CN112102585A - Intelligent behavior analysis system applied to old age support place - Google Patents
Intelligent behavior analysis system applied to old age support place Download PDFInfo
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- CN112102585A CN112102585A CN201910529436.2A CN201910529436A CN112102585A CN 112102585 A CN112102585 A CN 112102585A CN 201910529436 A CN201910529436 A CN 201910529436A CN 112102585 A CN112102585 A CN 112102585A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0476—Cameras to detect unsafe condition, e.g. video cameras
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
- G08B21/0423—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting deviation from an expected pattern of behaviour or schedule
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0492—Sensor dual technology, i.e. two or more technologies collaborate to extract unsafe condition, e.g. video tracking and RFID tracking
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Abstract
The invention discloses an intelligent behavior analysis system applied to an old-age care place, which comprises a collection end, a server end and an output end, wherein the collection end, the server end and the output end are communicated with a local area network; the collecting end comprises monitoring cameras, help seeking buttons, smoke sensors and temperature sensors which are arranged in all areas of a prison place; the output end comprises a monitoring screen, a remote client and an alarm sound which are arranged in a monitoring room; the system mainly analyzes the prison place in real time through monitoring video streams, and based on the human body skeleton structure, according to various abnormal behaviors defined by motion tracks, as long as the actions of people in a scene and the rules of other people change, various abnormal behaviors are immediately judged and screen popping alarms are sent out, and a worker does not need to observe a plurality of monitoring pictures in a monitoring room at any time.
Description
Technical Field
The invention relates to a monitoring system for identifying special behaviors and objects, in particular to an intelligent behavior analysis system applied to an old-age care place.
Background
In the old-age care place, a video monitoring system monitoring site is installed, daily monitoring of the old-age care place is facilitated, safety of the old people is guaranteed, and special events are handled in time, meanwhile, things which occur to workers in the old-age care place are recorded, objective and powerful evidence is provided for checking of the events in the future, however, in the practical application of the monitoring system, real-time monitoring of the old-age care place, prevention of the special events and timely handling of emergency alarms are achieved, the workers are required to observe a plurality of monitoring pictures in a monitoring room all the time, the spirit of the observers can be greatly consumed, attention of the observers can be easily lost, if the emergency occurs, the workers are difficult to find the monitoring pictures, the events cannot be handled in time, conditions are upgraded, and safety of the old people is affected.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an intelligent behavior analysis system applied to an old-age place.
The technical scheme adopted by the invention for solving the technical problems is as follows:
an intelligent behavior analysis system applied to an old-age place comprises a collection end, a server end and an output end, wherein the collection end, the server end and the output end are communicated with a local area network;
the collecting end comprises monitoring cameras, help seeking buttons, smoke sensors and temperature sensors which are arranged in all areas of a prison place;
the output end comprises a monitoring screen arranged in a monitoring room, remote client ends arranged at all posts and used for receiving alarm information, and alarm sound boxes arranged at all places of the nursing home;
the server side includes:
an information processing module: the system comprises a human figure distinguishing module, a human face recognition module and an object recognition module, wherein the human figure distinguishing module is used for distinguishing human figures from human faces;
a figure judging module: the image capturing module is used for judging and sketching figure image data in a captured image and sending the judged data to the object identification module and the skeleton construction module;
an object identification module: the system comprises a snapshot module, a human figure judging module, an alarm processing module and a human body recognition module, wherein the snapshot module is used for capturing a snapshot image or human figure image data sent by the human figure judging module, recognizing a specific article and a wearing article of a human body, generating alarm information and sending the alarm information to the alarm processing module; a face recognition module: the face recognition module is used for carrying out face recognition on the captured image, generating alarm information and sending the alarm information to the alarm processing module, and the face information of the old and the staff is stored;
a framework construction module: the human body skeleton data generating module is used for processing the human figure image, generating human body skeleton data and sending the human body skeleton data to the behavior analysis module; a behavior analysis module: a behavior action database is stored and used for arranging the received human body skeleton data according to time sequence, identifying the behavior action of the human body skeleton, comparing the behavior action database with the behavior action database, generating alarm information and sending the alarm information to an alarm processing module, and meanwhile sending the captured image to the face recognition module for face recognition; an alarm processing module: and the alarm information is used for receiving and processing the alarm information of character behaviors, face recognition and object recognition, and the generated alarm content and video pictures are sent to the output end.
The behavior actions comprise limb actions, skeleton actions, time actions and people number actions;
the limb actions include: asking for help and falling down;
the skeletal actions include: break-in, climb and get up at night;
the time action includes: off duty, sleeping duty, lack of duty, wandering, staying, overtime in toilet, sedentary;
the number of people actions includes: gathering together and trailing.
The installation position of the acquisition end comprises a public area, a perimeter enclosing wall, an old people room, a duty post, an entrance, a staircase and a leisure area.
The server side further comprises a streaming media server, and the video streams collected by the monitoring cameras are all sent to the streaming media server and are uniformly sent to the information processing module by the streaming media server.
The monitoring process of the system is as follows:
step 01: the acquisition end for real-time monitoring and detection sends the video image and the sensing data to the information processing module; step 02: the information processing module identifies a help-seeking button, an infrared sensor, a smoke sensor and a temperature sensor which trigger an alarm in collected data, acquires the position of an area, simultaneously transmits event alarm information consisting of event types to the alarm processing module, transmits screenshot data of each monitoring camera to the figure distinguishing module and the object identification module, simultaneously transmits face data of figures in the collected image to the face identification module, compares the face data with a database and determines the identity of the persons in the field;
step 03: the figure distinguishing module is used for scratching and drawing a human body image based on the screenshot data and sending the human body image to the object identification module and the skeleton construction module;
step 04: the object recognition module processes the received human body image and screenshot data, recognizes an object image existing in a picture of the screenshot data by contrasting an object database stored inside, and generates object alarm information for the area position of the alarming monitoring camera and sends the object alarm information to the alarm processing module;
step 05: the skeleton construction module processes the human body image, generates a human body skeleton and sends the human body skeleton to the behavior analysis module;
step 06: the behavior analysis module arranges the received human skeletons according to time sequence, identifies the action postures of the human skeletons, compares a skeleton action database stored in the module, judges the action types of the human skeletons, generates behavior alarm information and sends the behavior alarm information to the alarm processing module, and sends face data of people to the face recognition module for face recognition to determine the identity of the old;
step 07: an alarm processing module: receiving and processing event, behavior and object alarm information, sending alarm content to the mobile equipment, and giving an alarm on a corresponding monitoring screen on a monitoring room according to the type and the area position of the alarm sound broadcast event to prompt monitoring personnel to know the occurrence and the area position of the event.
The invention has the beneficial effects that: the system comprises a collection end, a server end and an output end which are communicated with a local area network, wherein the server end comprises an information processing module, a person distinguishing module, a skeleton building module, an object recognition module, a face recognition module, a behavior analysis module and an alarm processing module, the system mainly analyzes the old-age care place in real time through monitoring video streams, and based on the skeleton structure of a human body, various abnormal behaviors defined according to motion tracks are immediately judged and screen popping alarms are sent out as long as the actions of people and the rules of other people in a scene change, and a worker does not need to observe a plurality of monitoring pictures in a monitoring room at any time.
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The invention is further illustrated with reference to the following figures and examples.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
Referring to fig. 1, an intelligent behavior analysis system applied to a place for old people includes a collection end, an NVR video recorder, a server end and an output end, which are communicated with a local area network; the collecting end comprises monitoring cameras, help seeking buttons, smoke sensors and temperature sensors which are arranged in all areas of the old-age care place; the output end comprises a monitoring screen arranged in a monitoring room, remote client ends arranged at all posts and used for receiving alarm information, and alarm sound equipment arranged at all places for endowment, when the system detects abnormality, the abnormal video picture is immediately displayed on the monitoring screen in a popup mode, and other remote client ends can synchronously receive the alarm information; the NVR video recorder is placed in a monitoring room and controls and manages the monitoring camera, and pictures collected by the monitoring camera on one hand transmit a main code stream to the NVR video recorder for storage through a local area network and on the other hand transmit a sub code stream to the server side for behavior analysis; the monitoring camera is a 500-ten-thousand-pixel infrared integrated zooming intelligent AI behavior acquisition speed dome (the model is DX-XJ40Q5-I), the server side is a 4U rack type high-performance GPU server, analysis of 16 paths, 32 paths, 64 paths or customized multi-path video streams is supported, and the monitoring camera has a storage function.
The server side includes:
an information processing module: the system comprises a human figure distinguishing module, a human face recognition module and an object recognition module, wherein the human figure distinguishing module is used for distinguishing human figures from human faces;
a figure judging module: the image capturing module is used for judging and sketching figure image data in a captured image and sending the judged data to the object identification module and the skeleton construction module;
an object identification module: the system comprises a snapshot module, a human figure judging module, an alarm processing module and a human body recognition module, wherein the snapshot module is used for capturing a snapshot image or human figure image data sent by the human figure judging module, recognizing a specific article and a wearing article of a human body, generating alarm information and sending the alarm information to the alarm processing module; a face recognition module: the face recognition module is used for carrying out face recognition on the captured image, generating alarm information and sending the alarm information to the alarm processing module, and the face information of students and aged workers is stored in the alarm processing module;
a framework construction module: the human body skeleton data generating module is used for processing the human figure image, generating human body skeleton data and sending the human body skeleton data to the behavior analysis module; a behavior analysis module: a behavior action database is stored and used for arranging the received human body skeleton data according to time sequence, identifying the behavior action of the human body skeleton, comparing the behavior action database with the behavior action database, generating alarm information and sending the alarm information to an alarm processing module, and meanwhile sending the captured image to the face recognition module for face recognition; an alarm processing module: the alarm information is used for receiving and processing the alarm information of character behaviors, face recognition and object recognition, and the generated alarm content and video pictures are sent to the output end; the system mainly analyzes the old-age care place in real time through monitoring video streams, based on a human body skeleton structure, according to various abnormal behaviors defined by motion tracks, as long as actions of people and rules of other people in a scene change, the various abnormal behaviors are immediately judged and screen popping alarms are sent out, and a plurality of monitoring pictures do not need to be observed by workers in a monitoring room at any time.
The module software and hardware combination technology of the information processing module, the person distinguishing module, the face recognition module, the object recognition module, the skeleton construction module, the behavior analysis module and the alarm processing module is the prior art, the information processing module of video monitoring and sensing information processing is described in the patent document of "a campus wireless video monitoring system" with the publication number of "CN 105791772A", the object recognition module of matching, recognizing and recording the object of the monitoring image shot by the camera shooting device is described in the patent document of "video monitoring method, system and camera shooting monitoring system" with the publication number of "CN 104902229A", the device of constructing the human skeleton recognition behavior by the photographic image is described in the patent document of "human skeleton behavior recognition method and device based on deep reinforcement learning" with the publication number of "CN 108304795A", and the server can be used as a function integration platform in the actual use, the system can be connected with various control devices with data providing capacity, such as relays and access control devices, received data are uniformly identified and processed by the information processing module, and the subordinate hardware devices installed in the old-age care place are uniformly monitored and managed, so that all the module devices of the whole system can operate efficiently and cooperatively.
The behavior actions comprise limb actions, skeleton actions, time actions and people number actions;
the limb actions include: asking for help and falling down; waving hands opposite to the camera to be defined as asking for help; when the head, the buttocks and the feet of the person are positioned on the same plane and are parallel to the ground, the person falls;
the skeletal actions include: break-in, climb and get up at night; the scene picture with limited intrusion is defined as intrusion when a person is detected; climbing is defined when both feet leave the bottom surface and climb upwards; but the old people can get up to go to the toilet suddenly at night while sleeping, and the night getting up is defined as getting up at night;
the time action includes: off duty, sleeping duty, lack of duty, wandering, staying, overtime in toilet, sedentary; the person on duty leaves the duty position for more than the specified time and is defined as leaving the duty; defining the person on duty as sleeping duty when the person on duty sleeps for more than a specified time; if no person is on duty for a long time, the duty-off position is defined as the off-duty position; when the old people still walk in the activity area and do not return to normal rest in noon break or other specific time periods, the old people are defined as loitering after a certain time; when the sleeping stage is reached at night, the retention is defined as the retention if the old people still stay in the activity area for more than a certain time; when the old people enter the toilet and do not come out after the time specified by the system is exceeded, the time is defined as overtime of going into the toilet (only the door of the toilet can be seen, and the inside of the toilet does not need to be seen); when the old people stay still on the outdoor resting chair, the old people can be defined as sedentary when the old people stay still for a certain time;
the number of people actions includes: gathering people and trailing; defining the number of the people gathering in the picture as the number of the people gathering if the number of the people gathering in the picture exceeds the number set by the system; when the old people go out at the entrance and a person follows behind the entrance, the old people are defined as following.
The installation position of the acquisition end comprises a public area, a perimeter enclosing wall, an old people room, a duty post, an entrance, a staircase and a leisure area.
The server side further comprises a streaming media server, and the video streams collected by the monitoring cameras are all sent to the streaming media server and are uniformly sent to the information processing module by the streaming media server.
The monitoring process of the system is as follows:
step 01: the acquisition end for real-time monitoring and detection sends the video image and the sensing data to the information processing module; step 02: the information processing module identifies a help-seeking button, an infrared sensor, a smoke sensor and a temperature sensor which trigger an alarm in collected data, acquires the position of an area, simultaneously transmits event alarm information consisting of event types to the alarm processing module, transmits screenshot data of each monitoring camera to the figure distinguishing module and the object identification module, simultaneously transmits face data of figures in the collected image to the face identification module, compares the face data with a database and determines the identity of the persons in the field;
step 03: the figure distinguishing module is used for scratching and drawing a human body image based on the screenshot data and sending the human body image to the object identification module and the skeleton construction module;
step 04: the object recognition module processes the received human body image and screenshot data, recognizes an object image existing in a picture of the screenshot data by contrasting an object database stored inside, and generates object alarm information for the area position of the alarming monitoring camera and sends the object alarm information to the alarm processing module;
step 05: the skeleton construction module processes the human body image, generates a human body skeleton and sends the human body skeleton to the behavior analysis module;
step 06: the behavior analysis module arranges the received human skeletons according to time sequence, identifies the action postures of the human skeletons, compares a skeleton action database stored in the module, judges the action types of the human skeletons, generates behavior alarm information and sends the behavior alarm information to the alarm processing module, and sends face data of people to the face recognition module for face recognition to determine the identity of the old;
step 07: an alarm processing module: receiving and processing event, behavior and object alarm information, sending alarm content to the mobile equipment, and giving an alarm on a corresponding monitoring screen on a monitoring room according to the type and the area position of the alarm sound broadcast event to prompt monitoring personnel to know the occurrence and the area position of the event.
The above embodiments do not limit the scope of the present invention, and those skilled in the art can make equivalent modifications and variations without departing from the overall concept of the present invention.
Claims (5)
1. An intelligent behavior analysis system applied to an old-age care place is characterized by comprising a collecting end, a server end and an output end, wherein the collecting end, the server end and the output end are communicated with a local area network;
the collecting end comprises monitoring cameras, help seeking buttons, smoke sensors and temperature sensors which are arranged in all areas of a prison place;
the output end comprises a monitoring screen arranged in a monitoring room, remote client ends arranged at all posts and used for receiving alarm information, and alarm sound boxes arranged at all places of the nursing home;
the server side includes:
an information processing module: the system comprises a human figure distinguishing module, a human face recognition module and an object recognition module, wherein the human figure distinguishing module is used for distinguishing human figures from human faces;
a figure judging module: the image capturing module is used for judging and sketching figure image data in a captured image and sending the judged data to the object identification module and the skeleton construction module;
an object identification module: the system comprises a snapshot module, a human figure judging module, an alarm processing module and a human body recognition module, wherein the snapshot module is used for capturing a snapshot image or human figure image data sent by the human figure judging module, recognizing a specific article and a wearing article of a human body, generating alarm information and sending the alarm information to the alarm processing module;
a face recognition module: the face recognition module is used for carrying out face recognition on the captured image, generating alarm information and sending the alarm information to the alarm processing module, and the face information of the old and the staff is stored;
a framework construction module: the human body skeleton data generating module is used for processing the human figure image, generating human body skeleton data and sending the human body skeleton data to the behavior analysis module;
a behavior analysis module: a behavior action database is stored and used for arranging the received human body skeleton data according to time sequence, identifying the behavior action of the human body skeleton, comparing the behavior action database with the behavior action database, generating alarm information and sending the alarm information to an alarm processing module, and meanwhile sending the captured image to the face recognition module for face recognition;
an alarm processing module: and the alarm information is used for receiving and processing the alarm information of character behaviors, face recognition and object recognition, and the generated alarm content and video pictures are sent to the output end.
2. The intelligent behavior analysis system applied to the endowment place according to claim 1, wherein the behavior actions comprise limb actions, skeleton actions, time actions and people number actions;
the limb actions include: asking for help and falling down;
the skeletal actions include: break-in, climb and get up at night;
the time action includes: off duty, sleeping duty, lack of duty, wandering, staying, overtime in toilet, sedentary;
the number of people actions includes: gathering together and trailing.
3. The intelligent behavior analysis system applied to the elderly care places of claim 1, wherein the installation location of the collection end comprises public areas, perimeter walls, old people living rooms, duty posts, entrances and exits, stairwells and leisure areas.
4. The intelligent behavior analysis system applied to prison sites as claimed in claim 1, wherein the server further comprises a streaming media server, and the video streams collected by the monitoring cameras are all sent to the streaming media server and are sent to the information processing module by the streaming media server in a unified manner.
5. The behavior video monitoring system applied to the endowment place according to claim 1, characterized in that the monitoring process of the system is as follows:
step 01: the acquisition end for real-time monitoring and detection sends the video image and the sensing data to the information processing module;
step 02: the information processing module identifies a help-seeking button, an infrared sensor, a smoke sensor and a temperature sensor which trigger an alarm in collected data, acquires the position of an area, simultaneously transmits event alarm information consisting of event types to the alarm processing module, transmits screenshot data of each monitoring camera to the figure distinguishing module and the object identification module, simultaneously transmits face data of figures in the collected image to the face identification module, compares the face data with a database and determines the identity of the persons in the field;
step 03: the figure distinguishing module is used for scratching and drawing a human body image based on the screenshot data and sending the human body image to the object identification module and the skeleton construction module;
step 04: the object recognition module processes the received human body image and screenshot data, recognizes an object image existing in a picture of the screenshot data by contrasting an object database stored inside, and generates object alarm information for the area position of the alarming monitoring camera and sends the object alarm information to the alarm processing module;
step 05: the skeleton construction module processes the human body image, generates a human body skeleton and sends the human body skeleton to the behavior analysis module;
step 06: the behavior analysis module arranges the received human skeletons according to time sequence, identifies the action postures of the human skeletons, compares a skeleton action database stored in the module, judges the action types of the human skeletons, generates behavior alarm information and sends the behavior alarm information to the alarm processing module, and sends face data of people to the face recognition module for face recognition to determine the identity of the old;
step 07: an alarm processing module: receiving and processing event, behavior and object alarm information, sending alarm content to the mobile equipment, and giving an alarm on a corresponding monitoring screen on a monitoring room according to the type and the area position of the alarm sound broadcast event to prompt monitoring personnel to know the occurrence and the area position of the event.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112926527A (en) * | 2021-03-31 | 2021-06-08 | 重庆风云际会智慧科技有限公司 | Rapid verification system for supervision place |
| 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 |
| CN113438457A (en) * | 2021-08-26 | 2021-09-24 | 广州洛克韦陀安防科技有限公司 | Home monitoring method and home monitoring system for improving warning accuracy |
| CN116246424A (en) * | 2023-02-03 | 2023-06-09 | 山东大学 | Old people's behavioral safety monitored control system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070182540A1 (en) * | 2006-02-06 | 2007-08-09 | Ge Security, Inc. | Local verification systems and methods for security monitoring |
| CN103325080A (en) * | 2013-06-21 | 2013-09-25 | 电子科技大学 | Gerocamium intelligent nursing system and method based on Internet of Things technology |
| CN203630821U (en) * | 2013-12-23 | 2014-06-04 | 中国人民解放军国防科学技术大学 | Old man caring system based on Internet-of-things |
| CN106027978A (en) * | 2016-06-21 | 2016-10-12 | 南京工业大学 | Video monitoring abnormal behavior system and method for smart home old people care |
| CN107886677A (en) * | 2017-11-21 | 2018-04-06 | 哈尔滨理工大学 | A kind of the elderly's gait household monitoring system based on Kinect |
| CN108510422A (en) * | 2018-04-04 | 2018-09-07 | 四川长虹电器股份有限公司 | A kind of intelligence endowment management system based on DTV |
| CN108717678A (en) * | 2018-05-25 | 2018-10-30 | 青岛联合创智科技有限公司 | A kind of wisdom endowment system |
| CN109448291A (en) * | 2018-11-22 | 2019-03-08 | 广东点讯智能科技有限公司 | A kind of behavior video monitoring system applied to construction site |
-
2019
- 2019-06-18 CN CN201910529436.2A patent/CN112102585A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070182540A1 (en) * | 2006-02-06 | 2007-08-09 | Ge Security, Inc. | Local verification systems and methods for security monitoring |
| CN103325080A (en) * | 2013-06-21 | 2013-09-25 | 电子科技大学 | Gerocamium intelligent nursing system and method based on Internet of Things technology |
| CN203630821U (en) * | 2013-12-23 | 2014-06-04 | 中国人民解放军国防科学技术大学 | Old man caring system based on Internet-of-things |
| CN106027978A (en) * | 2016-06-21 | 2016-10-12 | 南京工业大学 | Video monitoring abnormal behavior system and method for smart home old people care |
| CN107886677A (en) * | 2017-11-21 | 2018-04-06 | 哈尔滨理工大学 | A kind of the elderly's gait household monitoring system based on Kinect |
| CN108510422A (en) * | 2018-04-04 | 2018-09-07 | 四川长虹电器股份有限公司 | A kind of intelligence endowment management system based on DTV |
| CN108717678A (en) * | 2018-05-25 | 2018-10-30 | 青岛联合创智科技有限公司 | A kind of wisdom endowment system |
| CN109448291A (en) * | 2018-11-22 | 2019-03-08 | 广东点讯智能科技有限公司 | A kind of behavior video monitoring system applied to construction site |
Cited By (4)
| 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 |
| CN112926527A (en) * | 2021-03-31 | 2021-06-08 | 重庆风云际会智慧科技有限公司 | Rapid verification system for supervision place |
| CN113438457A (en) * | 2021-08-26 | 2021-09-24 | 广州洛克韦陀安防科技有限公司 | Home monitoring method and home monitoring system for improving warning accuracy |
| CN116246424A (en) * | 2023-02-03 | 2023-06-09 | 山东大学 | Old people's behavioral safety monitored control system |
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Application publication date: 20201218 |
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| RJ01 | Rejection of invention patent application after publication |