Old people nursing method and system

Abstract

The invention provides an elderly nursing method and system, which is applied to elderly nursing services, and comprises the following steps: receiving a video link generated when a monitoring camera monitors an identification object through a message push service; acquiring user configuration information from a database; sending the video link and the user configuration information to an artificial intelligence cloud service, so that the artificial intelligence cloud service analyzes the dangerous behavior and the daily behavior of the identified object to obtain an analysis result; an analysis result sent by the artificial intelligence cloud service is received, and daily state information of the recognition object is counted according to the analysis result; comparing the daily state information with the user configuration information to obtain a comparison result; through combination of the intelligent camera and AI behavior analysis, abnormal or high-risk behaviors of the elderly can be fed back in real time and pushed to family members in time for first-time processing, so that the family members can comprehensively master the living state of the elderly, potential health risks or living abnormalities can be found in time, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the field of security technology, and in particular to a method and system for caring for the elderly. Background Art

[0002] Currently, smart camera technology allows families to monitor their elderly's living conditions in real time by installing cameras, allowing them to remotely access their phones through mobile apps, even when they're away. However, this monitoring method has its drawbacks, requiring family members to actively check their phones or watch playback to understand the elderly's situation. Therefore, elderly care systems that address both real-time performance and convenience have become a mainstream trend.

[0003] The aforementioned surveillance technology overly relies on video playback, missing opportunities for immediate intervention for the elderly. Many family members, perhaps because their cameras support playback, choose to review recordings at night or during their free time to try to understand the elderly's daily activities. This approach is essentially "passive" monitoring. Family members are unable to promptly detect abnormal behavior such as falls, prolonged sitting or lying down, or missed meals, and can only learn about these behaviors afterward through playback. This method fails to provide real-time intervention opportunities in the event of an accident or health risk. For example, if an elderly person falls or is absent from their activity area for an extended period, family members are unable to take immediate action. Furthermore, reviewing playbacks is time-consuming and laborious, making it easy to overlook critical details, further exacerbating potential risks. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a method and system for caring for the elderly, which uses a combination of smart cameras and AI behavior analysis to provide real-time feedback on abnormal or high-risk behaviors of the elderly, and promptly push them to family members for immediate processing, so that family members can fully understand the living conditions of the elderly, help to timely discover potential health risks or life abnormalities, and improve user experience.

[0005] In a first aspect, an embodiment of the present invention provides an elderly care method, which is applied to elderly care services, and the method includes:

[0006] Receive the video link generated by the surveillance camera when it monitors the identified object through the message push service;

[0007] Get user configuration information from the database;

[0008] Sending the video link and the user configuration information to an artificial intelligence cloud service, so that the artificial intelligence cloud service analyzes the dangerous behavior and daily behavior of the identified object to obtain an analysis result;

[0009] Receive the analysis result sent by the artificial intelligence cloud service, and collect daily status information of the identified object according to the analysis result;

[0010] The daily status information is compared with the user configuration information to obtain a comparison result.

[0011] Furthermore, collecting statistics of daily status information of the identified object based on the analysis results includes:

[0012] When the alarm field in the analysis result is true, the message push service sends a notification to the mobile client indicating that the identified object has fallen, and a pop-up window is displayed;

[0013] Counting the frequency of the identified object drinking water according to the analysis result;

[0014] Counting the long lying time of the identified object according to the analysis result, and accumulating the long lying time;

[0015] According to the mark field in the analysis result, it is determined that the identified object does not exist in the entire video time period, the video duration of the absence time is accumulated with the video duration, and updated in the database.

[0016] Furthermore, the daily status information is compared with the user configuration information to obtain a comparison result, including:

[0017] When the absence time reaches a first preset time, generating an alarm message;

[0018] When the prolonged lying time reaches a second preset time, a prolonged lying alarm message is pushed;

[0019] When the frequency of drinking water is less than a preset number of times, a reminder message that water has not been drunk for a long time is pushed to the mobile client.

[0020] Furthermore, the video link and the user configuration information are sent to an artificial intelligence cloud service, so that the artificial intelligence cloud service analyzes the dangerous behavior and daily behavior of the identified object to obtain analysis results, including:

[0021] Sending the video link and the user configuration information to an artificial intelligence cloud service so that the artificial intelligence cloud service analyzes the dangerous behavior of the identified object;

[0022] Determining whether the identified object is dangerous;

[0023] If there is danger, set the alarm field to true;

[0024] Analyzing the daily behavior of the identified object;

[0025] Determining whether the identified object drinks water;

[0026] If drinking water, set to true;

[0027] Determining whether the identified object is in a user-set area;

[0028] true if in the user settings area;

[0029] false if not in the user settings area;

[0030] Determining whether the identified object has not appeared for a long time;

[0031] If it hasn't appeared for a long time, it is true;

[0032] If it has not appeared for a long time, it will be false.

[0033] Furthermore, the method further comprises:

[0034] Receive viewing request information sent by the mobile client;

[0035] Obtaining the daily behavior statistics of the identified object from the database according to the viewing request information;

[0036] The daily behavior statistics are sent to the mobile client, so that the mobile client displays the daily behavior statistics in the form of a pie chart.

[0037] Furthermore, the user configuration information includes: marked dangerous areas, alarm information of the time spent in the dangerous areas, time periods for setting alarms, alarm information of the time when the identified object has not appeared for a long time, alarm information of the frequency of drinking water of the identified object, time periods when the identified object eats, and alarm information when the identified object does not eat.

[0038] In a second aspect, an embodiment of the present invention provides an elderly care system, which is applied to elderly care services. The system includes:

[0039] A video link receiving module is used to receive the video link generated by the surveillance camera when it monitors the identified object through a message push service;

[0040] Acquisition module, used to obtain user configuration information from the database;

[0041] a sending module, configured to send the video link and the user configuration information to an artificial intelligence cloud service, so that the artificial intelligence cloud service analyzes the dangerous behavior and daily behavior of the identified object to obtain an analysis result;

[0042] An analysis result receiving module, configured to receive the analysis result sent by the artificial intelligence cloud service;

[0043] A statistics module, configured to collect statistics on daily status information of the identified object based on the analysis results;

[0044] The comparison module is used to compare the daily status information with the user configuration information to obtain a comparison result.

[0045] Furthermore, the statistics module is specifically used to:

[0046] When the alarm field in the analysis result is true, the message push service sends a notification to the mobile client indicating that the identified object has fallen, and a pop-up window is displayed;

[0047] Counting the frequency of the identified object drinking water according to the analysis result;

[0048] Counting the long lying time of the identified object according to the analysis result, and accumulating the long lying time;

[0049] According to the mark field in the analysis result, it is determined that the identified object does not exist in the entire video time period, the video duration of the absence time is accumulated with the video duration, and updated in the database.

[0050] In a third aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and the processor implements the above-mentioned method when executing the computer program.

[0051] In a fourth aspect, an embodiment of the present invention provides a computer-readable medium having a non-volatile program code executable by a processor, wherein the program code enables the processor to execute the method as described above.

[0052] An embodiment of the present invention provides an elderly care method and system, which are applied to elderly care services. The method includes: receiving a video link generated by a surveillance camera when monitoring an identified object through a message push service; obtaining user configuration information from a database; sending the video link and user configuration information to an artificial intelligence cloud service, so that the artificial intelligence cloud service analyzes the dangerous behavior and daily behavior of the identified object to obtain analysis results; receiving the analysis results sent by the artificial intelligence cloud service, and statistically analyzing the daily status information of the identified object based on the analysis results; comparing the daily status information with the user configuration information to obtain comparison results; utilizing a combination of smart cameras and AI behavior analysis to provide real-time feedback on abnormal or high-risk behaviors of the elderly, and promptly push them to family members for immediate processing, so that family members can fully understand the elderly's living conditions, help to promptly discover potential health risks or life abnormalities, and improve user experience.

[0053] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the present invention. The purposes and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0054] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0056] Figure 1 A flow chart of the elderly care method provided in Example 1 of the present invention;

[0057] Figure 2 A schematic diagram of an application scenario of the elderly care system provided in the first embodiment of the present invention;

[0058] Figure 3 This is a signaling diagram of the information configuration process provided in Example 1 of the present invention;

[0059] Figure 4 This is a signaling diagram of the artificial intelligence cloud service analysis process provided in Example 1 of the present invention;

[0060] Figure 5 This is a signaling diagram of the elderly care service analysis process provided in Example 1 of the present invention;

[0061] Figure 6 This is a schematic diagram of an elderly care system provided in Example 2 of the present invention. DETAILED DESCRIPTION

[0062] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0063] To facilitate understanding of this embodiment, the embodiment of the present invention is described in detail below.

[0064] Example 1:

[0065] Figure 1 This is a flow chart of the elderly care method provided in Example 1 of the present invention.

[0066] Reference Figure 1 , applied to elderly care services, the method includes the following steps:

[0067] Step S101: receiving a video link generated by a surveillance camera when it monitors a recognized object through a Push Message Service (PMS);

[0068] Step S102, obtaining user configuration information from a database;

[0069] Step S103: Send the video link and user configuration information to the artificial intelligence cloud service, so that the artificial intelligence cloud service analyzes the dangerous behavior and daily behavior of the identified object and obtains analysis results;

[0070] Step S104: receiving the analysis results sent by the artificial intelligence cloud service, and collecting daily status information of the identified object based on the analysis results;

[0071] Step S105: Compare the daily status information with the user configuration information to obtain a comparison result.

[0072] Specifically, refer to Figure 2 This system includes a mobile client (which allows users to configure information and display data), a surveillance camera (which provides video recording), and an elderly care service (which provides an interface for storing configuration information and displaying statistical information to the app, an interface for obtaining AIcloud's analysis results, and an intermediate service that stores a series of data in the database). When the surveillance camera detects someone, it will record the video continuously. After five minutes of recording, the video will be uploaded to the cloud, a link will be generated, and the video will be transmitted to the elderly care service in the form of an alarm.

[0073] Furthermore, step S104 includes the following steps:

[0074] Step S201: When the alarm field in the analysis result is true, a message push service is used to push a message to the mobile client indicating that the subject has fallen, and a pop-up window is displayed;

[0075] Step S202, counting the frequency of the subject drinking water based on the analysis results;

[0076] Step S203, counting the long lying time of the identified subject according to the analysis result, and accumulating the long lying time;

[0077] Step S204: determine whether the identified object does not exist in the entire video time period according to the mark field in the analysis result, accumulate the video duration of the absence time and the video duration, and update it into the database.

[0078] Specifically, the AI ​​cloud service performs a pre-detection on the video. If no human figures are seen throughout the entire video segment, it is deemed to be without an elderly person. The AI ​​cloud service returns a marker field. Based on this marker field, the Elder Care Service determines that the elderly person is absent from the entire video period. It then adds the duration of the absence period to the video duration and updates the data in the database.

[0079] Furthermore, step S105 includes the following steps:

[0080] Step S301, when the absence time reaches a first preset time, generating an alarm message;

[0081] Step S302: When the prolonged lying time reaches a second preset time, a prolonged lying alarm message is pushed;

[0082] Step S303: When the frequency of drinking water is less than the preset number of times, a reminder message indicating that the user has not drunk water for a long time is pushed to the mobile client.

[0083] Specifically, refer to Figure 5 The elderly care service obtains the analysis results from the artificial intelligence cloud service (AIcloud); if the alarm is true, it immediately pushes the elderly person's fall to the APP through the message push service and pops up a window, and obtains the analysis results for data statistics;

[0084] Determine whether drinking water is true. If so, add 1 and update it to the data;

[0085] Determine whether the patient has been lying down for a long time. If so, accumulate the lying down time (unit: s).

[0086] Determine whether the old man did not appear. If so, it means that the old man did not appear in the entire video time period, then the time the old man did not appear is added to the video length and updated in the database.

[0087] The elderly care service needs to judge the analysis results and user information. For example, if the user sets an alarm if the elderly person does not appear for 1 hour, the elderly care service needs to compare the user-configured time and the statistical time of the analysis results in the database to decide whether to send an alarm; if the elderly person has been lying in bed for a long time and the lying time often reaches the threshold set by the user, the lying-in alarm will be sent; if the number of times the elderly person drinks water is less than the threshold set by the user, the APP will be notified that the elderly person has not drunk water for a long time.

[0088] Furthermore, step S103 includes the following steps:

[0089] Step S401: Send the video link and user configuration information to the artificial intelligence cloud service so that the artificial intelligence cloud service can analyze the dangerous behavior of the identified object;

[0090] Step S402, determining whether the identified object is dangerous;

[0091] Step S403: If there is danger, set the alarm field to true;

[0092] Step S404, analyzing the daily behavior of the identified object;

[0093] Step S405, determining whether the identified object drinks water;

[0094] Step S406, if drinking water, set to true;

[0095] Step S407, determining whether the identified object is in the user-set area;

[0096] Step S408: If it is in the user setting area, then true;

[0097] Step S409: If it is not in the user setting area, it is false;

[0098] Step S410, determining whether the identification object has not appeared for a long time;

[0099] Step S411: if it has not appeared for a long time, then it is true;

[0100] Step S412: If it has not appeared for a long time, it is false.

[0101] Specifically, refer to Figure 4 The elderly care service receives the alarm input, stores the data in the database, and retrieves the user configuration information; it sends the video link and user configuration information to the artificial intelligence cloud service (AIcloud). The artificial intelligence service obtains the input data of the elderly care service (including the camera video link, user configuration information, user ID device serial number, etc.).

[0102] The AIcloud service performs AI analysis on the incoming video. The service receives the request body from the elderly care service, obtains the video, and performs frame-by-frame analysis to determine whether the elderly person is in danger (such as falling or whether there is a fire in the house. If any of the above high-risk events exist, the alarm field is set to true and the result is returned to the elderly care service). Frame-by-frame analysis is also performed to determine whether the elderly person is drinking water, lying down, or eating, and the behavior and time results are returned to the elderly care service (for example, if the elderly person is drinking water, set isdrink to true; if the elderly person is in the user-set area, set isOnSettingArea to false if not, and true if so. The service also indicates the duration of the video. If the elderly person has not appeared for a long time, it returns whether there is anyone in the video. If so, set true; otherwise, set false).

[0103] Analyze the elderly’s behavior through video and return the behavior analysis results to the elderly care service.

[0104] Furthermore, the method further comprises the following steps:

[0105] Step S501: receiving a viewing request message sent by a mobile client;

[0106] Step S502: Obtaining the daily behavior statistics of the identified object from the database according to the query request information;

[0107] Step S503: Send the current day's behavior statistics to the mobile client, so that the mobile client displays the current day's behavior statistics in a pie chart format.

[0108] Specifically, the user query APP requests the elderly care service for daily or all elderly behavior statistics, including the number of times the elderly drink water, the number of times they eat, the length of time they lie down for a long time, the length of time they are not in the activity area, and other information.

[0109] The elderly care service returns the daily behavior statistics of the elderly through the database based on the APP request; the mobile client displays the pie chart statistics to the user for observation, and the user can click on a certain behavior to find the segment for playback.

[0110] Furthermore, the user configuration information includes: marked dangerous areas, alarm information of the time spent in dangerous areas, time periods for setting alarms, alarm information of the time when the identified object has not appeared for a long time, alarm information of the frequency of drinking water of the identified object, time periods when the identified object eats, and alarm information when the identified object does not eat.

[0111] Specifically, users need to open the configuration page of the mobile app to configure the information and save the configuration. Among them, the alarm information for the time spent in the dangerous area is the length of time the alarm is kept in the dangerous area; the alarm information for the time the identified object has not appeared is the alarm when the identified object has not appeared for a long time to reach a first preset time; the alarm information for the frequency of drinking water is the alarm when the frequency of drinking water is less than the preset number of times; the alarm information for the time when the identified object has not eaten is the alarm when the time when the identified object has not eaten reaches the user-set time.

[0112] Reference Figure 3 After the user completes the configuration information, it is sent to the elderly care service, and the elderly care service stores the configuration information in the database.

[0113] When the user modifies the configuration information, it is sent to the elderly care service; the elderly care service verifies the modified configuration information; when the verification is successful, the modified configuration information is sent to the database, and the database updates the configuration information. The database then returns a success message to the elderly care service. Among them, the elderly care service needs to verify the legitimacy of the configuration information uploaded by the user, such as whether the coordinate demarcation range meets the standard, such as x max and x min Is the number positive? Is the value too large? Is the area defined in accordance with the requirements (e.g., is the left and right spacing and the upper line spacing too small?) max and x min The difference between the set drinking frequency and the long absence time are verified.

[0114] This application utilizes a combination of surveillance cameras and AI behavioral analysis to provide real-time feedback on abnormal or high-risk behaviors of the elderly, and promptly pushes notifications to family members for immediate action. At the same time, the system allows family members to easily track the elderly's daily activities and gain a comprehensive understanding of their living conditions, helping to promptly identify potential health risks or lifestyle anomalies, and providing more efficient and convenient care solutions.

[0115] Example 2:

[0116] Figure 6 This is a schematic diagram of an elderly care system provided in Example 2 of the present invention.

[0117] Reference Figure 6 , applied to elderly care services, the system includes:

[0118] A video link receiving module is used to receive the video link generated by the surveillance camera when it monitors the identified object through a message push service;

[0119] Acquisition module, used to obtain user configuration information from the database;

[0120] A sending module is used to send the video link and user configuration information to the artificial intelligence cloud service, so that the artificial intelligence cloud service can analyze the dangerous behavior and daily behavior of the identified object and obtain analysis results;

[0121] An analysis result receiving module, used to receive the analysis results sent by the artificial intelligence cloud service;

[0122] Statistics module, used to collect daily status information of the identified object based on the analysis results;

[0123] The comparison module is used to compare the daily status information with the user configuration information to obtain the comparison result.

[0124] Furthermore, the statistics module is specifically used to:

[0125] When the alarm field in the analysis result is true, a message push service is used to push the message that the identified object has fallen to the mobile client and a pop-up window is displayed;

[0126] Count the frequency of the subject drinking water based on the analysis results;

[0127] Counting the long lying time of the identified object according to the analysis results and accumulating the long lying time;

[0128] According to the mark field in the analysis result, it is determined that there is no identified object in the entire video time period, the video duration of the absence time is accumulated with the video duration, and updated in the database.

[0129] This application combines AI behavioral analysis with surveillance cameras, and intelligently monitors the daily activities of the elderly by uploading video data to the cloud for analysis. AI can identify whether the elderly are sitting or lying for a long time, count the time and frequency of inactivity, monitor whether the elderly eat or drink water on time, and record eating habits and the number of meals. In addition, the system can also identify whether the elderly have fallen, have been absent from the activity area for a long time, or have entered a preset dangerous area, such as the kitchen, bathroom, or stairwell, and automatically trigger an alarm when an abnormality is detected. If the elderly fall, faint, have not been active within the camera range for a long time, or stay in a high-risk area for a long time, the system will immediately issue an early warning.

[0130] In this way, once AI detects abnormal situations such as possible dangerous behavior, health risks, or long-term absence of the elderly, the system will immediately push an alarm through the APP to notify the family, ensuring that the family can intervene in time to ensure the safety of the elderly.

[0131] An embodiment of the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the elderly care method provided in the above embodiment are implemented.

[0132] An embodiment of the present invention further provides a computer-readable medium having a non-volatile program code executable by a processor, wherein a computer program is stored on the computer-readable medium, and when the computer program is executed by the processor, the steps of the elderly care method of the above embodiment are executed.

[0133] The computer program product provided in the embodiments of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the previous method embodiments. For specific implementation, please refer to the method embodiments and will not be repeated here.

[0134] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems and devices can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0135] In addition, in the description of the embodiments of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; they may refer to mechanical connections or electrical connections; they may refer to direct connections or indirect connections through an intermediate medium; and they may refer to internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0136] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0137] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0138] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-described embodiments within the technical scope disclosed by the present invention, or replace some of the technical features therein with equivalents. Such modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A method for caring for the elderly, characterized in that: Applied to elderly care services, the method includes: Receive the video link generated by the surveillance camera when it monitors the identified object through the message push service; Get user configuration information from the database; Sending the video link and the user configuration information to an artificial intelligence cloud service, so that the artificial intelligence cloud service analyzes the dangerous behavior and daily behavior of the identified object to obtain an analysis result; Receive the analysis result sent by the artificial intelligence cloud service, and collect daily status information of the identified object according to the analysis result; The daily status information is compared with the user configuration information to obtain a comparison result.

2. The elderly care method according to claim 1, characterized in that: The daily status information of the identified object is collected based on the analysis result, including: When the alarm field in the analysis result is true, the message push service sends a notification to the mobile client indicating that the identified object has fallen, and a pop-up window is displayed; Counting the frequency of the identified object drinking water according to the analysis result; Counting the long lying time of the identified object according to the analysis result, and accumulating the long lying time; According to the mark field in the analysis result, it is determined that the identified object does not exist in the entire video time period, the video duration of the absence time is accumulated with the video duration, and updated in the database.

3. The elderly care method according to claim 2, characterized in that: Comparing the daily status information with the user configuration information to obtain a comparison result includes: When the absence time reaches a first preset time, generating an alarm message; When the prolonged lying time reaches a second preset time, a prolonged lying alarm message is pushed; When the frequency of drinking water is less than a preset number of times, a reminder message that water has not been drunk for a long time is pushed to the mobile client.

4. The elderly care method according to claim 1, characterized in that: Sending the video link and the user configuration information to an artificial intelligence cloud service, so that the artificial intelligence cloud service analyzes the dangerous behavior and daily behavior of the identified object to obtain analysis results, including: Sending the video link and the user configuration information to an artificial intelligence cloud service so that the artificial intelligence cloud service analyzes the dangerous behavior of the identified object; Determining whether the identified object is dangerous; If there is danger, set the alarm field to true; Analyzing the daily behavior of the identified object; Determining whether the identified object drinks water; If drinking water, set to true; Determining whether the identified object is in a user-set area; true if in the user settings area; false if not in the user settings area; Determining whether the identified object has not appeared for a long time; If it hasn't appeared for a long time, it is true; If it has not appeared for a long time, it will be false.

5. The elderly care method according to claim 1, characterized in that: The method further comprises: Receive viewing request information sent by the mobile client; Obtaining the daily behavior statistics of the identified object from the database according to the viewing request information; The daily behavior statistics are sent to the mobile client, so that the mobile client displays the daily behavior statistics in the form of a pie chart.

6. The elderly care method according to claim 1, characterized in that: The user configuration information includes: marked dangerous areas, alarm information of the time spent in the dangerous areas, time periods for setting alarms, alarm information of the time when the identified object has not appeared for a long time, alarm information of the frequency of drinking water of the identified object, time periods when the identified object eats, and alarm information when the identified object does not eat.

7. An elderly care system, characterized in that: Applied to elderly care services, the system includes: A video link receiving module is used to receive the video link generated by the surveillance camera when it monitors the identified object through a message push service; Acquisition module, used to obtain user configuration information from the database; a sending module, configured to send the video link and the user configuration information to an artificial intelligence cloud service, so that the artificial intelligence cloud service analyzes the dangerous behavior and daily behavior of the identified object to obtain an analysis result; An analysis result receiving module, configured to receive the analysis result sent by the artificial intelligence cloud service; A statistics module, configured to collect statistics on daily status information of the identified object based on the analysis results; The comparison module is used to compare the daily status information with the user configuration information to obtain a comparison result.

8. The elderly care system according to claim 7, characterized in that: The statistics module is specifically used for: When the alarm field in the analysis result is true, the message push service sends a notification to the mobile client indicating that the identified object has fallen, and a pop-up window is displayed; Counting the frequency of the identified object drinking water according to the analysis result; Counting the long lying time of the identified object according to the analysis result, and accumulating the long lying time; According to the mark field in the analysis result, it is determined that the identified object does not exist in the entire video time period, the video duration of the absence time is accumulated with the video duration, and updated in the database.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

10. A computer-readable medium having a non-volatile program code executable by a processor, characterized in that The program code causes the processor to execute the method according to any one of claims 1 to 6.

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