Image analysis for temperature modification

Patent metadata

Field	Value
Publication number	US-2022197319-A1
Application number	US-202017124970-A
Country	US
Kind code	A1
Filing date	Dec 17, 2020
Priority date	Dec 17, 2020
Publication date	Jun 23, 2022
Grant date	—

Abstract

A method can include obtaining a set of images of a set of occupants located in an interior environment. The interior environment can have a first temperature. The method can include identifying, based on the set of images, a set of occupant characteristics corresponding to the set of occupants. The method can include obtaining a second temperature of an external environment. The method can include generating, by comparing the set of occupant characteristics to the second temperature, a discrepancy factor. The method can include determining that the discrepancy factor exceeds a threshold. The method can include initiating, in response to the determining that the discrepancy factor exceeds the threshold, a modification of the first temperature.

First claim

What is claimed is:

1 . A computer-implemented method comprising:
obtaining a set of images of a set of occupants located in an interior environment, the interior environment having a first temperature; identifying, based on the set of images, a set of occupant characteristics corresponding to the set of occupants; obtaining a second temperature of an external environment; generating, by comparing the set of occupant characteristics to the second temperature, a discrepancy factor; determining that the discrepancy factor exceeds a threshold; and initiating, in response to the determining that the discrepancy factor exceeds the threshold, a modification of the first temperature.

2 . The computer-implemented method of claim 1 , wherein the initiating the modification comprises issuing a command to a conditioning device to modify the first temperature.

3 . The computer-implemented method of claim 1 , wherein the identifying the set of occupant characteristics comprises identifying a set of clothing classifications corresponding to the set of occupants.

4 . The computer-implemented method of claim 3 , further comprising assigning a set of temperature ratings corresponding, respectively, to the set of clothing classifications;
wherein the comparing the set of occupant characteristics to the second temperature comprises comparing the set of temperature ratings to the second temperature; and wherein the discrepancy factor indicates a difference between the set of temperature ratings and the second temperature.

5 . The computer-implemented method of claim 4 , wherein the set of temperature ratings comprises a first temperature rating and a second temperature rating;
wherein the discrepancy factor is generated by calculating an average of a set of values, the set of values comprising:
a first difference between the first temperature rating and the second temperature; and
a second difference between the second temperature rating and the second temperature.

6 . The computer-implemented method of claim 4 , further comprising identifying, based on the set of images, a set of physical activities of the set of occupants; and
adjusting a target temperature of the interior environment based on the set of physical activities.

7 . The computer-implemented method of claim 6 , wherein the set of physical activities is selected from the group consisting of movement, food consumption, and beverage consumption.

8 . A system comprising:
one or more processors; and one or more computer-readable storage media storing program instructions which, when executed by the one or more processors, are configured to cause the one or more processors to perform a method comprising: obtaining a set of images of a set of occupants located in an interior environment, the interior environment having a first temperature; identifying, based on the set of images, a set of occupant characteristics corresponding to the set of occupants; obtaining a second temperature of an external environment; generating, by comparing the set of occupant characteristics to the second temperature, a discrepancy factor; determining that the discrepancy factor exceeds a threshold; and initiating, in response to the determining that the discrepancy factor exceeds the threshold, a modification of the first temperature.

9 . The system of claim 8 , wherein the initiating the modification comprises issuing a command to a conditioning device to modify the first temperature.

10 . The system of claim 8 , wherein the identifying the set of occupant characteristics comprises identifying a set of clothing classifications corresponding to the set of occupants.

11 . The system of claim 10 , the method further comprising assigning a set of temperature ratings corresponding, respectively, to the set of clothing classifications;
wherein the comparing the set of occupant characteristics to the second temperature comprises comparing the set of temperature ratings to the second temperature; and wherein the discrepancy factor indicates a difference between the set of temperature ratings and the second temperature.

12 . The system of claim 11 , wherein the set of temperature ratings comprises a first temperature rating and a second temperature rating;
wherein the discrepancy factor is generated by calculating an average of a set of values, the set of values comprising:
a first difference between the first temperature rating and the second temperature; and
a second difference between the second temperature rating and the second temperature.

13 . The system of claim 11 , the method further comprising:
identifying, based on the set of images, a set of physical activities of the set of occupants; and adjusting a target temperature of the interior environment based on the set of physical activities.

14 . The system of claim 13 , wherein the set of physical activities is selected from the group consisting of movement, food consumption, and beverage consumption.

15 . A computer program product comprising one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions executable by one or more processors to cause the one or more processors to perform a method comprising:
obtaining a set of images of a set of occupants located in an interior environment, the interior environment having a first temperature; identifying, based on the set of images, a set of occupant characteristics corresponding to the set of occupants; obtaining a second temperature of an external environment; generating, by comparing the set of occupant characteristics to the second temperature, a discrepancy factor; determining that the discrepancy factor exceeds a threshold; and initiating, in response to the determining that the discrepancy factor exceeds the threshold, a modification of the first temperature.

16 . The computer program product of claim 15 , wherein the initiating the modification comprises issuing a command to a conditioning device to modify the first temperature.

17 . The computer program product of claim 15 , wherein the identifying the set of occupant characteristics comprises identifying a set of clothing classifications corresponding to the set of occupants.

18 . The computer program product of claim 17 , the method further comprising assigning a set of temperature ratings corresponding, respectively, to the set of clothing classifications;
wherein the comparing the set of occupant characteristics to the second temperature comprises comparing the set of temperature ratings to the second temperature; and wherein the discrepancy factor indicates a difference between the set of temperature ratings and the second temperature.

19 . The computer program product of claim 18 , wherein the set of temperature ratings comprises a first temperature rating and a second temperature rating;
wherein the discrepancy factor is generated by calculating an average of a set of values, the set of values comprising:
a first difference between the first temperature rating and the second temperature; and
a second difference between the second temperature rating and the second temperature.

20 . The computer program product of claim 18 , the method further comprising:
identifying, based on the set of images, a set of physical activities of the set of occupants; and adjusting a target temperature of the interior environment based on the set of ph

Assignees

• IBM

Inventors

• Deluca Lisa Seacat

Classifications

• G05D23/1927 Primary

  using a plurality of sensors (G05D23/1902, G05D23/1917, and G05D23/1919 take precedence) · CPC title

• G05D23/121

  characterised by the sensing element · CPC title

• F24F2120/14

  Activity of occupants · CPC title

• F24F2110/12

  of the outside air · CPC title

• F24F2120/10

  Occupancy · CPC title