System and method of utilizing 3d vision for asset management and tracking
US-2022108088-A1 · Apr 7, 2022 · US
US11995778B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11995778-B2 |
| Application number | US-202217719500-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 13, 2022 |
| Priority date | Apr 13, 2022 |
| Publication date | May 28, 2024 |
| Grant date | May 28, 2024 |
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A method for performing an augmented reality location operation. The augmented reality location operation includes: configuring an augmented reality device to perform a plurality of augmented reality tracking methods; identifying an augmented reality target via at least one of the plurality of augmented reality tracking methods; determining whether another of the plurality of augmented reality tracking methods provides a higher resolution of the augmented reality target; and, handing off the identifying the augmented reality target to the another of the plurality of augmented reality tracking methods.
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What is claimed is: 1. A method for performing an augmented reality location operation comprising: configuring an augmented reality device to perform a plurality of augmented reality tracking methods; generating respective augmented reality tracking method confidence scores for each of the plurality of augmented reality tracking methods, each respective augmented reality tracking method confidence score comprising a respective numerical value; identifying an augmented reality target via at least one of the plurality of augmented reality tracking methods, the at least one of the plurality of augmented reality tracking methods and another of the plurality of augmented reality tracking methods being available for use within a field of view of the augmented reality device; determining whether the another of the plurality of augmented reality tracking methods provides a higher resolution of the augmented reality target, the at least one of the plurality of augmented reality tracking methods and the another of the plurality of augmented reality tracking methods being different types of augmented reality tracking methods, the determining being performed by evaluating the at least one of the plurality of augmented reality tracking methods and the another of the plurality of augmented reality tracking methods to determine which of the at least one of the plurality of augmented reality tracking method and the another of the plurality of augmented reality tracking methods has a higher augmented reality tracking method confidence score; and, handing off the identifying the augmented reality target from the at least one of the plurality of augmented reality tracking methods to the another of the plurality of augmented reality tracking methods when the another of the plurality of augmented reality tracking methods provides the higher resolution of the augmented reality target, the handing off automatically handing off the tracking from the at least one of the plurality of augmented reality tracking methods and the another of the plurality of augmented reality tracking methods when a numerical value of the augmented reality tracking method confidence score for the another of the plurality of augmented reality tracking method is higher than a numerical value of the augmented reality tracking method confidence score for the at least one of the plurality of augmented reality tracking methods. 2. The method of claim 1 , wherein: the respective numerical value of each respective augmented reality tracking method score comprises a numerical representation of an amount of augmented reality drift present for the respective augmented reality tracking method, where a higher amount of augmented reality drift corresponds to a lower augmented reality tracking method confidence score. 3. The method of claim 2 , wherein: each augmented reality tracking method confidence score is generated based upon at least two augmented reality factors. 4. The method of claim 3 , wherein: the at least one augmented reality factor includes at least one of a physical factor, a lighting condition factor, a predictive analysis factor and a field of view prioritization factor. 5. The method of claim 1 , wherein: the handing off the identifying the augmented reality target reduces augmented reality drift associated with the identifying the augmented reality target via the at least one of the plurality of augmented reality tracking methods. 6. The method of claim 1 , wherein: the plurality of augmented reality tracking methods include one or more of a tracking visual information and tracking sensor information. 7. A system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: configuring an augmented reality device to perform a plurality of augmented reality tracking methods; generating respective augmented reality tracking method confidence scores for each of the plurality of augmented reality tracking methods, each respective augmented reality tracking method confidence score comprising a respective numerical value; identifying an augmented reality target via at least one of the plurality of augmented reality tracking methods, the at least one of the plurality of augmented reality tracking methods and another of the plurality of augmented reality tracking methods being available for use within a field of view of the augmented reality device; determining whether the another of the plurality of augmented reality tracking methods provides a higher resolution of the augmented reality target, the at least one of the plurality of augmented reality tracking methods and the another of the plurality of augmented reality tracking methods being different types of augmented reality tracking methods, the determining being performed by evaluating the at least one of the plurality of augmented reality tracking methods and the another of the plurality of augmented reality tracking methods to determine which of the at least one of the plurality of augmented reality tracking method and the another of the plurality of augmented reality tracking methods has a higher augmented reality tracking method confidence score; and, handing off the identifying the augmented reality target from the at least one of the plurality of augmented reality tracking methods to the another of the plurality of augmented reality tracking methods when the another of the plurality of augmented reality tracking methods provides the higher resolution of the augmented reality target, the handing off automatically handing off the tracking from the at least one of the plurality of augmented reality tracking methods and the another of the plurality of augmented reality tracking methods when a numerical value of the augmented reality tracking method confidence score for the another of the plurality of augmented reality tracking method is higher than a numerical value of the augmented reality tracking method confidence score for the at least one of the plurality of augmented reality tracking methods. 8. The system of claim 7 , wherein: the respective numerical value of each respective augmented reality tracking method score comprises a numerical representation of an amount of augmented reality drift present for the respective augmented reality tracking method, where a higher amount of augmented reality drift corresponds to a lower augmented reality tracking method confidence score. 9. The system of claim 8 , wherein: each augmented reality tracking method confidence score is generated based upon at least two augmented reality factors. 10. The system of claim 9 , wherein: the at least one augmented reality factor includes at least one of a physical factor, a lighting condition factor, a predictive analysis factor and a field of view prioritization factor. 11. The system of claim 7 , wherein: the handing off the identifying the augmented reality target reduces augmented reality drift associated with the identifying the augmented reality target via the at least one of the plurality of augmented reality tracking methods. 12. The system of claim 7 , wherein: the plurality of augmented reality tracking methods include one or more of a tracking visual information and tracking sensor information. 13. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code c
Mixed reality (object pose determination, tracking or camera calibration for mixed reality G06T7/00) · CPC title
Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51) · CPC title
using feature-based methods, e.g. the tracking of corners or segments · CPC title
Marker · CPC title
involving graphical user interfaces [GUIs] · CPC title
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