Systems and methods for adjusting a monitoring device

Patent metadata

Field	Value
Publication number	US-11856285-B2
Application number	US-202217804302-A
Country	US
Kind code	B2
Filing date	May 26, 2022
Priority date	Dec 20, 2019
Publication date	Dec 26, 2023
Grant date	Dec 26, 2023

Abstract

The present disclosure relates to systems and methods for adjusting a monitoring device. The system may obtain one or more first monitoring images. The system may obtain, for each of one or more regions, a statistical value of at least one object in the region based on the one or more first monitoring images. The system may determine an adjustment instruction based on statistical values of the at least one object in the one or more regions. The system may adjust at least one monitoring setting of at least one monitoring device based on the adjustment instruction. The at least one monitoring device may be used to capture one or more second monitoring images.

First claim

What is claimed is:

1. A system, comprising:
at least one storage medium including a set of instructions; and
at least one processor in communication with the at least one storage medium, wherein when executing the set of instructions, the at least one processor is directed to cause the system to implement operations including:
obtaining one or more first monitoring images;
obtaining, for each of one or more regions, a statistical value of at least one object in the region based on the one or more first monitoring images;
determining an adjustment instruction based on the one or more statistical values of the at least one object in the one or more regions; and
adjusting at least one monitoring setting of at least one monitoring device based on the adjustment instruction, the at least one monitoring device being used to capture one or more second monitoring images.

2. The system of claim 1 , wherein the obtaining one or more first monitoring images comprises:
obtaining the one or more first monitoring images with time and location information from a third party.

3. The system of claim 1 , wherein the obtaining one or more first monitoring images comprises:
obtaining the one or more first monitoring images captured by one or more capturing devices at one or more time points.

4. The system of claim 3 , wherein the at least one processor is directed to cause the system to implement operations further including:
determining the adjustment instruction based on the one or more statistical values of the at least one object at the one or more time points by using an instruction generation model, the instruction generation model including a machine learning model.

5. The system of claim 1 , wherein the determining, for each of one or more regions, a statistical value of at least one object in the region based on the one or more first monitoring images comprises:
for each of the one or more first monitoring images,
determining a position relationship between the first monitoring image and each of the one or more regions;
determining the at least one object and position information of the at least one object in the first monitoring image by using an object recognition model; and
determining the statistical value of the at least one object in the region based on the position relationship between the first monitoring image and each of the one or more regions and the position information of the at least one object in the first monitoring image.

6. The system of claim 1 , wherein the determining an adjustment instruction based on the one or more statistical values of the at least one object in the one or more regions comprises:
determining an object quantity indicator map based on the one or more statistical values of the at least one object in the one or more regions; and
obtaining the adjustment instruction from an input device, wherein the adjustment instruction is determined by a user based on the object quantity indicator map.

7. The system of claim 1 , wherein the determining an adjustment instruction based on the one or more statistical values of the at least one object in the one or more regions comprises:
determining whether at least one statistical value satisfies a predetermined condition; and
determining the adjustment instruction based on a determination result of whether the at least one statistical value satisfies the predetermined condition.

8. The system of claim 7 , wherein:
the determination result includes that the at least one statistical value satisfies the predetermined condition; and
the determining the adjustment instruction based on the determination result includes designating, among the one or more regions, at least one region corresponding to the at least one statistical value as at least one adjusted monitoring region of the at least one monitoring device.

9. The system of claim 1 , wherein the adjusting at least one monitoring setting of at least one monitoring device based on the adjustment instruction comprises:
for each of the at least one monitoring device, determining a difference between the adjustment instruction and the at least one monitoring setting of the monitoring device; and
adjusting the at least one monitoring setting of the monitoring device based on the difference.

10. The system of claim 1 , wherein the at least one processor is directed to cause the system to implement operations further including:
adjusting the at least one monitoring device based on the at least one monitoring setting.

11. A method implemented on a computing device including at least one processor, at least one storage medium, and a communication platform connected to a network, the method comprising:
obtaining one or more first monitoring images;
obtaining, for each of one or more regions, a statistical value of at least one object in the region based on the one or more first monitoring images;
determining an adjustment instruction based on the one or more statistical values of the at least one object in the one or more regions; and
adjusting at least one monitoring setting of at least one monitoring device based on the adjustment instruction, the at least one monitoring device being used to capture one or more second monitoring images.

12. The method of claim 11 , wherein the obtaining one or more first monitoring images comprises:
obtaining the one or more first monitoring images with time and location information from a third party.

13. The method of claim 11 , wherein the obtaining one or more first monitoring images comprises:
obtaining the one or more first monitoring images captured by one or more capturing devices at one or more time points.

14. The method of claim 13 , further including:
determining the adjustment instruction based on the one or more statistical values of the at least one object at the one or more time points by using an instruction generation model, the instruction generation model including a machine learning model.

15. The method of claim 11 , wherein the determining, for each of one or more regions, a statistical value of at least one object in the region based on the one or more first monitoring images comprises:
for each of the one or more first monitoring images,
determining a position relationship between the first monitoring image and each of the one or more regions;
determining the at least one object and position information of the at least one object in the first monitoring image by using an object recognition model; and
determining the statistical value of the at least one object in the region based on the position relationship between the first monitoring image and each of the one or more regions and the position information of the at least one object in the first monitoring image.

16. The method of claim 11 , wherein the determining an adjustment instruction based on the one or more statistical values of the at least one object in the one or more regions comprises:
determining an object quantity indicator map based on the one or more statistical values of the at least one object in the one or more regions; and
obtaining the adjustment instruction from an input device, wherein the adjustment instruction is determined by a user based on the object quantity indicator map.

17. The method of claim 11 , wherein the determining an adjustment instruction based on the one or more statistical values of the at least one object in the one or more regions comprises:
determining whether at least one statistical value satisfies a predetermined condition; and
determining the adjustment i

Assignees

• Zhejiang Dahua Technology Co

Inventors

• Bi Junting

Classifications

• H04N23/61 Primary

  based on recognised objects · CPC title

• G06T7/70

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

• G06V10/22

  by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition · CPC title

• G06V20/52

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

• H04N7/18

  Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast · CPC title