CN203733261U - Anti-suicide notification system - Google Patents
Anti-suicide notification system Download PDFInfo
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- CN203733261U CN203733261U CN201420097937.0U CN201420097937U CN203733261U CN 203733261 U CN203733261 U CN 203733261U CN 201420097937 U CN201420097937 U CN 201420097937U CN 203733261 U CN203733261 U CN 203733261U
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Abstract
The utility model discloses an anti-suicide notification system which comprises an imaging device, an image detection and control unit, and a notification device. The imaging device is installed in a place where a tested person is located, and the imaging device can carry out continuous imaging on any position in the place and transmit a signal to the image detection and control unit. The image detection and control unit can analyze the image signal transmitted by the imaging device and compare the image signal with a place feature vector and at least one human body image feature vector which are pre-stored in a memory of the image detection and control unit. The image detection and control unit causes the notification device to issue a notification. The anti-suicide notification system of the utility model can prevent the occurrence of suicides in advance, reduce the error rate of suicide notification and strengthen the reliability of suicide notification by the warning platform.
Description
Technical field
The utility model relates to a reporting chain, particularly a kind of anti-suicide reporting chain.
Background technology
Suicide is high especially at dead proportion, suicide is difficult to prevention at present, can only take passive mode to carry out remedial measures, be not to detect and prevent with active mode, common preventive measure is RFID mode, and it comprises: a RF identification label 10, and the people of probable suicide (sufferer) wears label, the content of this label is recorded the people's of probable suicide related data, such as: age, name, diagnostic-type and the patient's condition etc.; In order to follow the trail of the place 11 at the people place of committing suiside, and by passive type, infer the possibility of committing suiside according to place 11 and related data, whether this kind of mode cannot initiatively be detected is suicide, this RFID mode belongs to prior art (prior art), its principle does not repeat herein, in the prior art (Prior Art), the problem points that ubiquity is following:
First: because the people who the commits suiside RFID that 11 behavior pattern cannot see through in place learns, so the people who commits suiside is in place, 11 behavior pattern cannot determine whether suicide, only can infer that suicide carries out remedial measures and reduces hazard level, there is no method obviate;
Second: due to suicide, be by inferring but not judge, the error rate that causes circulating a notice of suicide is very high, not only the processing of suicide is had no to help, and has also reduced the degree of reliability of monitor (supervisor) to circular suicide.
Utility model content
In order to overcome above-mentioned defect, the utility model provides a kind of anti-suicide reporting chain, and this anti-suicide reporting chain is simple in structure, can prevent suicide, and the degree of reliability is high.
The utility model for the technical scheme that solves its technical matters and adopt is: a kind of anti-suicide reporting chain, it is characterized in that: comprise imaging device, image detecting and control module and aviso device, this imaging device is installed in place, detected personnel place, this imaging device can continue imaging and be messaging in image detecting and control module optional position in this place, the signal of video signal that described image detecting and control module can send imaging device is analyzed, and with its internal memory in pre-stored at least one body image proper vector of feature of place vector sum compare, image detecting and control module are controlled aviso device and are sent circular, this imaging device can constantly capture and monitor that image is sent to image detecting and control module, make before this image detecting and control module systematic analysis, the difference of rear image, and before calculating, the vector of rear image, judged whether mobile object, and the body image in this mobile object and internal memory is compared, judge whether this mobile object is people, according to this mobile object continuous moving direction, change to judge behavior pattern again, it is downward rapidly that behavior pattern can be neck, commit suiside and be intended to, move outdated or on door limit, stop to surpass setting-up time one of them, concrete judgment mode is as follows: the proper vector in window (door) place and the proper vector of body image are by the default time-varying model of this moving picture, the proper vector that can detect this body image produces the change of distance of speed to the proper vector in this window (door) place, and then the rapid downward behavior pattern of judgement neck, the proper vector in window (door) place and the proper vector of this body image are by this default time-varying model of moving picture and spatial model, this spatial model is set skeleton ratio of long axis to short axis and the skeleton major and minor axis angle value of this body image, and with this time-varying model, set the transformation period of skeleton ratio of long axis to short axis and skeleton major and minor axis angle value, the proper vector that can detect this body image changes the skeleton length of the proper vector generation time in this window (door) place, and then the behavior pattern of judgement suicide intention, the proper vector in window (door) place and the proper vector of this body image are by the default spatial model of this moving picture, the proper vector that can detect this body image produces the surface of contact of interfering to the proper vector in this window (door) place and changes, and then judges that this action is for out of season behavior pattern, the proper vector in window (door) place and the proper vector of this body image are by this default time-varying model of moving picture and spatial model, this spatial model set the proper vector of this body image at the initial parameters of the proper vector in this window (door) place, motion track to stopping parameter, and set initial parameters, motion track to the transformation period that stops parameter with this time-varying model, the proper vector that can detect this body image changes the motion track of the proper vector generation time in this window (door) place, and then judgement stops the behavior pattern that surpasses setting-up time on door limit, if this people is monitor, remove warning, make aviso device not start, if the people that this people commits suiside, enter warning, further the abnormal operation of this body image is judged, if the action of this body image meets the behavior pattern that this internal memory sets in advance, start this aviso device, send immediately circular signal, circulate a notice of its suicide, the utility model is for anti-suicide reporting chain, also can utilize this body image to carry out intelligent decision suicide to the behavior pattern in this window (door) place, not only having obviate suicide occurs, also can reduce the error rate of circular suicide, and can strengthen this alarm platform and circulate a notice of the suicide degree of reliability.
As further improvement of the utility model, described imaging device is installed on the top in place, detected personnel place.
As further improvement of the utility model, described imaging device is video camera, this video camera continues to shoot with video-corder the supervision image within place, and this supervision image is comprised of several continuous pictures, and image detecting and control module are dynamic image detecting and control module.
As further improvement of the utility model, the detecting of described dynamic image and control module are a kind of in processor and computing machine.
As further improvement of the utility model, described aviso device is by a kind of circular signal that sends in cable, radio signals, cable network, wireless network and bluetooth signal.
As further improvement of the utility model, also comprise an alarm platform, this alarm platform system is received the circular signal that this aviso device sends and is given the alarm by the Internet or LAN.
The beneficial effects of the utility model are: the utility model carries out real time imagery by imaging device to the people of probable suicide and place, place thereof, and by image detecting and control module, at least one body image proper vector of feature of place vector sum of storing in advance in impact and its internal memory is compared, finally by aviso device, send suicide alarm signal, in case commit suiside, also can utilize this body image to carry out intelligent decision suicide to the behavior pattern in this window (door) place, not only having obviate suicide occurs, also can reduce the error rate of circular suicide, and can strengthen this alarm platform and circulate a notice of the suicide degree of reliability.
Accompanying drawing explanation
Fig. 1 is existing RFID technology schematic diagram;
Fig. 2 is structural principle schematic diagram of the present utility model;
Fig. 3 is the schematic diagram that the utility model monitors image;
Fig. 4 is process flow diagram of the present utility model;
Fig. 5 is that the utility model is differentiated the neck schematic diagram of downward behavior pattern rapidly;
Fig. 6 is the schematic diagram that the utility model is differentiated the first behavior pattern of the intention of whether committing suiside;
Fig. 7 is the schematic diagram that the utility model is differentiated the second behavior pattern of the intention of whether committing suiside;
Fig. 8 is the schematic diagram that the utility model is differentiated the out of season the second behavior pattern of action;
Fig. 9 is the schematic diagram that the utility model is differentiated the out of season the first behavior pattern of action;
Figure 10 be the utility model differentiate window (door) limit stop over setting-up time capable be the schematic diagram of pattern.
Embodiment
Embodiment: a kind of anti-suicide reporting chain, comprises:
One video camera 20, this video camera 20 is installed on the top in a window (door) place 30, and continues to shoot with video-corder the supervision image 40 in this place, and this supervision image 40 is comprised of several continuous pictures 41;
One dynamic image detecting and control module 50, this dynamic image detecting and control module 50 are obtained this supervision image 40 by this video camera 20, and store in advance the proper vector in this window (door) place and the proper vector of at least one body image in the internal memory 51 of dynamic image detecting and control module 50, this dynamic image detecting and control module 50 are by the difference between the continuous picture 41 of analysis these several, detect the moving picture in this supervision image 40, and corresponding with the proper vector in window (door) place and the proper vector of body image of this internal memory 51, then, via the variation producing between the calculation proper vector in this window (door) place and the proper vector of this body image, and judge people's behavior pattern, and aforementioned proper vector can be object size, skeleton, direction, texture, color, the object factory mode that geometric configuration etc. are common, also can be the mean flow rate of image, colourity etc., in the present embodiment, the detecting of this dynamic image and control module 50 can be a kind of in processor and computing machine, further, this video camera 20 is by a kind of the delivering a letter in following manner with this dynamic image detecting and control module 50: electrical couplings, comprise: cable, radio signals, cable network, wireless network and bluetooth signal,
One aviso device 52, it is electrically coupled to dynamic image detecting and control module 50, be used for sending circular, in the present embodiment, this aviso device is to send circular signal by following manner: a kind of in cable, radio signals, cable network, wireless network and bluetooth signal.
The utility model also comprises an alarm platform 70, this alarm platform 70 is to receive by a Internet 60 or LAN 60A the circular signal that this aviso device 52 sends, in the present embodiment, this alarm platform 70 comprises: a server is electrically connected a display unit and warning unit, this circular signal by this Internet 60 or LAN 60A to this server, make this warning unit report monitoring people that suicide will occur, and can see the people of suicide at display unit, but not as limit.
Process flow diagram as shown in Figure 4, this video camera 20 can constantly capture and monitor image 40 and send dynamic image detecting and control module 50 to, before this dynamic image detecting and control module 50 systematic analyses, the difference of rear image, and before calculating, the vector of rear image, judged whether mobile object, and the body image in this mobile object and internal memory 51 is compared, be used for judging whether this mobile object is people, according to this mobile object continuous moving direction, change to judge behavior pattern again, if this people is monitor, remove warning, make this aviso device 52 not start, if the people that this people commits suiside enters warning, further the abnormal operation of this body image is judged, if the action of this body image meets the behavior pattern that this internal memory 51 sets in advance, start this aviso device 52, send immediately circular signal, in order to do to circulate a notice of its suicide, thus, enter after warning, whether the behavior pattern of further differentiating people is that neck is downward rapidly, commit suiside and be intended to, move outdated or on door limit, stop to surpass a kind of in setting-up time.
A kind of feasible embodiment is, the proper vector in this window (door) place and the proper vector of this body image are by the default time-varying model of this moving picture, the proper vector that can detect this body image produces the change of distance of speed to the proper vector in this window (door) place, and then the rapid downward behavior pattern of judgement neck, as shown in Figure 5, this window (door) place 30 has a Space, Place 31, and lock the proper vector of this Space, Place, when showing the first distance D 1 by arbitrary height, this body image is reduced to rapidly second distance D2, also can differentiate the people for committing suiside, for example: hang ourselves pattern, set up neck downward behavior pattern rapidly.
The second possible embodiments is, the proper vector in this window (door) place and the proper vector of this body image are by this default time-varying model of moving picture and spatial model, this spatial model is set skeleton ratio of long axis to short axis and the skeleton major and minor axis angle value of this body image, and with this time-varying model, set the transformation period of skeleton ratio of long axis to short axis and skeleton major and minor axis angle value, the proper vector that can detect this body image changes the skeleton length of the proper vector generation time in this window (door) place, and then the behavior pattern of judgement suicide intention, as shown in Figure 6, this body image is hung towel R this window (door) place 30 people, also can differentiate the people for committing suiside, for example: hang ourselves pattern, as shown in Figure 7, this body image carries out at this window (door) 30 jumps out preparation, also can differentiate the people for suicide, for example: the pattern of leaping to one's own death, all produce skeleton ratio of long axis to short axis L1/L2 and skeleton major and minor axis angle value θ in the variation in this window (door) place 30, set up the behavior pattern of the intention of committing suiside.
The third possible embodiments is, the proper vector in this window (door) place and the proper vector of this body image are by the default spatial model of this moving picture, the proper vector that can detect this body image produces the surface of contact of interfering to the proper vector in this window (door) place and changes, and the out of season behavior pattern of judgement action, as shown in Figure 8, this window (door) place 30 has a window (door) 32, and lock the proper vector of this window (door), this body image contacts this window (door) 32, also can differentiate the people for committing suiside, for example: the pattern of leaping to one's own death, as shown in Figure 9, this window (door) place 30 has a ground 33, and the proper vector on this ground of lockable, when this body image is poured on this ground 33, produces and contact interference surface P, also can differentiate the people for committing suiside, for example: open gas and commit suiside, set up the out of season behavior pattern of action.
The 4th kind of possible embodiments is, the proper vector in this window (door) place and the proper vector of this body image are by this default time-varying model of moving picture and spatial model, this spatial model is set the proper vector of this body image in the initial parameters of the proper vector in this window (door) place, motion track is to stopping parameter, and set initial parameters with this time-varying model, motion track is to the transformation period that stops parameter, the proper vector that can detect this body image changes the motion track of the proper vector generation time in this window (door) place, and then judgement stops the behavior pattern that surpasses setting-up time on door limit, as shown in figure 10, the proper vector on this ground is at least provided with a starting point 331, motion track 332 and stop 333 path, when this body image shows, the set predefined paths in this ground 33 is surpassed to the residence time, also can differentiate the people for committing suiside, for example: melancholy, uneasy hovering and may hanging oneself, jump out of the building or open gas and commit suiside, set up door limit and stop the behavior pattern that surpasses setting-up time.
Therefore, the objective behavior pattern of this body image to this window (door) place, not only can judge suicide, and can overlapping different behavior patterns strengthen the degree of reliability of circulating a notice of suicide, also can make the definite people's who commits suiside of monitor suicide pattern take different rescue strategies.
Above-mentioned disclosed diagram, explanation are only preferred embodiment of the present utility model.
Claims (6)
1. an anti-suicide reporting chain, it is characterized in that: comprise imaging device, image detecting and control module and aviso device, this imaging device is installed in place, detected personnel place, this imaging device can continue imaging and be messaging in image detecting and control module optional position in this place, the signal of video signal that described image detecting and control module can send imaging device is analyzed, and with its internal memory in pre-stored at least one body image proper vector of feature of place vector sum compare, image detecting and control module are controlled aviso device and are sent circular.
2. anti-suicide reporting chain according to claim 1, is characterized in that: described imaging device is installed on the top in place, detected personnel place.
3. anti-suicide reporting chain according to claim 1, it is characterized in that: described imaging device is video camera, this video camera continues to shoot with video-corder the supervision image within place, this supervision image is comprised of several continuous pictures, and image detecting and control module are dynamic image detecting and control module.
4. anti-suicide reporting chain according to claim 3, is characterized in that: described dynamic image detecting and control module are a kind of in processor and computing machine.
5. anti-suicide reporting chain according to claim 1, is characterized in that: described aviso device is by a kind of circular signal that sends in cable, radio signals, cable network, wireless network and bluetooth signal.
6. anti-suicide reporting chain according to claim 5, is characterized in that: also comprise an alarm platform, this alarm platform system is received the circular signal that this aviso device sends and given the alarm by the Internet or LAN.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420097937.0U CN203733261U (en) | 2014-03-05 | 2014-03-05 | Anti-suicide notification system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420097937.0U CN203733261U (en) | 2014-03-05 | 2014-03-05 | Anti-suicide notification system |
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| Publication Number | Publication Date |
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| CN203733261U true CN203733261U (en) | 2014-07-23 |
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ID=51203314
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201420097937.0U Expired - Fee Related CN203733261U (en) | 2014-03-05 | 2014-03-05 | Anti-suicide notification system |
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| CN (1) | CN203733261U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104900004A (en) * | 2014-03-05 | 2015-09-09 | 昆山毅达科技电子有限公司 | Anti-suicide notification system |
| CN110458015A (en) * | 2019-07-05 | 2019-11-15 | 平安科技（深圳）有限公司 | Anti- suicide method for early warning, device, equipment and storage medium based on image recognition |
| CN111698458A (en) * | 2019-03-12 | 2020-09-22 | 纬创资通股份有限公司 | Monitoring system and monitoring method thereof |
-
2014
- 2014-03-05 CN CN201420097937.0U patent/CN203733261U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104900004A (en) * | 2014-03-05 | 2015-09-09 | 昆山毅达科技电子有限公司 | Anti-suicide notification system |
| CN111698458A (en) * | 2019-03-12 | 2020-09-22 | 纬创资通股份有限公司 | Monitoring system and monitoring method thereof |
| CN110458015A (en) * | 2019-07-05 | 2019-11-15 | 平安科技（深圳）有限公司 | Anti- suicide method for early warning, device, equipment and storage medium based on image recognition |
| CN110458015B (en) * | 2019-07-05 | 2024-05-03 | 平安科技（深圳）有限公司 | Suicide prevention early warning method, device, equipment and storage medium based on image recognition |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140723 Termination date: 20190305 |