US2023152478A1PendingUtilityA1
Crowd-sourced hardware calibration
Est. expiryNov 12, 2032(~6.3 yrs left)· nominal 20-yr term from priority
Inventors:Gordon A. DrukierEric P. RubensteinYonatan B. RubensteinJoshua C. KesslerPeter R. SolomonMarek A. Wojtowicz
H04N 23/61G06F 3/165G06T 7/73G06T 7/80G01T 7/005G06T 7/85G01T 1/02H04N 7/18G06T 7/20
52
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Claims
Abstract
Systems and methods for calibrating multiple electronic devices are described herein. Such methods may include obtaining, by a processor, data from a plurality of reference electronic devices, analyzing, by a processor, the data and calibrating, by the processor, the electronic device based on the analyzed data obtained from the plurality of reference electronic devices.
Claims
exact text as granted — not AI-modified1 . (canceled)
2 . A mobile device calibration system comprising:
one or more processors; and a non-transitory, processor-readable storage medium in communication with the one or more processors, wherein the non-transitory, processor-readable storage medium contains one or more programming instructions that, when executed, are configured to cause the one or more processors to:
receive calibration data related to configuring a mobile device to detect radiation and device data from a plurality of mobile devices;
assign each of the plurality of mobile devices to one or more categories based on the device data, wherein a first subset of the plurality of mobile devices is assigned to a first category of the one or more categories;
identify one or more attributes of the calibration data received from the plurality of mobile devices assigned to the first category;
determine ideal calibration data specific to at least the first category of the one or more categories based on the one or more identified attributes; and
transmit, to the plurality of mobile devices in the first category, the ideal calibration data specific to at least the first category.
3 . The mobile device calibration system of claim 2 , wherein the instructions are further configured to cause the one or more processors to:
determine the one or more categories based on the device data.
4 . The mobile device calibration system of claim 2 , wherein the device data comprises mobile device-specific details referring to a manufacturer, a model, manufacturing components, dates of manufacture, software, specification, or combinations thereof.
5 . The mobile device calibration system of claim 2 , wherein the calibration data comprises calibration settings determined by individual mobile devices, and measured characteristics of the mobile device in an environment substantially free of stimulus.
6 . The mobile device calibration system of claim 2 , wherein attributes comprise similarities in the calibration data common to the plurality of mobile devices assigned to the first category.
7 . The mobile device calibration system of claim 2 , wherein the ideal calibration data comprises an optimized combination of calibration settings from the plurality of mobile devices in the first category determined by an algorithm.
8 . The mobile device calibration system of claim 2 , wherein the ideal calibration data is updated as additional calibration data from additional mobile devices is added to the first category.
9 . The mobile device calibration system of claim 2 , wherein the instructions are further configured to cause the one or more processors to:
receive additional calibration data from a first mobile device of the plurality of mobile devices assigned to the first category; assign the first mobile device to a second category of the one or more categories based on the additional calibration data; identify one or more attributes of the calibration data or additional calibration data received from the plurality of mobile devices assigned to the second category; determine the ideal calibration data specific to at least the first and second categories based on the one or more identified attributes; and transmit, to the plurality of mobile devices in the first and second categories, the ideal calibration data specific to at least the respective category.
10 . The mobile device calibration system of claim 2 , wherein the radiation comprises ionizing radiation, gamma radiation, thermal radiation, electric fields, light, radio waves or combinations thereof.
11 . The mobile device calibration system of claim 2 , wherein the mobile devices are reference mobile devices.
12 . The mobile device calibration system of claim 2 , wherein the calibration data applies to thermal sensing, pressure sensing, magnetic sensing, electric field sensing, acoustic sensing, acceleration sensing, gravitational sensing, motion sensing, positional sensing, or combinations thereof.
13 . A mobile device calibration system comprising:
one or more processors; and a non-transitory, processor-readable storage medium in communication with the one or more processors, wherein the non-transitory, processor-readable storage medium contains one or more programming instructions that, when executed, are configured to cause the one or more processors to:
receive image data for calibrating a mobile device to detect radiation, the image data being captured in an environment substantially free of stimulus;
determine a base calibration from an analysis of the image data;
transmit, to a central processor, calibration data related to the base calibration and device data comprising details of the mobile device;
receive, from the central processor, ideal calibration data related to the device data; and
modify the base calibration based on the ideal calibration data.
14 . The mobile device calibration system of claim 13 , wherein the instructions are further configured to cause the one or more processors to:
receive, from the central processor, updated ideal calibration data related to the device data; and further modify the base calibration based on the updated ideal calibration data.
15 . The mobile device calibration system of claim 13 , wherein determining the base calibration from the analysis of the image data further comprises using one or more dynamically selected thresholds in order for the base calibration to be compatible with the ideal calibration data received from the central processor.
16 . The mobile device calibration system of claim 13 , wherein when the image data is not captured in an environment that is substantially free from stimulus, the instructions are further configured to cause the one or more processors to:
receive additional image data; and determine the base calibration from the analysis of the image data and the additional image data.
17 . The mobile device calibration system of claim 16 , wherein the image data and the additional image data are collected during a non-contiguous time span.
18 . The mobile device calibration system of claim 13 , wherein the device data comprises mobile device-specific information referring to a manufacturer, a model, manufacturing components, dates of manufacture, software, specification, or combinations thereof.
19 . A mobile device calibration system comprising:
one or more processors; and a non-transitory, processor-readable storage medium in communication with the one or more processors, wherein the non-transitory, processor-readable storage medium contains one or more programming instructions that, when executed, are configured to cause the one or more processors to:
receive calibration data related to configuring a mobile device to detect radiation and device data from a plurality of mobile devices;
determine one or more categories based on the device data and calibration data;
assign each of the plurality of mobile devices to the one or more categories;
identify one or more attributes of the calibration data of the plurality of mobile devices assigned to each of the of the one or more categories;
determine ideal calibration data specific to each of the one or more categories based on the one or more attributes; and
transmit, to each of the plurality of mobile devices in each respective category, the ideal calibration data specific to the respective category.
20 . The mobile device calibration system of claim 19 , wherein:
the device data comprises mobile device-specific information referring to a manufacturer, a model, manufacturing components, dates of manufacture, software, specification, or combinations thereof; the calibration data are calibration settings determined by individual mobile devices, and the calibration data comprises measured characteristics of the mobile device in an environment substantially free of stimulus; attributes are similarities in the calibration data common to the plurality of mobile devices assigned to each of the one or more categories; and the ideal calibration data is determined by an algorithm and is an optimized combination of calibration settings from the plurality of mobile devices in each of the one or more categories.
21 . The mobile device calibration system of claim 19 , wherein the instructions are further configured to cause the one or more processors to:
receive additional calibration data from a plurality of additional mobile devices; assign each of the plurality of additional mobile devices to the one or more categories; identify one or more attributes of the additional calibration data of the plurality of additional mobile devices assigned to each of the of the one or more categories; update the ideal calibration data specific to each of the one or more categories based on the one or more attributes; and transmit, to each of the plurality of mobile devices and the additional mobile devices in each category, the updated ideal calibration data specific to the category.
22 . The mobile device calibration system of claim 19 , wherein the calibration data is specific to a geographical location.Join the waitlist — get patent alerts
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