CN112887678A - Supervision method, system, storage medium and equipment for supervision personnel on duty - Google Patents
Supervision method, system, storage medium and equipment for supervision personnel on duty Download PDFInfo
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- CN112887678A CN112887678A CN202110121338.2A CN202110121338A CN112887678A CN 112887678 A CN112887678 A CN 112887678A CN 202110121338 A CN202110121338 A CN 202110121338A CN 112887678 A CN112887678 A CN 112887678A
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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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
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
Abstract
The invention provides a supervision method, a supervision system, a storage medium and equipment for a person on duty in a prison, wherein the method comprises the following steps: acquiring a monitoring room video of a monitoring place under the supervision of a supervision team every preset time, wherein a camera is arranged in the monitoring room and shoots the monitoring room to obtain the monitoring room video; identifying the human shape of each frame of image of the video of the monitoring room; judging whether a target frame image without human-shaped characteristics is present; and if so, sending the target frame image to a monitored preset personnel terminal. The invention automatically identifies whether the monitoring room is unattended or not through human figure analysis based on the image; when the unattended monitoring room is identified, the monitoring room is notified to relevant personnel of the monitoring place, so that the monitoring room of the monitoring place is automatically and remotely monitored, the monitoring efficiency and the intelligent degree are improved, the standard requirement of an intelligent monitoring place is met, the phenomenon of dealing with inspection is thoroughly eliminated, and the effect of effectively monitoring the monitoring room of the monitoring place is finally achieved.
Description
Technical Field
The invention relates to the technical field of supervision and administration, in particular to a supervision method, a supervision system, a storage medium and a supervision device for personnel on duty in a supervision department.
Background
The supervision branch team needs to supervise and check the supervision places (called as supervision places for short) under the supervision of the supervision branch team, and because the monitoring room is the monitoring center of the whole supervision place, emergency (such as the emergency body discomfort of the working personnel) can be found in time through the monitoring center, the supervision place generally requires that twenty-four hours are attended by people in the monitoring room, and therefore, whether the monitoring room is unattended becomes a key project for supervising and checking the supervision and supervision of the supervision branch team.
However, at present, supervision to the monitoring room mostly depends on supervision crews to carry out on-site assault supervision and inspection, and this kind of mode is inefficient and intelligent degree is poor, can't reach the standard requirement of the wisdom prison that advocates at present, and the phenomenon of dealing with the inspection often exists simultaneously, hardly reaches effective supervision effect.
Disclosure of Invention
Based on this, the present invention provides a supervision method, a supervision system, a storage medium and a device for a person on duty in a prison, so as to solve the technical problems of low supervision efficiency and poor intelligence degree of the monitoring room in the existing prison.
According to the embodiment of the invention, the supervision method for the monitored on-duty personnel comprises the following steps:
acquiring a monitoring room video of a monitoring place under the jurisdiction of a monitoring team at preset time intervals, wherein a camera is arranged in the monitoring room and shoots the monitoring room by the camera to obtain the monitoring room video;
identifying the human shape of each frame of image of the monitoring room video;
judging whether a target frame image without human-shaped characteristics is present;
and if so, sending the target frame image to a preset personnel terminal of the prison.
In addition, the supervision method for the monitoring staff on duty according to the above embodiment of the present invention may further have the following additional technical features:
preferably, before the step of identifying the human shape of each frame of image of the monitoring room video, the method further comprises:
and carrying out gray processing on each frame of image of the monitoring room video.
Preferably, before the step of sending the target frame image to the preset personnel terminal of the prison, the method further includes:
judging whether the last frame image of the monitoring room video is the target frame image;
and if so, sending the target frame image to a preset personnel terminal of the prison.
Preferably, after the step of sending the target frame image to the preset personnel terminal of the prison, the method further includes:
reducing the preset time according to a preset proportion;
and when the human-shaped characteristics are re-identified from the subsequently acquired video of the monitoring room, restoring the preset time to the initial value.
Preferably, the step of sending the target frame image to the preset personnel terminal of the prison comprises:
judging whether multiple frames exist in the target frame image or not;
if yes, selecting at least one frame from the target frame images of the plurality of frames according to a preset rule and sending the frame to a preset personnel terminal of the prison;
and if not, issuing the only target frame image to the monitored preset personnel terminal.
Preferably, the step of selecting at least one frame from the plurality of frames of target frame images according to a preset rule and issuing the selected frame to the preset personnel terminal of the prison comprises the following steps:
judging whether a plurality of frames of target frame images are continuous in time;
if yes, sending any one frame of the target frame image to a preset personnel terminal of the monitoring place;
if not, dividing the multiple frames of target frame images into multiple image sets, and sending any one target frame image from each image set to a preset personnel terminal of the monitoring station, wherein the target frame images in each image set are continuous in time.
Preferably, the step of sending the target frame image to the preset personnel terminal of the prison comprises:
acquiring a work scheduling table of the monitoring room;
determining the current on-duty personnel of the monitoring room according to the time of the target frame image and the work shift schedule;
acquiring a preset communication mode of the current on-duty personnel and the supervisor thereof;
and based on the preset communication mode of the current person on duty and the supervisor thereof, the target frame image is issued to the terminals of the current person on duty and the supervisor thereof.
According to the embodiment of the invention, the supervision system for the monitoring staff on duty comprises:
the system comprises a video acquisition module, a monitoring room video acquisition module and a monitoring management module, wherein the video acquisition module is used for acquiring a monitoring room video of a monitoring place under the supervision of a supervision team at intervals of preset time, a camera is arranged in the monitoring room, and the camera shoots the monitoring room to obtain the monitoring room video;
the human shape recognition module is used for recognizing the human shape of each frame of image of the monitoring room video;
the characteristic judging module is used for judging whether a target frame image without human-shaped characteristics is existed or not;
and the image issuing module is used for issuing the target frame image to a preset personnel terminal of the prison when judging that the target frame image exists.
The invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the supervision method for the person on duty.
The invention also provides a monitoring device for monitoring the personnel on duty, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the monitoring method for monitoring the personnel on duty when executing the program.
Compared with the prior art: automatically identifying whether the monitoring room is unattended or not through human shape analysis based on the images; when the unattended monitoring room is identified, the monitoring room is notified to relevant personnel of the monitoring place, so that the monitoring room of the monitoring place is automatically and remotely monitored, the monitoring efficiency and the intelligent degree are improved, the standard requirement of an intelligent monitoring place is met, the phenomenon of dealing with inspection is thoroughly eliminated, and the effect of effectively monitoring the monitoring room of the monitoring place is finally achieved.
Drawings
FIG. 1 is a flowchart of a supervision method for monitoring a person on duty according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a supervision method for monitoring a person on duty according to a second embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for supervising a person on duty according to a third embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a supervision system for monitoring personnel on duty according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of a supervision device for monitoring personnel on duty in a fifth embodiment of the present invention.
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Several embodiments of the invention are presented in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Example one
Referring to fig. 1, a supervision method for monitoring a person on duty according to a first embodiment of the present invention is shown, which can be applied to a supervision device for monitoring a person on duty, where the supervision device for monitoring a person on duty can be implemented by software and/or hardware, and the method specifically includes steps S01 to S04.
And step S01, acquiring a monitoring room video of a monitoring place administered by the monitoring team every preset time.
When the video monitoring system is specifically implemented, the camera can be installed in the monitoring room, the camera shoots the monitoring room to obtain a monitoring room video, and the camera is utilized to carry out video monitoring on the monitoring room. When specifically installing, the camera is preferably installed in the position that can take whole monitor room environment completely, for example the ceiling corner to the camera is preferably wide-angle lens, can effectively avoid the monitor room to have the shooting dead angle like this, thereby avoids follow-up erroneous judgement monitor room unmanned on duty.
The monitoring device for the monitoring person on duty can be a computer device of a monitoring team, such as a monitoring large screen, a computer, a server, and the like of the monitoring team. The supervision equipment of the monitoring personnel on duty can be in wireless communication connection or wired communication connection with the camera, and the wireless communication connection can be in communication connection modes such as Bluetooth, radio frequency, mobile communication networks (such as 5G networks), Zigbee and the like. In step S01, the preset time may be preset, for example, set to 15 minutes, and the camera uploads the monitor room video to the monitoring equipment of the monitoring person on duty every 15 minutes, where it should be noted that the monitor room video uploaded by the camera each time is the latest monitor room video, for example, the first 15 minutes, and the camera uploads the monitor room video shot in a time period of 0 to 15 minutes to the monitoring equipment of the monitoring person on duty; and in the second 15 minutes, the camera uploads the monitoring room videos shot in 15-30 minutes to the monitoring equipment of the monitoring station, so that the monitoring equipment of the monitoring station can receive the monitoring videos of the monitoring room at each moment, omission is avoided, and the monitoring comprehensiveness and reliability of the monitoring room are ensured.
And step S02, performing human shape recognition on each frame of image of the monitoring room video.
In specific implementation, a human shape recognition algorithm can be adopted to perform human shape recognition on each frame of image of the monitoring room video. By way of example and not limitation, the human shape recognition algorithm may be, but is not limited to, Mask R-CNN algorithm, SSD target detection algorithm, SVM-based human shape recognition algorithm, real-time human shape recognition algorithm based on LBP improvement algorithm, and the like.
It should be noted that, in step S02, it is only necessary to identify whether there is a human-shaped feature in each frame of image of the monitoring room video, and it may not be necessary to count the number of human-shaped features in each frame of image, and so on. Of course, under the condition of abundant processing resources, the number of the human-shaped features in each frame of image can be counted, so that whether a person is on duty in the monitoring room at present or not can be analyzed, and the number of the persons on duty can be analyzed, and the monitoring room can be monitored more comprehensively.
In step S03, it is determined whether or not there is a target frame image in which no human-shaped feature is recognized.
When it is determined that there is a target frame image in which the human-shaped feature is not recognized, representing that the monitoring room is unattended at the time of photographing the target frame image, step S04 is performed; otherwise, the human-shaped characteristics are identified in each frame of image in the video of the monitoring room, and the unattended monitoring room phenomenon does not exist.
And step S04, sending the target frame image to the preset personnel terminal of the prison.
The preset personnel terminal can be a mobile terminal, a computer and the like of a supervisor of a monitoring department, and can also be a mobile terminal, a computer and the like of a current person on duty in a monitoring room. The target frame image can be specifically issued to the preset personnel terminal of the monitoring station in the modes of short message, WeChat, mail, APP pushing and the like, so that related personnel can be timely supervised to the post, and accidents caused by long-time unattended operation of a monitoring room are avoided.
In summary, in the supervision method for the monitoring staff on duty in the above embodiment of the present invention, whether the monitoring room is unattended or not is automatically identified through human shape analysis based on the image; when the unattended monitoring room is identified, the monitoring room is notified to relevant personnel of the monitoring place, so that the monitoring room of the monitoring place is automatically and remotely monitored, the monitoring efficiency and the intelligent degree are improved, the standard requirement of an intelligent monitoring place is met, the phenomenon of dealing with inspection is thoroughly eliminated, and the effect of effectively monitoring the monitoring room of the monitoring place is finally achieved.
Example two
Referring to fig. 2, a supervision method for monitoring a person on duty according to a second embodiment of the present invention is shown, which can be applied to a supervision device for monitoring a person on duty, where the supervision device for monitoring a person on duty can be implemented by software and/or hardware, and the method specifically includes steps S11 to S16.
And step S11, acquiring a monitoring room video of a monitoring place administered by the monitoring team every preset time.
When the video monitoring system is specifically implemented, the camera can be installed in the monitoring room, the camera shoots the monitoring room to obtain a monitoring room video, and the camera is utilized to carry out video monitoring on the monitoring room. When specifically installing, the camera is preferably installed in the position that can take whole monitor room environment completely, for example the ceiling corner to the camera is preferably wide-angle lens, can effectively avoid the monitor room to have the shooting dead angle like this, thereby avoids follow-up erroneous judgement monitor room unmanned on duty.
The monitoring device for the monitoring person on duty can be a computer device of a monitoring team, such as a monitoring large screen, a computer, a server, and the like of the monitoring team. The supervision equipment of the monitoring personnel on duty can be in wireless communication connection or wired communication connection with the camera, and the wireless communication connection can be in communication connection modes such as Bluetooth, radio frequency, mobile communication networks (such as 5G networks), Zigbee and the like. In step S11, the preset time may be preset, for example, set to 15 minutes, and the camera uploads the monitor room video to the monitoring equipment of the monitoring person on duty every 15 minutes, where it should be noted that the monitor room video uploaded by the camera each time is the latest monitor room video, for example, the first 15 minutes, and the camera uploads the monitor room video shot in a time period of 0 to 15 minutes to the monitoring equipment of the monitoring person on duty; and in the second 15 minutes, the camera uploads the monitoring room videos shot in 15-30 minutes to the monitoring equipment of the monitoring station, so that the monitoring equipment of the monitoring station can receive the monitoring videos of the monitoring room at each moment, omission is avoided, and the monitoring comprehensiveness and reliability of the monitoring room are ensured.
And step S12, performing graying processing on each frame of image of the monitoring room video.
And step S13, performing human shape recognition on each frame of image after the graying processing of the monitoring room video.
It should be noted that, in step S13, it is only necessary to identify whether there is a human-shaped feature in each frame of image of the monitoring room video, and it may not be necessary to count the number of human-shaped features in each frame of image, and so on. Of course, under the condition of abundant processing resources, the number of the human-shaped features in each frame of image can be counted, so that whether a person is on duty in the monitoring room at present or not can be analyzed, and the number of the persons on duty can be analyzed, and the monitoring room can be monitored more comprehensively.
In step S14, it is determined whether or not there is a target frame image in which no human-shaped feature is recognized.
When it is determined that there is a target frame image in which the human-shaped feature is not recognized, representing that the monitoring room is unattended at the time of photographing the target frame image, step S15 is performed; otherwise, the human-shaped characteristics are identified in each frame of image in the video of the monitoring room, and the unattended monitoring room phenomenon does not exist.
Step S15, determining whether the last frame of image of the monitoring room video is the target frame of image.
When the last frame image of the monitoring room video is judged to be the target frame image, executing step S16; and when the last frame image of the monitoring room video is judged not to be the target frame image, representing that the operator on duty has returned to the monitoring room in time, and not operating to continue monitoring.
And step S16, sending the target frame image to the preset personnel terminal of the prison.
The preset personnel terminal can be a mobile terminal, a computer and the like of a supervisor of a monitoring department, and can also be a mobile terminal, a computer and the like of a current person on duty in a monitoring room. The target frame image can be specifically issued to the preset personnel terminal of the monitoring station in the modes of short message, WeChat, mail, APP pushing and the like, so that related personnel can be timely supervised to the post, and accidents caused by long-time unattended operation of a monitoring room are avoided.
The present embodiment is different from the first embodiment in that: 1) before the human shape recognition is carried out on the image, the image is subjected to gray processing, so that the data volume of subsequent image processing is reduced, the processor resource is reduced, the human shape recognition is quicker, and the blocking is avoided; 2) in the embodiment, the relevant personnel are not notified as long as the target frame image is identified, but whether the last frame image of the monitoring room video is also the target frame image is also judged, and when the last frame image of the monitoring room video is also the target frame image, the representative person on duty does not return to the monitoring room until the video is finished, and then the target frame image is issued to the monitored preset personnel terminal to notify the relevant personnel; and when the last frame of image of the video in the monitoring room is not the target frame of image, the representative person goes off duty and then returns to duty (monitoring room) in time, and then the relevant person is not notified.
EXAMPLE III
Referring to fig. 3, a supervision method of a supervision staff on duty in a third embodiment of the present invention is shown, which can be applied to supervision equipment of the supervision staff on duty, where the supervision equipment of the supervision staff on duty can be implemented by software and/or hardware, and the method specifically includes steps S21 to S26.
And step S21, acquiring a monitoring room video of a monitoring place administered by the monitoring team every preset time.
When the video monitoring system is specifically implemented, the camera can be installed in the monitoring room, the camera shoots the monitoring room to obtain a monitoring room video, and the camera is utilized to carry out video monitoring on the monitoring room. When specifically installing, the camera is preferably installed in the position that can take whole monitor room environment completely, for example the ceiling corner to the camera is preferably wide-angle lens, can effectively avoid the monitor room to have the shooting dead angle like this, thereby avoids follow-up erroneous judgement monitor room unmanned on duty.
The monitoring device for the monitoring person on duty can be a computer device of a monitoring team, such as a monitoring large screen, a computer, a server, and the like of the monitoring team. The supervision equipment of the monitoring personnel on duty can be in wireless communication connection or wired communication connection with the camera, and the wireless communication connection can be in communication connection modes such as Bluetooth, radio frequency, mobile communication networks (such as 5G networks), Zigbee and the like. In step S21, the preset time may be preset, for example, set to 15 minutes, and the camera uploads the monitor room video to the monitoring equipment of the monitoring person on duty every 15 minutes, where it should be noted that the monitor room video uploaded by the camera each time is the latest monitor room video, for example, the first 15 minutes, and the camera uploads the monitor room video shot in a time period of 0 to 15 minutes to the monitoring equipment of the monitoring person on duty; and in the second 15 minutes, the camera uploads the monitoring room videos shot in 15-30 minutes to the monitoring equipment of the monitoring station, so that the monitoring equipment of the monitoring station can receive the monitoring videos of the monitoring room at each moment, omission is avoided, and the monitoring comprehensiveness and reliability of the monitoring room are ensured.
And step S22, performing human shape recognition on each frame of image of the monitoring room video.
It should be noted that, in step S22, it is only necessary to identify whether there is a human-shaped feature in each frame of image of the monitoring room video, and it may not be necessary to count the number of human-shaped features in each frame of image, and so on. Of course, under the condition of abundant processing resources, the number of the human-shaped features in each frame of image can be counted, so that whether a person is on duty in the monitoring room at present or not can be analyzed, and the number of the persons on duty can be analyzed, and the monitoring room can be monitored more comprehensively.
In step S23, it is determined whether or not there is a target frame image in which no human-shaped feature is recognized.
When it is determined that there is a target frame image in which no human-shaped feature is recognized, representing that the monitoring room is unattended at the time of capturing the target frame image, steps S24-S26 are performed.
And step S24, sending the target frame image to the preset personnel terminal of the prison.
The preset personnel terminal can be a mobile terminal, a computer and the like of a supervisor of a monitoring department, and can also be a mobile terminal, a computer and the like of a current person on duty in a monitoring room. The target frame image can be specifically issued to the preset personnel terminal of the monitoring station in the modes of short message, WeChat, mail, APP pushing and the like, so that related personnel can be timely supervised to the post, and accidents caused by long-time unattended operation of a monitoring room are avoided.
And step S25, reducing the preset time according to a preset proportion.
And step S26, when the human-shaped characteristics are re-identified from the subsequently acquired video of the monitoring room, restoring the preset time to the initial value.
It should be understood that after the target frame image is sent to the monitored preset personnel terminal, the representative notifies the relevant personnel that the person on duty is off duty. Because the interval between the monitoring room videos uploaded at the front and back is the preset time, in order to prompt the watchman to go back to work as soon as possible, in the embodiment, after the target frame image is sent to the monitored preset person terminal, the preset time is reduced according to the preset proportion, so that the video is uploaded more frequently, for example, the video is uploaded once in 15 minutes before, and the video is uploaded once in 5 minutes after being reduced, so that the monitoring room video is analyzed more frequently, whether the watchman goes back to work or not is analyzed frequently, if the watchman does not go back to work, the target frame image is sent to the monitored preset person terminal again, if the watchman does not go back to work all the time, the preset person terminal receives the target frame image once every 5 minutes (the reduced preset time), so that the watchman is prompted to go back to work more frequently, until the human shape feature is identified again from the videos of the subsequently acquired monitoring room, and when the operator on duty returns to duty, the preset time is restored to the initial value, for example, from 5 minutes to 15 minutes.
In some optional embodiments, the step of sending the target frame image to the preset personnel terminal of the prison specifically includes:
judging whether multiple frames exist in the target frame image or not;
if yes, selecting at least one frame from the target frame images of the plurality of frames according to a preset rule and sending the frame to a preset personnel terminal of the prison;
and if not, issuing the only target frame image to the monitored preset personnel terminal.
That is, when only one frame of image is found to contain no human-shaped features, that is, only one frame of target frame image is found, the frame of target frame image is directly issued to the monitored preset personnel terminal. And if the multi-frame image does not contain the human-shaped features, namely the multi-frame target frame image exists, selecting at least one frame from the multi-frame target frame image according to a preset rule and issuing the selected frame to a monitored preset personnel terminal.
Specifically, the step of selecting at least one frame from a plurality of frames of the target frame images according to a preset rule and issuing the selected frame to the preset personnel terminal of the prison comprises the following steps:
judging whether a plurality of frames of target frame images are continuous in time;
if yes, sending any one frame of the target frame image to a preset personnel terminal of the monitoring place;
if not, dividing the multiple frames of target frame images into multiple image sets, and sending any one target frame image from each image set to a preset personnel terminal of the monitoring station, wherein the target frame images in each image set are continuous in time.
That is, when the multiple target frame images are continuous in time, and the representative person on duty leaves the duty only once in the time period corresponding to the current monitoring room video, one target frame image may be selected and sent to the preset person terminal of the monitoring, for example, the last frame or the most previous frame is selected. If the multi-frame target frame images are discontinuous in time and represent that the person on duty leaves the duty for multiple times in the time period corresponding to the video of the current monitoring room, the multi-frame target frame images are divided into a plurality of image sets, the target frame images in each image set are continuous in time, and then any one target frame image in each image set is sent to a preset person terminal of the monitoring place, so that the related person receives the multi-frame target frame images, and the information that the person on duty leaves the duty for multiple times is indirectly notified to the related person.
In some optional embodiments, the step of sending the target frame image to the preset personnel terminal of the prison includes:
acquiring a work scheduling table of the monitoring room;
determining the current on-duty personnel of the monitoring room according to the time of the target frame image and the work shift schedule; for example, if the time of the target frame image is 1 month, 1 am, 10:00 am, it can be determined from the work shift schedule that the 1 month, 1 am, 10:00 am is specifically who is on duty, so as to determine the current person on duty;
acquiring a preset communication mode of the current on-duty personnel and the supervisor thereof;
and based on the preset communication mode of the current person on duty and the supervisor thereof, the target frame image is issued to the terminals of the current person on duty and the supervisor thereof.
The preset communication mode can be a micro signal, a mobile phone number, a mailbox, an APP account and the like, and the target frame image is sent to the monitored preset personnel terminal in a short message, a micro signal, a mail, an APP push mode and the like.
It should be noted that the above embodiments and technical features thereof may be combined with each other without conflict.
Example four
Another aspect of the present invention further provides a supervision system for monitoring the person on duty in the prison office, referring to fig. 4, which shows a supervision system for monitoring the person on duty in a fourth embodiment of the present invention, and the supervision system can be applied to a supervision device for monitoring the person on duty in the prison office, and the supervision system for monitoring the person on duty includes:
the video acquisition module 11 is configured to acquire a monitoring room video of a monitoring place under the jurisdiction of a monitoring team every preset time, wherein a camera is installed in the monitoring room, and the camera shoots the monitoring room to obtain the monitoring room video;
the human shape recognition module 12 is used for performing human shape recognition on each frame of image of the monitoring room video;
the characteristic judging module 13 is used for judging whether a target frame image with no human-shaped characteristic is identified;
and the image issuing module 14 is configured to issue the target frame image to a preset personnel terminal of the prison when it is determined that the target frame image exists.
Preferably, in some optional embodiments of the present invention, the supervision system for the monitored person on duty further comprises:
and the graying processing module is used for performing graying processing on each frame of image of the monitoring room video.
Preferably, in some optional embodiments of the present invention, the supervision system for the monitored person on duty further comprises:
the last frame judgment module is used for judging whether the last frame image of the monitoring room video is the target frame image; if yes, the image issuing module 14 issues the target frame image to the preset personnel terminal of the prison.
Preferably, in some optional embodiments of the present invention, the supervision system for the monitored person on duty further comprises:
and the time control module is used for reducing the preset time according to a preset proportion and restoring the preset time to an initial value when human-shaped characteristics are re-identified from the subsequently acquired video of the monitoring room.
Preferably, in some optional embodiments of the present invention, the image sending down module 14 specifically includes:
the number judgment unit is used for judging whether multiple frames exist in the target frame image;
the first issuing unit is used for selecting at least one frame from the target frame images of multiple frames according to a preset rule and issuing the selected frame to a preset personnel terminal of the prison when the target frame images of multiple frames are judged to exist;
and the second issuing unit is used for issuing the only target frame image to the preset personnel terminal of the prison when the target frame image is judged to have no multi-frame.
Preferably, in some optional embodiments of the present invention, the first issuing unit is further configured to determine whether a plurality of frames of the target frame image are consecutive in time; if yes, sending any one frame of the target frame image to a preset personnel terminal of the monitoring place; if not, dividing the multiple frames of target frame images into multiple image sets, and sending any one target frame image from each image set to a preset personnel terminal of the monitoring station, wherein the target frame images in each image set are continuous in time.
Preferably, in some optional embodiments of the present invention, the image sending down module 14 specifically includes:
the scheduling list acquiring unit is used for acquiring a work scheduling list of the monitoring room;
the current on-duty person determining unit is used for determining the current on-duty person in the monitoring room according to the time of the target frame image and the work schedule;
the communication mode acquisition unit is used for acquiring the preset communication modes of the current on-duty personnel and the supervisor thereof;
and the third issuing unit is used for issuing the target frame image to the terminals of the current person on duty and the supervisor thereof based on the preset communication mode of the current person on duty and the supervisor thereof.
The functions or operation steps of the modules and units when executed are substantially the same as those of the method embodiments, and are not described herein again.
In summary, the supervision system for the monitoring personnel on duty in the embodiment of the invention automatically identifies whether the monitoring room is unattended or not by human shape analysis based on the image; when the unattended monitoring room is identified, the monitoring room is notified to relevant personnel of the monitoring place, so that the monitoring room of the monitoring place is automatically and remotely monitored, the monitoring efficiency and the intelligent degree are improved, the standard requirement of an intelligent monitoring place is met, the phenomenon of dealing with inspection is thoroughly eliminated, and the effect of effectively monitoring the monitoring room of the monitoring place is finally achieved.
EXAMPLE five
Referring to fig. 5, the monitoring device for monitoring the person on duty according to the fifth embodiment of the present invention includes a memory 20, a processor 10, and a computer program 30 stored in the memory and running on the processor, wherein the processor 10 implements the monitoring method for monitoring the person on duty when executing the computer program 30.
The monitoring device for the monitoring person on duty can be a computer device of a monitoring team, such as a monitoring large screen, a computer, a server, and the like of the monitoring team. The processor 10 may be, in some embodiments, a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor or other data Processing chip for executing program code stored in the memory 20 or Processing data, such as executing access restriction programs.
The memory 20 includes at least one type of readable storage medium, which includes a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The memory 20 may in some embodiments be an internal storage unit of the supervision device of the supervision person on duty, for example a hard disk of the supervision person on duty. The memory 20 may also be an external storage device of the supervisory device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the supervisory device. Further, the memory 20 may also include both an internal storage unit of the supervision apparatus for supervising the person on duty and an external storage device. The memory 20 may be used not only to store application software installed in the supervisory equipment for supervising the person on duty and various kinds of data, but also to temporarily store data that has been output or will be output.
It should be noted that the configuration shown in fig. 5 does not constitute a limitation of the supervisory attendant supervision device, and in other embodiments the supervisory attendant supervision device may include fewer or more components than shown, or some components in combination, or a different arrangement of components.
In summary, the supervision device for the monitoring staff on duty in the above embodiment of the present invention automatically identifies whether the monitoring room is unattended based on the image human figure analysis; when the unattended monitoring room is identified, the monitoring room is notified to relevant personnel of the monitoring place, so that the monitoring room of the monitoring place is automatically and remotely monitored, the monitoring efficiency and the intelligent degree are improved, the standard requirement of an intelligent monitoring place is met, the phenomenon of dealing with inspection is thoroughly eliminated, and the effect of effectively monitoring the monitoring room of the monitoring place is finally achieved.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for supervising the person on duty.
Those of skill in the art will understand that the logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be viewed as implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A supervision method for monitoring personnel on duty, the method comprising:
acquiring a monitoring room video of a monitoring place under the jurisdiction of a monitoring team at preset time intervals, wherein a camera is arranged in the monitoring room and shoots the monitoring room by the camera to obtain the monitoring room video;
identifying the human shape of each frame of image of the monitoring room video;
judging whether a target frame image without human-shaped characteristics is present;
and if so, sending the target frame image to a preset personnel terminal of the prison.
2. The method of supervising a person on duty by a prison as claimed in claim 1, further comprising, prior to the step of performing a human shape recognition on each frame of image of the monitoring room video:
and carrying out gray processing on each frame of image of the monitoring room video.
3. The method as claimed in claim 1, wherein before the step of sending the target frame image to the predetermined staff terminal of the prison, the method further comprises:
judging whether the last frame image of the monitoring room video is the target frame image;
and if so, sending the target frame image to a preset personnel terminal of the prison.
4. The method as claimed in claim 3, further comprising, after the step of sending the target frame image to the predetermined personnel terminal of the prison:
reducing the preset time according to a preset proportion;
and when the human-shaped characteristics are re-identified from the subsequently acquired video of the monitoring room, restoring the preset time to the initial value.
5. The method as claimed in claim 1, wherein the step of sending the target frame image to the predetermined personnel terminal of the prison comprises:
judging whether multiple frames exist in the target frame image or not;
if yes, selecting at least one frame from the target frame images of the plurality of frames according to a preset rule and sending the frame to a preset personnel terminal of the prison;
and if not, issuing the only target frame image to the monitored preset personnel terminal.
6. The method as claimed in claim 5, wherein the step of selecting at least one frame from the plurality of target frame images according to a predetermined rule and sending the selected frame to the predetermined personnel terminal of the prison comprises:
judging whether a plurality of frames of target frame images are continuous in time;
if yes, sending any one frame of the target frame image to a preset personnel terminal of the monitoring place;
if not, dividing the multiple frames of target frame images into multiple image sets, and sending any one target frame image from each image set to a preset personnel terminal of the monitoring station, wherein the target frame images in each image set are continuous in time.
7. The method as claimed in claim 1, wherein the step of sending the target frame image to the predetermined personnel terminal of the prison comprises:
acquiring a work scheduling table of the monitoring room;
determining the current on-duty personnel of the monitoring room according to the time of the target frame image and the work shift schedule;
acquiring a preset communication mode of the current on-duty personnel and the supervisor thereof;
and based on the preset communication mode of the current person on duty and the supervisor thereof, the target frame image is issued to the terminals of the current person on duty and the supervisor thereof.
8. A supervisory system for supervising personnel on duty, the system comprising:
the system comprises a video acquisition module, a monitoring room video acquisition module and a monitoring management module, wherein the video acquisition module is used for acquiring a monitoring room video of a monitoring place under the supervision of a supervision team at intervals of preset time, a camera is arranged in the monitoring room, and the camera shoots the monitoring room to obtain the monitoring room video;
the human shape recognition module is used for recognizing the human shape of each frame of image of the monitoring room video;
the characteristic judging module is used for judging whether a target frame image without human-shaped characteristics is existed or not;
and the image issuing module is used for issuing the target frame image to a preset personnel terminal of the prison when judging that the target frame image exists.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of supervising a person on duty according to any one of claims 1 to 7.
10. A supervisory facility for supervising a person on duty, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor when executing the program implementing the supervisory method for supervising a person on duty as claimed in any one of claims 1 to 7.
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| CN202110121338.2A CN112887678A (en) | 2021-01-28 | 2021-01-28 | Supervision method, system, storage medium and equipment for supervision personnel on duty |
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| CN202110121338.2A CN112887678A (en) | 2021-01-28 | 2021-01-28 | Supervision method, system, storage medium and equipment for supervision personnel on duty |
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Application publication date: 20210601 |