CN116132638B - Drowning prevention system and method - Google Patents
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- 206010013647 Drowning Diseases 0.000 title claims abstract description 43
- 230000002265 prevention Effects 0.000 title claims abstract description 24
- 238000000034 method Methods 0.000 title claims abstract description 13
- 230000002159 abnormal effect Effects 0.000 claims abstract description 191
- 230000009471 action Effects 0.000 claims abstract description 54
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 53
- 230000005540 biological transmission Effects 0.000 claims abstract description 34
- 238000012545 processing Methods 0.000 claims abstract description 32
- 238000000605 extraction Methods 0.000 claims abstract description 13
- 238000012544 monitoring process Methods 0.000 claims description 38
- 238000012937 correction Methods 0.000 claims description 20
- 230000005856 abnormality Effects 0.000 claims description 18
- 230000010354 integration Effects 0.000 claims description 14
- 238000001514 detection method Methods 0.000 claims description 13
- 230000033001 locomotion Effects 0.000 description 8
- 230000003321 amplification Effects 0.000 description 5
- 238000003199 nucleic acid amplification method Methods 0.000 description 5
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- 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
- G08B21/08—Alarms for ensuring the safety of persons responsive to the presence of persons in a body of water, e.g. a swimming pool; responsive to an abnormal condition of a body of water
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
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Abstract
The invention relates to the field of drowning prevention, in particular to a drowning prevention system and method, wherein the system comprises a first image acquisition module, a first image acquisition module and a second image acquisition module, wherein the first image acquisition module is used for acquiring a water area to be acquired in real time to acquire a first image group; the extraction module is used for determining an abnormal target in the water area to be acquired according to the action amplitude of any target to be tracked and the difference degree between the target to be tracked and other comparison objects; the second image acquisition module is used for amplifying an abnormal target and acquiring a real-time image, calculating an abnormal index of the abnormal target, and comparing the abnormal index with a preset difference standard index to select the transmission speed for transmitting the real-time image to the processing module; the processing module is used for adjusting the rotation angle and the rotation speed of the second image acquisition module when the second image acquisition module acquires the real-time image according to the abnormal target determined by the first image acquisition module and the position information of the abnormal target. The method and the device can realize the timely processing of the abnormal target and improve the processing efficiency of the abnormal target.
Description
Technical Field
The invention relates to the field of drowning prevention, in particular to a drowning prevention system and method.
Background
The water resource nourishes everything, so that life can be born.
Patent document publication No. CN109935050a discloses an anti-drowning rescue system comprising: the wrist motion detection module is arranged on the wrist body; the plurality of lifesaving alarms comprise alarm bodies which can be carried or worn by a rescuer; the remote control system is characterized in that a calculation module in the remote control system can identify the action frequency and the movement gesture of the wrist of the swimmer according to the wrist movement data and compare the action frequency and the movement gesture with the safe movement gesture and the safe movement frequency in a database to obtain whether the swimmer wearing the bracelet is in a safe movement state; the remote control system executes a first algorithm that includes instructions for immediately sending an alert message to at least one life-saving alarm when the computing module determines that the swimmer is in an unsafe motion state.
In the prior art, the safety state of a swimmer is detected through the bracelet body, if the bracelet fails or is powered off, the state of the user cannot be known in time, and certain limitation exists.
Disclosure of Invention
Therefore, the invention provides a drowning prevention system and method, which can solve the problem that the safety state of a user is not timely acquired in the prior art.
To achieve the above object, the present invention provides an anti-drowning system comprising:
the camera is connected with the server and used for monitoring a water area to be acquired and acquiring image photos around the water area to be acquired to obtain image photo information;
the camera comprises a first image acquisition module, an extraction module and a second image acquisition module, wherein the first image acquisition module is used for acquiring a water area to be acquired in real time to obtain a first image group, and the water area to be acquired comprises at least one target to be tracked;
the extraction module is connected with the first image acquisition module and used for extracting real-time images at a plurality of adjacent moments from the first image group and determining abnormal targets in a water area to be acquired according to the action amplitude of any target to be tracked and the difference degree between the target and other comparison objects;
the second image acquisition module is connected with the extraction module and used for positioning the abnormal target, determining the position information of the abnormal target, amplifying the abnormal target, acquiring a real-time image, calculating the abnormal index of the abnormal target, and selecting the transmission speed of transmitting the real-time image to the processing module by the abnormal index and a preset difference standard index;
the alarm device is arranged at a distance of 3 meters from the junction of the water area to be collected and the land, and is connected with the server, so as to send out automatic warning information and manual shouting warning information;
the server is connected with the camera, the alarm device, the emergency rescue device and the display screen and used for receiving, storing and analyzing the image photo information, the processing module is arranged in the server and is respectively connected with the first image acquisition module and the second image acquisition module and used for adjusting the rotation angle and the rotation speed of the second image acquisition module when the second image acquisition module acquires real-time images according to the abnormal targets determined by the first image acquisition module and the position information of the abnormal targets;
the emergency rescue device is connected with the server and used for carrying out emergency rescue on drowning accidents in the water area to be collected;
and the display screen is connected with the server and used for displaying the real-time video dynamic information of the camera.
Further, the first image acquisition module comprises a first camera module and a first angle adjustment module, the first camera module is connected with the first angle adjustment module, and the first angle adjustment module is used for adjusting a camera view angle of the first camera module so that the camera view angle can cover all targets to be tracked in the water area to be acquired.
Further, the second image acquisition module comprises a second camera module and a second angle adjustment module, the second camera module is connected with the second angle adjustment module, the second angle adjustment module is connected with the first camera module, when the first camera module acquires an abnormal target, the second angle adjustment module is used for adjusting the camera view angle of the second camera module to the abnormal target, if a plurality of abnormal targets are positioned in the first camera module, an angle adjustment priority list corresponding to the abnormal target is determined, and the second camera module is subjected to angle adjustment of the camera view angle according to the angle adjustment priority list so as to realize tracking monitoring of the abnormal target.
Further, the extraction module comprises an action amplitude determination unit, a difference degree determination unit and an abnormal target determination unit;
the action amplitude determining unit is used for determining action contour information of any target to be tracked at a first moment and action contour information at a second moment, judging that the action amplitude of the target to be tracked is abnormal if the action contour information at the second moment exceeds the action contour information at the first moment, and assigning the action amplitude to be 1, otherwise assigning the action amplitude to be tracked to 0;
the difference determining unit is used for determining whether the action definition of all the targets to be tracked is greater than the standard definition or not in the first moment, if the action definition of the targets to be tracked is less than or equal to the standard definition, judging that the targets to be tracked are abnormal, and assigning 1, otherwise assigning 0;
the abnormal target determining unit is respectively connected with the action amplitude determining unit and the difference determining unit, and determines whether the target to be tracked is determined to be an abnormal target according to the sum of the assignment of any target to be tracked in the action amplitude determining unit and the assignment in the difference determining unit.
Further, when determining the sum of the assignments, the abnormal target determining unit determines that the target to be tracked is normal if the sum of the assignments of the target to be tracked is 0, and determines that the target to be tracked is abnormal if the sum of the assignments of the target to be tracked is greater than 0.
Further, the second image acquisition module comprises a first setting unit, a building unit and a determining unit;
the first setting unit is used for setting a coordinate origin of a geometric center corresponding to the water level of the water area to be collected in the water area to be collected;
the establishing unit is used for establishing a three-dimensional coordinate system by taking the origin of coordinates as a coordinate system center point;
the determination unit is used for determining three-dimensional coordinate information of the abnormal target in the three-dimensional coordinate system.
Further, the second image acquisition module further comprises a second setting unit, an integration unit and a comparison unit;
the second setting unit is used for setting a contour standard area corresponding to the actual length of the target to be tracked at the abnormal target;
the integration unit is used for integrating and determining an actual difference value of absolute values of a positive integration area and a negative integration area of an actual contour of the abnormal target and the contour standard area;
the comparison unit is connected with the integration unit and used for comparing the actual difference value with half of the standard area corresponding to the contour standard area and determining the abnormality index of the abnormal target according to the magnitude relation of the actual difference value and the standard area.
Further, the second image acquisition module further comprises a third setting unit, a difference comparison unit and a selection unit;
the third setting unit is used for setting a standard transmission speed V0, a first correction coefficient k1 and a second correction coefficient k2;
the difference comparison unit is used for comparing the relation between the actual difference value of the abnormality index and the difference standard index and the standard difference value;
the selection unit is used for selecting a first correction coefficient to correct the standard transmission speed when the actual difference value is smaller than or equal to the standard difference value, and using the corrected transmission speed as the actual transmission speed of the real-time image;
the selection unit is further configured to select a second correction coefficient to correct the standard transmission speed when the actual difference is greater than the standard difference, and use the corrected transmission speed as the actual transmission speed of the real-time image.
Further, the processing module comprises a time period selection unit, a detection unit and an instruction sending unit;
the time period selection unit is used for selecting a plurality of monitoring time periods;
the detection unit is used for tracking the abnormal target in a plurality of monitoring periods and determining the increment of the abnormality index of the abnormal target in each detection period;
the instruction sending unit is connected with the detection unit and used for determining instruction information of the rotation angle and the rotation speed of the camera in the second image acquisition module according to the increment of the abnormality index so as to enable the camera to adjust the rotation angle and the rotation speed according to the instruction information.
In another aspect, the present invention also provides a method for preventing drowning, the method applying the drowning prevention system as described above, the method comprising:
acquiring a water area to be acquired in real time to acquire a first image group, wherein the water area to be acquired comprises at least one target to be tracked;
extracting real-time images of a plurality of adjacent moments from a first image group, and determining an abnormal target in a water area to be acquired according to the action amplitude of any target to be tracked and the difference degree between the target and other comparison objects;
positioning the abnormal target, determining the position information of the abnormal target, amplifying the abnormal target, acquiring a real-time image, calculating the abnormality index of the abnormal target, and selecting the transmission speed of transmitting the real-time image to a processing module by using the abnormality index and a preset difference standard index;
and adjusting the rotation angle and the rotation speed of the second image acquisition module when acquiring the real-time image according to the abnormal target determined by the first image acquisition module and the position information of the abnormal target.
Compared with the prior art, the method has the advantages that the real-time image of the target to be tracked in the water area to be acquired is determined by acquiring the water area to be acquired, whether the target to be tracked is abnormal or not is determined according to the action amplitude of the target to be tracked and the difference degree between the target to be tracked and other comparison objects, the abnormal target is amplified after the abnormal target is positioned, the abnormal index of the abnormal target is determined, the abnormal degree of the abnormal target is determined, the transmission speed for transmitting the real-time image is selected according to the abnormal degree, and the rotation angle and the rotation speed when the second image acquisition module is adjusted according to the abnormal target determined by the first image acquisition module and the position information of the abnormal target are determined after the processing module receives the corresponding image information, so that the second image acquisition module can lock the abnormal target in time, the abnormal target is timely processed, and the processing efficiency of the abnormal target is improved.
In particular, the angle adjustment of the shooting visual angle of the second shooting module is realized through the second angle adjustment module, the abnormal target is accurately positioned, the accurate acquisition of the abnormal target is realized, when a plurality of abnormal targets need to be acquired, the corresponding monitoring sequence can be determined according to the actual state of the abnormal target, the acquired images of the corresponding abnormal target are acquired according to the monitoring sequence, and the monitoring efficiency and the accuracy of the abnormal target are greatly improved.
In particular, through the change range corresponding to the change of the action profile information of the target to be tracked along with the time, the abnormal condition of the target to be tracked is determined, corresponding assignment is carried out, and in practical application, as the action definition of the target to be tracked in different states is different, when the definition does not reach the ideal definition, the target to be tracked is identified to be abnormal, the effective evaluation of the target to be tracked can be realized, the abnormal degree of the target to be tracked is determined, and then the rotation angle and the rotation speed of the second image acquisition device are determined, so that the abnormal target can be found conveniently in time, the effective monitoring and processing of the abnormal target are improved, and the rescue efficiency is improved.
In practical application, if the actual contour of the abnormal target is not in accordance with the contour standard region in any region, and if the actual contour of the abnormal target is not in accordance with the contour standard region, and if the actual contour of the abnormal target is not in accordance with the contour standard region, the contour standard region is increased, and the contour standard region is set.
In particular, by setting the standard transmission speed V0, the first correction coefficient k1 and the second correction coefficient k2, and selecting the corresponding first correction coefficient k1 and the second correction coefficient k2 from different comparison results according to the relation between the actual difference value of the abnormal index and the difference standard index and the standard difference value, the standard transmission speed is corrected, so that a real-time image can be timely transmitted into the processing module, the rotation angle and the rotation speed of the second camera are convenient to adjust, the accurate tracking and the timely feedback of the abnormal target are ensured, the feedback efficiency of the abnormal target is improved, and the processing speed is improved.
Particularly, by tracking the abnormal target in the monitoring period and determining the amplification of the abnormal index in the monitoring period, in practical application, if a drowning situation occurs, the amplification of the abnormal index is continuously increased, if the situation is normal, the fluctuation possibly occurs, but the situation of continuous increase can be smoothed through self adjustment, the timeliness of monitoring the abnormal target is determined through the determination of the amplification of the abnormal index, the rotation angle and the rotation speed of the camera are timely adjusted, when the abnormal amplification is continuously increased, the rotation speed is required to be increased, if the abnormal amplification is stable, reasonable and effective monitoring can be performed according to the normal rotation speed, the reasonable and effective monitoring in the area to be acquired is improved, and the processing efficiency of the emergency is improved.
Drawings
FIG. 1 is a schematic diagram of a drowning prevention system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a second embodiment of a drowning prevention system according to the present invention;
FIG. 3 is a schematic diagram of a third embodiment of a drowning prevention system according to the present invention;
fig. 4 is a schematic diagram of a fourth structure of the drowning prevention system according to the embodiment of the present invention.
Description of the embodiments
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
The drowning prevention system provided by the embodiment of the invention comprises:
the camera is connected with the server and used for monitoring a water area to be acquired and acquiring image photos around the water area to be acquired to obtain image photo information; the camera comprises a first image acquisition module 10, an extraction module 20 and a second image acquisition module 30;
the alarm device is arranged at a distance of 3 meters from the junction of the water area to be collected and the land, and is connected with the server, so as to send out automatic warning information and manual shouting warning information;
the server is connected with the camera, the alarm device, the emergency rescue device and the display screen and used for receiving, storing and analyzing the image photo information, and the processing module 40 is arranged in the server;
the emergency rescue device is connected with the server and used for carrying out emergency rescue on drowning accidents in the water area to be collected;
and the display screen is connected with the server and used for displaying the real-time video dynamic information of the camera.
Specifically, the outdoor camera is used for shooting and taking photos of the water area to be collected, all-weather monitoring is carried out on the water area to be collected, the influence of the external environment on the performance of the camera is small, the camera can work normally, the service life is long, the working state can be kept normal in long-time monitoring, the requirement of real-time monitoring of the water area to be collected is met, and the prevention effect on drowning is improved.
Referring to fig. 1, in the drowning prevention system provided by the embodiment of the invention,
the first image acquisition module 10 is configured to acquire a first image group in real time in a water area to be acquired, where the water area to be acquired includes at least one target to be tracked;
the extraction module 20 is connected with the first image acquisition module and is used for extracting real-time images of a plurality of adjacent moments from the first image group and determining abnormal targets in a water area to be acquired according to the action amplitude of any target to be tracked and the difference degree between the target and other comparison objects;
the second image acquisition module 30 is connected with the extraction module and is used for positioning the abnormal target, determining the position information of the abnormal target, amplifying the abnormal target, acquiring a real-time image, calculating the abnormal index of the abnormal target, and comparing the abnormal index with a preset difference standard index to select the transmission speed for transmitting the real-time image to the processing module;
the processing module 40 is respectively connected with the first image acquisition module and the second image acquisition module, and is used for adjusting the rotation angle and the rotation speed of the second image acquisition module when acquiring the real-time image according to the abnormal target determined by the first image acquisition module and the position information of the abnormal target.
Specifically, the target to be tracked is a student, and when the student exists in the water area to be collected in the embodiment of the invention, the state of the student needs to be monitored and determined so as to be convenient for accurately collecting the state of the student.
When it is determined that there are anomalies in the target to be tracked, there are a variety of alert modes that can be selected, including but not limited to shouting, contacting parents of students, rescuing personnel for intervention, and the like. In practical application, when students enter dangerous areas such as river sides, the system can automatically recognize the names of the students and send out audible and visual alarms, and then accurate voice warning is carried out, for example: a college, you have entered a dangerous area where swimming and play are prohibited, asking you to leave immediately.
And the system can send the time and position information of the student entering the dangerous area to cell phones of parents, schools and jurisdictions in a mode of short messages, weChat and the like while carrying out voice warning. Meanwhile, the anti-drowning background personnel can force the popup window to alarm, check the site situation in time and make effective treatment.
If the students ignore the automatic alarm and the voice prompt and stay and play in the dangerous area continuously, the background attendees can call out through remote broadcasting, warn and persuade the students, and observe the current situation of the students in real time through monitoring, so that dangerous accidents are prevented effectively.
If parents fail to view early warning information of children in time, the system dials the telephone of the student guardian through the 5G video customer service, video of the child entering a dangerous area is synchronized to the parents, the parents can directly transfer anti-drowning equipment connected with the child area through the 5G video customer service, and the parents can remotely call the anti-drowning equipment to drive the child to leave the dangerous area.
For a student to persuade an ineffective, the platform would issue an urgent task to the grid personnel in the area and require that the site be reached within 5 minutes. After arriving at the site, the gridding member drives away the students and criticizes the students, and warns the students to be far away from the dangerous area. After the processing is finished, the event is uploaded to the platform by the gridding member, the platform is fed back to schools and parents, and the teachers and parents again carry out important education on the students.
In case of emergency, surrounding personnel can use the one-key alarming function of the drowning prevention device, the drowning prevention alarming column emergency calling function can be started after the alarm receiving center confirms, the on-site alarming lamp flashes, the alarming sounds are long, the surrounding masses are attracted to participate in rescue together, the masses can use the lifesaving device arranged on the device to participate in emergency rescue, and the danger existing in the trade and rescue is prevented.
If someone drowns, surrounding personnel can use the one-key alarming function of the drowning prevention early warning device, the device automatically makes an emergency plan, the visual alarm is connected with a public management department duty room, the device sends out an audible and visual alarm sound for emergency help, surrounding personnel help is sought, and the surrounding personnel can rescue through a life buoy, a life rod and a life rope which are arranged on the device.
According to AI algorithm, 24 hours monitoring waters scene takes place personnel drowning condition, if find drowning condition, the platform sends the instruction to the throwing manipulator on the scene anti-drowning early warning equipment, through throwing manipulator automatic to drowning personnel direction accurate throwing several self-inflating life buoy or other life-saving equipment, can ensure that drowning personnel obtain effectual help before rescue team does not arrive.
Specifically, the embodiment of the invention acquires the real-time image of the target to be tracked in the water area to be acquired, determines whether the target to be tracked is abnormal according to the action amplitude of the target to be tracked and the difference degree between the target to be tracked and other comparison objects, amplifies the abnormal target after the abnormal target is positioned, determines the abnormal index of the abnormal target, further determines the abnormal degree of the abnormal target, selects the transmission speed for transmitting the real-time image according to the abnormal degree, and determines the rotation angle and the rotation speed when the second image acquisition module is adjusted to acquire the real-time image according to the abnormal target determined by the first image acquisition module and the position information of the abnormal target after the processing module receives the corresponding image information, so that the second image acquisition module can lock the abnormal target in time, realize the timely processing of the abnormal target and improve the processing efficiency of the abnormal target.
Specifically, as shown in fig. 2, the first image acquisition module 10 includes a first camera module 11 and a first angle adjustment module 12, where the first camera module is connected to the first angle adjustment module, and the first angle adjustment module is configured to adjust a camera view angle of the first camera module, so that the camera view angle can cover all objects to be tracked in the water area to be acquired.
Specifically, the embodiment of the invention realizes real-time monitoring of all targets to be tracked in the water area to be collected through the first camera module and the first angle adjusting module, and the camera view angle of the first camera module can be timely adjusted through the connection of the first angle adjusting module and the first camera module, so that the first camera module can realize all-angle coverage of all targets to be tracked at any moment.
Specifically, as shown in fig. 2, the second image acquisition module 30 includes a second image capturing module 31 and a second angle adjustment module 32, where the second image capturing module is connected to the second angle adjustment module, and the second angle adjustment module is connected to the first image capturing module, and when the first image capturing module acquires an abnormal target, the second angle adjustment module is configured to adjust the image capturing angle of the second image capturing module to the abnormal target, and if a plurality of abnormal targets are located in the first image capturing module, determine an angle adjustment priority list corresponding to the abnormal target, and perform angle adjustment of the image capturing angle of the second image capturing module according to the angle adjustment priority list, so as to implement tracking monitoring on the abnormal target.
Specifically, the embodiment of the invention realizes the angle adjustment of the shooting visual angle of the second shooting module through the second angle adjustment module, accurately positions the abnormal targets, realizes the accurate acquisition of the abnormal targets, can determine the corresponding monitoring sequence according to the actual state of the abnormal targets when a plurality of abnormal targets need to be acquired, acquires the acquired images of the corresponding abnormal targets according to the monitoring sequence, and greatly improves the monitoring efficiency and the accuracy of the abnormal targets.
Specifically, as shown in fig. 3, the extraction module 20 includes an action amplitude determination unit 21, a degree of difference determination unit 22, and an abnormality target determination unit 23;
the action amplitude determining unit is used for determining action contour information of any target to be tracked at a first moment and action contour information at a second moment, judging that the action amplitude of the target to be tracked is abnormal if the action contour information at the second moment exceeds the action contour information at the first moment, and assigning the action amplitude to be 1, otherwise assigning the action amplitude to be tracked to 0;
the difference determining unit is used for determining whether the action definition of all the targets to be tracked is greater than the standard definition or not in the first moment, if the action definition of the targets to be tracked is less than or equal to the standard definition, judging that the targets to be tracked are abnormal, and assigning 1, otherwise assigning 0;
the abnormal target determining unit is respectively connected with the action amplitude determining unit and the difference determining unit, and determines whether the target to be tracked is determined to be an abnormal target according to the sum of the assignment of any target to be tracked in the action amplitude determining unit and the assignment in the difference determining unit.
Specifically, the embodiment of the invention determines the abnormal condition of the target to be tracked through the change range corresponding to the change of the action profile information of the target to be tracked along with time, carries out corresponding assignment, and in practical application, because the action definition of the target to be tracked in different states is different, when the definition does not reach ideal definition, the target to be tracked is determined to be abnormal, the effective evaluation of the target to be tracked can be realized, the abnormal degree of the target to be tracked is determined, and then the rotation angle and the rotation speed of the second image acquisition device are determined, so that the abnormal target can be found in time, the effective monitoring and processing of the abnormal target are improved, and the rescue efficiency is improved.
Specifically, when determining the sum of the assignments, the abnormal target determining unit determines that the target to be tracked is normal if the sum of the assignments of the target to be tracked is 0, and determines that the target to be tracked is abnormal if the sum of the assignments of the target to be tracked is greater than 0.
Specifically, in the embodiment of the invention, the sum of the assignments of the targets to be tracked is calculated and compared with 0, in the practical application, if the assignment of any parameter is not 0, the presence of abnormality of the targets to be tracked is indicated, so that the state of the targets to be tracked is normal only when the sum of the assignments is 0, effective selection and elimination of the abnormal state are realized, the evaluation efficiency of the targets to be tracked is improved, and the processing efficiency of the abnormal targets is further improved.
Specifically, the second image acquisition module comprises a first setting unit, a building unit and a determining unit;
the first setting unit is used for setting a coordinate origin of a geometric center corresponding to the water level of the water area to be collected in the water area to be collected;
the establishing unit is used for establishing a three-dimensional coordinate system by taking the origin of coordinates as a coordinate system center point;
the determination unit is used for determining three-dimensional coordinate information of the abnormal target in the three-dimensional coordinate system.
Specifically, the embodiment of the invention sets the coordinate origin through the first setting unit, establishes a three-dimensional coordinate system at the coordinate origin, further realizes effective positioning of the abnormal target, realizes reasonable monitoring and analysis of the abnormal target, realizes rationalization allocation of the camera shooting view angle for the abnormal target, and improves monitoring efficiency of the abnormal target.
Specifically, the second image acquisition module further comprises a second setting unit, an integration unit and a comparison unit;
the second setting unit is used for setting a contour standard area corresponding to the actual length of the target to be tracked at the abnormal target;
the integration unit is used for integrating and determining an actual difference value of absolute values of a positive integration area and a negative integration area of an actual contour of the abnormal target and the contour standard area;
the comparison unit is connected with the integration unit and used for comparing the actual difference value with half of the standard area corresponding to the contour standard area and determining the abnormality index of the abnormal target according to the magnitude relation of the actual difference value and the standard area.
Specifically, in the embodiment of the invention, by setting the contour standard area and determining the area integral of the actual contour of the abnormal target and the contour standard area, in the practical application, if the contour of the actual area is not in accordance with the contour standard area in any area, some areas are absent and some areas are increased.
Specifically, the second image acquisition module further comprises a third setting unit, a difference comparison unit and a selection unit;
the third setting unit is used for setting a standard transmission speed V0, a first correction coefficient k1 and a second correction coefficient k2;
the difference comparison unit is used for comparing the relation between the actual difference value of the abnormality index and the difference standard index and the standard difference value;
the selection unit is used for selecting a first correction coefficient to correct the standard transmission speed when the actual difference value is smaller than or equal to the standard difference value, and using the corrected transmission speed as the actual transmission speed of the real-time image;
the selection unit is further configured to select a second correction coefficient to correct the standard transmission speed when the actual difference is greater than the standard difference, and use the corrected transmission speed as the actual transmission speed of the real-time image.
Specifically, in the embodiment of the invention, the standard transmission speed V0, the first correction coefficient k1 and the second correction coefficient k2 are set, and the corresponding first correction coefficient k1 and second correction coefficient k2 are selected from different comparison results according to the relation between the actual difference value of the abnormal index and the difference standard index and the standard difference value, so that a real-time image can be timely transmitted into a processing module, the rotation angle and the rotation speed of the second camera are conveniently adjusted, the abnormal target is accurately tracked and timely fed back, the feedback efficiency of the abnormal target is improved, and the processing speed is improved.
Specifically, as shown in fig. 4, the processing module 40 includes a period selection unit 41, a detection unit 42, and an instruction transmission unit 43;
the time period selection unit is used for selecting a plurality of monitoring time periods;
the detection unit is used for tracking the abnormal target in a plurality of monitoring periods and determining the increment of the abnormality index of the abnormal target in each detection period;
the instruction sending unit is connected with the detection unit and used for determining instruction information of the rotation angle and the rotation speed of the camera in the second image acquisition module according to the increment of the abnormality index so as to enable the camera to adjust the rotation angle and the rotation speed according to the instruction information.
Specifically, the embodiment of the invention tracks the abnormal target in the monitoring period and determines the increment of the abnormal index in the monitoring period, in practical application, if a drowning situation occurs, the increment of the abnormal index is continuously increased, if the situation is normal, the fluctuation possibly occurs, but the adjustment of the abnormal index can be smooth and the situation of continuous increase does not occur, the embodiment of the invention determines the timeliness of monitoring the abnormal target through the determination of the increment of the abnormal index, further adjusts the rotation angle and the rotation speed of the camera in time, when the abnormal increment is continuously increased, the rotation speed needs to be increased, if the abnormal increment is stable, the reasonable and effective monitoring can be performed according to the normal rotation speed, the reasonable and effective monitoring in the area to be acquired is improved, and the processing efficiency of the emergency is improved.
Specifically, the embodiment of the invention also provides a drowning prevention method, which comprises the following steps:
acquiring a water area to be acquired in real time to acquire a first image group, wherein the water area to be acquired comprises at least one target to be tracked;
extracting real-time images of a plurality of adjacent moments from a first image group, and determining an abnormal target in a water area to be acquired according to the action amplitude of any target to be tracked and the difference degree between the target and other comparison objects;
positioning the abnormal target, determining the position information of the abnormal target, amplifying the abnormal target, collecting a real-time image, calculating the abnormal index of the abnormal target, and comparing the abnormal index with a preset difference standard index to select the transmission speed of the real-time image to a processing module;
and adjusting the rotation angle and the rotation speed of the second image acquisition module when acquiring the real-time image according to the abnormal target determined by the first image acquisition module and the position information of the abnormal target.
Specifically, the drowning prevention method provided by the embodiment of the invention can achieve the same technical effects as the drowning prevention system, and is not described herein.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. An anti-drowning system, comprising:
the camera is connected with the server and used for monitoring a water area to be acquired and acquiring image photos around the water area to be acquired to obtain image photo information;
the camera comprises a first image acquisition module, an extraction module and a second image acquisition module, wherein the first image acquisition module is used for acquiring a water area to be acquired in real time to obtain a first image group, and the water area to be acquired comprises at least one target to be tracked;
the extraction module is connected with the first image acquisition module and used for extracting real-time images at a plurality of adjacent moments from the first image group and determining abnormal targets in a water area to be acquired according to the action amplitude of any target to be tracked and the difference degree between the target and other comparison objects;
the second image acquisition module is connected with the extraction module and used for positioning the abnormal target, determining the position information of the abnormal target, amplifying the abnormal target, acquiring a real-time image, calculating the abnormal index of the abnormal target, and comparing the abnormal index with a preset difference standard index to select the transmission speed for transmitting the real-time image to the processing module;
the alarm device is arranged at a distance of 3 meters from the junction of the water area to be collected and the land, and is connected with the server, so as to send out automatic warning information and manual shouting warning information;
the server is connected with the camera, the alarm device, the emergency rescue device and the display screen and used for receiving, storing and analyzing the image photo information, a processing module is arranged in the server and is respectively connected with the first image acquisition module and the second image acquisition module and used for adjusting the rotation angle and the rotation speed of the second image acquisition module when the second image acquisition module acquires real-time images according to the abnormal targets determined by the first image acquisition module and the position information of the abnormal targets;
the emergency rescue device is connected with the server and used for carrying out emergency rescue on drowning accidents in the water area to be collected;
the display screen is connected with the server and used for displaying the real-time video dynamic information of the camera;
the first image acquisition module comprises a first camera module and a first angle adjustment module, the first camera module is connected with the first angle adjustment module, and the first angle adjustment module is used for adjusting the camera view angle of the first camera module so that the camera view angle can cover all targets to be tracked in the water area to be acquired;
the second image acquisition module comprises a second camera module and a second angle adjustment module, the second camera module is connected with the second angle adjustment module, the second angle adjustment module is connected with the first camera module, when the first camera module acquires an abnormal target, the second angle adjustment module is used for adjusting the camera view angle of the second camera module to the abnormal target, if a plurality of abnormal targets are positioned in the first camera module, an angle adjustment priority list corresponding to the abnormal target is determined, and the second camera module is subjected to angle adjustment of the camera view angle according to the angle adjustment priority list so as to realize tracking monitoring of the abnormal target;
the extraction module comprises an action amplitude determination unit, a difference degree determination unit and an abnormal target determination unit;
the action amplitude determining unit is used for determining action contour information of any target to be tracked at a first moment and action contour information at a second moment, judging that the action amplitude of the target to be tracked is abnormal if the action contour information at the second moment exceeds the action contour information at the first moment, and assigning the action amplitude to be 1, otherwise assigning the action amplitude to be tracked to 0;
the difference determining unit is used for determining whether the action definition of all the targets to be tracked is greater than the standard definition or not in the first moment, if the action definition of the targets to be tracked is less than or equal to the standard definition, judging that the targets to be tracked are abnormal, and assigning 1, otherwise assigning 0;
the abnormal target determining unit is respectively connected with the action amplitude determining unit and the difference determining unit and determines whether the target to be tracked is determined to be an abnormal target according to the sum of the assignment of any target to be tracked in the action amplitude determining unit and the assignment in the difference determining unit;
the second image acquisition module further comprises a first setting unit, a building unit, a determining unit, a second setting unit, an integrating unit and a comparing unit;
the first setting unit is used for setting a coordinate origin of a geometric center corresponding to the water level of the water area to be collected in the water area to be collected;
the establishing unit is used for establishing a three-dimensional coordinate system by taking the origin of coordinates as a coordinate system center point;
the determining unit is used for determining three-dimensional coordinate information of the abnormal target in the three-dimensional coordinate system;
the second setting unit is used for setting a contour standard area corresponding to the actual length of the target to be tracked at the abnormal target;
the integration unit is used for integrating and determining an actual difference value of absolute values of a positive integration area and a negative integration area of an actual contour of the abnormal target and the contour standard area;
the comparison unit is connected with the integration unit and used for comparing the actual difference value with half of the standard area corresponding to the contour standard area and determining the abnormality index of the abnormal target according to the magnitude relation of the actual difference value and the standard area.
2. The anti-drowning system according to claim 1, wherein,
and when determining the sum of the assignments, the abnormal target determining unit determines that the target to be tracked is normal if the sum of the assignments of the target to be tracked is 0, and determines that the target to be tracked is abnormal if the sum of the assignments of the target to be tracked is greater than 0.
3. The anti-drowning system according to claim 1, wherein,
the second image acquisition module further comprises a third setting unit, a difference comparison unit and a selection unit;
the third setting unit is used for setting a standard transmission speed V0, a first correction coefficient k1 and a second correction coefficient k2;
the difference comparison unit is used for comparing the relation between the actual difference value of the abnormality index and the difference standard index and the standard difference value;
the selection unit is used for selecting a first correction coefficient to correct the standard transmission speed when the actual difference value is smaller than or equal to the standard difference value, and using the corrected transmission speed as the actual transmission speed of the real-time image;
the selection unit is further configured to select a second correction coefficient to correct the standard transmission speed when the actual difference is greater than the standard difference, and use the corrected transmission speed as the actual transmission speed of the real-time image.
4. The drowning prevention system of claim 3, wherein,
the processing module comprises a time period selection unit, a detection unit and an instruction sending unit;
the time period selection unit is used for selecting a plurality of monitoring time periods;
the detection unit is used for tracking the abnormal target in a plurality of monitoring periods and determining the increment of the abnormality index of the abnormal target in each detection period;
the instruction sending unit is connected with the detection unit and used for determining instruction information of the rotation angle and the rotation speed of the camera in the second image acquisition module according to the increment of the abnormality index so as to enable the camera to adjust the rotation angle and the rotation speed according to the instruction information.
5. A method of drowning prevention using the drowning prevention system of any of claims 1-4, comprising:
acquiring a water area to be acquired in real time to acquire a first image group, wherein the water area to be acquired comprises at least one target to be tracked;
extracting real-time images of a plurality of adjacent moments from a first image group, and determining an abnormal target in a water area to be acquired according to the action amplitude of any target to be tracked and the difference degree between the target and other comparison objects;
positioning the abnormal target, determining the position information of the abnormal target, amplifying the abnormal target, acquiring a real-time image, calculating the abnormality index of the abnormal target, and comparing the abnormality index with a preset difference standard index to select the transmission speed for transmitting the real-time image to a processing module;
and adjusting the rotation angle and the rotation speed of the second image acquisition module when acquiring the real-time image according to the abnormal target determined by the first image acquisition module and the position information of the abnormal target.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007026331A (en) * | 2005-07-20 | 2007-02-01 | Marine Giken:Kk | Drowning monitoring system |
| CN1976445A (en) * | 2006-12-15 | 2007-06-06 | 上海鼎业电子科技有限公司 | Multi-camera monitoring system based on three-dimensional video frequency dynamic tracking and tracking method thereof |
| CN105338248A (en) * | 2015-11-20 | 2016-02-17 | 成都因纳伟盛科技股份有限公司 | Intelligent multi-target active tracking monitoring method and system |
| CN107566797A (en) * | 2017-09-07 | 2018-01-09 | 青岛博晶微电子科技有限公司 | A kind of drowned monitor and detection device of swimming pool |
| CN112309077A (en) * | 2020-09-23 | 2021-02-02 | 苏宁云计算有限公司 | Drowning alarm method and drowning alarm device for swimming pool |
| CN113688724A (en) * | 2021-08-24 | 2021-11-23 | 桂林电子科技大学 | Swimming pool drowning monitoring method based on binocular vision |
| CN114219833A (en) * | 2021-12-06 | 2022-03-22 | 汉朗科技(北京)有限责任公司 | Overwater and underwater computer vision comprehensive drowning judgment system |
| CN115131940A (en) * | 2022-08-30 | 2022-09-30 | 南昌云守护科技有限公司 | Drowning prevention system |
| CN115171336A (en) * | 2022-06-15 | 2022-10-11 | 福州大学 | Drowned protection system of beach control |
| CN115797832A (en) * | 2022-11-29 | 2023-03-14 | 每步科技(上海)有限公司 | Abnormal behavior identification method and system in swimming scene and storage medium |
-
2023
- 2023-04-04 CN CN202310350346.3A patent/CN116132638B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007026331A (en) * | 2005-07-20 | 2007-02-01 | Marine Giken:Kk | Drowning monitoring system |
| CN1976445A (en) * | 2006-12-15 | 2007-06-06 | 上海鼎业电子科技有限公司 | Multi-camera monitoring system based on three-dimensional video frequency dynamic tracking and tracking method thereof |
| CN105338248A (en) * | 2015-11-20 | 2016-02-17 | 成都因纳伟盛科技股份有限公司 | Intelligent multi-target active tracking monitoring method and system |
| CN107566797A (en) * | 2017-09-07 | 2018-01-09 | 青岛博晶微电子科技有限公司 | A kind of drowned monitor and detection device of swimming pool |
| CN112309077A (en) * | 2020-09-23 | 2021-02-02 | 苏宁云计算有限公司 | Drowning alarm method and drowning alarm device for swimming pool |
| CN113688724A (en) * | 2021-08-24 | 2021-11-23 | 桂林电子科技大学 | Swimming pool drowning monitoring method based on binocular vision |
| CN114219833A (en) * | 2021-12-06 | 2022-03-22 | 汉朗科技(北京)有限责任公司 | Overwater and underwater computer vision comprehensive drowning judgment system |
| CN115171336A (en) * | 2022-06-15 | 2022-10-11 | 福州大学 | Drowned protection system of beach control |
| CN115131940A (en) * | 2022-08-30 | 2022-09-30 | 南昌云守护科技有限公司 | Drowning prevention system |
| CN115797832A (en) * | 2022-11-29 | 2023-03-14 | 每步科技(上海)有限公司 | Abnormal behavior identification method and system in swimming scene and storage medium |
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