CN111967307B - Target exception handling method and device, computer equipment and storage medium - Google Patents
Target exception handling method and device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN111967307B CN111967307B CN202010626359.5A CN202010626359A CN111967307B CN 111967307 B CN111967307 B CN 111967307B CN 202010626359 A CN202010626359 A CN 202010626359A CN 111967307 B CN111967307 B CN 111967307B
- Authority
- CN
- China
- Prior art keywords
- information
- target
- monitoring target
- matching
- monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention discloses a processing method, a device, computer equipment and a storage medium for abnormal conditions of a target during video monitoring, which ensure that the monitored target can be effectively monitored, intelligently judged and processed, actively initiate an emergency notification event, indicate corresponding personnel to follow and process in time, better ensure intelligent monitoring of the monitored target and ensure the safety of the monitored target.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for processing a target exception, a computer device, and a storage medium.
Background
With the continuous development of computer technology, intelligent recognition and processing technology is introduced in more and more daily lives. In the current life, the difficulty of nursing and nursing the elderly is a common problem.
In places such as families or nursing homes, video monitoring equipment is introduced to realize real-time monitoring of the old people so as to timely treat the danger. However, the current video monitoring mode is only to simply feed back video data, and an active early warning and intelligent processing scheme is lacking when dangerous situations occur.
Disclosure of Invention
An embodiment of the invention provides a target exception handling method and device, computer equipment and a storage medium, and aims to solve the problem that an existing video monitoring scheme cannot achieve intelligent feedback and processing.
A target exception handling method, comprising:
acquiring state information of a monitoring target in real time, and monitoring the current state of the monitoring target according to the state information, wherein the state information of the monitoring target comprises at least one of behavior posture information, facial information and health parameters;
if the current state of the monitoring target conforms to a preset first abnormal level, initiating a call event to intelligent equipment corresponding to the monitoring target, wherein the first abnormal level indicates that the monitoring target may have abnormality;
if the response of the intelligent device corresponding to the monitoring target is not received within the preset time, matching emergency processing personnel in the target scene from a database according to the user information of the monitoring target, and initiating an emergency notification event to an intelligent terminal corresponding to the emergency processing personnel, wherein the emergency processing personnel are processing personnel matched with the user information of the monitoring target, and the user information is information which is pre-stored in the database and related to the physical condition of the monitoring target;
after receiving a first response instruction of the intelligent terminal corresponding to the emergency processing personnel, sending the current position information of the monitoring target to the intelligent terminal corresponding to the emergency processing personnel, wherein the first response instruction indicates that the emergency processing personnel is in an idle state.
A target exception handling apparatus comprising:
the target monitoring module is used for acquiring state information of a monitored target in real time and monitoring the current state of the monitored target according to the state information, wherein the state information of the monitored target comprises at least one of behavior posture information, facial information and health parameters;
a call event initiating module, configured to initiate a call event to an intelligent device corresponding to the monitoring target if the current state of the monitoring target meets a preset first exception level, where the first exception level indicates that the monitoring target may be abnormal;
an emergency notification event initiating module, configured to, if a response of an intelligent device corresponding to the monitoring target is not received within a preset time, match an emergency handler in the target scene from a database according to user information of the monitoring target, and initiate an emergency notification event to an intelligent terminal corresponding to the emergency handler, where the emergency handler is a handler matched with the user information of the monitoring target, and the user information is information related to a physical condition of the monitoring target and stored in the database in advance;
and the position sending module is used for sending the current position information of the monitoring target to the intelligent terminal corresponding to the emergency processing personnel after receiving a first response instruction of the intelligent terminal corresponding to the emergency processing personnel, wherein the first response instruction indicates that the emergency processing personnel are in an idle state.
A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above-mentioned target exception handling method when executing the computer program.
A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned target exception handling method.
In the target exception handling method, the target exception handling device, the computer equipment and the storage medium, the current state of the monitoring target is monitored according to the state information by acquiring the state information of the monitoring target in real time, wherein the state information of the monitoring target comprises at least one of behavior posture information, facial information and health parameters; if the current state of the monitoring target conforms to a preset first abnormal level, initiating a call event to intelligent equipment corresponding to the monitoring target, wherein the first abnormal level indicates that the monitoring target may have abnormality; if the response of the intelligent device corresponding to the monitoring target is not received within the preset time, matching emergency processing personnel in the target scene from a database according to the user information of the monitoring target, and initiating an emergency notification event to an intelligent terminal corresponding to the emergency processing personnel, wherein the emergency processing personnel are processing personnel matched with the user information of the monitoring target, and the user information is information which is pre-stored in the database and related to the physical condition of the monitoring target; after receiving a first response instruction of the intelligent terminal corresponding to the emergency processing personnel, sending the current position information of the monitoring target to the intelligent terminal corresponding to the emergency processing personnel, wherein the first response instruction indicates that the emergency processing personnel is in an idle state. The monitoring target can be effectively monitored, intelligent judgment and processing are carried out, an emergency notification event is initiatively initiated, corresponding personnel can be indicated to follow and process in time, intelligent monitoring on the monitoring target is better guaranteed, and safety of the monitoring target is guaranteed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a diagram illustrating an application environment of a target exception handling method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a target exception handling method according to an embodiment of the present invention;
FIG. 3 is another flow chart of a target exception handling method in an embodiment of the present invention;
FIG. 4 is another flow chart of a target exception handling method in an embodiment of the present invention;
FIG. 5 is another flow chart of a target exception handling method in an embodiment of the present invention;
FIG. 6 is another flow chart of a method for target exception handling in an embodiment of the present invention;
FIG. 7 is a diagram of a target exception handling apparatus according to an embodiment of the present invention;
FIG. 8 is another diagram of a target exception handling apparatus according to an embodiment of the present invention;
FIG. 9 is another diagram of a target exception handling apparatus according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of a computer device according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The target exception handling method provided by the embodiment of the invention can be applied to the environment shown in FIG. 1. Wherein a client (computer device) communicates with a server over a network. The method comprises the steps that a server side obtains state information of a monitored target in real time, and monitors the current state of the monitored target according to the state information, wherein the state information of the monitored target comprises at least one item of behavior posture information, facial information and health parameters; if the current state of the monitoring target conforms to a preset first abnormal level, initiating a call event to intelligent equipment corresponding to the monitoring target, wherein the first abnormal level indicates that the monitoring target may have abnormality; if the response of the intelligent device corresponding to the monitoring target is received within the preset time, matching emergency treatment personnel in the target scene from a database according to the health data of the monitoring target, and initiating an emergency notification event to an intelligent terminal corresponding to the emergency treatment personnel, wherein the emergency treatment personnel are treatment personnel matched with the health data of the monitoring target; after receiving a first response instruction of the intelligent terminal corresponding to the emergency processing personnel, sending the current position information of the monitoring target to the intelligent terminal corresponding to the emergency processing personnel, wherein the first response instruction indicates that the emergency processing personnel is in an idle state. The client can be various personal computers, notebook computers, smart phones, tablet computers, image acquisition equipment, smart bracelets, portable wearable equipment and the like. Of course, other devices are also possible. The server can be implemented by an independent server or a server cluster composed of a plurality of servers.
In a specific embodiment, the target exception handling method may be applied to a monitoring platform, where the monitoring platform includes a plurality of image capturing devices and a server, each image capturing device captures video data of a preset area and then feeds the video data back to the server in real time, and the server monitors a monitored target in real time through the received video data and timely responds to and handles an exception occurring in the monitored target. Illustratively, the monitoring platform may be located at a home, a nursing home, or other public service location, among others.
In an embodiment, as shown in fig. 2, a target exception handling method is provided, which is described by taking the method applied to the server side in fig. 1 as an example, and includes the following steps:
s201: the method comprises the steps of acquiring state information of a monitoring target in real time, and monitoring the current state of the monitoring target according to the state information, wherein the state information of the monitoring target comprises at least one of behavior posture information, facial information and health parameters.
The monitoring target may be a preselected target for real-time monitoring, such as a specific elderly person, a child, or other targets. It is to be understood that the number of the monitoring targets may be one, or may be two or more. The status information of the monitoring target includes at least one of behavioral posture information, facial information, and health parameters. The behavior posture information can be acquired in real time through the image acquisition equipment, and then extracted from the video data. The behavior posture information of the monitoring target indicates whether the behavior of the current monitoring target is abnormal, such as falling, sedentary and the like. The face information may also be acquired in real time by an image acquisition device, and then extracted from the video data. Whether the monitoring target is abnormal or not is judged by identifying the facial expression of the monitoring target, for example, whether the monitoring target has expression of pain, frightening and the like or not is judged. The health parameters can be acquired through intelligent monitoring equipment on the monitoring target body, for example, portable intelligent equipment such as an intelligent bracelet and an intelligent watch. The health parameters may include pulse, heart rate, blood pressure, etc. data.
And after the server side acquires the state information of the monitoring target, monitoring the current state of the monitoring target according to the state information. Specifically, for the behavior attitude information, the behavior attitude information of the monitoring target may be identified and judged through an algorithm or an identification model, whether an abnormality occurs is judged, and if the abnormality occurs, the level or the emergency degree of the abnormality may be further judged. The identification and judgment of the behavior posture information of the monitoring target can be performed according to a preset time interval, and understandably, the smaller the time interval is, the higher the monitoring precision is, but the greater the calculation burden of the computer is, so that the setting can be performed according to the actual application requirements. For the face information, an image including the face area of the monitoring target may be extracted, and then emotion recognition may be performed to determine whether or not an abnormal emotion occurs in the monitoring target. For the health parameter, after the health parameter of the monitored target is obtained, the health parameter can be compared with a standard parameter, and if the health parameter of the monitored target is not within a normal value range, the health parameter is judged to be abnormal.
S202: if the current state of the monitoring target meets a preset first abnormal level, initiating a call event to intelligent equipment corresponding to the monitoring target, wherein the first abnormal level indicates that the monitoring target may have abnormality.
And determining the current state of the monitoring target by identifying and judging the state information of the monitoring target. The current state reflects whether the physical state of the monitoring target is abnormal or not, and the current state may include normal and abnormal. Further, if the current state is abnormal, the current state can be further divided into different abnormal levels. Wherein the first abnormal level indicates that there may be an abnormality in the monitoring target, there may be a situation where the abnormality needs to be further determined, or there is a slight abnormal state, for example, there is a sedentary immobility, there is slight discomfort in the expression of the monitoring target, or the health parameter slightly deviates from a normal value, which needs to be confirmed. The first abnormality level may be comprehensively determined by abnormality occurrence in at least one of the behavior posture information, the facial information, and the health parameter or abnormality occurrence in a combination of two or more of them.
After the current state of the monitoring target is judged to accord with the preset first abnormal level, a calling event is initiated to the intelligent device corresponding to the monitoring target, and the intelligent device corresponding to the monitoring target can be a mobile phone, an intelligent bracelet or other portable communication devices carried by the monitoring target.
S203: and if the response of the intelligent device corresponding to the monitoring target is not received within the preset time, matching emergency processing personnel in the target scene from a database according to the user information of the monitoring target, and initiating an emergency notification event to an intelligent terminal corresponding to the emergency processing personnel, wherein the emergency processing personnel are processing personnel matched with the user information of the monitoring target, and the user information is information which is pre-stored in the database and related to the physical condition of the monitoring target.
The preset time is a preset time, for example, 5s, 10s, 30s, etc. If the response of the intelligent device corresponding to the monitoring target is not received within the preset time, the monitoring target is in an abnormal state, and at the moment, on-site confirmation or rescue needs to be carried out.
The user information is information related to the physical condition of the monitoring target stored in the database in advance, and may be, for example, data related to the physical condition of the monitoring target, past medical history, or the like. Corresponding emergency treatment personnel can be allocated to the monitoring target in advance according to the user information of the monitoring target. Or online real-time matching can be carried out according to the user information. Specifically, the emergency treatment personnel matched with the target scene from the database according to the user information of the monitoring target may be emergency treatment personnel matched with the target scene from the database in advance according to the user information, or emergency treatment personnel matched with the past medical history of the target scene from the database according to the user information. It should be understood that there may be one or more emergency personnel.
And initiating an emergency notification event to the intelligent terminal corresponding to the emergency processing personnel to establish communication connection with the intelligent terminal corresponding to the emergency processing personnel so as to notify the corresponding emergency processing personnel to respond in time.
S204: after receiving a first response instruction of the intelligent terminal corresponding to the emergency processing personnel, sending the current position information of the monitoring target to the intelligent terminal corresponding to the emergency processing personnel, wherein the first response instruction indicates that the emergency processing personnel is in an idle state.
And after receiving the first response instruction of the intelligent terminal corresponding to the emergency processing personnel, indicating that the emergency processing personnel can process the information in time, and sending the current position information of the monitoring target to the intelligent terminal corresponding to the emergency processing personnel to indicate the emergency processing personnel to arrive at the monitoring target in time to perform corresponding processing.
In this embodiment, the current state of a monitoring target is monitored according to state information obtained in real time, where the state information of the monitoring target includes at least one of behavior posture information, facial information, and health parameters; if the current state of the monitoring target conforms to a preset first abnormal level, initiating a call event to intelligent equipment corresponding to the monitoring target, wherein the first abnormal level indicates that the monitoring target may have abnormality; if the response of the intelligent device corresponding to the monitoring target is not received within the preset time, matching emergency processing personnel in the target scene from a database according to the user information of the monitoring target, and initiating an emergency notification event to an intelligent terminal corresponding to the emergency processing personnel, wherein the emergency processing personnel are processing personnel matched with the user information of the monitoring target, and the user information is information which is pre-stored in the database and related to the physical condition of the monitoring target; after receiving a first response instruction of the intelligent terminal corresponding to the emergency processing personnel, sending the current position information of the monitoring target to the intelligent terminal corresponding to the emergency processing personnel, wherein the first response instruction indicates that the emergency processing personnel is in an idle state. The monitoring target can be effectively monitored, intelligently judged and processed, the emergency notification event is initiatively initiated, corresponding personnel can be indicated to follow and process in time, intelligent monitoring on the monitoring target is better guaranteed, and safety of the monitoring target is guaranteed.
In an embodiment, as shown in fig. 3, after the monitoring the current state of the monitored target according to the state information, the target exception handling method further includes:
s301: if the current state of the monitoring target accords with a preset second abnormal level, determining a target public institution according to the position information of the monitoring target, and initiating an emergency call event to the target public institution, wherein the second abnormal level indicates that the monitoring target has an abnormal condition needing emergency processing.
Wherein the second exception level indicates that the monitoring target has an exception condition requiring urgent processing. The second exception level is opposite to the first exception level, and can be divided according to specific medical care conditions, for example, the first exception level is an exception condition which needs to be further confirmed or needs to be solved by simple processing. And the second abnormality level is an abnormal situation requiring further treatment or urgent treatment. For example, a first abnormality level may be triggered if the monitoring target is in a sedentary condition, and a second abnormality level may be directly triggered if the monitoring target is in a fallen condition (elderly). Further, different abnormality levels may be classified according to facial information of the monitoring target, and a first abnormality level may be triggered if the expression of the monitoring target is slightly uncomfortable, and a second abnormality level may be triggered if the expression of the monitoring target is a particularly painful level. It should be understood that the above description is only exemplary, and specific details may be set according to specific medical knowledge, which are not described herein again.
In this step, if the current state of the monitored target meets a preset second abnormal level, determining a target public institution according to the position information of the monitored target. The targeted institution may be a hospital or other emergency assistance facility. The nearest target institution is determined by monitoring the current position of the target, or the nearest target institution for an actual route. And then an emergency call event is initiated to the target public institution, wherein the emergency call event can be a communication event of calling the ambulance.
S302: and receiving first expected arrival time fed back by the target public institution, and acquiring communication information of medical care personnel near the position of the monitoring target from a preset registration database according to the position information of the monitoring target.
Receiving a first estimated time of arrival, which may be a sum of a time prepared for the target institution and a travel time, fed back by the target institution after the emergency call event is initiated to the target institution. The time of preparation may be set by the target institution and the travel time may be determined by means of a third party public interface, such as various types of map navigation interfaces.
The registration database is a medical staff database which is established in advance, medical staff can be invited to register in the registration database in advance, and communication information of the corresponding medical staff can be acquired when needed after authorization is obtained.
A range may be determined in advance, for example, a range within a preset radius around the monitoring target may be determined as the vicinity of the position of the monitoring target according to the current position of the monitoring target. Alternatively, the value of the radius may be adjusted as needed, e.g., 500m, 1km, 1.5km, etc. It is to be understood that the number of medical personnel located near the location of the monitoring target determined by this step may be plural.
Further, the medical personnel in the vicinity of the location of the monitoring target may be ranked by different levels. According to the distance, a plurality of layers are divided from near to far, and the communication information of the medical staff at the near layer is preferentially acquired.
S303: initiating a calling event to an intelligent terminal corresponding to the medical staff according to the communication information, determining the intelligent terminal corresponding to the medical staff with feedback response information as a target terminal, and sending the position information of the monitoring target to the target terminal, wherein the response information indicates that the corresponding medical staff agrees to process the calling event.
After the communication information is obtained, a calling event is initiated to the intelligent terminal corresponding to the medical staff, and the corresponding medical staff is informed that an emergency occurs. And further determining the intelligent terminal corresponding to the medical staff who has fed back response information as a target terminal, wherein the response information indicates that the corresponding medical staff agrees to process the calling event. And at the moment, the position information of the monitoring target is sent to the target terminal so as to indicate the medical staff to carry out treatment in the future.
S304: and receiving a second predicted arrival time fed back by the target terminal, and determining a processing terminal from the target terminal according to the second predicted arrival time and the first predicted arrival time, wherein the processing terminal is the target terminal of which the corresponding second predicted arrival time is smaller than the first predicted arrival time.
And after the position information of the monitoring target is sent to the target terminal, the target terminal feeds back a second expected arrival time. The second expected arrival time may be automatically input by the medical staff corresponding to the target terminal. And determining a processing terminal from the target terminals according to the second predicted arrival time and the first predicted arrival time, wherein the processing terminal is the target terminal of which the corresponding second predicted arrival time is smaller than the first predicted arrival time. Further, the processing terminal is a target terminal with a second predicted arrival time smaller than the first predicted arrival time and the second predicted arrival time being the shortest. It is understood that the number of the processing terminals can be more than 2.
In this embodiment, if the current state of the monitoring target meets a preset second abnormal level, determining a target public institution according to the position information of the monitoring target, and initiating an emergency call event to the target public institution, where the second abnormal level indicates that the monitoring target has an abnormal condition requiring emergency processing; receiving first expected arrival time fed back by the target public institution, and acquiring communication information of medical care personnel near the position of the monitoring target from a preset registration database according to the position information of the monitoring target; initiating a calling event to an intelligent terminal corresponding to the medical staff according to the communication information, determining the intelligent terminal corresponding to the medical staff which feeds back response information as a target terminal, and sending position information of the monitoring target to the target terminal, wherein the response information indicates that the corresponding medical staff agrees to process the calling event; and receiving a second predicted arrival time fed back by the target terminal, and determining a processing terminal from the target terminal according to the second predicted arrival time and the first predicted arrival time, wherein the processing terminal is the target terminal of which the corresponding second predicted arrival time is smaller than the first predicted arrival time. Different emergency processing modes are adopted at different abnormal levels, so that the safety of the monitored target is better ensured, and nearby medical personnel are selected through the registration database for emergency support, so that the monitored target can be better ensured, the monitored target can be nursed or treated more timely, and the safety of the monitored target in the abnormal event is better ensured.
In an embodiment, as shown in fig. 4, after the receiving the second expected arrival time fed back by the target terminal, selecting the target terminal with the smallest second expected arrival time, and determining as a processing terminal, the target exception handling method further includes:
s401: and acquiring the position information of the processing terminal, and generating route planning information according to the position information of the monitoring target and the position information of the processing terminal.
S402: and sending the position information of the monitoring target and the route planning information to the processing terminal.
In this embodiment, the route planning information is generated by acquiring the position information of the processing terminal and according to the position information of the monitoring target and the position information of the processing terminal. The route planning information may be implemented via a third party data interface, such as various types of map navigation interfaces. And further sending the position information of the monitoring target and the route planning information to a processing terminal. The medical staff corresponding to the processing terminal can be intelligently planned with routes, the arrival timeliness of the medical staff is better guaranteed, and intelligent guidance is embodied.
In an embodiment, as shown in fig. 5, after the sending the current location information of the monitoring target to the intelligent terminal corresponding to the emergency processing person, the target exception handling method further includes:
s501: and acquiring the matched communication information of the medical care personnel from a preset registration database according to the user information of the monitoring target.
The user information is information related to the physical condition of the monitoring target stored in the database in advance, and may be, for example, data related to the physical condition of the monitoring target, past medical history, or the like. The registration database is a medical staff database which is established in advance, medical staff can be invited to register in the registration database in advance, and communication information of the corresponding medical staff can be acquired when needed after authorization is obtained.
Corresponding medical care personnel can be allocated to the monitoring target according to the user information of the monitoring target in advance. Or online real-time matching can be carried out according to the user information. Specifically, the medical staff matched with the target scene from a preset registration database according to the user information of the monitoring target may be medical staff matched with the target scene from the database in advance according to the user information, or medical staff matched with the past medical history of the medical staff from the database according to the user information. It is understood that there may be one or more than two medical staff.
S502: initiating a calling event to an intelligent terminal corresponding to the medical staff according to the communication information, determining the intelligent terminal corresponding to the medical staff feeding back response information as a target terminal, and indicating that the corresponding medical staff agrees to process the calling event by the response information.
After the communication information is obtained, a calling event is initiated to the intelligent terminal corresponding to the medical staff, and the corresponding medical staff is informed that an emergency occurs. And further determining the intelligent terminal corresponding to the medical staff who has fed back response information as a target terminal, wherein the response information indicates that the corresponding medical staff agrees to process the calling event.
S503: and establishing communication connection between the intelligent terminal corresponding to the emergency treatment personnel and the target terminal so that the medical personnel can provide treatment suggestions for the emergency treatment personnel through the target terminal.
In the step, communication connection between an intelligent terminal corresponding to an emergency treatment staff and the target terminal is established, so that the medical staff provides treatment suggestions for the emergency treatment staff through the target terminal. The monitoring target can be ensured to be treated and treated more professionally, and the safety of the monitoring target is better ensured.
In this example, the matched communication information of the medical care personnel is obtained from a preset registration database according to the health data of the monitoring target; initiating a calling event to an intelligent terminal corresponding to the medical staff according to the communication information, and determining a target terminal of the intelligent terminal corresponding to the medical staff which feeds back response information; and establishing communication connection between the intelligent terminal corresponding to the emergency treatment personnel and the target terminal so that the medical personnel can provide treatment suggestions for the emergency treatment personnel through the target terminal. The monitoring target can be ensured to be treated and treated more professionally, and the safety of the monitoring target is better ensured.
In one embodiment, as shown in fig. 6, the state information includes behavior posture information, facial information, and health parameters, and the monitoring the current state of the monitoring target according to the state information includes:
s601: extracting the human body characteristic information of the monitoring target from the behavior posture information, and matching the human body characteristic information with preset reference abnormal information to obtain first matching information, wherein the first matching information indicates a matching result of the human body characteristic information and the preset reference abnormal information.
The behavioral gesture information may be image data including a behavioral gesture of the monitoring target. Extracting the human body characteristic information of the monitoring target from the behavior posture information may be extracting key point coordinates of a human body from the behavior posture information by using a human body key point detection model, and the key point coordinates may be, for example, a head coordinate point, a center of gravity coordinate point and a lower leg center coordinate point. Further, the key point coordinates may be a labeling coordinate point of the human skeleton. The human body key point detection model can be realized through deep learning. Preferably, a human body key point detection model of an ssd (single Shot multi box detector) convolution network of the adaptive receptive field may be established in advance, and the key point coordinates of the human body are extracted from the image to obtain the human body feature information.
The reference abnormal information is preset characteristic information for representing abnormal behaviors, and can be represented by coordinates of key points of a human body. Exemplarily, the reference abnormal information of the falling state and the hand swing for help is embodied. A large number of images representing abnormal behaviors can be collected in advance, and the reference abnormal information is obtained after feature extraction. The matching of the human body characteristic information with the preset reference abnormal information can be to calculate the vector similarity between the human body characteristic information and the preset reference abnormal information to determine whether the human body characteristic information is successfully matched with the preset reference abnormal information or which specific reference abnormal information is successfully matched with the human body characteristic information. It is to be understood that there may be one or two or more pieces of preset reference abnormality information. The first matching information indicates a matching result of the human body feature information and preset reference abnormal information, and optionally, the first matching information may indicate a matching success or a matching failure.
For example, for a fall state, it can be judged by calculating part of key points in the human body feature information. Optionally, when the reference abnormal information of the falling state is an included angle between a line connecting the left side point of the head and the center of gravity coordinate point and the horizontal plane, and an included angle between a line connecting the center coordinate point and the center coordinate point of the lower leg and the horizontal plane are both less than a preset number of degrees (for example, 15 degrees, 20 degrees or 25 degrees), the monitoring target is considered to be possibly in the falling state.
And for the reference abnormal information of the hand-swinging distress call, a reference hand-swinging distress call image can be preset, then the similarity of the human characteristic information in the current frame image and the human characteristic information of the reference hand-swinging distress call image is compared, and if the similarity exceeds a certain threshold value, the monitoring target is considered to be possibly making a hand-swinging distress call.
And the first matching information is used for indicating whether the monitoring target in the current frame image has an abnormality or not, and further specifically indicating what abnormal behavior the abnormality may be.
S602: extracting a face image of the monitoring target from the face information, identifying the face image by adopting a preset emotion identification model to obtain emotion information of the face image, and matching the emotion information with preset abnormal emotion information to obtain second matching information, wherein the second matching information indicates a matching result of the emotion information and the preset abnormal emotion information.
The face information is image data including a face image of the monitoring target, and extraction of the face image of the monitoring target is performed from the face information. And further identifying the face image through a preset emotion identification model to obtain emotion information of the face image. The emotion information indicates in what emotion the currently monitored target is, for example, happy, calm, painful, sad, and the like. The preset abnormal emotion information is a preset emotion indicating that the monitoring target is abnormal, such as pain and sadness. The second matching information indicates a matching result of the emotion information and preset abnormal emotion information.
S603: and matching the health parameters with preset reference parameters to obtain third matching information, wherein the third matching information indicates a matching result of the health parameters and the preset reference parameters.
In the step, a preset reference parameter is obtained in advance, the health parameter is matched with the preset reference parameter, a matching result is presented through third matching information, and the third matching information indicates the matching result of the health parameter and the preset reference parameter.
S604: and determining the current state of the monitoring target according to the first matching information, the second matching information and the third matching information.
In this step, the current state of the monitoring target is determined comprehensively through the first matching information, the second matching information and the third matching information. And the conversion can be carried out in real time by presetting the corresponding relation of the first matching information, the second matching information and the third matching information which are synthesized with the current state, so as to obtain the current state of the monitoring target. Illustratively, the current state of the monitoring target may include normal, a first exception level, a second exception level, and the like. Alternatively, the current state being normal may indicate that the first matching information, the second matching information, and the third matching information are all normal. The first abnormality level may be that there is an abnormality in any one of the first matching information, the second matching information, and the third matching information. The first abnormality level may be that at least two items of the first matching information, the second matching information, and the third matching information have abnormality.
In this embodiment, the human body feature information of the monitoring target is extracted from the behavior posture information, and the human body feature information is matched with preset reference abnormal information to obtain first matching information, where the first matching information indicates a matching result of the human body feature information and the preset reference abnormal information; extracting a face image of the monitoring target from the face information, identifying the face image by adopting a preset emotion identification model to obtain emotion information of the face image, and matching the emotion information with preset abnormal emotion information to obtain second matching information, wherein the second matching information indicates a matching result of the emotion information and the preset abnormal emotion information; matching the health parameters with preset reference parameters to obtain third matching information, wherein the third matching information indicates a matching result of the health parameters and the preset reference parameters; and determining the current state of the monitoring target according to the first matching information, the second matching information and the third matching information. The current state of the monitoring target is monitored and identified in multiple modes, the state of the monitoring target is more accurately grasped, and the identification precision is improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In one embodiment, a target exception handling apparatus is provided, and the target exception handling apparatus corresponds to the target exception handling method in the above embodiments one to one. As shown in fig. 7, the target exception handling apparatus includes a target monitoring module 701, a call event initiating module 702, an emergency notification event initiating module 703 and a location transmitting module 704. The functional modules are explained in detail as follows:
the target monitoring module 701 is configured to acquire state information of a monitored target in real time, and monitor a current state of the monitored target according to the state information, where the state information of the monitored target includes at least one of behavior posture information, facial information, and health parameters.
A call event initiating module 702, configured to initiate a call event to an intelligent device corresponding to the monitoring target if the current state of the monitoring target meets a preset first exception level, where the first exception level indicates that the monitoring target may have an exception.
An emergency notification event initiating module 703 is configured to, if a response of the intelligent device corresponding to the monitoring target is not received within a preset time, match an emergency handler in the target scene from a database according to the user information of the monitoring target, and initiate an emergency notification event to an intelligent terminal corresponding to the emergency handler, where the emergency handler is a handler matched with the user information of the monitoring target, and the user information is information that is stored in the database in advance and is related to the physical condition of the monitoring target.
A position sending module 704, configured to send the current position information of the monitoring target to the intelligent terminal corresponding to the emergency handling staff after receiving a first response instruction of the intelligent terminal corresponding to the emergency handling staff, where the first response instruction indicates that the emergency handling staff is in an idle state.
Preferably, as shown in fig. 8, the target exception handling apparatus further includes:
a target public institution module 801, configured to determine a target public institution according to the location information of the monitored target and initiate an emergency call event to the target public institution if the current state of the monitored target meets a preset second exception level, where the second exception level indicates that an exception condition requiring emergency processing exists in the monitored target;
a communication information obtaining module 802, configured to receive a first expected arrival time fed back by the target public institution, and obtain, according to the location information of the monitoring target, communication information of a medical worker near the location of the monitoring target from a preset registration database;
a target terminal determining module 803, configured to initiate a call event to an intelligent terminal corresponding to the medical care personnel according to the communication information, determine the intelligent terminal corresponding to the medical care personnel, which has fed back response information, as a target terminal, and send position information of the monitoring target to the target terminal, where the response information indicates that the corresponding medical care personnel agrees to handle the call event;
a processing terminal determining module 804, configured to receive the second predicted arrival time fed back by the target terminal, and determine a processing terminal from the target terminal according to the second predicted arrival time and the first predicted arrival time, where the processing terminal is a target terminal whose corresponding second predicted arrival time is less than the first predicted arrival time.
Preferably, the status information includes behavior posture information, facial information, and health parameters, and as shown in fig. 9, the target monitoring module 701 includes:
a first matching information determining unit 901, configured to extract human body feature information of the monitoring target from the behavior posture information, and match the human body feature information with preset reference abnormal information to obtain first matching information, where the first matching information indicates a matching result of the human body feature information and the preset reference abnormal information;
a second matching information determining unit 902, configured to extract a facial image of the monitoring target from the facial information, identify the facial image by using a preset emotion recognition model to obtain emotion information of the facial image, match the emotion information with preset abnormal emotion information to obtain second matching information, where the second matching information indicates a matching result of the emotion information and the preset abnormal emotion information;
a third matching information determining unit 903, configured to match the health parameter with a preset reference parameter to obtain third matching information, where the third matching information indicates a matching result between the health parameter and the preset reference parameter;
a current state determining unit 904, configured to determine a current state of the monitoring target according to the first matching information, the second matching information, and the third matching information.
Preferably, the target exception handling apparatus further includes:
the route planning information generation module is used for acquiring the position information of the processing terminal and generating route planning information according to the position information of the monitoring target and the position information of the processing terminal;
and the planning information sending module is used for sending the position information of the monitoring target and the route planning information to the processing terminal.
Preferably, the target exception handling apparatus further includes:
the information acquisition module is used for acquiring the matched communication information of the medical care personnel from a preset registration database according to the health data of the monitoring target;
the terminal determining module is used for initiating a calling event to the intelligent terminal corresponding to the medical staff according to the communication information and determining the intelligent terminal corresponding to the medical staff which feeds back response information as a target terminal;
and the communication connection establishing module is used for establishing communication connection between the intelligent terminal corresponding to the emergency treatment personnel and the target terminal so that the medical personnel can provide treatment suggestions for the emergency treatment personnel through the target terminal.
For the specific definition of the target exception handling device, reference may be made to the above definition of the target exception handling method, which is not described herein again. The respective modules in the target exception handling apparatus described above may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 10. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing data used by the target exception handling method in any of the above embodiments. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a target exception handling method.
In one embodiment, a computer device is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the target exception handling method in any of the above embodiments is implemented.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the target exception handling method in any of the above embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (8)
1. A target exception handling method, comprising:
acquiring state information of a monitoring target in real time, and monitoring the current state of the monitoring target according to the state information, wherein the state information of the monitoring target comprises at least one of behavior posture information, facial information and health parameters;
if the current state of the monitoring target conforms to a preset first abnormal level, initiating a call event to intelligent equipment corresponding to the monitoring target, wherein the first abnormal level indicates that the monitoring target may have abnormality;
if the response of the intelligent device corresponding to the monitoring target is not received within the preset time, matching emergency treatment personnel in a target scene from a database according to the user information of the monitoring target, initiating an emergency notification event to an intelligent terminal corresponding to the emergency treatment personnel, wherein the emergency treatment personnel are treatment personnel matched with the user information of the monitoring target, and the user information is information which is pre-stored in the database and related to the physical condition of the monitoring target;
after receiving a first response instruction of an intelligent terminal corresponding to the emergency processing personnel, sending the current position information of the monitoring target to the intelligent terminal corresponding to the emergency processing personnel, wherein the first response instruction indicates that the emergency processing personnel is in an idle state;
after the monitoring the current state of the monitoring target according to the state information, the target exception handling further includes:
if the current state of the monitoring target conforms to a preset second abnormal level, determining a target public institution according to the position information of the monitoring target, and initiating an emergency call event to the target public institution, wherein the second abnormal level indicates that the monitoring target has an abnormal condition needing emergency processing;
receiving first expected arrival time fed back by the target public institution, and acquiring communication information of medical care personnel near the position of the monitoring target from a preset registration database according to the position information of the monitoring target;
initiating a calling event to an intelligent terminal corresponding to the medical staff according to the communication information, determining the intelligent terminal corresponding to the medical staff which feeds back response information as a target terminal, and sending position information of the monitoring target to the target terminal, wherein the response information indicates that the corresponding medical staff agrees to process the calling event;
and receiving a second predicted arrival time fed back by the target terminal, and determining a processing terminal from the target terminal according to the second predicted arrival time and the first predicted arrival time, wherein the processing terminal is the target terminal of which the corresponding second predicted arrival time is smaller than the first predicted arrival time.
2. The method for handling the target exception according to claim 1, wherein after the receiving the second predicted arrival time fed back by the target terminal, selecting the target terminal with the smallest second predicted arrival time, and determining as the handling terminal, the method further comprises:
acquiring the position information of the processing terminal, and generating route planning information according to the position information of the monitoring target and the position information of the processing terminal;
and sending the position information of the monitoring target and the route planning information to the processing terminal.
3. The method for processing the target exception according to claim 1, wherein after the sending the current location information of the monitoring target to the intelligent terminal corresponding to the emergency processing personnel, the method for processing the target exception further comprises:
acquiring the matched communication information of the medical personnel from a preset registration database according to the health data of the monitoring target;
initiating a calling event to an intelligent terminal corresponding to the medical staff according to the communication information, and determining the intelligent terminal corresponding to the medical staff which feeds back response information as a target terminal;
and establishing communication connection between the intelligent terminal corresponding to the emergency treatment personnel and the target terminal so that the medical personnel can provide treatment suggestions for the emergency treatment personnel through the target terminal.
4. The target exception handling method of claim 1, wherein the status information includes behavioral pose information, facial information, and health parameters, and wherein the monitoring a current status of the monitoring target according to the status information comprises:
extracting human body characteristic information of the monitoring target from the behavior posture information, and matching the human body characteristic information with preset reference abnormal information to obtain first matching information, wherein the first matching information indicates a matching result of the human body characteristic information and the preset reference abnormal information;
extracting a face image of the monitoring target from the face information, identifying the face image by adopting a preset emotion identification model to obtain emotion information of the face image, and matching the emotion information with preset abnormal emotion information to obtain second matching information, wherein the second matching information indicates a matching result of the emotion information and the preset abnormal emotion information;
matching the health parameters with preset reference parameters to obtain third matching information, wherein the third matching information indicates a matching result of the health parameters and the preset reference parameters;
and determining the current state of the monitoring target according to the first matching information, the second matching information and the third matching information.
5. A target exception handling apparatus, comprising:
the target monitoring module is used for acquiring state information of a monitored target in real time and monitoring the current state of the monitored target according to the state information, wherein the state information of the monitored target comprises at least one of behavior posture information, facial information and health parameters;
a call event initiating module, configured to initiate a call event to an intelligent device corresponding to the monitoring target if the current state of the monitoring target meets a preset first exception level, where the first exception level indicates that the monitoring target may be abnormal;
an emergency notification event initiating module, configured to, if a response of an intelligent device corresponding to the monitoring target is not received within a preset time, match an emergency handler in a target scene from a database according to user information of the monitoring target, and initiate an emergency notification event to an intelligent terminal corresponding to the emergency handler, where the emergency handler is a handler matched with the user information of the monitoring target, and the user information is information related to a physical condition of the monitoring target and stored in the database in advance;
the position sending module is used for sending the current position information of the monitoring target to the intelligent terminal corresponding to the emergency processing personnel after receiving a first response instruction of the intelligent terminal corresponding to the emergency processing personnel, wherein the first response instruction indicates that the emergency processing personnel are in an idle state;
a target public institution module, configured to determine a target public institution according to the location information of the monitored target and initiate an emergency call event to the target public institution if the current state of the monitored target meets a preset second abnormal level, where the second abnormal level indicates that the monitored target has an abnormal condition that needs emergency processing;
the communication information acquisition module is used for receiving the first predicted arrival time fed back by the target public institution and acquiring the communication information of the medical personnel near the position of the monitoring target from a preset registration database according to the position information of the monitoring target;
a target terminal determining module, configured to initiate a call event to an intelligent terminal corresponding to the medical care worker according to the communication information, determine the intelligent terminal corresponding to the medical care worker, which has fed back response information, as a target terminal, and send position information of the monitoring target to the target terminal, where the response information indicates that the corresponding medical care worker agrees to process the call event;
and the processing terminal determining module is used for receiving the second predicted arrival time fed back by the target terminal and determining a processing terminal from the target terminal according to the second predicted arrival time and the first predicted arrival time, wherein the processing terminal is the target terminal of which the corresponding second predicted arrival time is smaller than the first predicted arrival time.
6. The target exception handling apparatus of claim 5, wherein the status information comprises behavioral pose information, facial information, and health parameters, the target monitoring module comprising:
the first matching information determining unit is used for extracting the human body characteristic information of the monitoring target from the behavior posture information and matching the human body characteristic information with preset reference abnormal information to obtain first matching information, and the first matching information indicates a matching result of the human body characteristic information and the preset reference abnormal information;
the second matching information determining unit is used for extracting a face image of the monitoring target from the face information, recognizing the face image by adopting a preset emotion recognition model to obtain emotion information of the face image, and matching the emotion information with preset abnormal emotion information to obtain second matching information, wherein the second matching information indicates a matching result of the emotion information and the preset abnormal emotion information;
a third matching information determining unit, configured to match the health parameter with a preset reference parameter to obtain third matching information, where the third matching information indicates a matching result between the health parameter and the preset reference parameter;
and the current state determining unit is used for determining the current state of the monitoring target according to the first matching information, the second matching information and the third matching information.
7. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the target exception handling method according to any one of claims 1 to 4 when executing the computer program.
8. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the target exception handling method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010626359.5A CN111967307B (en) | 2020-07-02 | 2020-07-02 | Target exception handling method and device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010626359.5A CN111967307B (en) | 2020-07-02 | 2020-07-02 | Target exception handling method and device, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111967307A CN111967307A (en) | 2020-11-20 |
| CN111967307B true CN111967307B (en) | 2021-11-09 |
Family
ID=73361208
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010626359.5A Active CN111967307B (en) | 2020-07-02 | 2020-07-02 | Target exception handling method and device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111967307B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113114977A (en) * | 2021-02-20 | 2021-07-13 | 广州颐寿科技有限公司 | Intelligent nursing system and intelligent nursing method |
| CN114268767A (en) * | 2021-11-12 | 2022-04-01 | 珠海格力电器股份有限公司 | Emergency call method, emergency call device, storage medium and electronic equipment |
| CN115721275B (en) * | 2022-11-11 | 2023-11-24 | 深圳市捷美瑞科技有限公司 | Pulse wave data acquisition and blood pressure measurement method, device, equipment and medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106534796A (en) * | 2016-11-29 | 2017-03-22 | 北京小米移动软件有限公司 | Method and device for monitoring safety of infant and child |
| CN109243598A (en) * | 2018-08-23 | 2019-01-18 | 蔡岳林 | A kind of long distance monitoring method of calling and system |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105023209A (en) * | 2015-03-11 | 2015-11-04 | 吴岭 | Omnidirectional real-time student nursing assistant education home-school-student wireless linkage system |
| CN106777954B (en) * | 2016-12-09 | 2019-08-23 | 电子科技大学 | A kind of intelligent guarding system and method for Empty nest elderly health |
| CN108717678B (en) * | 2018-05-25 | 2021-12-21 | 青岛联合创智科技有限公司 | Wisdom endowment system |
| CN110047588A (en) * | 2019-03-18 | 2019-07-23 | 平安科技（深圳）有限公司 | Method of calling, device, computer equipment and storage medium based on micro- expression |
| CN109919132B (en) * | 2019-03-22 | 2021-04-23 | 广东省智能制造研究所 | Pedestrian falling identification method based on skeleton detection |
| CN110211334A (en) * | 2019-06-25 | 2019-09-06 | 启迪数华科技有限公司 | Campus Security alarming method for power and device based on big data neural network |
| CN210575131U (en) * | 2019-08-06 | 2020-05-19 | 青岛联合创智科技有限公司 | Home-based old-age care system |
-
2020
- 2020-07-02 CN CN202010626359.5A patent/CN111967307B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106534796A (en) * | 2016-11-29 | 2017-03-22 | 北京小米移动软件有限公司 | Method and device for monitoring safety of infant and child |
| CN109243598A (en) * | 2018-08-23 | 2019-01-18 | 蔡岳林 | A kind of long distance monitoring method of calling and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111967307A (en) | 2020-11-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111967307B (en) | Target exception handling method and device, computer equipment and storage medium | |
| US11013409B2 (en) | Systems and methods for communicating data | |
| US9079045B2 (en) | Wearable defibrillator system communicating via mobile communication device | |
| EP3317786B1 (en) | Cardiopulmonary resuscitation coordination method, computer program product and system | |
| CN110192218A (en) | Utilize the situation of biometric evaluation respondent and the CAD of adaptability and method | |
| CN107004056A (en) | Method and system for providing critical care using wearable device | |
| JP6719072B2 (en) | Customer service device, service method and service system | |
| JP6905773B2 (en) | Watching band monitoring system, watching band monitoring device, watching band monitoring method and watching band monitoring program | |
| CN112236788A (en) | Personal protection device and safety management system with active worker sensing and evaluation | |
| CN106573376A (en) | Activity monitoring of a robot | |
| US20160042623A1 (en) | Patient Monitoring System | |
| US20210177259A1 (en) | System and method for caching and processing sensor data locally | |
| CN109199347B (en) | Ward terminal and computer readable storage medium for analgesia monitoring | |
| CN110767294A (en) | Resource scheduling method and device, electronic equipment and readable storage medium | |
| US20160022227A1 (en) | Method of Transmitting an Emergency Audiovisual Alert to an Emergency Contact and Emergency Medical Services | |
| CN112002389B (en) | Remote medical paging method, device, system, computer equipment and storage medium | |
| CN115578223A (en) | Emergency rescue method for multi-terminal cooperative remote guidance rescue | |
| US20240029877A1 (en) | Systems and methods for detection of subject activity by processing video and other signals using artificial intelligence | |
| Osmani et al. | Human activity recognition supporting context-appropriate reminders for elderly | |
| US20200350067A1 (en) | Physiological measurement processing | |
| CN113033241A (en) | Supervision method and system | |
| JP2022034630A (en) | Athletes management system | |
| CN115512819A (en) | First-aid information management coordination system | |
| CN116205416A (en) | Rescue service method, system, electronic device and storage medium | |
| CN116887190A (en) | Rescue method based on wearable equipment, terminal equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 510000 No. 293 Shipai Zhongshan Avenue, Tianhe District, Guangzhou City, Guangdong Province Applicant after: GUANGDONG POLYTECHNIC NORMAL University Applicant after: Zhongkai University of Agriculture and Engineering Applicant after: Institute of intelligent manufacturing, Guangdong Academy of Sciences Address before: 510000 No. 293 Shipai Zhongshan Avenue, Tianhe District, Guangzhou City, Guangdong Province Applicant before: GUANGDONG POLYTECHNIC NORMAL University Applicant before: Zhongkai University of Agriculture and Engineering Applicant before: GUANGDONG INSTITUTE OF INTELLIGENT MANUFACTURING |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |