Enhanced property access

Patent metadata

Field	Value
Publication number	US-12112593-B2
Application number	US-202318141215-A
Country	US
Kind code	B2
Filing date	Apr 28, 2023
Priority date	Apr 24, 2020
Publication date	Oct 8, 2024
Grant date	Oct 8, 2024

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for enhanced property access with video analytics. In some implementations, images of a first area captured by a camera are obtained. A number of persons in the first area is determined from the images. Data indicating one or more unique identifications is received. A number of persons who are authorized to access a second area are determined. Access is provided to the second area.

First claim

What is claimed is:

1. A computer-implemented method comprising:
determining a quantity of one or more unique identifications, wherein each unique identification of the one or more unique identifications corresponds to a person of a number of persons located at a property;
calculating a threshold quantity of unique identifications from the number of persons located at the property using a result of a determination that one or more persons of the number of persons located at the property are authorized to enter an area of the property;
determining that the quantity of the one or more unique identifications satisfies the threshold quantity of unique identifications for providing access to the area of the property; and
in response to determining the quantity of the one or more unique identifications satisfies the threshold quantity of unique identifications for providing access to the area of the property, providing access to the area of the property.

2. The computer-implemented method of claim 1 , comprising:
obtaining images of an area defined by a virtual fence; and
determining the number of persons located at the property comprises determining a number of persons located inside boundaries of the virtual fence.

3. The computer-implemented method of claim 2 , comprising:
detecting a change in the property; and
based on the change in the property, adjusting a size of the virtual fence,
wherein obtaining images of the area defined by the virtual fence comprises obtaining images of the area defined by the virtual fence after the adjustment to the size of the virtual fence, and
wherein determining the number of persons located inside the boundaries of the virtual fence comprises determining the number of persons located inside the boundaries of the virtual fence after the adjustment to the size of the virtual fence.

4. The computer-implemented method of claim 3 , wherein:
detecting the change in the property comprises receiving data indicating that an entrance of the property is open; and
adjusting the size of the virtual fence comprises reducing the size of the virtual fence based on the entrance of the property being open.

5. The computer-implemented method of claim 3 , wherein:
detecting the change in the property comprises determining that a current time meets (i) a first time range or (ii) a second time range; and
adjusting the size of the virtual fence comprises (i) reducing the size of the virtual fence based on the current time meeting the first time range or (ii) increasing the size of the virtual fence based on the current time meeting the second time range.

6. The computer-implemented method of claim 5 , wherein:
the first time range is a time range within a twenty-four hour period;
the second time range is a time range within the twenty-four hour period; and
the first time range is earlier in the twenty-four hour period than the second time range.

7. The computer-implemented method of claim 5 , wherein:
the first time range is a time range (i) within a twenty-four hour period and (ii) that corresponds to a first amount of expected foot traffic in the property;
the second time range is a time range (i) within the twenty-four hour period and (ii) that corresponds to a second amount of expected foot traffic in the property; and
the first amount of expected foot traffic is greater than the second amount of expected foot traffic.

8. The computer-implemented method of claim 3 , wherein detecting the change in the property comprises determining that a number of persons in a second area of the property meets a threshold number of persons; and
adjusting the size of the virtual fence comprises (i) reducing the size of the virtual fence or (ii) increasing the size of the virtual fence.

9. The computer-implemented method of claim 8 , wherein the number of persons in the second area include one or more of the number of persons located at the property.

10. The computer-implemented method of claim 8 , wherein determining that the number of persons in the second area meets the threshold number of persons comprises determining a number of persons located in the second area from the images.

11. The computer-implemented method of claim 8 , wherein determining that the number of persons in the second area meets the threshold number of persons comprises:
receiving data indicating a number of persons that have entered the second area from an access control system of the property;
receiving data indicating a number of persons that have exited the second area from the access control system of the property;
determining a current number of persons in the second area using the number of persons that have entered the second area and the number of persons that have exited the second area; and
comparing the current number of persons in the second area to the threshold number of persons.

12. The computer-implemented method of claim 1 , wherein providing access to the area of the property comprises:
generating instructions for an access control system that is configured to (i) permit access to the area of the property in a first mode and (ii) prevent access to the area of the property in a second mode, wherein the instructions include instructions to place the access control system in the first mode to permit access to the area of the property; and
transmitting the instructions to the access control system.

13. The computer-implemented method of claim 1 , wherein calculating the threshold quantity of unique identifications uses the number of persons located at the property, wherein adjusting includes one or more of (i) rounding up to a nearest whole number of persons or (ii) rounding down to a nearest whole number of persons.

14. The computer-implemented method of claim 1 , wherein determining that the quantity of the one or more unique identifications satisfies the threshold quantity of unique identifications for providing access to the area of the property comprises:
determining that the quantity of the one or more unique identifications is greater than or equal to the threshold quantity of unique identifications.

15. The computer-implemented method of claim 1 , comprising:
adjusting, using the number of persons located at the property that are authorized to enter the area of the property, the threshold quantity from a different initial threshold quantity.

16. The computer-implemented method of claim 15 , wherein adjusting the threshold quantity comprises:
determining that a first person of the number of persons located at the property is closer to an entrance of the area of the property than a second person of the number of persons located at the property, wherein first person is authorized to enter the area of the property and the first person is not authorized to enter the area of the property; and
in response to determining that the first person is closer than the second person, adjusting the threshold quantity.

17. The computer-implemented method of claim 1 , wherein calculating the threshold quantity of unique identifications comprises:
selecting a percentage from one or more percentages based on at least one of (i) a time of day, (ii) the number of persons at the property, (iii) a number of persons traveling through a second area of the property, and (iv) a type of entry to the area of the property; and
applying the percentage to the number of persons located at the property.

18. The computer-implemented method of claim 1 , wherein calculating the threshold quantity of unique identifications comprises:
providing at least

Assignees

• Alarm Com Inc

Inventors

• Nam Ki Ha

Classifications

• G06V20/52

  Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) · CPC title

• G07C9/247

  electronically, e.g. by comparing signal of hand-writing with a reference signal from the pass · CPC title

• G06T7/70 Primary

  Determining position or orientation of objects or cameras (camera calibration G06T7/80) · CPC title

• G06T2207/30242

  Counting objects in image · CPC title

• G07C9/28

  the pass enabling tracking or indicating presence · CPC title