Extended reality drive scanner

Patent metadata

Field	Value
Publication number	US-12505630-B2
Application number	US-202418625473-A
Country	US
Kind code	B2
Filing date	Apr 3, 2024
Priority date	Apr 3, 2024
Publication date	Dec 23, 2025
Grant date	Dec 23, 2025

Abstract

Extended reality drive scanning (e.g., using a computerized tool), is enabled. For example, a system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can comprise scanning, via a camera, a drive rack, wherein the drive rack comprises a group of drives. The operations can further comprise, based on an indicator light of a drive of the group of drives and an identifier of the drive, determining a maintenance status of the drive. The operations can further comprise, based on the maintenance status of the drive, generating an extended reality user interface applicable to the maintenance status of the drive.

First claim

What is claimed is:

1 . A system, comprising:
at least one processor; and at least one memory that stores executable instructions that, when executed by the at least one processor, facilitate performance of operations, comprising: scanning, via a camera, a drive rack, wherein the drive rack comprises a group of drives; based on an indicator light of a drive of the group of drives and an identifier of the drive, determining a maintenance status of the drive; based on the maintenance status of the drive, generating an extended reality user interface applicable to the maintenance status of the drive; and based on the maintenance status of the drive, generating a recommended action to correct a malfunction of the drive, wherein the recommended action is determined based on a comparison of the maintenance status for a model of drive applicable to the drive to a maintenance data table, and wherein the maintenance data table comprises recommended actions per model of the group of drives.

2 . The system of claim 1 , wherein the extended reality user interface comprises an overlay on a screen of a mobile device, wherein the mobile device comprises the camera, and wherein the overlay is rendered on the screen of the mobile device in real time or stored to the memory.

3 . The system of claim 2 , wherein the overlay comprises a color-coded overlay.

4 . The system of claim 1 , wherein the extended reality user interface comprises an overlay generated via extended reality glasses.

5 . The system of claim 1 , wherein the extended reality user interface comprises a haptic device, and wherein the haptic device generates haptic feedback at a rate based on a distance from the drive.

6 . The system of claim 5 , wherein the haptic device comprises a haptic glove, a haptic ring, or another means of delivering information through haptic feedback.

7 . The system of claim 1 , wherein the maintenance status of the drive is determined based on a comparison of a blinking pattern of the indicator light, a color of the indicator light, a shape of the indicator light, a size of the indicator light, or a placement of the indicator light for a model of drive applicable to the drive to a data table of blinking patterns, and wherein the data table comprises blinking patterns and colors per model of the group of drives.

8 . The system of claim 1 , wherein the operations further comprise:
in response to a change in the maintenance status of the drive, modifying the extended reality user interface based on the change in the maintenance status of the drive.

9 . The system of claim 1 , wherein the operations further comprise:
based on the identifier of the drive, determining historical maintenance information applicable to the drive, wherein the historical maintenance information is displayed via the extended reality user interface.

10 . The system of claim 1 , wherein the operations further comprise:
based on the maintenance status of the drive, generating a recommended action to correct a malfunction of the drive, wherein the recommended action is determined using machine learning trained based on prior actions to correct prior malfunctions of other drives, other than the drive.

11 . The system of claim 1 , wherein the operations further comprise:
in response to a determination that, based on the identifier of the drive, the drive is not registered in a defined drive registry, adding data applicable to the drive to the defined drive registry.

12 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by at least one processor, facilitate performance of operations, comprising:
scanning, via a camera, a server rack, wherein the server rack comprises multiple servers; based on an indicator light of a server of the multiple servers and an identifier of the server, determining a maintenance status of the server; based on the maintenance status of the server, generating an extended reality user interface applicable to the maintenance status of the server; and based on the maintenance status of the server, generating a recommended action to correct a malfunction of the server, wherein the recommended action is determined based on a comparison of the maintenance status for a model of server applicable to the server to a maintenance data table, and wherein the maintenance data table comprises recommended actions per model of the multiple servers.

13 . The non-transitory machine-readable medium of claim 12 , wherein the extended reality user interface comprises an overlay on a screen of a mobile device, and wherein the mobile device comprises the camera.

14 . The non-transitory machine-readable medium of claim 13 , wherein the overlay comprises a color-coded overlay.

15 . The non-transitory machine-readable medium of claim 12 , wherein the extended reality user interface comprises an overlay on extended reality glasses.

16 . A method, comprising:
imaging, by a system comprising at least one processor, a drive rack, wherein the drive rack comprises drives; based on an indicator light of a drive of the drives and a unique identifier of the drive, determining, by the system, a maintenance event applicable to the drive; based on the maintenance event, generating, by the system, an extended reality user interface applicable to the maintenance event; and based on the maintenance event, generating, by the system, a recommended action to correct a malfunction of the drive, wherein the recommended action is determined based on a comparison of the maintenance event for a model of drive applicable to the drive to a maintenance data table, and wherein the maintenance data table comprises recommended actions per model of the drives.

17 . The method of claim 16 , wherein the extended reality user interface comprises a haptic device, and wherein the haptic device outputs haptic feedback at a rate based on a distance from the drive.

18 . The method of claim 17 , wherein the haptic device comprises a haptic glove, a haptic ring, or another means of delivering information through haptic feedback.

19 . The method of claim 16 , wherein the maintenance event is determined based on a comparison of a blinking pattern of the indicator light, a color of the indicator light, a shape of the indicator light, a size of the indicator light, or a placement of the indicator light for a model of drive applicable to the drive to a data table of blinking patterns, and wherein the data table comprises blinking patterns and colors per model of the drives.

20 . The method of claim 16 , wherein the extended reality user interface comprises an overlay on a screen of a mobile device, wherein the mobile device comprises a camera that scans the drive rack, and wherein the overlay is rendered on the screen of the mobile device in real time or stored to a memory.

Assignees

• Dell Products Lp

Inventors

• Realegeno Claudia
• Lopez Rhea Claudia
• Duquette Jason J

Classifications

• G06F3/016 Primary

  Input arrangements with force or tactile feedback as computer generated output to the user · CPC title

• G06F11/0793

  Remedial or corrective actions (recovery from an exception in an instruction pipeline G06F9/3861; by retry G06F11/1402; for recovering from a failure of a protocol instance or entity H04L69/40) · CPC title

• G02B2027/0178

  Eyeglass type (eyeglass details G02C) · CPC title

• G02B27/017

  Head mounted · CPC title

• G06V20/20

  in augmented reality scenes · CPC title