CN105575049A - Early warning method, device and terminal - Google Patents
Early warning method, device and terminal Download PDFInfo
- Publication number
- CN105575049A CN105575049A CN201510366401.3A CN201510366401A CN105575049A CN 105575049 A CN105575049 A CN 105575049A CN 201510366401 A CN201510366401 A CN 201510366401A CN 105575049 A CN105575049 A CN 105575049A
- Authority
- CN
- China
- Prior art keywords
- moving target
- hazardous location
- scope
- fringe region
- early warning
- 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.)
- Granted
Links
Classifications
-
- 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
- G08B21/0469—Presence detectors to detect unsafe condition, e.g. infrared sensor, microphone
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- Geometry (AREA)
- Computer Graphics (AREA)
- Human Computer Interaction (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Gerontology & Geriatric Medicine (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The embodiment of the invention discloses an early warning method, device and terminal. The method can comprise the steps that three-dimensional model data in a monitoring space are acquired in real time through a three-dimensional modeling system, the monitoring space includes a moving target and a danger area, and the danger area is the area in which objects of which height exceeds the preset threshold are located; whether the moving target is located in the range of the preset edge area of the danger area is judged according to the three-dimensional model data acquired in real time; and if the judgment result indicates that the moving target is located in the range of the preset edge area of the danger area, early warning information is emitted. With application of the early warning method, device and terminal, the moving situation of the moving target can be intelligently monitored through the three-dimensional modeling system, and timely early warning can be performed when the judgment result indicates that the moving target is in the risk of falling.
Description
Technical field
The present invention relates to communication technical field, particularly relate to a kind of method for early warning, device and terminal.
Background technology
According to ICD (ICD10), fall wound and incorporate into as unexpected injury, refer to the effect due to gravity, human body is fallen suddenly or is fallen, and impinges upon same or lower surface level and the injury caused.And the high rate that infant falls wound is not sounded the alarm to us all the time---the display of global children's safety survey of organization, in China, surprisingly falling is urban children unexpected injury first cause, and the unexpected injury of 36% is caused by unexpected falling.Surprisingly falling is the third-largest reason of urban children death because of unexpected injury in 0 ~ 14 years old, is the first cause of non-lethality injury.At present, when having the infant or the elderly's rest that can not take care of oneself in manager, often because of fortuitous event generations such as the not thorough infant of causing of nurse or the elderly fall, finally can may cause hardly imaginable consequence.
Summary of the invention
Embodiment of the present invention technical matters to be solved is, a kind of method for early warning, device and terminal are provided, monitored intelligently by 3 d modeling system and dope moving target and whether have falling hazard, and carry out timely early warning for possible falling hazard, thus situation of falling effectively is avoided to occur.
First aspect, embodiments provides a kind of method for early warning, can comprise:
By the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, described monitoring space comprises moving target and hazardous location, and described hazardous location is the region at the object place highly exceeding predetermined threshold value;
According to the three-dimensional modeling data of described Real-time Obtaining, judge whether described moving target is within the scope of the default fringe region of described hazardous location;
If judge, described moving target is within the scope of the default fringe region of described hazardous location, sends early warning information.
In conjunction with first aspect, in the implementation that the first is possible, the described three-dimensional modeling data according to described Real-time Obtaining, before judging within the scope of the default fringe region whether described moving target is in described hazardous location, also comprises:
According to the three-dimensional modeling data in the monitoring space of described Real-time Obtaining, in conjunction with preset rules, object corresponding for the three-dimensional modeling data meeting default characterization factor is judged to be moving target.
In conjunction with first aspect, in the implementation that the second is possible, the described three-dimensional modeling data according to described Real-time Obtaining, judges whether described moving target is within the scope of the default fringe region of described hazardous location, comprising:
According to the three-dimensional modeling data of described Real-time Obtaining, judge the translational speed of described moving target;
When the translational speed of described moving target exceedes predetermined threshold value, trigger and judge whether described moving target is within the scope of the default fringe region of described hazardous location.
In conjunction with first aspect, in the implementation that the third is possible, judge that if described described moving target is within the scope of the default fringe region of described hazardous location, sends early warning information, comprising:
When judging that described moving target is within the scope of the default fringe region of described hazardous location, trigger the moving direction data obtaining described moving target;
According to described moving direction data, judge whether described moving target moves to the edge that described default fringe region scope is corresponding;
If so, be then judged to be that described moving target has falling hazard, sends early warning information.
In conjunction with first aspect, in the 4th kind of possible implementation, described in send early warning information, comprising: send early warning information with at least one alarm mode in video pictures, short message, urgent incoming call or distress call to default terminal.
Second aspect, embodiments provides a kind of prior-warning device, can comprise:
Acquisition module, for passing through the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, described monitoring space comprises moving target and hazardous location, and described hazardous location is the region at the object place highly exceeding predetermined threshold value;
Judge module, for the three-dimensional modeling data according to described Real-time Obtaining, judges whether described moving target is within the scope of the default fringe region of described hazardous location;
Warning module, if for judging that described moving target is within the scope of the default fringe region of described hazardous location, send early warning information.
In conjunction with second aspect, in the implementation that the first is possible, described device, also comprises:
Determination module, for according to the three-dimensional modeling data in the monitoring space of described Real-time Obtaining, is judged to be moving target in conjunction with preset rules by object corresponding for the three-dimensional modeling data meeting default characterization factor.
In conjunction with second aspect, in the implementation that the second is possible, described judge module, comprising:
First judging unit, for the three-dimensional modeling data according to described Real-time Obtaining, judges the translational speed of described moving target;
Second judging unit, for when the translational speed of described moving target exceedes predetermined threshold value, triggers and judges whether described moving target is within the scope of the default fringe region of described hazardous location.
In conjunction with second aspect, in the implementation that the third is possible, described warning module, comprising:
Acquiring unit, for when judging that described moving target is within the scope of the default fringe region of described hazardous location, triggers the moving direction data obtaining described moving target;
Judging unit, for according to described moving direction data, judges whether described moving target moves to the edge that described default fringe region scope is corresponding;
Prewarning unit, for if the determination result is YES, is then judged to be that described moving target has falling hazard, sends early warning information.
In conjunction with second aspect, in the 4th kind of possible implementation, described warning module, specifically for:
If judge, described moving target is within the scope of the default fringe region of described hazardous location, sends early warning information with at least one alarm mode in video pictures, short message, urgent incoming call or distress call to default terminal.
The third aspect, embodiments provides a kind of Forewarning Terminal, can comprise: input media, output unit, storer and processor;
Wherein, described storer is used for program code stored, the program code execution following steps that described processor stores for calling described storer:
By the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, described monitoring space comprises moving target and hazardous location, and described hazardous location is the region at the object place highly exceeding predetermined threshold value; According to the three-dimensional modeling data of described Real-time Obtaining, judge whether described moving target is within the scope of the default fringe region of described hazardous location; If judge, described moving target is within the scope of the default fringe region of described hazardous location, sends early warning information.
Implement the embodiment of the present invention, there is following beneficial effect:
The embodiment of the present invention, by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, and according to the three-dimensional modeling data of this Real-time Obtaining, judge whether moving target is within the scope of the default fringe region of hazardous location, if judge, moving target is within the scope of the default fringe region of hazardous location, then send early warning information, achieve and to be monitored intelligently by 3 d modeling system and to judge the falling hazard whether foresight activity target has, and carry out timely early warning for possible falling hazard, thus effectively avoid situation of falling to occur, family is nursed more intelligent, light and convenient, improve thorough property and the security of family's nurse simultaneously.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of a kind of method for early warning in the embodiment of the present invention;
Fig. 2 is the schematic flow sheet of the another kind of method for early warning in the embodiment of the present invention;
Fig. 3 is the schematic flow sheet of another method for early warning in the embodiment of the present invention;
Fig. 4 is the schematic flow sheet of another method for early warning in the embodiment of the present invention;
Fig. 5, Fig. 6 are embody rule scene schematic diagram of method for early warning in the embodiment of the present invention;
Fig. 7 is the structural representation of a kind of prior-warning device in the embodiment of the present invention;
Fig. 8 is the structural representation of the another kind of prior-warning device in the embodiment of the present invention;
Fig. 9 is the structural representation of another prior-warning device in the embodiment of the present invention;
Figure 10 is the structural representation of another prior-warning device in the embodiment of the present invention;
Figure 11 is the structural representation of a kind of Forewarning Terminal in the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Should be understood that, although use term first, second describing method such as grade or unit herein, these methods or unit should not by the restrictions of these terms, and these terms are only used to be distinguished from each other.It is to be further understood that and use in this article, unless context clearly supports exception, singulative " " (" a ", " an " and " the ") is intended to also comprise plural form.Should also be understood that the "and/or" used in this article refers to comprise any of more than one or one project listed explicitly and likely combine.
Also it should be noted that, terminal in the embodiment of the present invention includes but not limited to the smart mobile phone with communication function, panel computer, media player, intelligent television, Intelligent bracelet, Intelligent worn device, MP3 player (MovingPictureExpertsGroupAudioLayerIII, dynamic image expert compression standard audio frequency aspect 3), MP4 (MovingPictureExpertsGroupAudioLayerIV, dynamic image expert compression standard audio frequency aspect 3) player, personal digital assistant (PersonalDigitalAssistant, PDA) subscriber equipment such as pocket computer on knee and desk-top computer.
Fig. 1 is the schematic flow sheet of a kind of method for early warning in the embodiment of the present invention, describe in detail below in conjunction with a kind of method for early warning in accompanying drawing 1 pair of embodiment of the present invention, as shown in Figure 1, a kind of method for early warning in the present embodiment can comprise the following steps S101-step S103.
Step S101: by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space.
Particularly, by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, monitoring space can comprise family room's environment, such as bedroom, guest room, parlor etc., three-dimensional model in monitoring space can comprise all kinds of furniture, as bed, sofa, desk and wardrobe etc.Described monitoring space comprises moving target and hazardous location, described hazardous location is the region at the object place highly exceeding predetermined threshold value, such as bed, sofa etc. have certain altitude and the region that baby may be caused to fall, and all belong to hazardous location in the present invention.Wherein moving target comprises the moving target that baby, old human or animal etc. can not take care of oneself.It should be noted that, the characterization factor that the moving target that monitoring space comprises can be preset according to the three-dimensional modeling data of Real-time Obtaining in 3 d modeling system and moving target judges moving target and its particular location, also can detect moving target in conjunction with camera or infrared sensing equipment and judge; The hazardous location that monitoring space comprises then can according to the altitude information in three-dimensional modeling data, and namely highly exceeding certain predetermined threshold decision is hazardous location.
Step S102: according to the three-dimensional modeling data of described Real-time Obtaining, judges whether described moving target is within the scope of the default fringe region of described hazardous location.
Particularly, by the three-dimensional modeling data of the monitoring space of Real-time Obtaining in step S101, judge whether moving target is within the scope of the default fringe region of hazardous location.Such as when baby on the bed in bedroom in bed, by the three-dimensional modeling data of Real-time Obtaining, judge whether model data corresponding to baby is within the scope of the fringe region of bed or sofa etc., this fringe region can be calculate in real time according to preset ratio according to the three-dimensional modeling data of the bed obtained or sofa, also can be that user is manually arranged according to demand, concrete account form the present invention of fringe region scope limit.
Step S103: described moving target is within the scope of the default fringe region of described hazardous location if judge, sends early warning information.
Particularly, if the judged result in step S102 is yes, be namely judged to be that moving target is in the state of falling hazard, then need to send early warning information in time.Such as, when judging that baby is in the fringe region of bed, be then judged to be that baby has falling hazard, sends early warning information in time.The mode sending early warning information can be send early warning information with at least one alarm mode in video pictures, short message, urgent incoming call or distress call to default terminal, and relevant nurse personnel or intelligent robot etc. also can be sent to process.Preferably, when moving target has body to enter within the scope of the fringe region of hazardous location, or when the whole health of moving target is all within the scope of the fringe region of hazardous location, all can be judged as that this moving target is within the scope of fringe region, needs to send early warning information in time.
The embodiment of the present invention, by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, and according to the three-dimensional modeling data of this Real-time Obtaining, judge whether moving target is within the scope of the default fringe region of hazardous location, if judge, moving target is within the scope of the default fringe region of hazardous location, then send early warning information, achieve and to be monitored intelligently by 3 d modeling system and to judge the falling hazard whether foresight activity target has, and carry out timely early warning for possible falling hazard, thus effectively avoid situation of falling to occur, family is nursed more intelligent, light and convenient, improve thorough property and the security of family's nurse simultaneously.
Fig. 2 is the schematic flow sheet of the another kind of method for early warning in the embodiment of the present invention, describe in detail below in conjunction with the another kind of method for early warning in accompanying drawing 2 pairs of embodiment of the present invention, as shown in Figure 2, the another kind of method for early warning in the embodiment of the present invention can comprise the following steps S201-step S204.
Step S201: by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space.
Particularly, can method step S101 in corresponding reference diagram 1 embodiment, do not repeat them here.
Step S202: according to the three-dimensional modeling data in the monitoring space of described Real-time Obtaining, in conjunction with preset rules, object corresponding for the three-dimensional modeling data meeting default characterization factor is judged to be moving target.
Particularly, according to the three-dimensional modeling data in the monitoring control of Real-time Obtaining in step S201, in conjunction with preset rules, object corresponding for the three-dimensional modeling data meeting default characterization factor is judged to be moving target, the characterization factor of such as personage can be the face feature of personage, the distribution characteristics etc. of limbs feature and concrete face or limbs, the moving target in monitoring space can be judged by the distinctive characterization factor of these personages, judge that method the present invention of moving target is not specifically limited.
Step S203: according to the three-dimensional modeling data of described Real-time Obtaining, judges whether described moving target is within the scope of the default fringe region of described hazardous location.
Particularly, can method step S102 in corresponding reference diagram 1 embodiment, do not repeat them here.
Step S204: described moving target is within the scope of the default fringe region of described hazardous location if judge, sends early warning information.
Particularly, can method step S103 in corresponding reference diagram 1 embodiment, do not repeat them here.
The embodiment of the present invention, by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, and according to the three-dimensional modeling data of this Real-time Obtaining, judge whether moving target is within the scope of the default fringe region of hazardous location, if judge, moving target is within the scope of the default fringe region of hazardous location, then send early warning information, achieve and to be monitored intelligently by 3 d modeling system and to judge the falling hazard whether foresight activity target has, and carry out timely early warning for possible falling hazard, thus effectively avoid situation of falling to occur, family is nursed more intelligent, light and convenient, improve thorough property and the security of family's nurse simultaneously.
Fig. 3 is the schematic flow sheet of another method for early warning in the embodiment of the present invention, describe in detail below in conjunction with another method for early warning in accompanying drawing 3 pairs of embodiment of the present invention, as shown in Figure 3, another method for early warning in the embodiment of the present invention can comprise the following steps S301-step S304.
Step S301: by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space.
Particularly, can method step S201 in corresponding reference diagram 2 embodiment, do not repeat them here.
Step S302: according to the three-dimensional modeling data of described Real-time Obtaining, judges the translational speed of described moving target.
Particularly, according to the three-dimensional modeling data of Real-time Obtaining in step S301, judge the translational speed of moving target.Such as within the time interval of presetting, by contrasting the three-dimensional modeling data of Real-time Obtaining, the displacement data of computational activity target, according to this prefixed time interval, can calculate the translational speed of moving target.Be understandable that prefixed time interval can carry out the adjustment of time length according to the user's request of reality, the present invention is not specifically limited.
Step S303: when the translational speed of described moving target exceedes predetermined threshold value, triggers and judges whether described moving target is within the scope of the default fringe region of described hazardous location.
Particularly, when the translational speed of the moving target calculated in step S302 exceedes predetermined threshold value, then trigger the three-dimensional modeling data according to Real-time Obtaining, continue to judge that moving target is current and whether be in the default edge extent of hazardous location.Such as when detecting that the baby on bed moves, judge the translational speed of baby, if speed is larger than certain value, then be judged as that this baby has and fall possibility, now need to judge whether baby is within the scope of the fringe region of bed further, if have again very fast translational speed within the scope of the fringe region being in bed simultaneously, then judge that this baby has falling hazard.
Step S304: described moving target is within the scope of the default fringe region of described hazardous location if judge, sends early warning information.
Particularly, can method step S203 in corresponding reference diagram 2 embodiment, do not repeat them here.
The embodiment of the present invention, by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, and according to the three-dimensional modeling data of this Real-time Obtaining, judge whether moving target is within the scope of the default fringe region of hazardous location, if judge, moving target is within the scope of the default fringe region of hazardous location, then send early warning information, achieve and to be monitored intelligently by 3 d modeling system and to judge the falling hazard whether foresight activity target has, and carry out timely early warning for possible falling hazard, thus effectively avoid situation of falling to occur, family is nursed more intelligent, light and convenient, improve thorough property and the security of family's nurse simultaneously.
Fig. 4 is the schematic flow sheet of another method for early warning in the embodiment of the present invention, describe in detail below in conjunction with another method for early warning in accompanying drawing 4 pairs of embodiment of the present invention, as shown in Figure 4, another method for early warning in the embodiment of the present invention can comprise the following steps S401-step S405.
Step S401: by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space.
Particularly, can method step S101 in corresponding reference diagram 1 embodiment, do not repeat them here.
Step S402: according to the three-dimensional modeling data of described Real-time Obtaining, judges whether described moving target is within the scope of the default fringe region of described hazardous location.
Particularly, can method step S102 in corresponding reference diagram 1 embodiment, do not repeat them here.
Step S403: when judging that described moving target is within the scope of the default fringe region of described hazardous location, triggers the moving direction data obtaining described moving target.
Particularly, when according to when judging in step S402 that described moving target is within the scope of the default fringe region of described hazardous location, the moving direction data obtaining moving target are triggered.As long as when namely moving target enters within the scope of the default fringe region of hazardous location, trigger immediately and calculate according to the three-dimensional modeling data of Real-time Obtaining the moving direction data judging moving target, namely judge the moving direction of moving target.
Step S404: according to described moving direction data, judges whether described moving target moves to the edge that described default fringe region scope is corresponding.
Particularly, according to the moving direction data acquired in step S403, judge whether moving target moves to the edge that default fringe region scope is corresponding.
Step S405: be if so, then judged to be that described moving target has falling hazard, sends early warning information.
Particularly, if the judged result of step S404 is yes, then be judged to be that moving target has falling hazard, namely early warning information is sent, such as, when detecting that baby has been within the scope of the fringe region of bed, then continue the direction of motion judging now baby, if judge, baby moves towards the edge direction of bed, be then judged as that this baby has falling hazard, send early warning information immediately.More specifically, can method step S203 in corresponding reference diagram 2 embodiment, do not repeat them here.
In concrete application scenarios, as shown in Figure 5 and Figure 6, Fig. 5 and Fig. 6 is an embody rule scene schematic diagram of method for early warning in the embodiment of the present invention, such as baby sleeps in bed, bed is wherein hazardous location, bed comprises default fringe region, the edge of bed and moving target baby, when being in the position in Fig. 5 as baby, namely be judged to be in safe range, when being in as baby within the scope of the default fringe region in Fig. 6, then be judged to be that now baby has falling hazard, send early warning information.Concrete implementation can adjust accordingly according to application scenarios particularly, and the present invention does not enumerate.
The embodiment of the present invention, by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, and according to the three-dimensional modeling data of this Real-time Obtaining, judge whether moving target is within the scope of the default fringe region of hazardous location, if judge, moving target is within the scope of the default fringe region of hazardous location, then send early warning information, achieve and to be monitored intelligently by 3 d modeling system and to judge the falling hazard whether foresight activity target has, and carry out timely early warning for possible falling hazard, thus effectively avoid situation of falling to occur, family is nursed more intelligent, light and convenient, improve thorough property and the security of family's nurse simultaneously.
Fig. 7 is the structural representation of a kind of prior-warning device in the embodiment of the present invention, in order to perform above-mentioned embodiment illustrated in fig. 1 in a kind of flow process of method for early warning.
Below in conjunction with accompanying drawing 7, the structure of a kind of prior-warning device in the embodiment of the present invention is described in detail.This device 10 can comprise: acquisition module 101, judge module 102 and warning module 103.
Acquisition module 101, for passing through the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, described monitoring space comprises moving target and hazardous location, and described hazardous location is the region at the object place highly exceeding predetermined threshold value;
Particularly, acquisition module 101 can perform and Method Of Accomplishment step S101 in all methods and flow process, do not repeat them here.
Judge module 102, for the three-dimensional modeling data according to described Real-time Obtaining, judges whether described moving target is within the scope of the default fringe region of described hazardous location;
Particularly, judge module 102 can perform and Method Of Accomplishment step S102 in all methods and flow process, do not repeat them here.
Warning module 103, if for judging that described moving target is within the scope of the default fringe region of described hazardous location, send early warning information.
Particularly, warning module 103 can perform and Method Of Accomplishment step S103 in all methods and flow process, do not repeat them here.
The embodiment of the present invention, by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, and according to the three-dimensional modeling data of this Real-time Obtaining, judge whether moving target is within the scope of the default fringe region of hazardous location, if judge, moving target is within the scope of the default fringe region of hazardous location, then send early warning information, achieve and to be monitored intelligently by 3 d modeling system and to judge the falling hazard whether foresight activity target has, and carry out timely early warning for possible falling hazard, thus effectively avoid situation of falling to occur, family is nursed more intelligent, light and convenient, improve thorough property and the security of family's nurse simultaneously.
Fig. 8 is the structural representation of the another kind of prior-warning device in the embodiment of the present invention, in order to perform above-mentioned embodiment illustrated in fig. 2 in the flow process of another kind of method for early warning.
Below in conjunction with accompanying drawing 8, the structure of the another kind of prior-warning device in the embodiment of the present invention is described in detail.This device 20 can comprise: acquisition module 201, determination module 202, judge module 203 and warning module 204.
Acquisition module 201, for passing through the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, described monitoring space comprises moving target and hazardous location, and described hazardous location is the region at the object place highly exceeding predetermined threshold value.
Particularly, acquisition module 201 can perform and Method Of Accomplishment step S201 in all methods and flow process, do not repeat them here.
Determination module 202, for according to the three-dimensional modeling data in the monitoring space of described Real-time Obtaining, is judged to be moving target in conjunction with preset rules by object corresponding for the three-dimensional modeling data meeting default characterization factor.
Particularly, determination module 202 can perform and Method Of Accomplishment step S202 in all methods and flow process, do not repeat them here.
Judge module 203, for the three-dimensional modeling data according to described Real-time Obtaining, judges whether described moving target is within the scope of the default fringe region of described hazardous location.
Particularly, judge module 203 can perform and Method Of Accomplishment step S203 in all methods and flow process, do not repeat them here.
Warning module 204, if for judging that described moving target is within the scope of the default fringe region of described hazardous location, send early warning information.
Particularly, warning module 204 can perform and Method Of Accomplishment step S204 in all methods and flow process, do not repeat them here.
The embodiment of the present invention, by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, and according to the three-dimensional modeling data of this Real-time Obtaining, judge whether moving target is within the scope of the default fringe region of hazardous location, if judge, moving target is within the scope of the default fringe region of hazardous location, then send early warning information, achieve and to be monitored intelligently by 3 d modeling system and to judge the falling hazard whether foresight activity target has, and carry out timely early warning for possible falling hazard, thus effectively avoid situation of falling to occur, family is nursed more intelligent, light and convenient, improve thorough property and the security of family's nurse simultaneously.
Fig. 9 is the structural representation of another prior-warning device in the embodiment of the present invention, in order to perform above-mentioned embodiment illustrated in fig. 3 in the flow process of another method for early warning.
Below in conjunction with accompanying drawing 9, the structure of another prior-warning device in the embodiment of the present invention is described in detail.This device 30 can comprise: acquisition module 301, judge module 302 and warning module 303.Described judge module 302 can comprise: the first judging unit 3021 and the second judging unit 3022.
Acquisition module 301, for passing through the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, described monitoring space comprises moving target and hazardous location, and described hazardous location is the region at the object place highly exceeding predetermined threshold value.
Particularly, acquisition module 301 can perform and Method Of Accomplishment step S301 in all methods and flow process, do not repeat them here.
Judge module 302 can comprise: the first judging unit 3021 and the first judging unit 3022.
First judging unit 3021, for the three-dimensional modeling data according to described Real-time Obtaining, judges the translational speed of described moving target.
Second judging unit 3022, for when the translational speed of described moving target exceedes predetermined threshold value, triggers and judges whether described moving target is within the scope of the default fringe region of described hazardous location.
Unit 3021 to 3022 that judge module 302 wherein in device comprises can perform and Method Of Accomplishment step S302 to S303 in all methods and flow process, do not repeat them here.
Warning module 303, if for judging that described moving target is within the scope of the default fringe region of described hazardous location, send early warning information.
Particularly, warning module 303 can perform and Method Of Accomplishment step S304 in all methods and flow process, do not repeat them here.
The embodiment of the present invention, by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, and according to the three-dimensional modeling data of this Real-time Obtaining, judge whether moving target is within the scope of the default fringe region of hazardous location, if judge, moving target is within the scope of the default fringe region of hazardous location, then send early warning information, achieve and to be monitored intelligently by 3 d modeling system and to judge the falling hazard whether foresight activity target has, and carry out timely early warning for possible falling hazard, thus effectively avoid situation of falling to occur, family is nursed more intelligent, light and convenient, improve thorough property and the security of family's nurse simultaneously.
Figure 10 is the structural representation of another prior-warning device in the embodiment of the present invention, in order to perform above-mentioned embodiment illustrated in fig. 4 in the flow process of another method for early warning.
Below in conjunction with accompanying drawing 10, the structure of another prior-warning device in the embodiment of the present invention is described in detail.This device 40 can comprise: acquisition module 401, judge module 402 and warning module 403.Described warning module 403 can comprise: acquiring unit 4031, judging unit 4032 and prewarning unit 4033.
Acquisition module 401, for passing through the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, described monitoring space comprises moving target and hazardous location, and described hazardous location is the region at the object place highly exceeding predetermined threshold value.
Particularly, acquisition module 401 can perform and Method Of Accomplishment step S401 in all methods and flow process, do not repeat them here.
Judge module 402, for the three-dimensional modeling data according to described Real-time Obtaining, judges whether described moving target is within the scope of the default fringe region of described hazardous location;
Particularly, judge module 402 can perform and Method Of Accomplishment step S402 in all methods and flow process, do not repeat them here.
Warning module 403 can comprise: acquiring unit 4031, judging unit 4032 and prewarning unit 4033.
Acquiring unit 4031, for when judging that described moving target is within the scope of the default fringe region of described hazardous location, triggers the moving direction data obtaining described moving target;
Judging unit 4032, for according to described moving direction data, judges whether described moving target moves to the edge that described default fringe region scope is corresponding;
Prewarning unit 4033, for if the determination result is YES, is then judged to be that described moving target has falling hazard, sends early warning information.
Unit 4031 to 4033 that warning module 403 wherein in device comprises can perform and Method Of Accomplishment step S403 to S405 in all methods and flow process, do not repeat them here.
The embodiment of the present invention, by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, and according to the three-dimensional modeling data of this Real-time Obtaining, judge whether moving target is within the scope of the default fringe region of hazardous location, if judge, moving target is within the scope of the default fringe region of hazardous location, then send early warning information, achieve and to be monitored intelligently by 3 d modeling system and to judge the falling hazard whether foresight activity target has, and carry out timely early warning for possible falling hazard, thus effectively avoid situation of falling to occur, family is nursed more intelligent, light and convenient, improve thorough property and the security of family's nurse simultaneously.
Figure 11 is the structural representation of a kind of Forewarning Terminal in the embodiment of the present invention, and the structure below in conjunction with a kind of Forewarning Terminal in accompanying drawing 11 pairs of embodiment of the present invention describes in detail.This terminal 50 can comprise: input media 501, output unit 502, storer 503 and processor 504 (quantity of the processor 504 in Forewarning Terminal 50 can be one or more, for a processor in Figure 11).In some embodiments of the invention, input media 501, output unit 502, storer 503 are connected by bus or alternate manner with processor 504, wherein, to be connected by bus in Figure 11.
Wherein, storer 503 is for program code stored, and processor 504 performs following steps for the program code calling the storage of this storer 503:
By the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, described monitoring space comprises moving target and hazardous location, and described hazardous location is the region at the object place highly exceeding predetermined threshold value; According to the three-dimensional modeling data of described Real-time Obtaining, judge whether described moving target is within the scope of the default fringe region of described hazardous location; If judge, described moving target is within the scope of the default fringe region of described hazardous location, sends early warning information.
Will be understood that, in Forewarning Terminal 50, the function of each functional module according to the method specific implementation in said method embodiment, can not repeat them here.Those skilled in the art can know according to above-mentioned record and how to be applied in Forewarning Terminal by said method flow process, do not repeat them here.
The embodiment of the present invention, by the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, and according to the three-dimensional modeling data of this Real-time Obtaining, judge whether moving target is within the scope of the default fringe region of hazardous location, if judge, moving target is within the scope of the default fringe region of hazardous location, then send early warning information, achieve and to be monitored intelligently by 3 d modeling system and to judge the falling hazard whether foresight activity target has, and carry out timely early warning for possible falling hazard, thus effectively avoid situation of falling to occur, family is nursed more intelligent, light and convenient, improve thorough property and the security of family's nurse simultaneously.
One of ordinary skill in the art will appreciate that all or part of flow process realized in above-described embodiment method, that the hardware that can carry out instruction relevant by computer program has come, described program can be stored in computer read/write memory medium, this program, when performing, can comprise the flow process of the embodiment as above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-OnlyMemory, ROM) or random store-memory body (RandomAccessMemory, RAM) etc.
Above disclosedly be only a kind of preferred embodiment of the present invention, certainly the interest field of the present invention can not be limited with this, one of ordinary skill in the art will appreciate that all or part of flow process realizing above-described embodiment, and according to the equivalent variations that the claims in the present invention are done, still belong to the scope that invention is contained.
Claims (11)
1. a method for early warning, is characterized in that, comprising:
By the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, described monitoring space comprises moving target and hazardous location, and described hazardous location is the region at the object place highly exceeding predetermined threshold value;
According to the three-dimensional modeling data of described Real-time Obtaining, judge whether described moving target is within the scope of the default fringe region of described hazardous location;
If judge, described moving target is within the scope of the default fringe region of described hazardous location, sends early warning information.
2. the method for claim 1, is characterized in that, the described three-dimensional modeling data according to described Real-time Obtaining, before judging within the scope of the default fringe region whether described moving target is in described hazardous location, also comprises:
According to the three-dimensional modeling data in the monitoring space of described Real-time Obtaining, in conjunction with preset rules, object corresponding for the three-dimensional modeling data meeting default characterization factor is judged to be moving target.
3. the method for claim 1, is characterized in that, the described three-dimensional modeling data according to described Real-time Obtaining, judges whether described moving target is within the scope of the default fringe region of described hazardous location, comprising:
According to the three-dimensional modeling data of described Real-time Obtaining, judge the translational speed of described moving target;
When the translational speed of described moving target exceedes predetermined threshold value, trigger and judge whether described moving target is within the scope of the default fringe region of described hazardous location.
4. the method for claim 1, is characterized in that, judges that described moving target is within the scope of the default fringe region of described hazardous location, send early warning information, comprising if described:
When judging that described moving target is within the scope of the default fringe region of described hazardous location, trigger the moving direction data obtaining described moving target;
According to described moving direction data, judge whether described moving target moves to the edge that described default fringe region scope is corresponding;
If so, be then judged to be that described moving target has falling hazard, sends early warning information.
5. the method for claim 1, is characterized in that, described in send early warning information, comprising: send early warning information with at least one alarm mode in video pictures, short message, urgent incoming call or distress call to default terminal.
6. a prior-warning device, is characterized in that, comprising:
Acquisition module, for passing through the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, described monitoring space comprises moving target and hazardous location, and described hazardous location is the region at the object place highly exceeding predetermined threshold value;
Judge module, for the three-dimensional modeling data according to described Real-time Obtaining, judges whether described moving target is within the scope of the default fringe region of described hazardous location;
Warning module, if for judging that described moving target is within the scope of the default fringe region of described hazardous location, send early warning information.
7. device as claimed in claim 6, it is characterized in that, described device, also comprises:
Determination module, for according to the three-dimensional modeling data in the monitoring space of described Real-time Obtaining, is judged to be moving target in conjunction with preset rules by object corresponding for the three-dimensional modeling data meeting default characterization factor.
8. device as claimed in claim 6, it is characterized in that, described judge module, comprising:
First judging unit, for the three-dimensional modeling data according to described Real-time Obtaining, judges the translational speed of described moving target;
Second judging unit, for when the translational speed of described moving target exceedes predetermined threshold value, triggers and judges whether described moving target is within the scope of the default fringe region of described hazardous location.
9. device as claimed in claim 6, it is characterized in that, described warning module, comprising:
Acquiring unit, for when judging that described moving target is within the scope of the default fringe region of described hazardous location, triggers the moving direction data obtaining described moving target;
Judging unit, for according to described moving direction data, judges whether described moving target moves to the edge that described default fringe region scope is corresponding;
Prewarning unit, for if the determination result is YES, is then judged to be that described moving target has falling hazard, sends early warning information.
10. device as claimed in claim 6, is characterized in that, described warning module, specifically for:
If judge, described moving target is within the scope of the default fringe region of described hazardous location, sends early warning information with at least one alarm mode in video pictures, short message, urgent incoming call or distress call to default terminal.
11. 1 kinds of Forewarning Terminals, is characterized in that, comprising: input media, output unit, storer and processor;
Wherein, described storer is used for program code stored, the program code execution following steps that described processor stores for calling described storer:
By the three-dimensional modeling data in 3 d modeling system Real-time Obtaining monitoring space, described monitoring space comprises moving target and hazardous location, and described hazardous location is the region at the object place highly exceeding predetermined threshold value; According to the three-dimensional modeling data of described Real-time Obtaining, judge whether described moving target is within the scope of the default fringe region of described hazardous location; If judge, described moving target is within the scope of the default fringe region of described hazardous location, sends early warning information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510366401.3A CN105575049B (en) | 2015-06-26 | 2015-06-26 | A kind of method for early warning, device and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510366401.3A CN105575049B (en) | 2015-06-26 | 2015-06-26 | A kind of method for early warning, device and terminal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105575049A true CN105575049A (en) | 2016-05-11 |
| CN105575049B CN105575049B (en) | 2018-05-15 |
Family
ID=55885127
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510366401.3A Active CN105575049B (en) | 2015-06-26 | 2015-06-26 | A kind of method for early warning, device and terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105575049B (en) |
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106408865A (en) * | 2016-11-03 | 2017-02-15 | 上海斐讯数据通信技术有限公司 | Early warning device, system and early warning method |
| CN106600898A (en) * | 2017-01-17 | 2017-04-26 | 腾讯数码（天津）有限公司 | Safety early warning method, device and terminal |
| CN107767621A (en) * | 2017-08-30 | 2018-03-06 | 深圳市赛亿科技开发有限公司 | It is a kind of to be used to protect the method and device that baby safety prevents it close to window |
| CN108195385A (en) * | 2017-12-29 | 2018-06-22 | 杭州后博科技有限公司 | A kind of threat identification system and method for combination geographical feature |
| CN108876822A (en) * | 2018-07-09 | 2018-11-23 | 山东大学 | A kind of behavior risk assessment method and household safety-protection nursing system |
| CN109035701A (en) * | 2018-09-17 | 2018-12-18 | 中山爱科数字科技股份有限公司 | The auto-alarm-signal keying device method of old man's security monitoring is used in a kind of family endowment |
| CN109087469A (en) * | 2018-08-17 | 2018-12-25 | 穗阳软件技术有限公司 | The system of scenic spot offer alarm prompt function |
| CN110322669A (en) * | 2018-03-31 | 2019-10-11 | 汉唐传媒股份有限公司 | A kind of method for early warning based on reality projection sports ground |
| CN110363945A (en) * | 2019-07-16 | 2019-10-22 | 捻果科技(深圳)有限公司 | Alarm system and alarm method are swarmed into a kind of forbidden zone |
| CN110428906A (en) * | 2019-07-30 | 2019-11-08 | 北京明略软件系统有限公司 | Information uploading method and device |
| CN110428582A (en) * | 2019-06-28 | 2019-11-08 | 苏州浪潮智能科技有限公司 | A kind of method and system of infantal sleeping protection |
| CN110686376A (en) * | 2019-09-18 | 2020-01-14 | 珠海格力电器股份有限公司 | Air conditioner and fan combined control method based on human body sleeping posture recognition, computer readable storage medium and air conditioner |
| CN111209778A (en) * | 2018-11-21 | 2020-05-29 | 浙江宇视科技有限公司 | Object motion recognition method, device and system |
| CN111214236A (en) * | 2020-01-14 | 2020-06-02 | 珠海格力电器股份有限公司 | Monitoring method, device, equipment and storage medium |
| CN111568224A (en) * | 2020-02-29 | 2020-08-25 | 佛山市云米电器科技有限公司 | Safe water outlet method of water dispenser, water dispenser and computer readable storage medium |
| CN111750874A (en) * | 2019-09-10 | 2020-10-09 | 广东小天才科技有限公司 | Map acquisition method, map acquisition device, electronic device, and storage medium |
| CN112037482A (en) * | 2020-08-31 | 2020-12-04 | 张建春 | Baby intelligence system of nursing at night |
| CN112216062A (en) * | 2020-09-11 | 2021-01-12 | 深圳市朗尼科智能股份有限公司 | Community security early warning method, device, computer equipment and system |
| CN112885054A (en) * | 2021-01-15 | 2021-06-01 | 广州穗能通能源科技有限责任公司 | Early warning method and device |
| CN113251558A (en) * | 2021-05-13 | 2021-08-13 | 重庆海尔空调器有限公司 | Infant anti-falling monitoring control method and device, storage medium and air conditioner |
| CN113473076A (en) * | 2020-07-21 | 2021-10-01 | 青岛海信电子产业控股股份有限公司 | Community alarm method and server |
| CN114821805A (en) * | 2022-05-18 | 2022-07-29 | 湖北大学 | Dangerous behavior early warning method, device and equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3744481B2 (en) * | 2002-08-09 | 2006-02-08 | オムロン株式会社 | Accident prevention system |
| CN101432780A (en) * | 2006-09-04 | 2009-05-13 | 松下电器产业株式会社 | Danger judging device, danger judging method, danger reporting device, and danger judging program |
| CN101937604A (en) * | 2010-09-08 | 2011-01-05 | 无锡中星微电子有限公司 | Sleep monitoring system based on human body detection and method thereof |
| CN102074095A (en) * | 2010-11-09 | 2011-05-25 | 无锡中星微电子有限公司 | System and method for monitoring infant behaviors |
| WO2014199941A1 (en) * | 2013-06-10 | 2014-12-18 | Ｎｋワークス株式会社 | Information processing device, information processing method, and program |
| WO2014208245A1 (en) * | 2013-06-28 | 2014-12-31 | 住友理工株式会社 | Bed-leaving sensor and bed-leaving detection method |
| CN104586401A (en) * | 2015-01-19 | 2015-05-06 | 赵树乔 | Method for tracking gesture of human body |
-
2015
- 2015-06-26 CN CN201510366401.3A patent/CN105575049B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3744481B2 (en) * | 2002-08-09 | 2006-02-08 | オムロン株式会社 | Accident prevention system |
| CN101432780A (en) * | 2006-09-04 | 2009-05-13 | 松下电器产业株式会社 | Danger judging device, danger judging method, danger reporting device, and danger judging program |
| CN101937604A (en) * | 2010-09-08 | 2011-01-05 | 无锡中星微电子有限公司 | Sleep monitoring system based on human body detection and method thereof |
| CN102074095A (en) * | 2010-11-09 | 2011-05-25 | 无锡中星微电子有限公司 | System and method for monitoring infant behaviors |
| WO2014199941A1 (en) * | 2013-06-10 | 2014-12-18 | Ｎｋワークス株式会社 | Information processing device, information processing method, and program |
| WO2014208245A1 (en) * | 2013-06-28 | 2014-12-31 | 住友理工株式会社 | Bed-leaving sensor and bed-leaving detection method |
| CN104586401A (en) * | 2015-01-19 | 2015-05-06 | 赵树乔 | Method for tracking gesture of human body |
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106408865A (en) * | 2016-11-03 | 2017-02-15 | 上海斐讯数据通信技术有限公司 | Early warning device, system and early warning method |
| CN106600898A (en) * | 2017-01-17 | 2017-04-26 | 腾讯数码（天津）有限公司 | Safety early warning method, device and terminal |
| CN107767621A (en) * | 2017-08-30 | 2018-03-06 | 深圳市赛亿科技开发有限公司 | It is a kind of to be used to protect the method and device that baby safety prevents it close to window |
| CN108195385A (en) * | 2017-12-29 | 2018-06-22 | 杭州后博科技有限公司 | A kind of threat identification system and method for combination geographical feature |
| CN110322669A (en) * | 2018-03-31 | 2019-10-11 | 汉唐传媒股份有限公司 | A kind of method for early warning based on reality projection sports ground |
| CN110322669B (en) * | 2018-03-31 | 2022-01-04 | 汉唐传媒股份有限公司 | Early warning method based on reality projection game field |
| CN108876822A (en) * | 2018-07-09 | 2018-11-23 | 山东大学 | A kind of behavior risk assessment method and household safety-protection nursing system |
| CN109087469A (en) * | 2018-08-17 | 2018-12-25 | 穗阳软件技术有限公司 | The system of scenic spot offer alarm prompt function |
| CN109035701A (en) * | 2018-09-17 | 2018-12-18 | 中山爱科数字科技股份有限公司 | The auto-alarm-signal keying device method of old man's security monitoring is used in a kind of family endowment |
| CN111209778A (en) * | 2018-11-21 | 2020-05-29 | 浙江宇视科技有限公司 | Object motion recognition method, device and system |
| CN110428582A (en) * | 2019-06-28 | 2019-11-08 | 苏州浪潮智能科技有限公司 | A kind of method and system of infantal sleeping protection |
| CN110363945A (en) * | 2019-07-16 | 2019-10-22 | 捻果科技(深圳)有限公司 | Alarm system and alarm method are swarmed into a kind of forbidden zone |
| CN110428906A (en) * | 2019-07-30 | 2019-11-08 | 北京明略软件系统有限公司 | Information uploading method and device |
| CN111750874A (en) * | 2019-09-10 | 2020-10-09 | 广东小天才科技有限公司 | Map acquisition method, map acquisition device, electronic device, and storage medium |
| CN110686376A (en) * | 2019-09-18 | 2020-01-14 | 珠海格力电器股份有限公司 | Air conditioner and fan combined control method based on human body sleeping posture recognition, computer readable storage medium and air conditioner |
| CN111214236A (en) * | 2020-01-14 | 2020-06-02 | 珠海格力电器股份有限公司 | Monitoring method, device, equipment and storage medium |
| CN111568224A (en) * | 2020-02-29 | 2020-08-25 | 佛山市云米电器科技有限公司 | Safe water outlet method of water dispenser, water dispenser and computer readable storage medium |
| CN113473076A (en) * | 2020-07-21 | 2021-10-01 | 青岛海信电子产业控股股份有限公司 | Community alarm method and server |
| CN113473076B (en) * | 2020-07-21 | 2023-03-14 | 青岛海信电子产业控股股份有限公司 | Community alarm method and server |
| CN112037482A (en) * | 2020-08-31 | 2020-12-04 | 张建春 | Baby intelligence system of nursing at night |
| CN112216062A (en) * | 2020-09-11 | 2021-01-12 | 深圳市朗尼科智能股份有限公司 | Community security early warning method, device, computer equipment and system |
| CN112885054A (en) * | 2021-01-15 | 2021-06-01 | 广州穗能通能源科技有限责任公司 | Early warning method and device |
| CN113251558A (en) * | 2021-05-13 | 2021-08-13 | 重庆海尔空调器有限公司 | Infant anti-falling monitoring control method and device, storage medium and air conditioner |
| CN114821805A (en) * | 2022-05-18 | 2022-07-29 | 湖北大学 | Dangerous behavior early warning method, device and equipment |
| CN114821805B (en) * | 2022-05-18 | 2023-07-18 | 湖北大学 | Dangerous behavior early warning method, dangerous behavior early warning device and dangerous behavior early warning equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105575049B (en) | 2018-05-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105575049A (en) | Early warning method, device and terminal | |
| CN106652346A (en) | Home-based care monitoring system for old people | |
| CN109887238B (en) | Tumble detection system and detection alarm method based on vision and artificial intelligence | |
| CN104680525A (en) | Automatic human body fall-down detection method based on Kinect depth image | |
| WO2015133195A1 (en) | Information processing device, information processing method, and program | |
| CN202421817U (en) | IOT (Internet of Things) wireless intelligent baby monitoring device | |
| CN105389943B (en) | Prevent the safety device, safety monitoring system and method fallen | |
| CN110244572A (en) | Robot and its control method, intelligent home control system | |
| CN108614989A (en) | A kind of old man's intelligent monitor method, system and medium based on WiFi | |
| CN104581082A (en) | Home monitoring system and home monitoring method | |
| JP6720909B2 (en) | Action detection device, method and program, and monitored person monitoring device | |
| CN109587637B (en) | Information prompting method and device, electronic equipment and storage medium | |
| CN106510720A (en) | Method and device for prompting user state | |
| Fung et al. | Elderly fall detection and location tracking system using heterogeneous wireless networks | |
| CN102495577A (en) | Wireless intelligent infant monitoring device based on internet of things | |
| CN107582024A (en) | Dormant monitoring method, device and terminal | |
| CN110650243B (en) | Alarm method, alarm device, storage medium and terminal | |
| CN103646503A (en) | Nursing system | |
| CN106778375A (en) | A kind of mobile device vibrations anti-fall method, device and mobile device | |
| JPWO2017081995A1 (en) | Monitored person monitoring apparatus and method, and monitored person monitoring system | |
| CN113361469A (en) | Method, device and equipment for identifying coverage state and storage medium | |
| CN104332022A (en) | Warning system and warning method for preventing infant from eating foreign matter | |
| CN113438457B (en) | Home monitoring method and home monitoring system for improving warning accuracy | |
| CN109859447A (en) | Method, controller and the system of security protection in a kind of construction site | |
| CN205177033U (en) | Anti -theft alarm system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |