CN110675595A - Fall detection system based on vision and artificial intelligence - Google Patents
Fall detection system based on vision and artificial intelligence Download PDFInfo
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- CN110675595A CN110675595A CN201910846270.7A CN201910846270A CN110675595A CN 110675595 A CN110675595 A CN 110675595A CN 201910846270 A CN201910846270 A CN 201910846270A CN 110675595 A CN110675595 A CN 110675595A
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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
- G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
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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
- G08B21/0446—Sensor means for detecting worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
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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
- G08B21/0453—Sensor means for detecting worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing
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Abstract
The invention discloses a tumble detection system based on vision and artificial intelligence, which comprises a central processing unit, wherein the central processing unit is in bidirectional connection with a camera through a wire, the output end of the central processing unit is electrically connected with the input end of an alarm through a wire, the input end of the central processing unit is connected with the output end of an intelligent bracelet through wireless, and the input end of the central processing unit is electrically connected with the output end of a feedback module through a wire. According to the falling detection system based on vision and artificial intelligence, whether the falling is judged by calculating the distance between the human body joint node and the horizontal ground and the physical condition of the monitored personnel is combined, so that the judgment result is more accurate, the reliability of the system is improved, all body indexes of the personnel falling can be sent to a medical institution, instruments and equipment which are required to be carried by medical personnel during rescue can be conveniently judged by the medical personnel, and the rescue time is saved.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring, in particular to a tumble detection system based on vision and artificial intelligence.
Background
The intelligent monitoring is in an embedded video server, integrates an intelligent behavior recognition algorithm, can recognize and judge the behaviors of pedestrians or vehicles in a picture scene, generates an alarm under a proper condition to prompt a user, can distinguish the type and the behavior of a moving object, such as a car, a motorcycle, a person, an airplane and the like, and can judge whether the moving object walks, falls, has a speed or the like, which is the basis of other recognition; after the moving object is identified, the track of the moving object passing through the place can be drawn behind the moving element; abnormal behaviors of people or vehicles, sudden running, falling, chasing and the like can be found in time, and the system can find and remind a manager in time; the video monitoring is to monitor, record and backtrack the video image by acquiring the video image information of the monitored target, and manually or automatically make corresponding actions according to the video image information to achieve the monitoring, control, safety precaution and intelligent management of the monitored target, and the video monitoring is widely applied to a plurality of public occasions such as military affairs, customs, public security, fire protection, forestry, dams, airports, railways, ports, urban traffic and the like, and is gradually popularized to the application of family safety precaution and entertainment along with the improvement of the technology and the reduction of the cost.
Along with the aggravation of the aging of society, young people have more and more no time to accompany at the old man, to some older old people, it is more and more important to the real time monitoring of its personal safety, consequently the detection system that tumbles has appeared, but current detection system that tumbles generally only judges whether it tumbles according to the individual data of monitoring the person, and the testing result is inaccurate, and medical personnel can't know in time the positional information and the health condition of the personnel that tumbles, required equipment or instrument when unable accurate judgement rescue, waste a large amount of rescue time, make the time that the personnel that tumbles be in danger lengthen, reduced detection system's practicality.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a tumble detection system based on vision and artificial intelligence, which solves the problems that the detection result is inaccurate, medical personnel cannot accurately judge equipment or instruments required during rescue, a large amount of rescue time is wasted, the time of the tumble personnel in danger is prolonged, and the practicability of the detection system is reduced.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides a fall detection system based on vision and artificial intelligence, includes central processing unit, central processing unit passes through the wire and realizes both way junction with the camera to central processing unit's output passes through the input electric connection of wire and alarm, central processing unit's input is connected through the wireless output with intelligent bracelet, central processing unit's input passes through the output electric connection of wire and feedback module to feedback module's input passes through the output electric connection of wire and feature recognition module, central processing unit's input passes through the wire and removes the output electric connection of judgment module with the node to central processing unit's input passes through the output electric connection of wire and orientation module, central processing unit realizes both way junction through wireless and medical distress module.
Preferably, the input end of the feature recognition module is electrically connected with the output end of the video acquisition module through a wire, the central processing unit is connected with the storage module in a bidirectional mode through a wire, and the output end of the storage module is electrically connected with the input end of the video acquisition module through a wire.
Preferably, the feature recognition module comprises a node capture module and a horizontal ground capture module, and an output end of the node capture module is electrically connected with an input end of the distance calculation module through a wire.
Preferably, the output end of the horizontal ground capture module is electrically connected with the input end of the distance calculation module through a wire, and the output end of the distance calculation module is electrically connected with the input end of the difference comparison module through a wire.
Preferably, the central processing unit is in bidirectional connection with the wireless signal transceiver module through a wire, and the wireless signal transceiver module is in bidirectional connection with the mobile terminal wirelessly.
Preferably, the medical help-seeking module comprises a position information sending module, and the output end of the position information sending module is connected with the input end of the intelligent terminal of the medical institution through wireless.
Preferably, the output end of the intelligent terminal of the medical institution is electrically connected with the input end of the video calling module through a lead.
Preferably, the intelligent bracelet comprises a heart rate monitoring module, a respiration monitoring module, a body temperature monitoring module and a monitoring result judging module.
(III) advantageous effects
The invention provides a tumble detection system based on vision and artificial intelligence. Compared with the prior art, the method has the following beneficial effects:
(1) the fall detection system based on vision and artificial intelligence is connected with the output end of the intelligent bracelet through the input end of the central processing unit in a wireless way, the input end of the central processing unit is electrically connected with the output end of the feedback module through a lead, the input end of the feedback module is electrically connected with the output end of the characteristic identification module through a lead, the input end of the central processing unit is electrically connected with the output end of the node movement judgment module through a lead, the characteristic identification module comprises a node capture module and a horizontal ground capture module, the output end of the node capture module is electrically connected with the input end of the distance calculation module through a lead, the system calculates the distance between the joint node of the human body and the horizontal ground, and whether the monitored person falls down is judged according to the physical condition of the monitored person, and the two judgment methods are combined, so that the judgment result is more accurate, and the reliability of the system is improved.
(2) This fall detection system based on vision and artificial intelligence, the input through central processing unit passes through wire and orientation module's output electric connection, central processing unit realizes both way junction through wireless and medical distress module, medical distress module includes positional information sending module, intelligent bracelet includes rhythm of the heart monitoring module, breathe monitoring module, body temperature monitoring module and monitoring result judge module, the system can send the medical institution with each health index of falling personnel, instrument and equipment that need carry when making things convenient for medical personnel to judge the rescue, save the rescue time, the practicality of system has been improved.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is a schematic block diagram of the structure of the feature recognition module of the present invention;
FIG. 3 is a schematic block diagram of the medical distress module according to the present invention;
fig. 4 is a schematic block diagram of the structure of the smart bracelet of the present invention.
In the figure, 1 central processing unit, 2 cameras, 3 alarms, 4 intelligent bracelets, 41 heart rate monitoring module, 42 breathing monitoring module, 43 body temperature monitoring module, 44 monitoring result judging module, 5 feedback modules, 6 characteristic identification modules, 61 node capture module, 62 level ground capture module, 63 distance calculation module, 64 difference contrast module, 7 node movement judging module, 8 orientation module, 9 medical distress module, 91 position information sending module, 92 medical institution intelligent terminal, 93 video retrieval module, 10 video acquisition module, 11 storage module, 12 wireless signal transceiver module, 13 mobile terminal.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, an embodiment of the present invention provides a technical solution: a tumble detection system based on vision and artificial intelligence comprises a central processing unit 1, wherein the central processing unit 1 is in bidirectional connection with a wireless signal transceiver module 12 through a lead, the wireless signal transceiver module 12 is in bidirectional connection with a mobile terminal 13 wirelessly, the central processing unit 1 is in bidirectional connection with a camera 2 through a lead, the output end of the central processing unit 1 is electrically connected with the input end of an alarm 3 through a lead, the alarm 3 can remind a guardian to check the condition in time, the input end of the central processing unit 1 is connected with the output end of an intelligent bracelet 4 through a wireless way, the intelligent bracelet 4 comprises a heart rate monitoring module 41, a respiration monitoring module 42, a body temperature monitoring module 43 and a monitoring result judging module 44, and the monitoring result judging module 44 can judge whether the monitored heart rate, respiration and heartbeat data are in a normal range or not, the input end of the central processing unit 1 is electrically connected with the output end of the feedback module 5 through a lead, the input end of the feedback module 5 is electrically connected with the output end of the characteristic recognition module 6 through a lead, the characteristic recognition module 6 comprises a node capture module 61 and a horizontal ground capture module 62, the node capture module 61 can capture each joint node of the head, shoulder, elbow, waist, knee and the like of a monitored person, the horizontal ground capture module 62 can capture the horizontal ground where the monitored person is located, the output end of the horizontal ground capture module 62 is electrically connected with the input end of the distance calculation module 63 through a lead, the distance calculation module 63 can calculate the vertical distance between each joint node of the human body and the horizontal ground, the output end of the distance calculation module 63 is electrically connected with the input end of the difference comparison module 64 through a lead, and the difference comparison module 64 can compare the calculated data with normal data, so as to judge whether the distance is normal, the output end of the node capture module 61 is electrically connected with the input end of the distance calculation module 63 through a wire, the input end of the characteristic identification module 6 is electrically connected with the output end of the video acquisition module 10 through a wire, the central processing unit 1 is bidirectionally connected with the storage module 11 through a wire, the output end of the storage module 11 is electrically connected with the input end of the video acquisition module 10 through a wire, the input end of the central processing unit 1 is electrically connected with the output end of the node movement judgment module 7 through a wire, the input end of the central processing unit 1 is electrically connected with the output end of the positioning module 8 through a wire, the central processing unit 1 is bidirectionally connected with the medical help-seeking module 9 through wireless, the medical help-seeking module 9 comprises a position information sending module 91, and the position information sending module 91 can send the position information of the positioning module 8 to the, so that medical personnel in time arrive to position information sending module 91's output is connected with medical institution intelligent terminal 92's input through wireless, and medical institution intelligent terminal 92's output passes through the wire and transfers the input electric connection of module 93 with the video, and medical personnel can transfer the module 93 through the video and transfer and get the real time monitoring picture, so that in time know the personnel's of tumbleing specific information.
When the intelligent wrist strap monitoring device works, the central processing unit 1 controls the camera 2 to monitor in real time, meanwhile, monitoring pictures are stored in the storage module 11, a monitored person wears the intelligent wrist strap 4, the intelligent wrist strap 4 constantly monitors the body conditions of the heart rate, respiration, heartbeat and the like of the wearer, once the monitoring result judging module 44 finds that any numerical value is out of a normal numerical value range, the intelligent wrist strap 4 transmits information to the central processing unit 1, the video acquisition module 10 collects video information in the storage module 11 and transmits the video information to the characteristic identification module 6, the node capture module 61 works with the horizontal ground capture module 62 to capture a joint node and the horizontal ground, a difference value between the two is calculated through the distance calculation module 63, the calculation result is transmitted to the difference value comparison module 64, the difference value comparison module 64 compares the calculated numerical value with a lowest value, when the calculated numerical value is smaller than the lowest value, the feature recognition module 6 transmits the result to the central processing unit 1 through the feedback module 5, the central processing unit 1 transmits the signal to the mobile terminal 13 held by the guardian through the wireless signal transceiving module 12, the guardian can call the monitoring video to check the specific situation of the monitored person, if the monitored person falls and cannot get up by himself, the guardian can control the central processing unit 1 to send a signal to the medical help-seeking module 9 through the mobile terminal 13, the position information sending module 91 in the medical help-seeking module 9 transmits the position information to the intelligent terminal 92 of the medical institution, the medical staff can call the real-time monitoring picture through the video calling module 93 so as to know the specific information of the fallen person in time, when the node movement judging module 7 detects that the node is not moving, the signal is transmitted to the central processing unit 1 and then transmitted to the mobile terminal 13 through the wireless signal transceiving module 12, the guardian can judge the specific situation of the monitored person through the detection result and the monitoring video of the intelligent bracelet 4.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a fall detection system based on vision and artificial intelligence, includes central processing unit (1), central processing unit (1) passes through the wire and realizes two-way connection with camera (2) to the input electric connection of wire and alarm (3), its characterized in that are passed through to the output of central processing unit (1): the input of central processing unit (1) is connected through the wireless output with intelligent bracelet (4), the input of central processing unit (1) passes through the output electric connection of wire and feedback module (5) to the output electric connection of wire and feature recognition module (6) is passed through to the input of feedback module (5), the input of central processing unit (1) passes through the wire and removes the output electric connection of judging module (7) with the node to the input of central processing unit (1) passes through the output electric connection of wire and orientation module (8), central processing unit (1) realizes both way junction through wireless and medical treatment distress module (9).
2. A vision and artificial intelligence based fall detection system as claimed in claim 1, wherein: the input end of the feature recognition module (6) is electrically connected with the output end of the video acquisition module (10) through a wire, the central processing unit (1) is connected with the storage module (11) in a bidirectional mode through a wire, and the output end of the storage module (11) is electrically connected with the input end of the video acquisition module (10) through a wire.
3. A vision and artificial intelligence based fall detection system as claimed in claim 1, wherein: the characteristic identification module (6) comprises a node capture module (61) and a horizontal ground capture module (62), and the output end of the node capture module (61) is electrically connected with the input end of the distance calculation module (63) through a lead.
4. A vision and artificial intelligence based fall detection system as claimed in claim 3, wherein: the output end of the horizontal ground capturing module (62) is electrically connected with the input end of the distance calculating module (63) through a lead, and the output end of the distance calculating module (63) is electrically connected with the input end of the difference value comparing module (64) through a lead.
5. A vision and artificial intelligence based fall detection system as claimed in claim 1, wherein: the central processing unit (1) is in bidirectional connection with the wireless signal receiving and transmitting module (12) through a conducting wire, and the wireless signal receiving and transmitting module (12) is in bidirectional connection with the mobile terminal (13) wirelessly.
6. A vision and artificial intelligence based fall detection system as claimed in claim 1, wherein: the medical help seeking module (9) comprises a position information sending module (91), and the output end of the position information sending module (91) is connected with the input end of a medical institution intelligent terminal (92) in a wireless mode.
7. A fall detection system based on vision and artificial intelligence, according to claim 6, wherein: the output end of the medical institution intelligent terminal (92) is electrically connected with the input end of the video calling module (93) through a lead.
8. A vision and artificial intelligence based fall detection system as claimed in claim 1, wherein: the intelligent bracelet (4) comprises a heart rate monitoring module (41), a respiration monitoring module (42), a body temperature monitoring module (43) and a monitoring result judging module (44).
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| CN201910846270.7A CN110675595B (en) | 2019-09-09 | 2019-09-09 | Fall detection system based on vision and artificial intelligence |
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| CN201910846270.7A CN110675595B (en) | 2019-09-09 | 2019-09-09 | Fall detection system based on vision and artificial intelligence |
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Cited By (2)
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| CN111731979A (en) * | 2020-07-03 | 2020-10-02 | 安徽理工大学 | Automatic staircase takes advantage of personnel identification system that tumbles based on computer vision |
| CN111883257A (en) * | 2020-09-25 | 2020-11-03 | 西南交通大学 | Human health state assessment and early warning system and method based on multiple sensors |
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