WO2018196171A1

WO2018196171A1 - Remote viewing method, remote viewing system, and terminal

Info

Publication number: WO2018196171A1
Application number: PCT/CN2017/092672
Authority: WO
Inventors: 董黎晨
Original assignee: 深圳前海弘稼科技有限公司
Priority date: 2017-04-28
Filing date: 2017-07-12
Publication date: 2018-11-01
Also published as: CN107124585A

Abstract

Provided in the present invention are a remote viewing method, a remote viewing system, and a terminal. The remote viewing method comprises: capturing video images of crops; setting at least one crop classifying identification; analyzing and recognizing image information of the video images, classifying the video images on the basis of the image information and including in the corresponding crop classifying identification; receiving a viewing instruction of a user; and displaying the video images of the corresponding crop on the basis of the viewing instruction. The technical solution of the present invention facilitates the user to use parameters for viewing a video of interest to self, helps the user to increase efficiency, is easy to operate, enhances user experience, creates conditions for high yield, high quality, ecologically-friendly, and safe crops, is expensive, and increases revenue.

Description

Remote viewing method and remote viewing system, terminal

The present application claims priority to Chinese Patent Application No. 2009102936325, entitled "Remote Viewing Method and Remote Viewing System, Terminal", filed on April 28, 2017, the entire contents of which is incorporated herein by reference. in.

Technical field

The present invention relates to the field of intelligent cloud technologies, and in particular, to a remote viewing method, a remote viewing system, a terminal, a computer device, a computer readable storage medium, and a remote monitoring related The terminal of the application software.

Background technique

The current remote viewing function presents the growth of all fruits and vegetables to the user. In the case of a large greenhouse and a large number of cameras, users can not only select the parts of their interest to view, to find their own interests, need to browse a lot of information and choose from them, the efficiency is very low.

Summary of the invention

The present invention aims to solve at least one of the technical problems existing in the prior art or related art.

To this end, a first object of the present invention is to propose a remote viewing method.

A second object of the present invention is to provide a remote viewing system.

A third object of the present invention is to propose a terminal.

A fourth object of the present invention is to propose a computer device.

A fifth object of the present invention is to provide a computer readable storage medium.

A sixth object of the present invention is to provide a terminal having application software related to remote monitoring.

In view of this, according to a first object of the present invention, a remote viewing method is provided, comprising: collecting a video image of a crop; setting at least one crop classification identifier; analyzing the identification view The image information of the frequency image is classified according to the image information, and is included in the corresponding crop classification identifier; the user's viewing instruction is received; and the video image of the corresponding crop is displayed according to the viewing instruction.

According to the remote viewing method of the present invention, the video images of the crops are collected and analyzed to classify the video images into corresponding crop classification labels, and when the user views, only the corresponding crop classification identifiers are selected. You can view only the video images you want to see, help users improve efficiency, and operate easily, enhance the user experience. At the same time, create conditions for high yield, quality, ecology and safety of crops, reduce costs and increase profits. For example, a camera is installed on the top of a vegetable planting greenhouse, and an image or video of vegetables in the greenhouse is collected through a camera, and then transmitted to the terminal through a wireless network in real time, the terminal receives and stores data, and automatically identifies the type of the collected vegetables by using image recognition technology. Attributes, such as tomatoes or lettuce, and labeling their growth status, users can see the real-time picture in the greenhouse on the smart device, and input the selection command according to the actual situation, only view the picture of a greenhouse they want to see. Or a picture of a certain area in the greenhouse, so as to grasp the growth of the crop at the first time, to achieve effective management by adopting effective management means, such as automatic ventilation.

In addition, according to the above remote viewing method of the present invention, it is also possible to have the following additional technical features:

In the above technical solution, preferably, the method further includes: classifying the at least one crop corresponding to the video image into a form; the crop classification identifier includes a crop category and a crop attribute.

In this technical solution, by generating a table by categorizing at least one crop corresponding to the video image, preferably, the categories and attributes of the obtained crops are displayed in the form of a table and/or a label, and the user can intuitively understand the collected The crop information also provides users with a variety of screening conditions. When the user views, directly click on a label or click on a certain attribute in the form, the operation is very simple.

In any of the above technical solutions, preferably, the viewing instruction includes a screening condition set by the user, and the screening condition includes at least one crop classification identifier.

In this technical solution, the user's viewing instruction is actually a screening condition set by the user, by selecting at least one crop classification identifier, preferably selecting at least one crop image category and/or crop image attribute, the user may Production needs or their own interests View it to achieve precise, personalized management and efficiency.

In any of the above technical solutions, preferably, analyzing the image information of the video image, classifying the video image according to the image information, and incorporating the corresponding crop classification identifier comprises: identifying and analyzing the video image; determining the video The category and attributes of the image; the video image is included under the corresponding crop classification identifier based on the category and attributes of the video image.

In the technical solution, the captured video image is identified and analyzed to determine the category and attribute of the video image, so that the video image is included in the corresponding crop classification identifier.

In any of the above technical solutions, preferably, the category of the crop image includes at least one of the following or a combination thereof: a fruit, a vegetable, a fungus, a grain; the attribute of the crop image includes at least one of the following or a combination thereof: a name , region, maturity.

In this technical solution, the categories of crops include, but are not limited to, at least one of the following or a combination thereof: fruits, vegetables, fungi, foods; attributes of crop images include, but are not limited to, at least one of the following or a combination thereof: , region, maturity. In practical applications, the user can set the category and attribute of the crop independently, and comprehensively and meticulously set the categories and attributes to help the image recognition to be more precise. Preferably, the vegetables may also be specifically classified into leafy vegetables, root vegetables, stem vegetables, cauliflowers, fruits and vegetables, and the like.

In any of the above technical solutions, preferably, the video image of the crop is collected, and the video image of the crop is collected in real time; and the video image of the corresponding crop is displayed to display a real-time video image of the corresponding crop. This ensures the real-time nature of the video image, which helps to achieve precise management of agriculture and enhance the user experience.

According to a second object of the present invention, a remote viewing system is provided, comprising: an acquisition unit for collecting a video image of a crop; a setting unit for setting at least one crop classification identifier; and an identification unit for The image information of the identified video image is analyzed, the video image is classified according to the image information, and is included in the corresponding crop classification identifier; the receiving unit is configured to receive a viewing instruction of the user; and the display unit is configured to display the corresponding crop according to the viewing instruction Video image.

According to the remote viewing system of the present invention, the video images of the crops are collected and analyzed to classify the video images into corresponding crop classification labels, and when the user views, only the corresponding crop classification identifiers are selected. You can just view the video image you want to see, help Help users improve efficiency, and easy to operate, enhance user experience, at the same time, create conditions for high yield, quality, ecology and safety of crops, reduce costs and increase profits. For example, a camera is installed on the top of a vegetable planting greenhouse, and an image or video of vegetables in the greenhouse is collected through a camera, and then transmitted to the terminal through a wireless network in real time, the terminal receives and stores data, and automatically identifies the type of the collected vegetables by using image recognition technology. Attributes, such as tomatoes or lettuce, and labeling their growth status, users can see the real-time picture in the greenhouse on the smart device, and input the selection command according to the actual situation, only view the picture of a greenhouse they want to see. Or a picture of a certain area in the greenhouse, so as to grasp the growth of the crop at the first time, to achieve effective management by adopting effective management means, such as automatic ventilation.

In the above technical solution, preferably, the method further includes: a generating unit, configured to classify the at least one crop corresponding to the video image into a form; the crop classification identifier includes a crop category and a crop attribute.

In this technical solution, the user's viewing instruction is actually a screening condition set by the user, by selecting at least one crop classification identifier, preferably selecting at least one crop image category and/or crop image attribute, the user may The production needs to be viewed with their own interests, so as to achieve precise and personalized management and improve efficiency.

In this technical solution, the categories of crops include, but are not limited to, at least one of the following or a combination thereof: fruits, vegetables, fungi, foods; attributes of crop images include, but are not limited to, at least one of the following or a combination thereof: , region, maturity. In practical applications, users can set up their own farmers. Crop categories and attributes, comprehensively and meticulously set categories and attributes to help more accurate image recognition. Preferably, the vegetables may also be specifically classified into leafy vegetables, root vegetables, stem vegetables, cauliflowers, fruits and vegetables, and the like.

In any of the above technical solutions, preferably, the identifying unit is specifically configured to: perform recognition and analysis on the video image; determine a category and an attribute of the video image; and include the video image into the corresponding crop classification identifier according to the category and attribute of the video image. under.

In any of the above technical solutions, preferably, the video image in the acquisition unit and/or the display unit is a real-time video image. This ensures the real-time nature of the video image, which helps to achieve precise management of agriculture and enhance the user experience.

According to a third object of the present invention, a terminal is provided, comprising a remote viewing system as in any of the above technical solutions.

According to the terminal of the present invention, a video image of a crop is collected and analyzed by a remote viewing system to classify the video image into a corresponding crop classification mark, and when the user views, only the corresponding crop classification is selected. With the logo, you can view only the growth of the crops you want to see, help users improve efficiency, and operate easily, enhance the user experience. At the same time, create conditions for high yield, quality, ecology and safety of crops, reduce costs and increase profits. . Specifically, the terminal includes a mobile phone, a computer, and the like.

According to a fourth object of the present invention, a computer apparatus is provided, comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, the processor performing the following steps: collecting the crops Video image; setting at least one crop classification identifier; analyzing and identifying image information of the video image, classifying the video image according to the image information, and incorporating the corresponding crop classification identifier; receiving the user's viewing instruction; displaying the corresponding according to the viewing instruction Video image of the crop.

According to the computer device of the present invention, the video image of the crop is collected and analyzed to classify the video image into the corresponding crop classification identifier, and when the user views, only the corresponding crop classification identifier is selected. You can view only the growth of crops you want to see, help users improve efficiency, and operate easily, enhancing the user experience. At the same time, Produce conditions for high yield, high quality, ecology and safety of crops, reduce costs and increase profits. For example, a camera is installed on the top of a vegetable planting greenhouse, and an image or video of vegetables in the greenhouse is collected through a camera, and then transmitted to the terminal through a wireless network in real time, the terminal receives and stores data, and automatically identifies the type of the collected vegetables by using image recognition technology. Attributes, such as tomatoes or lettuce, and labeling their growth status, users can see the real-time picture in the greenhouse on the smart device, and input the selection command according to the actual situation, only view the picture of a greenhouse they want to see. Or a picture of a certain area in the greenhouse, so as to grasp the growth of the crop at the first time, to achieve effective management by adopting effective management means, such as automatic ventilation.

In the above technical solution, preferably, when the processor executes the computer program, the method further comprises: classifying the at least one crop corresponding to the video image into a form; the crop classification identifier comprises a crop category and a crop attribute.

In any one of the above aspects, preferably, the viewing instruction includes a screening condition set by the user, the screening condition includes at least one crop classification identifier; the category of the crop image includes at least one of the following or a combination thereof: fruits, vegetables, bacteria Classes, foods; attributes of crop images include at least one of the following or a combination thereof: name, region, maturity.

In this technical solution, the user's viewing instruction is actually a screening condition set by the user. By selecting at least one crop classification identifier, preferably, selecting at least one category of the crop image and/or the attribute of the crop image can be based on the actual Production needs or their own interests to view, to achieve accurate, personalized management, and improve efficiency.

The category of the crop includes, but is not limited to, at least one of the following or a combination thereof: fruits, vegetables, fungi, food; the attributes of the crop image include but are not limited to at least one of the following or a combination thereof: name, region, maturity degree. In practical applications, the user can set the category and attribute of the crop independently, and comprehensively and meticulously set the categories and attributes to help the image recognition to be more precise. Preferably, the vegetables can also be specifically divided into leafy vegetables, root vegetables, stem vegetables, cauliflowers, fruits and vegetables. Wait.

According to a fifth object of the present invention, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of: collecting a video image of a crop; setting at least one crop classification Identifying and identifying the image information of the video image, classifying the video image according to the image information, and incorporating the corresponding crop classification identifier; receiving the user's viewing instruction; displaying the video image of the corresponding crop according to the viewing instruction.

According to the computer readable storage medium of the present invention, the video image of the crop is collected and analyzed to classify the video image into the corresponding crop classification identifier, and when the user views, only the corresponding crop classification is selected. With the logo, you can view only the growth of the crops you want to see, help users improve efficiency, and operate easily, enhance the user experience. At the same time, create conditions for high yield, quality, ecology and safety of crops, reduce costs and increase profits. . For example, a camera is installed on the top of a vegetable planting greenhouse, and an image or video of vegetables in the greenhouse is collected through a camera, and then transmitted to the terminal through a wireless network in real time, the terminal receives and stores data, and automatically identifies the type of the collected vegetables by using image recognition technology. Attributes, such as tomatoes or lettuce, and labeling their growth status, users can see the real-time picture in the greenhouse on the smart device, and input the selection command according to the actual situation, only view the picture of a greenhouse they want to see. Or a picture of a certain area in the greenhouse, so as to grasp the growth of the crop at the first time, to achieve effective management by adopting effective management means, such as automatic ventilation.

In the above technical solution, preferably, when the computer program is executed by the processor, the following is also implemented: The at least one crop corresponding to the video image is classified into a generation form; the crop classification indicator includes a crop category and a crop attribute.

In this technical solution, the user's viewing instruction is actually a screening condition set by the user, and by selecting at least one crop classification identifier, preferably, selecting the category of the crop image and/or the attribute of the crop image can be based on actual production needs. Or view your own interests to achieve precise, personalized management and efficiency.

The category of the crop includes, but is not limited to, at least one of the following or a combination thereof: fruits, vegetables, fungi, food; the attributes of the crop image include but are not limited to at least one of the following or a combination thereof: name, region, maturity degree. In practical applications, the user can set the category and attribute of the crop independently, and comprehensively and meticulously set the categories and attributes to help the image recognition to be more precise. Preferably, the vegetables may also be specifically classified into leafy vegetables, root vegetables, stem vegetables, cauliflowers, fruits and vegetables, and the like.

In any of the above technical solutions, preferably, the video image of the crop is collected, the video image of the crop is collected in real time; the video image of the corresponding crop is displayed, and the corresponding crop is displayed. Real-time video image of the object. This ensures the real-time nature of the video image, which helps to achieve precise management of agriculture and enhance the user experience.

According to a sixth object of the present invention, a terminal having application software related to remote monitoring is provided, comprising: a processor, a memory, an input device, and an output device, wherein the processor calls an operation instruction stored in the memory, The utility model is configured to: collect a video image of a crop; set at least one crop classification identifier; analyze and identify image information of the video image, classify the video image according to the image information, and include the corresponding crop classification identifier; receive the user's View instructions; display the corresponding crop video image according to the viewing instructions.

The terminal having the application software related to the remote monitoring according to the present invention collects and analyzes the video image of the crop crop to classify the video image into the corresponding crop classification identifier, and when the user views, only selects By categorizing the crops, you can view only the growth of the crops you want to see, help users improve efficiency, and operate easily, enhance the user experience, and at the same time create conditions for high yield, quality, ecology and safety of crops. Reduce costs and increase revenue. For example, a camera is installed on the top of a vegetable planting greenhouse, and an image or video of vegetables in the greenhouse is collected through a camera, and then transmitted to the terminal through a wireless network in real time, the terminal receives and stores data, and automatically identifies the type of the collected vegetables by using image recognition technology. Attributes, such as tomatoes or lettuce, and labeling their growth status, users can see the real-time picture in the greenhouse on the smart device, and input the selection command according to the actual situation, only view the picture of a greenhouse they want to see. Or a picture of a certain area in the greenhouse, so as to grasp the growth of the crop at the first time, to achieve effective management by adopting effective management means, such as automatic ventilation.

In the above technical solution, preferably, the processor is further configured to: generate a table by classifying at least one crop corresponding to the video image by using an operation instruction stored in the memory; the crop classification identifier includes a crop category and a crop attribute. .

Additional aspects and advantages of the invention will be apparent from the description of the invention.

DRAWINGS

The above and/or additional aspects and advantages of the present invention are described in connection with the embodiments of the accompanying drawings The description will become obvious and easy to understand, where:

FIG. 1 is a flow chart showing a remote viewing method according to an embodiment of the invention;

2 is a flow chart showing a remote viewing method according to another embodiment of the present invention;

FIG. 3 is a flow chart showing a remote viewing method according to still another embodiment of the present invention; FIG.

4 shows a schematic block diagram of a remote viewing system in accordance with an embodiment of the present invention;

Figure 5 shows a schematic block diagram of a remote viewing system in accordance with another embodiment of the present invention;

Figure 6 shows a schematic block diagram of a terminal in accordance with an embodiment of the present invention;

FIG. 7 is a schematic structural diagram of a computer device according to an embodiment of the present invention; FIG.

FIG. 8 is a block diagram showing the structure of a terminal having application software related to remote monitoring according to an embodiment of the present invention.

detailed description

The present invention will be further described in detail below with reference to the drawings and specific embodiments. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict.

In the following description, numerous specific details are set forth in order to provide a full understanding of the invention, but the invention may be practiced otherwise than as described herein. Limitations of the embodiments.

As shown in FIG. 1, a schematic flowchart of a remote viewing method according to an embodiment of the present invention. The remote viewing method includes:

Step 102: Collect a video image of the crop;

Step 104: Set at least one crop classification identifier;

Step 106, analyzing image information of the identified video image, classifying the video image according to the image information, and incorporating the corresponding crop classification identifier;

Step 108: Receive a viewing instruction of a user.

Step 110: Display a video image of the corresponding crop according to the viewing instruction.

According to the remote viewing method of the present invention, the video images of the crops are collected and analyzed to classify the video images into corresponding crop classification labels, and when the user views, only the corresponding crop classification identifiers are selected. You can just see the growth of the crop you want to see. The situation helps users to improve efficiency, and is easy to operate and enhance the user experience. At the same time, it creates conditions for high yield, high quality, ecology and safety of crops, reducing costs and increasing profits. For example, a camera is installed on the top of a vegetable planting greenhouse, and an image or video of vegetables in the greenhouse is collected through a camera, and then transmitted to the terminal through a wireless network in real time, the terminal receives and stores data, and automatically identifies the type of the collected vegetables by using image recognition technology. Attributes, such as tomatoes or lettuce, and labeling their growth status, users can see the real-time picture in the greenhouse on the smart device, and input the selection command according to the actual situation, only view the picture of a greenhouse they want to see. Or a picture of a certain area in the greenhouse, so as to grasp the growth of the crop at the first time, to achieve effective management by adopting effective management means, such as automatic ventilation.

2 is a flow chart of a remote viewing method according to another embodiment of the present invention. The remote viewing method includes:

Step 202: Collect a video image of the crop;

Step 204: Set at least one crop classification identifier;

Step 206, analyzing image information of the identified video image, classifying the video image according to the image information, and incorporating the corresponding crop classification identifier;

Step 208: The at least one crop corresponding to the video image is classified into a mark generation form; the crop classification mark includes a crop category and a crop attribute;

Step 210: Receive a viewing instruction of a user.

Step 212: Display a video image of the corresponding crop according to the viewing instruction.

In this embodiment, by generating a table by categorizing at least one crop corresponding to the video image, preferably, the categories and attributes of the obtained crops are displayed in the form of a table and/or a label, and the user can intuitively understand the collection. The crop information also provides users with a variety of screening conditions. When the user views, directly click on a label or click on a certain attribute in the form, the operation is very simple.

In any of the above embodiments, preferably, the viewing instruction includes a screening condition set by the user, and the screening condition includes at least one crop classification identifier.

In this embodiment, the user's viewing instruction is actually a screening condition set by the user, by selecting at least one crop categorization identifier, preferably selecting a category of the crop image and/or an attribute of the crop image, the user may be based on actual production Need to view it with your own interests, Thereby achieving precise and personalized management and improving efficiency.

As shown in FIG. 3, a schematic flowchart of a remote viewing method according to still another embodiment of the present invention. The remote viewing method includes:

Step 302, collecting a video image of the crop;

Step 304, setting at least one crop classification identifier;

Step 306: Performing recognition and analysis on the video image by using the computer; determining the category and attribute of the video image; and including the video image into the corresponding crop classification identifier according to the category and attribute of the video image;

Step 308: categorize at least one crop corresponding to the video image into a form to generate a form; the crop classification mark includes a crop category and a crop attribute;

Step 310: Receive a viewing instruction of a user.

Step 312, displaying a video image of the corresponding crop according to the viewing instruction.

In this embodiment, the captured video image is subjected to recognition analysis by a computer to determine the category and attributes of the video image, thereby causing the video image to be included in the corresponding crop classification identifier.

In any of the above embodiments, preferably, the category of the crop image comprises at least one of the following or a combination thereof: a fruit, a vegetable, a fungus, a grain; the attributes of the crop image include at least one of the following or a combination thereof: a name , region, maturity.

In this embodiment, the category of the crop includes, but is not limited to, at least one of the following or a combination thereof: fruits, vegetables, fungi, foods; attributes of the crop image include, but are not limited to, at least one of the following or a combination thereof: , region, maturity. In practical applications, the user can set the category and attribute of the crop independently, and comprehensively and meticulously set the categories and attributes to help the image recognition to be more precise. Preferably, the vegetables may also be specifically classified into leafy vegetables, root vegetables, stem vegetables, cauliflowers, fruits and vegetables, and the like.

In any of the above embodiments, preferably, the video image of the crop is collected to capture a video image of the crop in real time; and the video image of the corresponding crop is displayed to display a real-time video image of the corresponding crop. This ensures the real-time nature of the video image, which helps to achieve precise management of agriculture and enhance the user experience.

As shown in Figure 4, a schematic block diagram of a remote viewing system in accordance with an embodiment of the present invention. Its The remote viewing system 400 includes:

The collecting unit 402 is configured to collect a video image of the crop;

a setting unit 404, configured to set at least one crop classification identifier;

The identifying unit 406 is configured to analyze image information of the identified video image, classify the video image according to the image information, and include the corresponding crop classification identifier;

The receiving unit 408 is configured to receive a viewing instruction of the user.

The display unit 410 is configured to display a video image of the corresponding crop according to the viewing instruction.

The remote viewing system 400 according to the present invention collects and analyzes the video images of the crops to classify the video images into corresponding crop classification labels. When the user views, only the corresponding crop classification identifiers are selected. You can view only the growth of crops you want to see, help users improve efficiency, and operate easily, enhance the user experience. At the same time, create conditions for high yield, quality, ecology and safety of crops, reduce costs and increase profits. For example, a camera is installed on the top of a vegetable planting greenhouse, and an image or video of vegetables in the greenhouse is collected through a camera, and then transmitted to the terminal through a wireless network in real time, the terminal receives and stores data, and automatically identifies the type of the collected vegetables by using image recognition technology. Attributes, such as tomatoes or lettuce, and labeling their growth status, users can see the real-time picture in the greenhouse on the smart device, and input the selection command according to the actual situation, only view the picture of a greenhouse they want to see. Or a picture of a certain area in the greenhouse, so as to grasp the growth of the crop at the first time, to achieve effective management by adopting effective management means, such as automatic ventilation.

As shown in FIG. 5, a schematic block diagram of a remote viewing system in accordance with another embodiment of the present invention. The remote viewing system 500 includes:

The collecting unit 502 is configured to collect a video image of the crop;

a setting unit 504, configured to set at least one crop classification identifier;

The identifying unit 506 is configured to analyze image information of the identified video image, classify the video image according to the image information, and include the corresponding crop classification identifier;

a generating unit 508, configured to classify at least one crop corresponding to the video image into a form; the crop classification identifier includes a crop category and a crop attribute;

The receiving unit 510 is configured to receive a viewing instruction of the user.

The display unit 512 is configured to display a video image of the corresponding crop according to the viewing instruction.

In this embodiment, the user's viewing instruction is actually a screening condition set by the user, by selecting at least one crop categorization identifier, preferably selecting a category of the crop image and/or an attribute of the crop image, the user may be based on actual production Need to be viewed with your own interests to achieve precise, personalized management and efficiency.

In any of the above embodiments, preferably, the identifying unit 506 is specifically configured to: perform a recognition analysis on the video image by using a computer; determine a category and an attribute of the video image; and include the video image into the corresponding crop according to the category and attribute of the video image. Under the categorization logo.

In any of the above embodiments, preferably, the video image in acquisition unit 502 and/or display unit 512 is a live video image. This ensures the real-time nature of the video image, which helps to achieve precise management of agriculture and enhance the user experience.

As shown in FIG. 6, a schematic block diagram of a terminal in accordance with an embodiment of the present invention. The terminal 600 includes: a remote viewing system 602 including any of the above embodiments.

According to the terminal 600 of the present invention, the video image of the crop is collected and analyzed by the remote viewing system 602 to classify the video image into the corresponding crop classification identifier, and when the user views, only the corresponding crop is selected. By categorizing the logo, you can view only the growth of the crop you want to see, help users improve efficiency, and operate easily, enhance the user experience. At the same time, create conditions for high yield, quality, ecology and safety of crops, reduce costs, increase income. Specifically, the terminal includes a mobile phone, a computer, and the like.

FIG. 7 is a schematic structural diagram of a computer device according to an embodiment of the present invention. The computer device 700 includes a memory 702, a processor 704, and a computer program stored on the memory 702 and executable on the processor 704. When the processor executes the computer program, the following steps are implemented:

Collecting video images of crops;

Setting at least one crop classification indicator;

The image information of the video image is analyzed and classified, and the video image is classified according to the image information, and is included in the corresponding crop classification mark;

Receiving a viewing instruction of the user;

A video image of the corresponding crop is displayed according to the viewing instructions.

The computer device 700 according to the present invention collects and analyzes the video images of the crops to classify the video images into the corresponding crop classification labels, and when the user views, only the corresponding crop classification identifiers are selected. You can view the growth of crops you want to see, help users improve efficiency, and operate easily, enhance the user experience. At the same time, create conditions for high yield, quality, ecology and safety of crops, reduce costs and increase profits. For example, a camera is installed on the top of a vegetable planting greenhouse, and an image or video of vegetables in the greenhouse is collected through a camera, and then transmitted to the terminal through a wireless network in real time, the terminal receives and stores data, and automatically identifies the type of the collected vegetables by using image recognition technology. Attributes, such as tomatoes or lettuce, and labeling their growth status, users can see the real-time picture in the greenhouse on the smart device, and input the selection command according to the actual situation, only view the picture of a greenhouse they want to see. , or a picture of a certain area in the greenhouse, so that the first time to grasp the growth of the crop, Accurate management is achieved by adopting effective management methods such as automatic ventilation.

In the above embodiment, preferably, when the processor 704 executes the computer program, the method further comprises: classifying the at least one crop corresponding to the video image into a form; the crop classification identifier comprises a crop category and a crop attribute.

In any of the above embodiments, preferably, the viewing instruction comprises a screening condition set by the user, the screening condition comprises at least one crop classification identifier; the category of the crop image comprises at least one of the following or a combination thereof: fruit, vegetable, bacteria Classes, foods; attributes of crop images include at least one of the following or a combination thereof: name, region, maturity.

In any of the above embodiments, preferably, analyzing the image information of the video image, classifying the video image according to the image information, and incorporating the corresponding crop classification identifier comprises: identifying and analyzing the video image by using a computer; Determine the category and attributes of the video image; according to the category and attributes of the video image, the video image is included under the corresponding crop classification identifier.

In this embodiment, the captured video image is identified and analyzed by a computer to determine the category and attribute of the video image, thereby including the video image into the corresponding crop classification identifier. under.

One embodiment of the present invention provides a computer readable storage medium having stored thereon a computer program that, when executed by a processor, implements the steps of: capturing a video image of a crop; setting at least one crop classification identifier; analyzing Identifying the image information of the video image, classifying the video image according to the image information, and incorporating the corresponding crop classification identifier; receiving the user's viewing instruction; displaying the video image of the corresponding crop according to the viewing instruction.

According to the computer readable storage medium of the present invention, the video image of the crop is collected and analyzed to classify the video image into the corresponding crop classification identifier, and when the user views, only the corresponding crop classification is selected. The logo, when viewed by the user, can only view the growth of the crops that he wants to see, help the user to improve efficiency, and is easy to operate, enhance the user experience, and at the same time, create conditions for the high yield, quality, ecology and safety of crops. Reduce costs and increase revenue. For example, a camera is installed on the top of a vegetable planting greenhouse, and an image or video of vegetables in the greenhouse is collected through a camera, and then transmitted to the terminal through a wireless network in real time, the terminal receives and stores data, and automatically identifies the type of the collected vegetables by using image recognition technology. Attributes, such as tomatoes or lettuce, and labeling their growth status, users can see the real-time picture in the greenhouse on the smart device, and input the selection command according to the actual situation, only view the picture of a greenhouse they want to see. Or a picture of a certain area in the greenhouse, so as to grasp the growth of the crop at the first time, to achieve effective management by adopting effective management means, such as automatic ventilation.

In the above embodiment, preferably, when the computer program is executed by the processor, the method further comprises: classifying the at least one crop corresponding to the video image into a form; the crop classification identifier comprises a crop category and a crop attribute.

In this embodiment, by generating a table by categorizing at least one crop corresponding to the video image, preferably, the categories and attributes of the obtained crops are displayed in the form of a table and/or a label, and the user can intuitively understand the collection. Crop information, but also provides users with a variety of Filter the conditions, when the user views, directly click on a tag or click on a property in the table, the operation is very simple.

As shown in FIG. 8, a schematic structural diagram of a terminal having application software related to remote monitoring according to an embodiment of the present invention. Wherein the terminal having application software related to remote monitoring 800 includes a processor 802, a memory 804, an input device 806, and an output device 808, wherein the processor 802 performs the following operations by calling an operation instruction stored in the memory 804:

Collecting video images of crops;

Setting at least one crop classification indicator;

Receiving a viewing instruction of the user;

According to the viewing instruction, the corresponding crop video image is displayed.

The terminal 800 with application software related to remote monitoring according to the present invention collects and analyzes the video image of the crop by collecting and analyzing the video image to be included in the corresponding crop classification identifier, and when the user views, Select the corresponding crop classification label. When the user views, just select the corresponding crop classification label, you can only view the growth of the crop you want to see, help the user to improve efficiency, and easy to operate, enhance the user experience, and At the same time, it creates conditions for high yield, high quality, ecology and safety of crops, reducing costs and increasing profits. For example, a camera is installed on the top of a vegetable planting greenhouse, and an image or video of vegetables in the greenhouse is collected through a camera, and then transmitted to the terminal through a wireless network in real time, the terminal receives and stores data, and automatically identifies the type of the collected vegetables by using image recognition technology. Attributes, such as tomatoes or lettuce, and labeling their growth status, users can see the real-time picture in the greenhouse on the smart device, and input the selection command according to the actual situation, only view the picture of a greenhouse they want to see. Or a picture of a certain area in the greenhouse, so as to grasp the growth of the crop at the first time, to achieve effective management by adopting effective management means, such as automatic ventilation.

In the above embodiment, preferably, the processor 802, by calling the operation instruction stored in the memory 804, is further configured to: generate a table by classifying at least one crop corresponding to the video image; the crop classification identifier includes a crop category and Crop attributes.

In a specific embodiment, the user installs an application software with a remote monitoring function on the computer, and the application software has an image recognition function, and the computer is connected to the surveillance camera in the vegetable greenhouse through a wireless network.

Step 1: The camera collects data in real time;

Step 2: Through image recognition (processing, analysis and understanding of images with a computer to identify targets and objects of different modes), obtain the categories and attributes of the captured images, and fill in the form, as shown in Table 1. :

Table 1 image categories and attributes

Category: It is a vegetable or a fruit. It is only an example. It can also be divided according to roots, fruits, fungi, etc.

Attributes: including name, vegetable or fruit name; area, location of the camera that collects data in the greenhouse; maturity, image recognition analysis results, analysis of the growth of fruits and vegetables.

The user sets the filter criteria for viewing based on the features available in the form. Based on this condition, the results are screened and finally presented to the user. User-set filters can be set to only one item, or multiple combinations. If only fruit is selected, an image of all fruits will be presented to the user. If the user selects the watermelon & region (region1) & mature, the mature watermelons of all the designated regions will be presented to the user.

In a specific embodiment, the user installs an app with a remote monitoring function on the smart phone, and the app has an image recognition function. When the user uses the app to view the growth of crops in a large field or a greenhouse, the image of the crop is collected in real time through a remote camera, and the collected image is recognized. When the attributes and categories of the image are recognized, a label is generated, and the user directly clicks. The label allows you to directly view the crop's picture for that label. By adding types and attribute tags, users can use these parameters to view the parts they are interested in, providing users with friendly interaction and improving efficiency.

The above description is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims

A remote viewing method, comprising:

Collecting video images of crops;

Setting at least one crop classification indicator;

And analyzing the image information of the video image, classifying the video image according to the image information, and incorporating the corresponding crop classification identifier;

Receiving a viewing instruction of the user;

A video image of the corresponding crop is displayed according to the viewing instruction.
The remote viewing method according to claim 1, further comprising:

And categorizing at least one crop corresponding to the video image to generate a form;

The crop classification indicator includes a crop category and a crop attribute.
The remote viewing method according to claim 1, wherein the image information of the video image is analyzed, and the video image is classified according to the image information, and is included in a corresponding specificity of the crop classification identifier. The steps include:

Performing recognition and analysis on the video image;

Determining categories and attributes of the video image;

The video image is included under the corresponding crop classification identifier according to the category and attribute of the video image.
The remote viewing method according to claim 1, wherein

The viewing instruction includes a screening condition set by a user, the screening condition including at least one of the crop classification identifiers.
The remote viewing method according to any one of claims 1 to 4, characterized in that

The video image of the crop is collected, and the video image of the crop is collected in real time.
The remote viewing method according to any one of claims 1 to 4, characterized in that

The video image showing the corresponding crop is a real-time video image showing the corresponding crop.
A remote viewing system, comprising:

a collecting unit for collecting video images of crops;

a setting unit for setting at least one crop classification identifier;

An identification unit, configured to analyze image information of the video image, classify the video image according to the image information, and include the corresponding crop classification identifier;

a receiving unit, configured to receive a viewing instruction of the user;

And a display unit, configured to display a video image of the corresponding crop according to the viewing instruction.
The remote viewing system of claim 7, further comprising:

a generating unit, configured to classify at least one crop corresponding to the video image into a form;

The crop classification indicator includes a crop category and a crop attribute.
The remote viewing system of claim 7 wherein:

The viewing instruction includes a screening condition set by a user, the screening condition including at least one of the crop classification identifiers.
A remote viewing system according to any one of claims 7 to 9, wherein

The video images in the acquisition unit and/or display unit are real-time video images.
A terminal characterized by comprising the remote viewing system according to any one of claims 7 to 10.