Systems, devices, and methods for image analysis
a technology of system and image analysis, applied in the field of system and device for performing image analysis, can solve the problems of user inconvenience, difficult and/or difficult to complete consultations at the retail establishment, and user no place to store, share, compare, or otherwise utilize consultation analysis and/or product recommendations
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AI Technical Summary
Benefits of technology
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Method used
Image
Examples
example devices
[0080]FIG. 2A depicts the native remote computing device 114 that may be utilized for providing a consultation, according to embodiments disclosed herein. Depending on the particular embodiment, the native remote computing device 114 (and / or other computing devices depicted in FIG. 1) may be configured as a general purpose computer programmed to implement the functionality described herein. Similarly, the native remote computing device 114 may be an application-specific device designed to implement the functionality described herein. In the illustrated embodiment, the native remote computing device 114 includes a processor 230, input / output hardware 232, network interface hardware 234, a data storage component 236 (which stores user data 238a, product data 238b, and / or other data), and the memory component 140. The memory component 140 may be configured as volatile and / or nonvolatile memory and as such, may include random access memory (including SRAM, DRAM, and / or other types of RA...
example front
End Processes
[0146]FIG. 16 is a flowchart for providing one type of consultation. As illustrated in block 1630, user data may be received from a kiosk 102, user computing device 118, and / or consultation center 112. At some point during (or after) the consultation, the user may wish to view and / or continue the consultation at another location. As such, data from the consultation may be sent to the native remote computing device 114 and / or foreign remote computing device 116. In block 1632, a request may be received from a user computing device 118 (or kiosk 102) to continue the consultation. In block 1634, the location of a first image may be retrieved, where the first image includes a calibration device 110.
[0147]In some embodiments, the first image may be stored on a foreign remote computing device 116, such as on a social network. The native remote computing device 114 may retrieve the image and determine that the image includes the calibration device 110. In block 1636, a determi...
example back
-End Processes
[0156]FIG. 21 depicts a flowchart for altering an image for analysis, according to some embodiments disclosed herein. Similar to the discussion from FIG. 14 above, in block 2130, an image of the subject may be received. As discussed above, the image may be received from an image capture device 104a, 104b, from a foreign remote computing device 116 (such as a social network), from the user computing device 118, and / or from another source. In block 2132, a color correction of the image may be performed. In block 2134 a spatial image adjustment may be performed.
[0157]More specifically, as described above, the uploaded digital image may be compared to a mannequin image. The mannequin image may have a predetermined relative head position, relative head tilt, and / or relative head yaw. The uploaded digital image may then be compared with the mannequin image. If the uploaded digital image does not match the mannequin image, the uploaded digital image may be altered to substant...
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