CN111507211B - Pet supervision method, device, equipment and storage medium - Google Patents
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Abstract
The embodiment of the invention provides a pet supervision method, a pet supervision device, pet supervision equipment and a storage medium, which are used for detecting whether pets moving in a community are supervised by a master and move within a set time, so that the pet supervision is convenient. The method comprises the following steps: acquiring image data in a preset area range; when the acquisition time of the image data is determined to be within a first preset time period, carrying out pet detection and portrait detection based on the image data; when the pet image is detected in the image data and the pet image exists in a pre-established pet database, if the portrait detected in the image data does not comprise a target portrait, reporting alarm information is triggered, wherein the target portrait is a portrait corresponding to the pet image in the pet database, and the corresponding relationship between the pet and the portrait of the pet raiser is stored in the pet database.
Description
Technical Field
The invention relates to the technical field of cameras, in particular to a pet supervision method, a pet supervision device, pet supervision equipment and a storage medium.
Background
With the continuous development of society and the continuous improvement of living standard of people, people like to raise pets more and more. In a residential community of a city, the number of pets is large, accordingly, the supervision of the pets becomes a difficult problem in community management, and meanwhile, the excessive number of the pets can also cause problems, such as wandering animals entering the community, injuring people of the pets, and the pets are noisy at rest time. The related art provides a monitoring method for community wandering animals, whether the animals are the wandering animals or the domestic animals is judged according to whether the occurrence frequency of pedestrians reaches a threshold value or not, but due to the fact that the moving range of the animals and the pedestrians is large, only by detecting the occurrence frequency of the pedestrians around the animals, wrong judgment is often caused, and the result is inaccurate.
In summary, it is necessary to provide a pet monitoring method for detecting whether the pet moving in the community is under the supervision of the owner or moving within a predetermined time, so as to facilitate pet monitoring.
Disclosure of Invention
The embodiment of the invention provides a pet supervision method, a pet supervision device, pet supervision equipment and a storage medium, which are used for detecting whether pets moving in a community are supervised by a master and move within a set time, so that the pet supervision is convenient.
In a first aspect, an embodiment of the present invention provides a pet monitoring method, including:
acquiring image data in a preset area range;
when the acquisition time of the image data is determined to be within a first preset time period, carrying out pet detection and portrait detection based on the image data;
when the pet image is detected in the image data and the pet image exists in a pre-established pet database, if the portrait detected in the image data does not comprise a target portrait, reporting alarm information is triggered, wherein the target portrait is a portrait corresponding to the pet image in the pet database, and the corresponding relationship between the pet and the portrait of the pet raiser is stored in the pet database.
According to the pet supervision method provided by the embodiment of the invention, the image data with the acquisition time within the first preset time period is subjected to pet detection and portrait detection, and when the pet image is detected in the image data and the detected pet image exists in the pre-established pet database, if the detected portrait does not include the target portrait, the report of the alarm information is triggered. Compared with the prior art, the pet supervision method provided by the embodiment of the invention can realize the detection of whether the pet is supervised by the owner and the detection of whether the pet moves within the set time, thereby facilitating the pet supervision.
In one possible embodiment, the method further comprises:
if the detected portrait in the image data comprises the target portrait, determining a distance between a pet corresponding to the pet image and a person corresponding to the target portrait based on the image data;
and triggering and reporting alarm information when the determined distance is larger than a preset safety distance threshold value.
According to the pet supervision method provided by the embodiment of the invention, when the detected portrait is the target portrait, the distance between the pet and the person is determined, and an alarm is triggered when the distance between the pet and the person is greater than the preset safety distance threshold value, so that the pet is ensured to be attended by people.
In one possible embodiment, determining a distance between a pet corresponding to the pet image and a person corresponding to the target person image based on the image data includes:
when the pet image and the target portrait are determined to be positioned in the image data of the same image, determining the distance between the pet corresponding to the pet image and the person corresponding to the target portrait by using a preset image ranging algorithm;
in one possible embodiment, determining a distance between a pet corresponding to the pet image and a person corresponding to the target person image based on the image data includes:
and when the pet image and the target portrait are respectively positioned in the image data of the two different images, determining that the distance between the pet corresponding to the pet image and the person corresponding to the target portrait is greater than a preset safe distance threshold.
In one possible embodiment, the method further comprises:
and triggering and reporting alarm information when the pet image is detected in the image data and does not exist in the pet database.
According to the pet supervision method provided by the embodiment of the invention, the pet image detected in the determined image data does not exist in the pre-established pet database, and the report of the alarm information is triggered, so that the flow wave animals are supervised.
In one possible embodiment, the method further comprises:
when the acquisition time of the image data is determined to be within a second preset time period, pet detection is carried out based on the image data;
and triggering and reporting alarm information when the pet image is detected in the image data.
According to the pet supervision method provided by the embodiment of the invention, the image data with the acquisition time within the second preset time period is subjected to pet detection, and when the image of the pet is determined to be detected, the report of the alarm information is triggered, so that the active pet can be supervised conveniently within the non-specified pet activity time period, and community residents are prevented from being influenced.
In one possible embodiment, the method further comprises:
and periodically updating the corresponding relation between the pet and the portrait of the pet feeder in the pet database.
In a second aspect, an embodiment of the present invention provides a pet monitoring device, including:
an acquisition unit configured to acquire image data within a preset region range;
a first detection unit configured to perform pet detection and portrait detection based on the image data when it is determined that the acquisition time of the image data is within a first preset time period;
the first processing unit is configured to trigger reporting of alarm information if the portrait detected in the image data does not include a target portrait when the image data detects a pet image and the pet image exists in a pre-established pet database, wherein the target portrait is a portrait corresponding to the pet image in the pet database, and the pet database stores a corresponding relationship between the pet and the portrait of a pet feeder.
In one possible embodiment, the apparatus further comprises:
a second processing unit configured to determine, based on the image data, a distance between a pet corresponding to the pet image and a person corresponding to the target portrait if it is determined that the portrait detected in the image data includes the target portrait;
the first alarm unit is configured to trigger reporting of alarm information when the distance is determined to be greater than a preset safe distance threshold.
In a possible implementation, the second processing unit is specifically configured to:
and when the pet image and the target portrait are determined to be positioned in the image data of the same image, determining the distance between the pet corresponding to the pet image and the person corresponding to the target portrait by using a preset image ranging algorithm.
In a possible implementation, the second processing unit is specifically configured to:
and when the pet image and the target portrait are respectively positioned in the image data of the two different images, determining that the distance between the pet corresponding to the pet image and the person corresponding to the target portrait is greater than a preset safe distance threshold.
In one possible embodiment, the apparatus further comprises:
and the second alarm unit is configured to trigger reporting of alarm information when the pet image is detected in the image data and does not exist in the pet database.
In one possible embodiment, the apparatus further comprises:
a second detection unit configured to perform pet detection based on the image data when it is determined that the acquisition time of the image data is within a second preset time period;
and the third alarm unit is configured to trigger reporting of alarm information when the pet image is detected in the image data.
In one possible embodiment, the apparatus further comprises:
and the updating unit is configured to periodically update the corresponding relation between the pet and the portrait of the pet feeder in the pet database.
In a third aspect, an embodiment of the present invention provides a pet monitoring device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the pet supervision method provided by the first aspect of the embodiment of the present invention.
In a fourth aspect, embodiments of the present invention provide a storage medium, where instructions, when executed by a processor of a pet monitoring device, enable the pet monitoring device to perform the pet monitoring method provided by the first aspect of the embodiments of the present invention.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention and are not to be construed as limiting the invention.
Fig. 1 is a schematic flow chart of a pet supervision method according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a pet monitoring method applied to community monitoring according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a pet monitoring device according to an embodiment of the present invention.
Fig. 4 is a block diagram of a pet monitoring device according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
In view of the problem that the prior art cannot solve the problems that a community has a lot of pets and the pets are noisy in rest time due to the fact that the number of the pets in the community is too large, the embodiment of the invention provides a pet supervision scheme for detecting whether the pets moving in the community are supervised by a master or not and move in a set time, so that the pet supervision is convenient.
The following describes a pet monitoring method, a pet monitoring device, pet monitoring equipment and a pet monitoring storage medium in detail with reference to the accompanying drawings and specific embodiments.
Before the implementation of the embodiment of the invention, a pet database needs to be established, all the raised pets in the preset area range are subjected to file registration, including but not limited to pet images, target portraits corresponding to the pet images, home addresses where the pets are located, contact information of pet owners and the like, information of the pets and the owners is correlated, and meanwhile, the corresponding relation between the portraits of the pets and the pet raised people in the pet database is periodically updated, so that the accuracy of data in the pet database is ensured.
As shown in fig. 1, a pet supervision method provided in an embodiment of the present invention may include the following steps:
step 101, image data in a preset area range is obtained.
In specific implementation, monitoring equipment, such as a dome camera, installed in a preset area range is used for acquiring image data in the preset area range in real time.
And 102, when the acquisition time of the image data is determined to be within a first preset time period, carrying out pet detection and portrait detection based on the image data.
In specific implementation, firstly, the acquisition time of image data needs to be judged, pet detection and portrait detection are carried out based on the image data when the acquisition time of the image data is determined to be within a first preset time period, whether a pet image exists in the image is detected by using a preset animal identification algorithm, and meanwhile, comparison and identification are carried out in a pre-established pet database; and detecting whether a portrait exists in the image by using a preset portrait recognition algorithm, and comparing the portrait with a target portrait, wherein the target portrait is a portrait corresponding to the pet image in the pet database. The first preset time period is set according to an actual scene, and may be set to five points in the morning to ten points in the night in a normal case, for example.
And 103, when the pet image is detected in the image data and exists in a pre-established pet database, if the portrait detected in the image data does not comprise a target portrait, triggering and reporting the alarm information, wherein the target portrait is a portrait corresponding to the pet image in the pet database, and the corresponding relationship between the pet and the portrait of the pet raiser is stored in the pet database.
In specific implementation, after the pet image is detected in the image data, the pet image is determined to be in the pet database, and if the detected portrait in the image data does not include the target portrait, reporting of alarm information is triggered, and a pet owner is notified.
In one possible embodiment, the method further comprises:
if the detected portrait in the image data comprises the target portrait, determining a distance between a pet corresponding to the detected pet image and a person corresponding to the target portrait based on the image data;
and when the distance is determined to be larger than the preset safe distance threshold value, triggering and reporting alarm information, and informing the pet owner.
In specific implementation, when the detected pet image and the target portrait are determined to be positioned in the image data of the same image, the distance between the pet corresponding to the detected pet image and the person corresponding to the target portrait is determined by using a preset image ranging algorithm;
and when the detected pet image and the target portrait are respectively positioned in the image data of the two different images, determining that the distance between the pet corresponding to the detected pet image and the person corresponding to the target portrait is greater than a preset safe distance threshold value.
It should be noted that, because the preset area range is large, the distances between different monitoring devices are long, and the pet detection and the portrait detection are performed in the same period of time, the distance between the pet corresponding to the pet image and the person corresponding to the target portrait is detected in the same period of time, and when the pet and the owner both move, if the pet image and the target portrait are respectively located in the image data of two different images for a long time, it is determined that the distance between the pet corresponding to the detected pet image and the person corresponding to the target portrait is greater than the preset safe distance threshold.
In one possible approach, the method further comprises:
and triggering and reporting alarm information when the pet image is detected in the image data and does not exist in the pet database.
In one possible approach, the method further comprises:
when the acquisition time of the image data is determined to be within a second preset time period, pet detection is carried out based on the image data;
and triggering and reporting alarm information when the pet image is detected in the image data.
In specific implementation, when the acquisition time of the image data is determined to be within a second preset time period, pet detection is carried out based on the image data, a preset animal identification algorithm is used for detecting whether a pet image exists in the image, comparison and identification are carried out in a pet database, and when the pet image is detected in the image data, reporting of alarm information is triggered. The second preset time period is set according to the actual scene, and may be set to be eleven points at night to five points in the morning on the next day in a normal case, for example.
It should be noted that, when the pet image exists in the pet database, the pet owner is notified by sending a short message, making a phone call and the like after the report of the alarm information is triggered; and when the pet image does not exist in the pet database, only reporting the alarm information is triggered.
As shown in FIG. 2, the pet monitoring method provided by the embodiment of the invention is applied to community monitoring, and the pet monitoring method provided by the embodiment of the invention is described in detail by referring to FIG. 2 as a specific example.
Step 201, image data in a community range is obtained.
Step 202, dividing the acquired image data into image data in a first preset time period and image data in a second preset time period according to the acquisition time.
And 203, when the acquisition time of the image data is determined to be within a first preset time period, carrying out pet detection and portrait detection based on the image data.
Step 204, judging whether the detected pet image exists in the originally established pet database, if so, executing step 205; if not, triggering and reporting the alarm information.
Step 205, determining whether the detected portrait is a target portrait, wherein the target portrait is a portrait of a pet image object in the pet database, if so, executing step 206, and if not, triggering to report alarm information.
At step 206, a distance between the pet corresponding to the detected pet image and the person corresponding to the target portrait is determined based on the collected image data.
And step 207, judging whether the distance between the pet corresponding to the detected pet image and the person corresponding to the target portrait is greater than a preset safe distance threshold value, and if so, triggering and reporting alarm information.
And step 208, when the acquisition time of the image data is determined to be within a second preset time period, carrying out pet detection based on the image data.
Step 209, judging whether the pet image is detected, if so, triggering and reporting the alarm information.
As shown in fig. 3, based on the same inventive concept, the embodiment of the present invention further provides a pet monitoring device, including:
an acquisition unit 3001 configured to acquire image data within a preset area range;
a first detection unit 3002 configured to perform pet detection and portrait detection based on image data when it is determined that the acquisition time of the image data is within a first preset time period;
the first processing unit 3003 is configured to, when it is determined that a pet image is detected in the image data and the pet image exists in a pre-established pet database, trigger reporting of the warning information if it is determined that the portrait detected in the image data does not include a target portrait, where the target portrait is a portrait in the pet database corresponding to the pet image, and a correspondence relationship between the pet and a portrait of a pet keeper is stored in the pet database.
In one possible embodiment, the apparatus further comprises:
a second processing unit 3004 configured to determine, based on the image data, a distance between a pet corresponding to the pet image and a person corresponding to the target portrait if it is determined that the portrait detected in the image data includes the target portrait;
and the first alarm unit 3005 is configured to trigger reporting of alarm information when the distance is determined to be greater than the preset safe distance threshold.
In a possible implementation, the second processing unit 3004 is specifically configured to:
and when the pet image and the target portrait are determined to be positioned in the image data of the same image, determining the distance between the pet corresponding to the pet image and the person corresponding to the target portrait by using a preset image ranging algorithm.
In a possible implementation, the second processing unit 3004 is specifically configured to:
and when the pet image and the target portrait are respectively positioned in the image data of the two different images, determining that the distance between the pet corresponding to the pet image and the person corresponding to the target portrait is greater than a preset safe distance threshold.
In one possible embodiment, the apparatus further comprises:
and a second alarm unit 3006 configured to trigger reporting of alarm information when it is determined that the pet image is detected in the image data and the pet image does not exist in the pet database.
In one possible embodiment, the apparatus further comprises:
a second detection unit 3007 configured to perform pet detection based on the image data when it is determined that the acquisition time of the image data is within a second preset time period;
and a third alarm unit 3008 configured to trigger reporting of alarm information when it is determined that the pet image is detected in the image data.
In one possible embodiment, the apparatus further comprises:
an updating unit 3009 configured to periodically update the correspondence relationship between the pet and the portrait of the pet feeder in the pet database.
Based on the same concept of the above-mentioned embodiment of the present invention, fig. 4 is a block diagram of a pet monitoring device according to an exemplary embodiment, and as shown in fig. 4, a pet monitoring device 4000 according to an embodiment of the present invention includes:
a processor 4010;
a memory 4020 for storing instructions executable by the processor 4010;
wherein, the processor 4010 is configured to execute the instructions to implement the pet supervision method in the embodiment of the present invention.
In an exemplary embodiment, there is also provided a storage medium comprising instructions, for example, the memory 4020 comprising instructions executable by the processor 4010 of the apparatus 4000 to perform the above method. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
In addition, in an exemplary embodiment, an embodiment of the present invention further provides a storage medium, and when instructions in the storage medium are executed by a processor of the pet monitoring device, the pet monitoring apparatus is enabled to implement the pet monitoring method in the embodiment of the present invention.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (8)
1. A method for supervising a pet, the method comprising:
acquiring image data within a preset area range, wherein the image data is acquired by a plurality of monitoring devices within the preset area range;
when the acquisition time of the image data is determined to be within a first preset time period, carrying out pet detection and portrait detection based on the image data;
when a pet image is detected in the image data and the pet image exists in a pre-established pet database, if the fact that the portrait detected in the image data does not include a target portrait is determined, reporting of alarm information is triggered, wherein the target portrait is a portrait corresponding to the pet image in the pet database, and the corresponding relation between the pet and the portrait of a pet raiser is stored in the pet database;
if the detected portrait in the image data comprises the target portrait, determining the distance between the pet corresponding to the pet image and the person corresponding to the target portrait based on the image data;
triggering and reporting alarm information when the distance is determined to be larger than a preset safety distance threshold value;
wherein the determining a distance between the pet corresponding to the pet image and the person corresponding to the target portrait based on the image data comprises:
when the pet image and the target portrait are determined to be respectively located in image data shot by two different monitoring devices, it is determined that the distance between the pet corresponding to the pet image and the person corresponding to the target portrait is greater than the preset safe distance threshold, and the distance between the two different monitoring devices is greater than the preset safe distance threshold.
2. The method of claim 1, wherein determining a distance between the pet corresponding to the pet image and the person corresponding to the target avatar based on the image data further comprises:
and when the pet image and the target portrait are determined to be positioned in the image data of the same image, determining the distance between the pet corresponding to the pet image and the person corresponding to the target portrait by using a preset image ranging algorithm.
3. The method of claim 1, further comprising:
and triggering and reporting alarm information when the pet image is detected in the image data and does not exist in the pet database.
4. The method of claim 1, further comprising:
when the acquisition time of the image data is determined to be within a second preset time period, pet detection is carried out based on the image data;
and triggering and reporting alarm information when determining that the pet image is detected in the image data.
5. The method of claim 1, further comprising:
and periodically updating the corresponding relation between the pet and the portrait of the pet feeder in the pet database.
6. A pet supervision device, characterized in that the device comprises:
the monitoring device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is configured to acquire image data in a preset area range, and the image data is acquired by a plurality of monitoring devices in the preset area range;
a first detection unit configured to perform pet detection and portrait detection based on the image data when it is determined that the acquisition time of the image data is within a first preset time period;
the pet image processing device comprises a first processing unit, a second processing unit and a third processing unit, wherein the first processing unit is configured to trigger reporting of alarm information if the fact that a portrait detected in image data does not include a target portrait when the image data detects a pet image and the pet image exists in a pre-established pet database is determined, the target portrait is a portrait corresponding to the pet image in the pet database, and the pet database stores the corresponding relation between the pet and the portrait of a pet feeder;
a second processing unit configured to determine, based on the image data, a distance between a pet corresponding to the pet image and a person corresponding to the target portrait if it is determined that the portrait detected in the image data includes the target portrait;
the first alarm unit is configured to trigger reporting of alarm information when the distance is determined to be greater than a preset safe distance threshold;
the second processing unit is specifically configured to determine that, when it is determined that the pet image and the target portrait are respectively located in image data captured by two different monitoring devices, a distance between a pet corresponding to the pet image and a person corresponding to the target portrait is greater than the preset safe distance threshold, and a distance between the two different monitoring devices is greater than the preset safe distance threshold.
7. A pet supervision device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the pet supervision method of any of claims 1 to 5.
8. A storage medium, wherein instructions in the storage medium, when executed by a processor of a pet supervision device, enable the pet supervision device to perform the pet supervision method of any of claims 1 to 5.
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| CN112562260B (en) * | 2020-12-16 | 2022-08-09 | 浙江大华技术股份有限公司 | Anti-lost method and device |
| CN113076818A (en) * | 2021-03-17 | 2021-07-06 | 浙江大华技术股份有限公司 | Pet excrement identification method and device and computer readable storage medium |
| CN115063751B (en) * | 2022-07-27 | 2023-01-06 | 深圳市海清视讯科技有限公司 | Pet leash detection method, equipment and storage medium |
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