perform actions comprising: capturing, by an eyewear system, a set of sensory data corresponding to an area proximate to a user wearing the eyewear system; matching the set of sensory data to a selected one of a plurality of situational context entries stored in a storage area, wherein the selected situational context entry comprises a set of eyewear configuration attributes; and adjusting an appearance of the eyewear system based on the set of eyewear configuration attributes. 19 . The computer program product of claim 18 wherein the set of sensory data comprises a set of image data, and wherein the matching further comprises: identifying a first set of image properties corresponding to the set of image data; determining that the first set of image properties matches one of a plurality of stored images; and identifying at least one of the
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