Intelligent directing system in an internet of things (IoT) computing environment

Patent metadata

Field	Value
Publication number	US-11487351-B2
Application number	US-201816198940-A
Country	US
Kind code	B2
Filing date	Nov 23, 2018
Priority date	Nov 23, 2018
Publication date	Nov 1, 2022
Grant date	Nov 1, 2022

Abstract

Embodiments for an intelligent directing service in an Internet of Things (IoT) computing environment by a processor. One or more objects may be identified within a defined region relative to an entity. At least a portion of an extremity of the entity may be directed to select or avoid the one or more objects according to one or more internet of things (IoT) devices.

First claim

The invention claimed is:

1. A method, by a processor, for implementing an intelligent directing service in a computing environment, comprising:
identifying one or more objects within a defined region relative to an entity; and
directing at least a portion of an extremity of the entity to select a first object of the one or more objects while directing the at least the portion of the extremity to avoid a second object of the one or more objects according to an analyzation of the one or more objects by one or more Internet of things (IoT) devices worn by the entity.

2. The method of claim 1 , further including estimating a current position of at least the portion of the extremity of the entity in relation to the one or more objects according to a machine learning operation.

3. The method of claim 1 , further including predicting location coordinates of at least the portion of the extremity relative to the entity from one or more images using a machine learning operation.

4. The method of claim 1 , further including:
determining both a distance and a direction of a vector between at least the portion of the extremity of the entity and the one or more objects; and
transforming the vector into a signal for use in an actuator.

5. The method of claim 1 , further including creating a three-dimensional (3D) point cloud of an environment of the one or more objects and the entity using the one or more IoT device, wherein the one or more IoT devices include at least camera.

6. The method of claim 1 , further including identifying and learning a location of one or more potentially hazardous objects having a possible negative impact to the entity.

7. The method of claim 1 , further including:
creating a three-dimensional (3D) warning perimeter in a virtual computing environment around one or more identified potentially hazardous objects; and
alerting the entity of the one or more potentially hazardous objects according to at least the portion of the extremity of the entity within a selected proximity of the 3D warning perimeter.

8. A system for implementing an intelligent directing service in an Internet of Things (IoT) computing environment, comprising:
one or more computers with executable instructions that when executed cause the system to:
identify one or more objects within a defined region relative to an entity; and
direct at least a portion of an extremity of the entity to select a first object of the one or more objects while directing the at least the portion of the extremity to avoid a second object of the one or more objects according to an analyzation of the one or more objects by one or more Internet of things (IoT) devices worn by the entity.

9. The system of claim 8 , wherein the executable instructions further estimate a current position of at least the portion of the extremity of the entity in relation to the one or more objects according to a machine learning operation.

10. The system of claim 8 , wherein the executable instructions further predict location coordinates of at least the portion of the extremity relative to the entity from one or more images using a machine learning operation.

11. The system of claim 8 , wherein the executable instructions further:
determine both a distance and a direction of a vector between at least the portion of the extremity of the entity and the one or more objects; and
transform the vector into a signal for use in an actuator.

12. The system of claim 8 , wherein the executable instructions further create a three-dimensional (3D) point cloud of an environment of the one or more objects and the entity using the one or more IoT device, wherein the one or more IoT devices include at least camera.

13. The system of claim 8 , wherein the executable instructions further identify and learn a location of one or more potentially hazardous objects having a possible negative impact to the entity.

14. The system of claim 8 , wherein the executable instructions further:
create a three-dimensional (3D) warning perimeter in a virtual computing environment around one or more identified potentially hazardous objects; and
alert the entity of the one or more potentially hazardous objects according at least the portion of the extremity of the entity within a selected proximity of the 3D warning perimeter.

15. A computer program product for implementing an intelligent directing service by a processor, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:
an executable portion that identifies one or more objects within a defined region relative to an entity; and
an executable portion that directs at least a portion of an extremity of the entity to select a first object of the one or more objects while directing the at least the portion of the extremity to avoid a second object of the one or more objects according to an analyzation of the one or more objects by one or more Internet of things (IoT) devices worn by the entity.

16. The computer program product of claim 15 , further including an executable portion that estimates a current position of at least the portion of the extremity of the entity in relation to the one or more objects according to a machine learning operation.

17. The computer program product of claim 15 , further including an executable portion that predicts location coordinates of at least the portion of the extremity relative to the entity from one or more images using a machine learning operation.

18. The computer program product of claim 15 , further including an executable portion that:
determines both a distance and a direction of a vector between at least the portion of the extremity of the entity and the one or more objects; and
transforms the vector into a signal for use in an actuator.

19. The computer program product of claim 15 , further including an executable portion that creates a three-dimensional (3D) point cloud of an environment of the one or more objects and the entity using the one or more IoT device, wherein the one or more IoT devices include at least camera.

20. The computer program product of claim 15 , further including an executable portion that:
identifies and learns a location of one or more potentially hazardous objects having a possible negative impact to the entity;
creates a three-dimensional (3D) warning perimeter in a virtual computing environment around the one or more identified potentially hazardous objects; and
alerts the entity of the one or more potentially hazardous objects according to at least the portion of the extremity of the entity within a selected proximity of the 3D warning perimeter.

Assignees

• IBM

Inventors

• Buesser Beat
• Gazzetti Michele
• Gkoufas Yiannis
• Katrinis Kostas
• Lonij Vincent
• Mckenna Sean A

Classifications

• G06N5/01

  Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound · CPC title

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• G06N3/045

  Combinations of networks · CPC title

• G06N3/044

  Recurrent networks, e.g. Hopfield networks · CPC title

• G06V20/64

  Three-dimensional [3D] objects · CPC title