CN111770306B - Scene monitoring method and device, computer equipment and storage medium - Google Patents
Scene monitoring method and device, computer equipment and storage medium Download PDFInfo
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- CN111770306B CN111770306B CN202010440316.8A CN202010440316A CN111770306B CN 111770306 B CN111770306 B CN 111770306B CN 202010440316 A CN202010440316 A CN 202010440316A CN 111770306 B CN111770306 B CN 111770306B
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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
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B23/00—Alarms responsive to unspecified undesired or abnormal conditions
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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
- H04N7/188—Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position
Abstract
The application relates to a scene monitoring method, a scene monitoring device, computer equipment and a storage medium. The method comprises the following steps: acquiring video information collected by a camera set for an application scene; for video information collected by each camera, calling a video monitoring algorithm correspondingly configured with the camera to perform video monitoring processing on the video information to obtain a video monitoring result; the video monitoring algorithm is at least one of the video monitoring algorithms set in the application scene; correspondingly displaying the video information and the video monitoring result in a scene monitoring interface; when the video monitoring result meets a preset alarm condition, displaying alarm information and an alarm handling entry in the scene monitoring interface; when a trigger operation aiming at the alarm handling entry is received, the abnormal situation in the video information is correspondingly handled. By adopting the method, the abnormal situation in the scene can be timely handled.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for monitoring a scene, a computer device, and a storage medium.
Background
With the development of scientific technology, some monitoring technologies appear, for example, in some scenes (such as shopping malls, parking lots, meeting places or toll stations, etc.), abnormal conditions are often required to be monitored, and the abnormal conditions are found in time, so that normal order in the scenes is maintained.
In the conventional technology, a worker generally observes a video acquired by a camera, and when an abnormal condition is found, the worker arrives at a site to process the abnormal condition. However, it is easy to make mistakes when observing videos manually, and it is troublesome to handle abnormal situations when arriving at the site, and the abnormal situations cannot be handled in time.
Disclosure of Invention
In view of the above, it is necessary to provide a scene monitoring method, an apparatus, a computer device and a storage medium for timely handling an abnormal situation in a scene in order to solve the above technical problems.
A method of scene monitoring, the method comprising:
acquiring video information collected by a camera set for an application scene;
for video information collected by each camera, calling a video monitoring algorithm correspondingly configured with the camera to perform video monitoring processing on the video information to obtain a video monitoring result; the video monitoring algorithm is at least one of the video monitoring algorithms set in the application scene;
correspondingly displaying the video information and the video monitoring result in a scene monitoring interface;
when the video monitoring result meets a preset alarm condition, displaying alarm information and an alarm handling entry in the scene monitoring interface;
when a trigger operation aiming at the alarm handling entry is received, the abnormal situation in the video information is correspondingly handled.
In one embodiment, the scene monitoring interface comprises an application scene switching entry;
the method further comprises the following steps:
when receiving an application scene switching instruction based on the application scene switching entry, determining a switched application scene to which the application scene switching instruction is directed, and returning to execute the video information acquired by the camera set for the application scene and the subsequent steps, so as to replace the video information and the video monitoring result before switching, which are displayed in the scene monitoring interface, with the video information and the video monitoring result corresponding to the switched application scene.
In one embodiment, the when receiving a trigger operation for the alert handling entry, the respectively handling an abnormal situation in the video information includes:
when receiving a trigger operation aiming at a work order issuing entry in the alarm handling entry, displaying a work order issuing page; according to the work order content and the work order issuing object input in the work order issuing page, sending the work order content to equipment corresponding to the work order issuing object;
when receiving a trigger operation aiming at a linkage disposal inlet in the alarm disposal inlets, sending the work order content to equipment corresponding to the work order issuing object according to the work order content and the work order issuing object under the preset linkage disposal condition, and correspondingly controlling the camera according to the camera control mode under the preset linkage disposal condition.
In one embodiment, the method further comprises:
and when the video monitoring result meets a preset automatic alarm linkage condition, sending the work order content to equipment corresponding to a work order issuing object according to the work order content and the work order issuing object under the preset automatic alarm linkage condition, and correspondingly controlling the camera according to a camera control mode under the preset automatic alarm linkage condition.
In one embodiment, the method further comprises:
determining the accuracy of each video monitoring algorithm according to the error condition of the video monitoring result of each video monitoring algorithm in the scene monitoring system;
and sequencing the video monitoring algorithms according to the accuracy of each video monitoring algorithm, and displaying the sequencing result in an algorithm monitoring interface.
In one embodiment, the calling a video monitoring algorithm configured corresponding to the camera to perform video monitoring processing on the video information to obtain a video monitoring result includes:
calling a preset video monitoring algorithm which is configured corresponding to the camera in the computing equipment, and carrying out video monitoring processing on the video information to obtain a video monitoring result; the computing device comprises a front-end computing device and a back-end computing device;
the method further comprises the following steps:
when a triggering operation for a video monitoring algorithm in the sequencing result displayed in the algorithm monitoring interface is received, displaying the input-output ratio of the video monitoring algorithm running in each computing device; the input-output ratio is determined according to the daily average calculation power, the daily average bandwidth, the number of video monitoring results and the accuracy rate of each video monitoring algorithm running in each computing device;
and comparing the input-output ratios of the video monitoring algorithm respectively operated in the front-end computing equipment and the rear-end computing equipment, and outputting a video monitoring algorithm optimization suggestion according to a comparison result.
In one embodiment, before the acquiring video information collected by a camera set for an application scene, the method further includes:
displaying an algorithm configuration interface aiming at an application scene; the algorithm configuration interface comprises an algorithm selection inlet and a camera stream address input inlet;
receiving a current video monitoring algorithm selected at the algorithm selection entry; the current video monitoring algorithm is a video monitoring algorithm to be configured currently in the application scene;
receiving at least one camera stream address which is input at the camera stream address input inlet and corresponds to the current video monitoring algorithm, and correspondingly configuring the current video monitoring algorithm for the camera corresponding to each camera stream address;
and when the triggering operation of the algorithm selection entrance is received, taking the video monitoring algorithm appointed by the triggering operation of the algorithm selection entrance as a new current video monitoring algorithm, and returning to execute the steps of receiving at least one camera stream address which is input at the camera stream address input entrance and corresponds to the current video monitoring algorithm and the subsequent steps until the configuration processing of the video monitoring algorithm in the application scene is completed.
A scene monitoring apparatus, the apparatus comprising:
the video acquisition module is used for acquiring video information acquired by a camera set aiming at an application scene;
the video monitoring module is used for calling a video monitoring algorithm configured corresponding to each camera to perform video monitoring processing on the video information aiming at the video information acquired by each camera to obtain a video monitoring result; the video monitoring algorithm is at least one of the video monitoring algorithms set in the application scene;
the result display module is used for correspondingly displaying the video information and the video monitoring result in a scene monitoring interface;
the alarm generation module is used for displaying alarm information and an alarm handling entry in the scene monitoring interface when the video monitoring result meets a preset alarm condition;
and the alarm handling module is used for correspondingly handling the abnormal condition in the video information when receiving the triggering operation aiming at the alarm handling entrance.
A computer device comprising a memory and a processor, the memory having stored therein a computer program, which, when executed by the processor, causes the processor to perform the steps of the scene monitoring method according to embodiments of the present application.
A computer-readable storage medium, having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of the scene monitoring method according to the embodiments of the present application.
According to the scene monitoring method, the device, the computer equipment and the storage medium, a video monitoring algorithm configured corresponding to the camera is called for video monitoring processing on video information according to the video information collected by each camera set in an application scene, when a video monitoring result meets a preset alarm condition, the alarm information and an alarm processing entry are displayed in a scene monitoring interface, so that abnormal conditions in the scene can be found in time, and when a trigger operation aiming at the alarm processing entry is received, the abnormal conditions in the video information are correspondingly processed, so that the abnormal conditions in the scene can be processed in time.
Drawings
FIG. 1 is a diagram of an exemplary environment in which a method for monitoring a scene may be implemented;
FIG. 2 is a diagram of an application environment of a scene monitoring method in another embodiment;
FIG. 3 is a flow diagram illustrating a method for scene monitoring in one embodiment;
FIG. 4 is a schematic diagram of an algorithm presentation interface of an application scenario in one embodiment;
FIG. 5 is a diagram of a scene monitoring interface in one embodiment;
FIG. 6 is a schematic diagram of an alert linkage configuration interface in one embodiment;
FIG. 7 is a schematic view of an algorithmic monitoring interface in one embodiment;
FIG. 8 is a diagram of an application scenario requirements interface in one embodiment;
FIG. 9 is a schematic diagram of an algorithm configuration interface in one embodiment;
FIG. 10 is a block diagram showing the construction of a scene monitoring apparatus according to an embodiment;
FIG. 11 is a block diagram showing the construction of a scene monitoring apparatus according to another embodiment;
FIG. 12 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The scene monitoring method provided by the application can be applied to the application environment shown in fig. 1. The camera 102 communicates with the back-end computing device 104 through a network, and the back-end computing device 104 communicates with the terminal 106 through the network. The camera 102 captures video information and sends the video information to the back-end computing device 104. The back-end computing device 104 runs a video monitoring algorithm to perform video monitoring processing on the video information, and sends a video monitoring result to the terminal 106. And the terminal 106 displays a scene monitoring interface according to the video monitoring result, and performs alarm and abnormal condition treatment. The number of the cameras 102 may be one or more. The back-end computing device 104 may be implemented as a stand-alone server or as a server cluster of multiple servers. The terminal 106 may be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices.
The scene monitoring method provided by the application can also be applied to the application environment shown in fig. 2. The camera 202 communicates with the intelligent gateway 204 through a network, and the intelligent gateway 204 communicates with the terminal 206 through the network. The camera 202 collects video information and sends the video information to the intelligent gateway 204. The intelligent gateway 204 runs a video monitoring algorithm to perform video monitoring processing on the video information, and sends a video monitoring result to the terminal 206. And the terminal 206 displays a scene monitoring interface according to the video monitoring result, and performs alarm and abnormal condition treatment. The number of the cameras 202 may be one or more. The terminal 206 may be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices.
In an embodiment, as shown in fig. 3, a scene monitoring method is provided, which is described by taking the application of the method to the terminal in fig. 1 as an example, and includes the following steps:
and S302, acquiring video information collected by a camera set for an application scene.
The application scenario is a comprehensive purpose realized by monitoring at least one aspect of a scenario.
In one embodiment, the application scenario may include at least one of smart parking, key personnel, important receptions, blind passing, personnel positioning, smart canteens, civilized cities, security surveillance, campus security, smart conferences, key areas, and equipment surveillance, among others.
In one embodiment, at least one camera may be provided for one application scenario.
As in the scene layer in fig. 4, a plurality of application scenes are schematically illustrated.
S304, calling a video monitoring algorithm configured corresponding to the cameras to perform video monitoring processing on the video information aiming at the video information acquired by each camera to obtain a video monitoring result; the video monitoring algorithm is at least one of video monitoring algorithms set in an application scene.
The video monitoring processing is processing for identifying video information so as to monitor the condition in the video information. The video monitoring algorithm is an algorithm for performing video monitoring processing on video information. The video monitoring result is a result obtained by performing video monitoring processing.
In one embodiment, the video monitoring algorithm may include at least one of license plate recognition, face recognition, abnormal running recognition, smoking behavior recognition, falling recognition, stranger monitoring, litter recognition, crowd behavior recognition, gesture recognition, vehicle boundary crossing recognition, illicit behavior recognition, graffiti recognition, occlusion recognition, retrograde motion recognition, vehicle speed measurement, lost object recognition, traffic recognition, valuables tracking, key item recognition, trash recognition, and river boundary crossing recognition, among others.
In one embodiment, at least one video surveillance algorithm may be configured for one application scenario. Such as: aiming at the application scene of intelligent parking, at least one of video monitoring algorithms such as vehicle speed measurement, vehicle boundary crossing recognition and license plate recognition can be configured. As shown in the algorithm layer shown in fig. 4, a plurality of video monitoring algorithms are schematically shown, and an application scene in the scene layer may correspond to at least one video monitoring algorithm in the configuration algorithm layer. In one embodiment, in the interface shown in fig. 4, when the terminal receives a trigger operation for an application scenario, a configurable video monitoring algorithm corresponding to the application scenario is marked, such as the vehicle speed measurement, vehicle boundary crossing recognition and license plate recognition algorithm marked corresponding to the application scenario of intelligent parking in fig. 4.
In one embodiment, at least one video monitoring algorithm may be invoked for video information collected by the same camera to perform video monitoring processing.
In one embodiment, the video monitoring results may be in the form of data. Such as: the video monitoring result obtained by the video monitoring algorithm for vehicle speed identification can be a numerical value of the vehicle speed. In one embodiment, the video monitoring result may also be in the form of a tag in the video information. Such as: the video monitoring result obtained by the video monitoring algorithm for identifying the falling object can be used for marking the falling object in the video. In other embodiments, the video monitoring result may be in other forms, which are not limited herein.
In one embodiment, the terminal can call a preset video monitoring algorithm configured corresponding to the camera to perform video monitoring processing on the video information, so as to obtain a video monitoring result. In an embodiment, the terminal may also call a video monitoring algorithm preset in other devices and configured corresponding to the camera to perform video monitoring processing on the video information, so as to obtain a video monitoring result.
And S306, correspondingly displaying the video information and the video monitoring result in a scene monitoring interface.
The scene monitoring interface is used for displaying video information and video monitoring results and alarming and handling abnormal conditions in the video information.
FIG. 5 illustrates a scene monitoring interface in one embodiment.
In one embodiment, the terminal may simultaneously display the video information collected by the cameras in a video display area (e.g., the video information area in fig. 5) in the scene monitoring interface. In one embodiment, the terminal may also display only the video information collected by the camera selected in the scene monitoring interface in the video display area in the scene monitoring interface.
In one embodiment, the video information collected by which cameras are shown in the scene monitoring interface and how the video information is arranged can be set in advance.
In one embodiment, when the video monitoring result is in a form of being marked in the video information, the terminal may present the mark corresponding to the video monitoring result in the video information. In one embodiment, when the video monitoring result is in a data form, the terminal may display the data of the video monitoring result in a video monitoring result display area in the scene monitoring interface. As in the monitoring result area in fig. 5, data of three monitoring results of the human monitoring, the bayonet monitoring, and the camera monitoring are shown.
In one embodiment, data of which monitoring results are shown in the monitoring result area as in fig. 5 may be set in advance.
And S308, when the video monitoring result meets the preset alarm condition, displaying alarm information and an alarm handling entry in the scene monitoring interface.
Wherein, the alarm is to give an alarm to abnormal conditions in the video information. The preset alarm condition is a preset condition for alarming when the preset alarm condition is met. The alarm information is information for describing details of an alarm. The alarm handling entry is an entry for handling an alarm.
In one embodiment, the preset alarm condition may be that the data of the video monitoring result reaches a preset alarm threshold (for example, the vehicle speed obtained by the vehicle speed measurement algorithm reaches a preset vehicle speed threshold). In one embodiment, the preset alarm condition may be that the video monitoring algorithm identifies an abnormal behavior (e.g., the smoking behavior identification algorithm identifies smoking behavior). In other embodiments, the preset alarm condition may also be in other forms, which are not limited herein.
In one embodiment, each alarm information may correspond to a respective alarm handling entry. In one embodiment, which of the alert handling entries are shown may be set in advance.
In one embodiment, the alarm handling entry may include a work order issuing entry and a linkage handling entry.
Such as the alarm management area in fig. 5, which illustrates alarm information and alarm handling entries. Wherein, the warning information is the predicted 2 hours … … with insufficient human resources and the predicted 2 hours … … with the predicted freight vehicle number warning. And the issued work order option and the linkage handling option are alarm handling entries.
S310, when the triggering operation aiming at the alarm handling entrance is received, the abnormal situation in the video information is handled correspondingly.
In one embodiment, when a trigger operation for a work order issuing entry in the alarm handling entries is received, the terminal may perform work order issuing processing.
In one embodiment, when a trigger operation for a linkage handling entry in the alarm handling entries is received, the terminal may perform linkage handling according to a preset linkage handling operation mode.
In one embodiment, when the video monitoring result meets the preset automatic alarm linkage condition, the terminal may perform linkage treatment according to a linkage treatment operation mode under the preset automatic alarm linkage condition.
In the scene monitoring method, video monitoring processing is carried out on video information by calling a video monitoring algorithm configured corresponding to the cameras according to the video information acquired by each camera set in an application scene, when a video monitoring result meets a preset alarm condition, the alarm information and an alarm handling entry are displayed in a scene monitoring interface, so that abnormal conditions in the scene can be found in time, and when a trigger operation aiming at the alarm handling entry is received, the abnormal conditions in the video information are correspondingly handled, so that the abnormal conditions in the scene can be handled in time.
In one embodiment, an application scene switching entry is included in the scene monitoring interface. The method also includes the steps of: when receiving an application scene switching instruction based on the application scene switching entrance, determining a switched application scene corresponding to the application scene switching instruction, and returning to execute the video information acquired by the camera set for the application scene and the subsequent steps, so as to replace the video information and the video monitoring result before switching displayed in the scene monitoring interface with the video information and the video monitoring result corresponding to the switched application scene.
The scene switching entry is an entry for switching the application scene displayed in the scene monitoring interface. The application scene switching instruction is an instruction for switching the application scene displayed in the scene monitoring interface.
Specifically, when receiving a trigger operation for an application scene switching entry, the terminal generates an application scene switching instruction and determines a switched application scene to which the application scene switching instruction is directed. The terminal returns to execute the video information acquired by the camera set for the application scene; for the video information collected by each camera, calling a video monitoring algorithm configured corresponding to the camera to perform video monitoring processing on the video information to obtain a video monitoring result; correspondingly displaying the video information and the video monitoring result in a scene monitoring interface; when the video monitoring result meets the preset alarm condition, displaying alarm information and an alarm handling entry in a scene monitoring interface; when a triggering operation for an alarm handling entry is received, corresponding handling is performed on abnormal conditions in the video information (steps S302-S310), so that the video information and the video monitoring result before switching displayed in the scene monitoring interface are replaced by the video information and the video monitoring result corresponding to the application scene after switching.
In one embodiment, the scene cut entry may include at least one of an entry to switch to a previous application scene (e.g., the "previous application" option in fig. 5), an entry to switch to a next application scene (e.g., the "next application" option in fig. 5), and an entry to select an application scene (e.g., the "select application scene" option in fig. 5). When a trigger operation for switching to an entry of a previous application scene is received, the switched application scene to which the application scene switching instruction generated by the terminal is directed is the previous application scene of the current application scene. When a trigger operation for switching to an entrance of a next application scene is received, the switched application scene for which the application scene switching instruction generated by the terminal is directed is the next application scene of the current application scene. When receiving a trigger operation for selecting an entry of an application scene, the terminal may present a plurality of selectable application scenes, and when one of the selectable application scenes is selected, the switched application scene to which the application scene switching instruction generated by the terminal is directed is the selected application scene.
In this embodiment, the monitoring of multiple application scenarios can be realized by switching the application scenarios at the application scenario switching entry.
In one embodiment, step S310 specifically includes the following steps: when receiving a trigger operation aiming at a work order issuing inlet in an alarm handling inlet, displaying a work order issuing page; and sending the work order content to the equipment corresponding to the work order issuing object according to the work order content and the work order issuing object input in the work order issuing page. When receiving a trigger operation aiming at a linkage disposal inlet in the alarm disposal inlet, sending the work order content to equipment corresponding to the work order issuing object according to the work order content and the work order issuing object under the preset linkage disposal condition, and correspondingly controlling the camera according to the camera control mode under the preset linkage disposal condition.
The work order issuing entry is an entry used for issuing the work order under the abnormal condition of the alarm. The work order issuing page is a page used for specifically setting work order issuing operation. The work order content is the detail content in the work order. The work order issuing object is a person to which the work order is issued. The linkage treatment entrance is an entrance for performing linkage treatment according to a preset linkage treatment operation mode. The linkage treatment means that a plurality of treatments are performed simultaneously.
In one embodiment, the work order issuing object may be one or more.
In one embodiment, when a trigger operation for a work order issuing entry in the alarm handling entries is received, the terminal may display a work order issuing page. The work order issuing page can comprise a work order content input entry and a work order issuing object input entry. The terminal can send the work order content input by the user at the work order content input entry to the equipment corresponding to the work order issuing object input by the user at the work order issuing object input entry.
In one embodiment, the linkage handling operation mode may be configured in advance in a manual linkage configuration page (shown after triggering the "manual linkage" option in fig. 6) in the alarm linkage configuration interface shown in fig. 6. Specifically, the work order content and the work order issuing target in the case of the linkage processing, and the camera control method in the case of the linkage processing may be set in advance.
In an embodiment, when receiving a trigger operation for a linkage handling entry in the alarm handling entries, the terminal may generate a linkage handling instruction, respond to the linkage handling instruction, send the work order content to a device corresponding to the work order issuing object according to the work order content and the work order issuing object under a preset linkage handling condition, and correspondingly control the camera according to a camera control mode under the preset linkage handling condition.
In one embodiment, the camera control manner may include at least one of turning on the camera, turning off the camera, controlling the camera to record a video file, and the like. The camera control mode can also indicate which cameras are correspondingly controlled. For example, the control mode of the camera may be "turn on the camera on the right side of the card port No. 13" or "control the camera on the left side of the card port No. 12 to record a video file" or the like.
In one embodiment, the linkage handling operation mode may further include other operation modes, and is not limited to issuing a work order and controlling a camera.
In the embodiment, the corresponding handling is carried out on the abnormal condition in the video information through the work order issuing entry or the linkage handling entry, the operation is convenient, and the abnormal condition can be handled in time.
In one embodiment, the method further comprises the steps of: and when the video monitoring result meets the preset automatic alarm linkage condition, sending the work order content to equipment corresponding to the work order issuing object according to the work order content and the work order issuing object under the preset automatic alarm linkage condition, and correspondingly controlling the camera according to the camera control mode under the preset automatic alarm linkage condition.
The preset automatic alarm linkage condition is a preset condition, and when the condition is met, linkage treatment is automatically carried out.
In an embodiment, the linkage handling operation mode in the case of automatic alarm linkage may be configured in advance in an alarm linkage configuration page (shown after triggering the "automatic alarm linkage" option in fig. 6) in the alarm linkage configuration interface shown in fig. 6. Specifically, the work order content and the work order issuing object under the automatic alarm linkage condition, and the camera control mode under the automatic alarm linkage condition may be preset. It can be understood that fig. 6 is an alarm linkage configuration page displayed after the "automatic alarm linkage" option is triggered, and fig. 6 is a configuration of a linkage handling operation mode of a freight vehicle number algorithm under the automatic alarm linkage condition. In fig. 6, a preset automatic alarm linkage condition (freight vehicle number index in fig. 6) may be set, and work order contents, a work order transmission object, and control methods of the mount device and the camera device may be set.
In one embodiment, when the video monitoring result meets the preset automatic alarm linkage condition, the terminal automatically sends the work order content to the equipment corresponding to the work order issuing object according to the work order content and the work order issuing object under the preset automatic alarm linkage condition, and correspondingly controls the camera according to the camera control mode under the preset automatic alarm linkage condition.
In the embodiment, when the video monitoring result meets the preset automatic alarm linkage condition, the linkage treatment is automatically carried out, so that the hysteresis of manual operation can be avoided, and the abnormal condition is timely treated.
In one embodiment, the method further comprises the steps of: determining the accuracy of each video monitoring algorithm according to the error condition of the video monitoring result of each video monitoring algorithm in the scene monitoring system; and sequencing the video monitoring algorithms according to the accuracy of each video monitoring algorithm, and displaying the sequencing result in an algorithm monitoring interface.
The scene monitoring system is a system for monitoring scenes and comprises at least one video monitoring algorithm. The algorithm monitoring interface is used for monitoring the running condition of the video monitoring algorithm.
It can be understood that the terminal can monitor the operation condition of each video monitoring algorithm in the scene monitoring system, and display the monitoring result in the algorithm monitoring interface.
In one embodiment, the terminal may determine a correct or incorrect condition of a video monitoring result obtained from each operation of each video monitoring algorithm in the scene monitoring system. The terminal determines the correctness of each video monitoring algorithm according to the correctness of the video monitoring result obtained by each operation of each video monitoring algorithm, sorts the video monitoring algorithms according to the correctness of each video monitoring algorithm, and displays the sorted results (algorithm ranks in fig. 7) in the algorithm monitoring interface shown in fig. 7.
In one embodiment, the positive error condition may include the video monitoring result being a correct result, the video monitoring result being an incorrect result, or the video monitoring result being a neutral result. The neutral result indicates that the video monitoring result cannot be identified as correct or wrong.
In this embodiment, the video monitoring algorithms are sorted according to the correctness of the video monitoring results of the video monitoring algorithms, the sorted results are displayed in the algorithm monitoring interface, and the operation conditions of the video monitoring algorithms can be monitored, so that the video monitoring algorithms can be optimized according to the algorithm monitoring results.
In one embodiment, the step of calling a video monitoring algorithm configured corresponding to the camera to perform video monitoring processing on the video information in S304 to obtain a video monitoring result specifically includes the following steps: calling a preset video monitoring algorithm corresponding to the camera in the computing equipment, and carrying out video monitoring processing on the video information to obtain a video monitoring result; the computing devices include a front-end computing device and a back-end computing device. The method also includes the steps of: when a triggering operation aiming at the video monitoring algorithm in the sequencing result displayed in the algorithm monitoring interface is received, displaying the input-output ratio of the video monitoring algorithm in each computing device; the input-output ratio is determined according to the daily average calculation power, daily average bandwidth, the number of video monitoring results and the accuracy of each video monitoring algorithm in each computing device; and comparing the input-output ratios of the video monitoring algorithm respectively operated in the front-end computing equipment and the rear-end computing equipment, and outputting a video monitoring algorithm optimization suggestion according to a comparison result.
The front-end computing equipment runs a video monitoring algorithm on the edge side of the camera to perform video monitoring processing. And the back-end computing equipment is equipment for running a video monitoring algorithm at the far end of the camera to perform video monitoring processing. The input-output Ratio (ROI), is the ratio between the input and output of running the video monitoring algorithm. It can be understood that the daily average computing power and the daily average bandwidth are the input conditions for running the video monitoring algorithm. The number and accuracy of the video monitoring results are the output condition of the running video monitoring algorithm.
In one embodiment, the front-end computing device may be an intelligent gateway or other edge computing device. The back-end computing device can be an independent server or a server cluster consisting of a plurality of servers.
It can be understood that the computing device runs the video monitoring algorithm to perform video monitoring processing, and sends the obtained video monitoring result to the terminal.
In one embodiment, when a trigger operation for a video monitoring algorithm in the sequencing results presented in the algorithm monitoring interface is received, the terminal may present the input-output ratio of the video monitoring algorithm running in each computing device. As shown in fig. 7, that is, when the trigger operation for the vehicle speed measurement algorithm in the sequencing result is received, the condition of the input-output ratio of the vehicle speed measurement algorithm running in each computing device is shown. It can be understood that the plurality of front-end computing devices and the plurality of back-end computing devices may all run the same video monitoring algorithm, and therefore, in practice, the input-output ratio of the plurality of computing devices running the same video monitoring algorithm, respectively, may be shown in the algorithm monitoring interface, and fig. 7 only schematically shows the display condition of the algorithm monitoring interface in the case that one front-end computing device and one back-end computing device run the same video monitoring algorithm.
In one embodiment, the terminal may perform an averaging process according to the input-output ratios of the same video monitoring algorithm running in the front-end computing devices, and determine the input-output ratios of the video monitoring algorithm running in the front-end computing devices. The terminal can perform averaging processing according to the input-output ratio of the same video monitoring algorithm running in each back-end computing device, and determine the input-output ratio of the video monitoring algorithm running in the back-end computing device.
In one embodiment, the terminal may compare the input-output ratios of the video monitoring algorithm respectively run in the front-end computing device and the back-end computing device. When the input-output ratio running in the front-end computing device is larger than the input-output ratio running in the back-end computing device, the terminal outputs a suggestion that the video monitoring algorithm is upgraded from the back-end computing device to the front-end computing device. When the input-output ratio running in the back-end computing device is larger than the input-output ratio running in the front-end computing device, the terminal outputs a suggestion for upgrading the video monitoring algorithm from the front-end computing device to the back-end computing device.
In one embodiment, the terminal may present the video monitoring algorithm optimization suggestions in an algorithm monitoring interface (e.g., the intelligent suggestions in fig. 7). In one embodiment, the terminal may also broadcast the video surveillance algorithm optimization recommendation in the form of voice.
In this embodiment, the video monitoring algorithm optimization suggestion is output according to the comparison result of the input-output ratio of the video monitoring algorithm respectively running in the front-end computing device and the back-end computing device, so that the video monitoring algorithm can be optimized in time.
In one embodiment, before step S302, the method further comprises the steps of: displaying an algorithm configuration interface aiming at an application scene; the algorithm configuration interface comprises an algorithm selection inlet and a camera stream address input inlet; receiving a current video monitoring algorithm selected at an algorithm selection entry; the current video monitoring algorithm is a video monitoring algorithm to be configured currently in an application scene; receiving at least one camera stream address which is input at a camera stream address input inlet and corresponds to a current video monitoring algorithm, and correspondingly configuring the current video monitoring algorithm for a camera corresponding to each camera stream address; and when the triggering operation of the algorithm selection inlet is received, taking the video monitoring algorithm appointed by the triggering operation of the algorithm selection inlet as a new current video monitoring algorithm, and returning to execute the steps of receiving at least one camera stream address which is input at the camera stream address input inlet and corresponds to the current video monitoring algorithm and the subsequent steps until the configuration processing of the video monitoring algorithm in the application scene is completed.
The algorithm configuration interface is an interface used for configuring a video monitoring algorithm for an application scene. The algorithm selection entry is an entry for selecting a video monitoring algorithm configured for an application scene. The camera stream address input entry is an entry for inputting a stream address of a camera corresponding to the selected video monitoring algorithm. The camera stream address is an RTSP (Real Time Streaming Protocol) address of the camera.
In one embodiment, the terminal may receive the application scenario requirements and present the application scenario requirements in an application scenario requirements interface (as shown in fig. 8). The application scene requirements may include names of cameras that need to be configured in a required application scene, stream addresses of the cameras that need to be configured, and video monitoring algorithms that need to be configured correspondingly for the cameras that need to be configured. When the terminal receives an algorithm configuration entry (the option of "de-configuration algorithm" in fig. 8) in the application scene requirement interface, the algorithm configuration interface shown in fig. 9 is displayed, and the configuration of the video monitoring algorithm and the camera is performed on the required application scene based on the algorithm configuration interface.
In one embodiment, when the triggering operation of the algorithm selection entry is received, the terminal takes the video monitoring algorithm specified by the triggering operation of the algorithm selection entry as the new current video monitoring algorithm. As shown in fig. 9, the terminal may display schematic images of the current video monitoring algorithm at the algorithm selection entry (it may be understood that the schematic images of the current video monitoring algorithm may be displayed clearly, and the schematic images of the other video monitoring algorithms are not selected, so that the other video monitoring algorithms may be displayed in a blurred or color-reduced form at both sides of the current video monitoring algorithm, as shown in fig. 9), the user may switch the current video monitoring algorithm by clicking an "previous" or "next" option in the algorithm selection entry, the switched video monitoring algorithm is the new current video monitoring algorithm, and the freight car number identification algorithm shown in fig. 9 is the current video monitoring algorithm. In another embodiment, the user may also select the current video surveillance algorithm by selecting the name of the video surveillance algorithm in the algorithm selection entry.
In one embodiment, the terminal may present a camera stream address entry below the schematic image of the currently to be configured video surveillance algorithm being presented. The user may input at least one camera stream address corresponding to the current video surveillance algorithm at the camera stream address input entry.
In one embodiment, the terminal may receive a user manually entering a camera stream address. In one embodiment, the terminal may also import the camera stream address from the table file.
It can be understood that each time a new current video monitoring algorithm is selected at the algorithm selection entry, the new current video monitoring algorithm is configured with the camera until the configuration processing of each video monitoring algorithm in the application scene is completed. Namely, the configuration of at least one video monitoring algorithm in an application scene is completed, and each video monitoring algorithm is correspondingly configured with at least one camera.
In the embodiment, the video monitoring algorithm and the camera in the application scene are configured, so that the scene monitoring can be performed in multiple aspects, and abnormal conditions can be found in time.
It should be understood that, although the steps in the flowchart of fig. 3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 3 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
In one embodiment, as shown in fig. 10, there is provided a scene monitoring apparatus 1000, including: the system comprises a video acquisition module 1002, a video monitoring module 1004, a result display module 1006, an alarm generation module 1008 and an alarm handling module 1010, wherein:
the video obtaining module 1002 is configured to obtain video information collected by a camera set for an application scene.
The video monitoring module 1004 is used for calling a video monitoring algorithm configured corresponding to each camera to perform video monitoring processing on the video information according to the video information acquired by each camera, so as to obtain a video monitoring result; the video monitoring algorithm is at least one of video monitoring algorithms set in an application scene.
And the result displaying module 1006 is configured to correspondingly display the video information and the video monitoring result in the scene monitoring interface.
And an alarm generating module 1008, configured to display alarm information and an alarm handling entry in the scene monitoring interface when the video monitoring result meets a preset alarm condition.
And the alarm handling module 1010 is configured to, when a trigger operation for the alarm handling entry is received, correspondingly handle an abnormal condition in the video information.
In one embodiment, an application scene switching entry is included in the scene monitoring interface. The scene monitoring apparatus 1000 further includes:
the application scene switching module 1012 is configured to determine a switched application scene to which the application scene switching instruction is directed when receiving the application scene switching instruction based on the application scene switching entry, and return to execute the steps of obtaining video information acquired by a camera set for the application scene and performing the subsequent steps, so as to replace the video information and the video monitoring result before switching, which are displayed in the scene monitoring interface, with the video information and the video monitoring result corresponding to the switched application scene.
In one embodiment, the alarm handling module 1010 is further configured to display a work order issue page when a trigger operation for a work order issue entry in the alarm handling entries is received; according to the work order content and the work order issuing object input in the work order issuing page, sending the work order content to equipment corresponding to the work order issuing object; when receiving a trigger operation aiming at a linkage disposal inlet in the alarm disposal inlet, sending the work order content to equipment corresponding to the work order issuing object according to the work order content and the work order issuing object under the preset linkage disposal condition, and correspondingly controlling the camera according to the camera control mode under the preset linkage disposal condition.
In an embodiment, the alarm handling module 1010 is further configured to, when the video monitoring result meets a preset automatic alarm linkage condition, send the work order content to the device corresponding to the work order delivery object according to the work order content and the work order delivery object under the preset automatic alarm linkage condition, and correspondingly control the camera according to a camera control mode under the preset automatic alarm linkage condition.
In one embodiment, the scene monitoring apparatus 1000 further includes:
the algorithm monitoring module 1014 is used for determining the accuracy of each video monitoring algorithm according to the error condition of the video monitoring result of each video monitoring algorithm in the scene monitoring system; and sequencing the video monitoring algorithms according to the accuracy of each video monitoring algorithm, and displaying the sequencing result in an algorithm monitoring interface.
In one embodiment, the video monitoring module 1004 is further configured to invoke a preset video monitoring algorithm configured in the computing device corresponding to the camera, and perform video monitoring processing on the video information to obtain a video monitoring result; the computing devices include a front-end computing device and a back-end computing device.
In one embodiment, the algorithm monitoring module 1014 is further configured to, when receiving a trigger operation for a video monitoring algorithm in the ranking results presented in the algorithm monitoring interface, present an input-output ratio at which the video monitoring algorithm is running in each computing device; the input-output ratio is determined according to the daily average calculation power, daily average bandwidth, the number of video monitoring results and the accuracy of each video monitoring algorithm in each computing device; and comparing the input-output ratios of the video monitoring algorithm respectively operated in the front-end computing equipment and the rear-end computing equipment, and outputting a video monitoring algorithm optimization suggestion according to a comparison result.
In one embodiment, as shown in fig. 11, the scene monitoring apparatus 1000 further includes:
an algorithm configuration interface 1016 for presenting an algorithm configuration interface for an application scenario; the algorithm configuration interface comprises an algorithm selection inlet and a camera stream address input inlet; receiving a current video monitoring algorithm selected at an algorithm selection entry; the current video monitoring algorithm is a video monitoring algorithm to be configured currently in an application scene; receiving at least one camera stream address which is input at a camera stream address input inlet and corresponds to a current video monitoring algorithm, and correspondingly configuring the current video monitoring algorithm for a camera corresponding to each camera stream address; and when the triggering operation of the algorithm selection inlet is received, taking the video monitoring algorithm appointed by the triggering operation of the algorithm selection inlet as a new current video monitoring algorithm, and returning to execute the steps of receiving at least one camera stream address which is input at the camera stream address input inlet and corresponds to the current video monitoring algorithm and the subsequent steps until the configuration processing of the video monitoring algorithm in the application scene is completed.
In the scene monitoring device, video information collected by each camera set for an application scene is called, a video monitoring algorithm configured corresponding to the camera is called to perform video monitoring processing on the video information, when a video monitoring result meets a preset alarm condition, alarm information and an alarm disposal entry are displayed in a scene monitoring interface, so that abnormal conditions in the scene can be found in time, when a trigger operation aiming at the alarm disposal entry is received, the abnormal conditions in the video information are disposed correspondingly, and therefore the abnormal conditions in the scene can be disposed in time.
For the specific definition of the scene monitoring apparatus, reference may be made to the above definition of the scene monitoring method, which is not described herein again. The modules in the scene monitoring device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 12. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of scene monitoring. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 12 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is further provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method embodiments when executing the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for scene monitoring, the method comprising:
acquiring video information collected by a camera set for an application scene;
for the video information collected by each camera, calling a preset video monitoring algorithm corresponding to the camera in computing equipment to perform video monitoring processing on the video information to obtain a video monitoring result; the video monitoring algorithm is at least one of the video monitoring algorithms set in the application scene; correspondingly displaying the video information and the video monitoring result in a scene monitoring interface;
when the video monitoring result meets a preset alarm condition, displaying alarm information and an alarm handling entry in the scene monitoring interface;
when a trigger operation aiming at the alarm handling entry is received, correspondingly handling the abnormal condition in the video information;
determining the correct rate of each video monitoring algorithm according to the correct and wrong condition of the video monitoring result of each video monitoring algorithm in a scene monitoring system, sequencing the video monitoring algorithms according to the correct rate of each video monitoring algorithm, and displaying the sequencing result in an algorithm monitoring interface;
when a triggering operation for a video monitoring algorithm in the sequencing result displayed in the algorithm monitoring interface is received, displaying the input-output ratio of the video monitoring algorithm running in each computing device; the input-output ratio is determined according to the daily average calculation power, the daily average bandwidth, the number of video monitoring results and the accuracy rate of each video monitoring algorithm running in each computing device; the computing device comprises a front-end computing device and a back-end computing device;
and comparing the input-output ratios of the video monitoring algorithm respectively operated in the front-end computing equipment and the rear-end computing equipment, and outputting a video monitoring algorithm optimization suggestion according to a comparison result.
2. The method according to claim 1, wherein the scene monitoring interface comprises an application scene switching entry;
the method further comprises the following steps:
when receiving an application scene switching instruction based on the application scene switching entry, determining a switched application scene to which the application scene switching instruction is directed, and returning to execute the video information acquired by the camera set for the application scene and the subsequent steps, so as to replace the video information and the video monitoring result before switching, which are displayed in the scene monitoring interface, with the video information and the video monitoring result corresponding to the switched application scene.
3. The method of claim 1, wherein the handling of the abnormal situation in the video information when the trigger operation for the alert handling entry is received comprises:
when receiving a trigger operation aiming at a work order issuing entry in the alarm handling entry, displaying a work order issuing page; according to the work order content and the work order issuing object input in the work order issuing page, sending the work order content to equipment corresponding to the work order issuing object;
when receiving a trigger operation aiming at a linkage disposal inlet in the alarm disposal inlets, sending the work order content to equipment corresponding to the work order issuing object according to the work order content and the work order issuing object under the preset linkage disposal condition, and correspondingly controlling the camera according to the camera control mode under the preset linkage disposal condition.
4. The method of claim 1, further comprising:
and when the video monitoring result meets a preset automatic alarm linkage condition, sending the work order content to equipment corresponding to a work order issuing object according to the work order content and the work order issuing object under the preset automatic alarm linkage condition, and correspondingly controlling the camera according to a camera control mode under the preset automatic alarm linkage condition.
5. The method according to claim 1, wherein the alarm information is information for describing details of an alarm.
6. The method of claim 1, wherein the alert handling portal is a portal for handling alerts.
7. The method of claim 1, wherein prior to said obtaining video information captured by a camera set for an application scene, the method further comprises:
displaying an algorithm configuration interface aiming at an application scene; the algorithm configuration interface comprises an algorithm selection inlet and a camera stream address input inlet;
receiving a current video monitoring algorithm selected at the algorithm selection entry; the current video monitoring algorithm is a video monitoring algorithm to be configured currently in the application scene;
receiving at least one camera stream address which is input at the camera stream address input inlet and corresponds to the current video monitoring algorithm, and correspondingly configuring the current video monitoring algorithm for the camera corresponding to each camera stream address;
and when the triggering operation of the algorithm selection entrance is received, taking the video monitoring algorithm appointed by the triggering operation of the algorithm selection entrance as a new current video monitoring algorithm, and returning to execute the steps of receiving at least one camera stream address which is input at the camera stream address input entrance and corresponds to the current video monitoring algorithm and the subsequent steps until the configuration processing of the video monitoring algorithm in the application scene is completed.
8. A scene monitoring apparatus, characterized in that the apparatus comprises:
the video acquisition module is used for acquiring video information acquired by a camera set aiming at an application scene;
the video monitoring module is used for calling a video monitoring algorithm which is preset in computing equipment and is configured corresponding to the cameras to carry out video monitoring processing on the video information aiming at the video information acquired by each camera so as to obtain a video monitoring result; the video monitoring algorithm is at least one of the video monitoring algorithms set in the application scene;
the result display module is used for correspondingly displaying the video information and the video monitoring result in a scene monitoring interface;
the alarm generation module is used for displaying alarm information and an alarm handling entry in the scene monitoring interface when the video monitoring result meets a preset alarm condition;
the alarm handling module is used for correspondingly handling the abnormal condition in the video information when receiving the triggering operation aiming at the alarm handling entrance;
the algorithm monitoring module is used for determining the accuracy of each video monitoring algorithm according to the error condition of the video monitoring result of each video monitoring algorithm in the scene monitoring system; sequencing the video monitoring algorithms according to the accuracy of each video monitoring algorithm, and displaying the sequencing result in an algorithm monitoring interface; when a triggering operation for a video monitoring algorithm in the sequencing result displayed in the algorithm monitoring interface is received, displaying the input-output ratio of the video monitoring algorithm running in each computing device; the input-output ratio is determined according to the daily average calculation power, the daily average bandwidth, the number of video monitoring results and the accuracy rate of each video monitoring algorithm running in each computing device; the computing device comprises a front-end computing device and a back-end computing device; and comparing the input-output ratios of the video monitoring algorithm respectively operated in the front-end computing equipment and the rear-end computing equipment, and outputting a video monitoring algorithm optimization suggestion according to a comparison result.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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