CN111294561A - Video-based online patrol method, electronic device, storage medium and system - Google Patents
Video-based online patrol method, electronic device, storage medium and system Download PDFInfo
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- CN111294561A CN111294561A CN202010099126.4A CN202010099126A CN111294561A CN 111294561 A CN111294561 A CN 111294561A CN 202010099126 A CN202010099126 A CN 202010099126A CN 111294561 A CN111294561 A CN 111294561A
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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
- 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
Abstract
The invention discloses an online patrol method based on videos, which comprises the following steps: receiving video information collected by a plurality of video monitoring devices installed in a patrol area, and receiving positioning information of patrol personnel; comparing the positioning information with a preset planning path to realize the real-time patrol path comparison; acquiring a part related to a key position in a planned path in video information, defining the part of the video information as a task key area video, and comparing the task key area video to realize key area comparison; and when the path comparison or/and the key area comparison does not meet the requirements, the patrol is unqualified. The invention also discloses the electronic equipment, a computer readable storage medium and the video-based online patrol system. According to the invention, online real-time patrol is realized through comparison and analysis of the video information and comparison and analysis of the positioning information, so that the occurrence of events such as missing patrol is avoided.
Description
Technical Field
The invention relates to the technical field of patrol, in particular to a video-based online patrol method, electronic equipment, a storage medium and a system.
Background
The traditional security patrol is realized by adopting an off-line fixed-point card punching technical means, and the patrol result is sent to monitoring equipment, such as a server or a monitoring terminal and the like, only after a patrol person carries out corresponding operation at a fixed position and finishes a patrol task, so that the security patrol is completely independent. The monitoring device only performs corresponding recording or storage according to the received data after finishing the patrol task, and generally does not perform corresponding processing on the data. In the process, data are only passively received off line, so that the behavior of patrolling and missing patrolling cannot be avoided, and meanwhile, no data interaction and data sharing cannot be performed between the data and other system data, so that data bidirectional interaction cannot be performed between the data and a background when a problem is found in the process of patrolling, and safety and production events caused by the fact that the patrolling is not in place are caused.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a video-based online patrol method, electronic equipment, a storage medium and a system, which realize online patrol through comparison and analysis of video information and positioning information, thereby avoiding the occurrence of events such as missed patrol and the like.
In a first aspect, an embodiment of the present invention discloses an online patrol method based on video, which includes the following steps:
receiving video information collected by a plurality of video monitoring devices installed in a patrol area, and receiving positioning information of patrol personnel;
comparing the positioning information with a preset planning path to realize the real-time patrol path comparison;
acquiring a part related to a key position in the planned path in the video information, defining the part of the video information as a task key area video, and comparing the task key area video to realize key area comparison;
and when the path comparison or/and the key area comparison do not meet the requirements, the patrol is unqualified.
In a preferred embodiment, the positioning information is implemented by the plurality of video monitoring devices, the patrol area is divided into a plurality of sub-areas according to the video acquisition areas of the plurality of video monitoring devices, and the specific sub-area where the patrol person is located is determined according to the video information of the patrol person acquired by the specific one or more video monitoring devices.
In a preferred embodiment, the positioning information is used for positioning the intelligent device through the cooperation between the internet of things device and the intelligent device held by the patrol personnel, namely the positioning information of the patrol personnel.
In a preferred embodiment, comparing the positioning information with a preset planned path includes:
acquiring a key position in a planned path, judging whether the key position is covered by positioning information, and if so, comparing the path to meet the requirement;
or forming an actual path by the set of all positioning information, comparing the actual path with the planned path, and if the comparison result is greater than or equal to a preset first threshold, the path comparison meets the requirement.
In a preferred embodiment, comparing the task emphasis region videos includes:
acquiring the time of the video of each task key area, and recording the time as the actual time;
comparing the actual time with a preset time range corresponding to the key position, and judging that the time meets the requirement when the actual time is within the preset time range;
acquiring an action set of the night watchers in the video of each task key area, and recording the action set as an actual action;
comparing the actual action with a preset action corresponding to the key position, and judging that the action meets the requirement when the action comparison result is greater than or equal to a preset second threshold value;
and when the time judgment or/and the action judgment do not meet the requirements, the key area comparison does not meet the requirements.
In a preferred embodiment, the online patrol method further includes:
and receiving the biological characteristic information of the patrol personnel, comparing the biological characteristic information with the pre-stored personnel characteristics, and when the identity comparison does not meet the requirements, the patrol is unqualified.
In a preferred embodiment, the online patrol method further includes:
and constructing a BIM model covering the patrol area, and associating the video information, the positioning information and the related information which is unqualified in patrol with the BIM model.
In a second aspect, an embodiment of the present invention discloses an electronic device, which includes a processor, a storage medium, and a computer program, where the computer program is stored in the storage medium, and when the computer program is executed by the processor, the electronic device implements the video-based online patrol method according to the first aspect of the present invention.
In a third aspect, an embodiment of the present invention discloses a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the video-based online patrol method according to the first aspect of the present invention.
In a fourth aspect, an embodiment of the present invention discloses an online patrol system based on video, which includes:
the system comprises a plurality of video monitoring devices, a monitoring center and a monitoring center, wherein the plurality of video monitoring devices are used for acquiring video information of patrol personnel in a patrol area;
the intelligent terminal is used for receiving the biological characteristic information of the night patrol personnel;
the Internet of things equipment is used for being matched with the intelligent terminal so that the intelligent terminal can obtain the positioning information of the patrol personnel;
the server is used for receiving the video information, the positioning information and the biological characteristic information, comparing the positioning information with a preset planning path and realizing the path comparison of real-time patrol; acquiring a part related to a key position in the planned path in the video information, defining the part of the video information as a task key area video, and comparing the task key area video to realize key area comparison; comparing the biological characteristic information with the pre-stored personnel characteristics; sending out abnormal reminding of missing patrol when the path comparison or/and the key area comparison do not meet the requirements; and when the identity comparison does not meet the requirements, sending an abnormal prompt of the patrol.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the video information obtained by the video monitoring equipment and the obtained positioning information are used for carrying out path comparison (comparison analysis of the positioning information) and key area comparison (comparison analysis of the video information), so that the possibility of missed patrol is prevented, meanwhile, the condition that the time and the action of key patrol points (key areas) cannot meet the requirements can be avoided, and the possibility of the occurrence of the payable patrol is further prevented.
2. Through comparison of the biological characteristic information, the possibility of preventing the occurrence of the substitute night patrol is realized.
3. Through constructing the BIM model, video information, positioning information and related information which is unqualified in patrol are associated with the BIM model, the patrol process can be intuitively simulated and demonstrated, namely AR is introduced to realize reality enhancement application.
Drawings
Fig. 1 is a flowchart of a video-based online patrol method according to a first embodiment of the present invention;
fig. 2 is a block diagram of a video-based online patrol device according to a second embodiment of the present invention;
fig. 3 is a block diagram of an electronic device according to a third embodiment of the present invention;
fig. 4 is a block diagram of a video-based online patrol system according to a fifth embodiment of the present invention.
Detailed Description
The present invention will now be described in more detail with reference to the accompanying drawings, in which the description of the invention is given by way of illustration and not of limitation. The various embodiments may be combined with each other to form other embodiments not shown in the following description.
Example one
The embodiment of the invention discloses an online patrol method based on videos, and please refer to fig. 1, which comprises the following steps:
s110, receiving video information collected by a plurality of video monitoring devices installed in the patrol area, and receiving positioning information of patrol personnel.
Before night watching monitoring begins, the identity of night watching personnel needs to be authenticated, the night watching personnel inputs biological characteristic information through a handheld intelligent terminal, the biological characteristic information can be one or a combination of more of portrait information, face information, fingerprint information, iris information, voice information and the like, the intelligent terminal can be a mobile phone, a night watching detector and other devices, a corresponding software system is arranged on the intelligent terminal, after the biological characteristic information is recorded by entering the software system, the intelligent terminal sends the biological characteristic information or the biological characteristic information to a remote server to perform identity comparison with prestored personnel characteristics so as to judge whether the night watching personnel is the current night watching personnel, when a comparison result reaches a certain threshold value (for example, when the comparison result is performed through similarity comparison, the threshold value can be 0-100%, for example, can be set to 90%), the identity comparison is passed, the patrol personnel are current on duty personnel, the patrol problem does not exist, and then the operation of the specific process of the follow-up patrol is executed, otherwise, the patrol is determined as the patrol instead, the patrol is not performed, and alarm information of the patrol instead can be sent out for warning.
The patrol area is a corresponding patrol place, and in a preferred embodiment of the present invention, is a large place such as a park (residential park, commercial industrial park, logistics park, warehousing park), commercial complex, integrated transportation hub, freight yard, train marshalling station, train freight station, locomotive overhaul marshalling station, airport freight yard, large warehouse logistics park, which generally has the following problems: the night patrol consumes long time and has more night patrol positions, so night patrol personnel can easily generate a missed night patrol motivation; a certain monitoring blind area exists, so that the opportunity of missing patrol and the possibility of dealing with affairs are easily realized for patrol personnel; and a new patrol route can not be established in time or effective two-way communication with patrol personnel can not be realized in the case of an emergency. .
In the first embodiment of the present invention, a plurality of video monitoring devices, such as cameras, cover the patrol area as omnidirectionally as possible, that is, at least one camera at each position can shoot, and video information acquired by the video monitoring devices is used for subsequently judging the operation behavior of the patrol staff.
The device for receiving the video information and the positioning information can be a server or other monitoring devices.
The positioning information is realized in any one of the following modes:
the method comprises the steps that the mode I is realized through the plurality of video monitoring devices, the patrol area is divided into a plurality of sub-areas according to the video acquisition areas of the plurality of video monitoring devices, the specific sub-area where the patrol personnel are located is judged according to the video information of the specific one or more video monitoring devices, if the specific sub-area is acquired by the plurality of video monitoring devices, the specific sub-area is the overlapping area of the plurality of video monitoring devices, and then the position of the patrol personnel is determined.
The second mode is realized by the plurality of video monitoring devices, and the video track analysis algorithm is calculated according to a video track analysis algorithm, and the video track analysis algorithm can be realized by algorithms such as a positioning corresponding relation insertion algorithm of the physical positions of the plurality of (2 or more than 2) video monitoring devices and the spatial positions of actual places, an inter-frame difference method, an optical flow segmentation method, an image matching method (such as feature matching, model matching, frequency domain matching and the like), and the like, in this case, target tracking is realized based on videos, so that the positioning is more accurate.
And the mode III is realized by combining the handheld intelligent terminal with the internet of things equipment. The internet of things equipment includes, but is not limited to, a 5G internet of things, WIFI, radio frequency, bluetooth, ZigBee and the like. The positioning can be realized through the difference algorithm of a plurality of internet of things devices (more than three), or the positioning can be realized through the strength of a signal between the internet of things devices and a certain internet of things device, and the positioning information can be directly sent to the server or sent to the server by the intelligent terminal.
If the positioning information is the positioning information of the whole process, the actual running track (actual path) of the patrol personnel is obtained, and if the positioning information is the set of a plurality of different positioning information, the set forms the actual path of the patrol personnel.
And S120, comparing the positioning information with a preset planning path to realize path comparison.
The planned path is set by the manager according to a specific use scene or related experience, and is stored in the server after being set, and of course, the planned path can be adjusted according to requirements. In some cases, certain parameters may be entered, such as automatically generating a planned path through certain locations. The source of the planned path is not limited here.
The alignment of the paths can be initiated from two aspects:
one is only concerned with whether to reach a key position according to a planned path, namely whether the key position is patrolled, wherein the key position is mainly a key patrolling position, such as an escape passage, a toilet, an equipment installation point, a flammable and explosive area and the like. The key positions are ensured to be patrolled, and various hidden dangers can be avoided to a great extent.
In this case, first obtaining a key position in the planned path, and determining whether the key position is covered by the positioning information, if so, comparing the path to meet the requirement, that is, searching whether the positioning information contains information of the key position, if the key position is located in the positioning information, indicating that the key position is covered, and comparing the path; as long as there is a key position that is not covered by positioning information, the path comparison does not pass. The method for obtaining the key position is generally set by the path planner.
Secondly, in order to avoid potential safety hazards in an all-round manner, an actual path is formed by collecting all positioning information, the actual path is compared with a planned path, if a comparison result is greater than or equal to a preset first threshold, the path comparison meets requirements, the comparison method comprises but is not limited to a similarity meter algorithm and an Euclidean distance calculation method, and if the similarity comparison is adopted, the first threshold can be 0-100%, for example, can be set to 95%; and when the similarity reaches 95%, the tour is performed according to the planned path.
The occurrence of the missed patrol can be avoided by step S120.
S130, acquiring a part of the video information related to a key position in the planned path, defining the part of the video information as a task key area video, and comparing the task key area video to realize key area comparison.
Only avoiding the occurrence of missed patrol is not enough to ensure the quality of patrol, namely, the patrol personnel can patrol according to a patrol route, but the aim of patrol can not be achieved by fully-responsive operation, namely, only arriving at a patrol position and not operating according to patrol operation specifications.
In the preferred embodiment of the invention, the video comparison is performed on the position of the counterweight, that is, the collected video information is compared with the corresponding time and action, when the time is reached, the nature of being not simply payable is indicated, and if the action is reached, the whole process is standard.
Specifically, the time of the video of each task key area is obtained and recorded as actual time;
and comparing the actual time with a preset time range corresponding to the key position, and judging the time to meet the requirement when the actual time is within the preset time range.
Acquiring an action set of the night watchers in the video of each task key area, and recording the action set as an actual action;
comparing the actual action with a preset action corresponding to the key position, and judging that the action meets the requirement when the action comparison result is greater than or equal to a preset second threshold value;
and when the time judgment or/and the action judgment do not meet the requirements, the key area comparison does not meet the requirements.
The approximate time required to make a tour at each location may define a range, and if within this range, it is not a payable tour, or it may be considered that no other unnecessary operations are performed at the key location, and generally the actual time can be greater than the minimum of a preset time range, and it may be considered that the time comparison is passable.
The action comparison is realized based on a template matching method, and the actual action is to regard the task key area video as a group of static attitude images which are connected in series according to the time sequence. The action comparison is compared with a pre-stored key action template (namely a preset action) to judge the action, the comparison process can be similarity comparison, the comparison result is greater than a second threshold, the second threshold can be 0-100%, for example, can be set to 80%, and then the action judgment meets the requirement.
When the time judgment and the action judgment both meet the requirements, the comparison of the key areas meets the requirements.
The intelligent unmanned aerial vehicle patrol system can be used for independent artificial intelligent patrol, can also be used for linking the unmanned aerial vehicle according to a scheduled planned path and applied to outdoor large-scale freight yard, logistics park and storage park according to patrol tracks, can effectively reduce the labor intensity of personnel, and can effectively improve the working efficiency. The key area comparison can ensure the quality of the night patrol, and the identity comparison and the path comparison are combined, so that the night patrol effect and efficiency can be well ensured, and the online night patrol process is realized.
And S140, when the path comparison or/and the key area comparison does not meet the requirements, the patrol is unqualified.
And if one of the path comparison and the key area comparison does not meet the requirement, the patrol is unqualified. And under the condition of being unqualified, corresponding alarm information can be sent out.
In a preferred embodiment of the present invention, a BIM model covering the patrol area may be further constructed (for an environmental location having a BIM model, it is not necessary to construct again), the video information, the positioning information, and the information related to the patrol failure are associated with the BIM model, and the video information, the positioning information, and the patrol failure are imported into the AR to implement the reality augmentation application.
The relevant information includes, but is not limited to, missed patrol point labeling, too short patrol time of a key position, irregular action and the like, and the relevant information can be reminded by flashing red points and the like.
Example two
The second embodiment discloses an online patrol device based on video, which is a virtual device of the online patrol method based on video in the second embodiment, please refer to fig. 2, and it includes:
the receiving module 210 is configured to receive video information acquired by a plurality of video monitoring devices installed in an patrol area, and receive positioning information of patrol personnel;
a path comparison module 220, configured to compare the positioning information with a preset planned path, so as to implement a real-time patrol path comparison;
a key area comparison module 230, configured to obtain a portion of the video information that relates to a key position in the planned path, define the portion of the video information as a task key area video, and compare the task key area video to implement key area comparison;
and the judging module 240 is configured to make a night patrol unqualified when the path comparison or/and the key area comparison do not meet the requirement.
Preferably, the positioning information is obtained by calculating through a video track analysis algorithm; or the positioning information is realized through the matching between the Internet of things equipment and the intelligent equipment held by the patrol personnel to position the intelligent equipment, namely the positioning information of the patrol personnel.
Preferably, comparing the positioning information with a preset planned path includes:
acquiring a key position in a planned path, judging whether the key position is covered by positioning information, and if so, comparing the path to meet the requirement;
or forming an actual path by the set of all positioning information, comparing the actual path with the planned path, and if the comparison result is greater than or equal to a preset first threshold, the path comparison meets the requirement.
Preferably, comparing the task key area videos includes:
acquiring the time of the video of each task key area, and recording the time as the actual time;
comparing the actual time with a preset time range corresponding to the key position, and judging that the time meets the requirement when the actual time is within the preset time range;
acquiring an action set of the night watchers in the video of each task key area, and recording the action set as an actual action;
comparing the actual action with a preset action corresponding to the key position, and judging that the action meets the requirement when the action comparison result is greater than or equal to a preset second threshold value;
and when the time judgment or/and the action judgment do not meet the requirements, the key area comparison does not meet the requirements.
Preferably, the online patrol device further includes: and the identity comparison module is used for receiving the biological characteristic information of the patrol personnel, comparing the biological characteristic information with the prestored personnel characteristics, and when the identity comparison does not meet the requirements, the patrol is unqualified.
Preferably, the online patrol device further includes: and the association module is used for constructing a BIM (building information modeling) model covering the patrol area and associating the video information, the positioning information and the related information which is unqualified in patrol with the BIM model.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention, as shown in fig. 3, the electronic device includes a processor 310, a memory 320, an input device 330, and an output device 340; the number of the processors 310 in the computer device may be one or more, and one processor 310 is taken as an example in fig. 3; the processor 310, the memory 320, the input device 330 and the output device 340 in the electronic apparatus may be connected by a bus or other means, and the connection by the bus is exemplified in fig. 3.
The electronic device may be a server or other monitoring device, and the memory 320 may be a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the video-based online patrol method in the embodiment of the present invention (for example, the receiving module 210, the path comparing module 220, the highlight region comparing module 230, and the determining module 240 in the video-based online patrol apparatus). The processor 310 executes various functional applications and data processing of the electronic device by executing software programs, instructions and modules stored in the memory 320, that is, implements the video-based online patrol method described above.
The memory 320 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 320 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 320 may further include memory located remotely from the processor 310, which may be connected to the electronic device through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 330 can be used for receiving various threshold information, preset information and pre-stored information. The output device 340 may include a display device such as a display screen.
Example four
A fourth embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a video-based online patrol method, the method including:
receiving video information collected by a plurality of video monitoring devices installed in a patrol area, and receiving positioning information of patrol personnel;
comparing the positioning information with a pre-stored planning path to realize path comparison;
acquiring a part related to a key position in the planned path in the video information, defining the part of the video information as a task key area video, and comparing the task key area video to realize key area comparison;
and when the path comparison or/and the key area comparison do not meet the requirements, the patrol is unqualified.
Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the operations of the method described above, and may also perform related operations in the video-based online patrol method provided by any embodiment of the present invention.
EXAMPLE five
The fifth embodiment of the present invention discloses an online patrol system based on video, please refer to fig. 4, which includes:
a plurality of video monitoring devices 410 for collecting video information of the patrol personnel in the patrol area;
the intelligent terminal 420 is used for receiving the biological characteristic information of the night patrol personnel;
the internet of things device 430 is used for being matched with the intelligent terminal so that the intelligent terminal can obtain the positioning information of the patrol personnel;
the server 440 is configured to receive the video information, the positioning information and the biological characteristic information, and compare the positioning information with a pre-stored planned path to implement path comparison; acquiring a part related to a key position in the planned path in the video information, defining the part of the video information as a task key area video, and comparing the task key area video to realize key area comparison; comparing the biological characteristic information with the pre-stored personnel characteristics; sending out abnormal reminding of missing patrol when the path comparison or/and the key area comparison do not meet the requirements; and when the identity comparison does not meet the requirements, sending an abnormal prompt of the patrol.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes instructions for enabling an electronic device (which may be a mobile phone, a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the online patrol based on video, the modules included in the embodiment are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
Various other modifications and changes may be made by those skilled in the art based on the above-described technical solutions and concepts, and all such modifications and changes should fall within the scope of the claims of the present invention.
Claims (10)
1. A video-based online patrol method is characterized by comprising the following steps:
receiving video information collected by a plurality of video monitoring devices installed in a patrol area, and receiving positioning information of patrol personnel;
comparing the positioning information with a preset planning path to realize the path comparison of real-time turn-round patrol;
acquiring a part related to a key position in the planned path in the video information, defining the part of the video information as a task key area video, and comparing the task key area video to realize key area comparison;
and when the path comparison or/and the key area comparison do not meet the requirements, the patrol is unqualified.
2. The video-based online patrol method according to claim 1, wherein the positioning information is calculated by a video trajectory analysis algorithm.
3. The video-based online patrol method according to claim 1, wherein the positioning information is used for positioning the intelligent device through cooperation between the internet of things device and the intelligent device held by the patrol personnel, namely the positioning information of the patrol personnel.
4. The video-based online patrol method according to claim 1, wherein comparing the positioning information with a preset planned path comprises:
acquiring a key position in a planned path, judging whether the key position is covered by positioning information, and if so, comparing the path to meet the requirement;
or forming an actual path by the set of all positioning information, comparing the actual path with the planned path, and if the comparison result is greater than or equal to a preset first threshold, the path comparison meets the requirement.
5. The video-based online patrol method according to claim 1, wherein comparing the task-focus area videos comprises:
acquiring the time of the video of each task key area, and recording the time as the actual time;
comparing the actual time with a preset time range corresponding to the key position, and judging that the time meets the requirement when the actual time is within the preset time range;
acquiring an action set of the night watchers in the video of each task key area, and recording the action set as an actual action;
comparing the actual action with a preset action corresponding to the key position, and judging that the action meets the requirement when the action comparison result is greater than or equal to a preset second threshold value;
and when the time judgment or/and the action judgment do not meet the requirements, the key area comparison does not meet the requirements.
6. The video-based online patrol method according to any one of claims 1-5, wherein the online patrol method further comprises:
and receiving the biological characteristic information of the patrol personnel, comparing the biological characteristic information with the pre-stored personnel characteristics, and when the identity comparison does not meet the requirements, the patrol is unqualified.
7. The video-based online patrol method according to any one of claims 1-5, wherein the online patrol method further comprises:
and constructing a BIM model covering the patrol area, and associating the video information, the positioning information and the related information which is unqualified in patrol with the BIM model.
8. An electronic device comprising a processor, a storage medium, and a computer program stored in the storage medium, wherein the computer program, when executed by the processor, implements the video-based online patrol method according to any one of claims 1-7.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the video-based online patrol method according to any one of claims 1 to 7.
10. A video-based online patrol system, comprising:
the system comprises a plurality of video monitoring devices, a monitoring center and a monitoring center, wherein the plurality of video monitoring devices are used for acquiring video information of patrol personnel in a patrol area;
the intelligent terminal is used for receiving the biological characteristic information of the night patrol personnel;
the Internet of things equipment is used for being matched with the intelligent terminal so that the intelligent terminal can obtain the positioning information of the patrol personnel;
the server is used for receiving the video information, the positioning information and the biological characteristic information, comparing the positioning information with a preset planning path and realizing the path comparison of real-time patrol; acquiring a part related to a key position in the planned path in the video information, defining the part of the video information as a task key area video, and comparing the task key area video to realize key area comparison; comparing the biological characteristic information with the pre-stored personnel characteristics; sending out abnormal reminding of missing patrol when the path comparison or/and the key area comparison do not meet the requirements; and when the identity comparison does not meet the requirements, sending an abnormal prompt of the patrol.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN112203016A (en) * | 2020-09-29 | 2021-01-08 | 北京飞讯数码科技有限公司 | Monitoring processing method, device, equipment and medium for video acquisition equipment |
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| CN112633095A (en) * | 2020-12-14 | 2021-04-09 | 公安部交通管理科学研究所 | Video point location filing information verification method |
| CN113177712A (en) * | 2021-04-29 | 2021-07-27 | 重庆天智慧启科技有限公司 | Intelligent planning system for community patrol |
| CN113723851A (en) * | 2021-09-08 | 2021-11-30 | 成都中科大旗软件股份有限公司 | Electronic patrol method, system, device and medium based on scenic spot |
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| CN112132041A (en) * | 2020-09-24 | 2020-12-25 | 天津锋物科技有限公司 | Community patrol analysis method and system based on computer vision |
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| CN112203016A (en) * | 2020-09-29 | 2021-01-08 | 北京飞讯数码科技有限公司 | Monitoring processing method, device, equipment and medium for video acquisition equipment |
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| CN113177712A (en) * | 2021-04-29 | 2021-07-27 | 重庆天智慧启科技有限公司 | Intelligent planning system for community patrol |
| CN113723851A (en) * | 2021-09-08 | 2021-11-30 | 成都中科大旗软件股份有限公司 | Electronic patrol method, system, device and medium based on scenic spot |
| CN115240289A (en) * | 2022-09-20 | 2022-10-25 | 泰豪信息技术有限公司 | Patrol monitoring method and device for prison patrol personnel, storage medium and electronic equipment |
| CN115240289B (en) * | 2022-09-20 | 2022-12-20 | 泰豪信息技术有限公司 | Patrol monitoring method and device for prison patrol personnel, storage medium and electronic equipment |
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