CN114697605A

CN114697605A - Video dynamic acquisition method, device and system, image acquisition equipment and medium

Info

Publication number: CN114697605A
Application number: CN202011562906.4A
Authority: CN
Inventors: 刘备
Original assignee: Lumi United Technology Co Ltd
Current assignee: Lumi United Technology Co Ltd
Priority date: 2020-12-25
Filing date: 2020-12-25
Publication date: 2022-07-01

Abstract

The embodiment of the application provides a video dynamic acquisition method, a video dynamic acquisition device, a video dynamic acquisition system, an image acquisition device and a computer storage medium, wherein the method comprises the following steps: starting video acquisition under the condition of determining that a trigger event is received, and determining acquisition termination time according to the type of the trigger event; in the video acquisition process, under the condition of receiving a newly added trigger event, updating the acquisition termination time according to the type of the newly added trigger event. The image acquisition equipment can intelligently start recording based on the trigger event and dynamically adjust the recording duration, and under the condition of no trigger event, the image acquisition equipment can be in a dormant state, so that the energy consumption can be greatly reduced; and the collected videos are all collected based on the triggering event, the collection duration is matched with the type of the triggering event, so that the obtained monitoring data are all effective data, a user can conveniently and quickly find the required video data for analysis and utilization, and the data utilization rate is improved.

Description

Video dynamic acquisition method, device and system, image acquisition equipment and medium

Technical Field

The present application relates to the field of video capture technologies, and in particular, to a method, an apparatus, a system, an image capture device, and a medium for dynamic video capture.

Background

With the rise of the smart home industry, as the infrastructure of the internet is more and more perfect, the development speed of the internet of things is faster and faster, various smart devices enter thousands of households from a large-scale infrastructure project, and the security and reliability of the smart home are more and more important. Monitoring is used as an important ring in security systems, and the application of the monitoring is increasingly wide.

At present, a security system needs to be kept in a normally open state generally by collecting monitoring data through a camera, energy consumption is very high, recording of monitoring pictures is also generally carried out for a fixed time, and the difficulty that a user needs to screen out required data from the monitoring data is large, so that the data utilization rate is low.

Disclosure of Invention

In order to solve the existing technical problems, the application provides a video dynamic acquisition method, a device, a system, an image acquisition device and a computer readable storage medium, wherein the video dynamic acquisition method can be started based on event triggering and can dynamically adjust the recording duration.

In order to achieve the above purpose, the technical solution of the embodiment of the present application is implemented as follows:

in a first aspect, an embodiment of the present application provides a dynamic video acquisition method, which is applied to an image acquisition device, and includes:

starting video acquisition under the condition of determining that a trigger event is received, and determining acquisition termination time according to the type of the trigger event;

in the video acquisition process, under the condition of receiving a newly added trigger event, updating the acquisition termination time according to the type of the newly added trigger event.

In a second aspect, an embodiment of the present application provides a method for dynamically acquiring a video, which is applied to an image acquisition system, and includes:

triggering equipment to acquire event data and sending the event data to image acquisition equipment;

the method comprises the steps that under the condition that the image acquisition equipment determines that a trigger event is received, video acquisition is started, and acquisition termination time is determined according to the type of the trigger event; in the video acquisition process, under the condition of receiving a newly added trigger event, updating the acquisition termination time according to the type of the newly added trigger event.

In a third aspect, an embodiment of the present application provides a dynamic video capture device, including:

the starting module is used for starting video acquisition under the condition of determining that a trigger event is received and determining acquisition termination time according to the type of the trigger event;

and the adjusting module is used for updating the acquisition termination time according to the type of the newly added trigger event when the newly added trigger event is received in the video acquisition process.

In a fourth aspect, an embodiment of the present application provides an image capturing device, including a controller, a memory, an image capturing module and a communication module, where the image capturing module is configured to capture a video, the communication module is configured to perform data communication with a cloud server and a trigger device, and the memory stores a computer program, and when the computer program is executed by the controller, the dynamic video capturing method applied to the image capturing device according to any embodiment of the present application is implemented.

In a fifth aspect, an embodiment of the present application provides a dynamic video acquisition system, which includes a trigger device and an image acquisition device in an embodiment of the present application, where the trigger device is configured to acquire event data and send the event data to the image acquisition device.

In a sixth aspect, the present application provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the video dynamic capture method applied to an image capture device according to any embodiment of the present application.

According to the dynamic video acquisition method, the dynamic video acquisition device, the dynamic video acquisition system, the dynamic video acquisition equipment and the computer-readable storage medium, the dynamic video acquisition equipment starts video acquisition under the condition that the image acquisition equipment determines to receive the trigger event, determines to acquire the terminal event according to the type of the trigger event, and updates the acquisition termination time according to the type of the newly added trigger event under the condition that the newly added trigger event is received in the acquisition process, so that the image acquisition equipment can intelligently start recording based on the trigger event and dynamically adjust the recording duration, and under the condition that no trigger event exists, the image acquisition equipment can be in a dormant state, so that the energy consumption can be greatly reduced; and the collected videos are all collected based on the triggering event, the collection duration is matched with the type of the triggering event, so that the obtained monitoring data are all effective data, a user can conveniently and quickly find the required video data for analysis and utilization, and the data utilization rate is improved.

Drawings

Fig. 1 is a schematic view of an optional application scenario of a video dynamic acquisition method in an embodiment of the present application;

FIG. 2 is a schematic structural diagram of an image capturing device in an embodiment of the present application;

FIG. 3 is a flowchart illustrating a method for dynamically capturing video according to an embodiment of the present disclosure;

FIG. 4 is a flowchart of a video dynamic capture method according to another embodiment of the present application;

FIG. 5 is a flow chart of a method for dynamic video capture in an alternative embodiment of the present application;

FIG. 6 is a flow chart of a method for dynamic video acquisition in another alternative embodiment of the present application

Fig. 7 is a schematic diagram of a video dynamic capture device according to an embodiment of the present application;

FIG. 8 is a schematic structural diagram of an image capturing device according to another embodiment of the present application;

fig. 9 is a schematic structural diagram of an image capturing device according to another embodiment of the present application.

Detailed Description

The technical solution of the present application is further described in detail with reference to the drawings and specific embodiments of the specification.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of implementations of the present application. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

In the description of the present application, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the present application and simplifying the description, but do not indicate or imply that the referred device or element must have a particular orientation, be constructed in a particular orientation, and be operated, and thus should not be construed as limiting the present application. In the description of the present application, "a plurality" means two or more unless otherwise specified.

In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in this application will be understood to be a specific case for those of ordinary skill in the art.

Please refer to fig. 1, which is a block diagram of an internet of things system in an optional application scenario of the video dynamic acquisition method according to the embodiment of the present application. The internet of things system comprises a cloud server 52, a terminal device 51, a router 53, an image acquisition device 10, a trigger device 20 and the like. The terminal device 51 may be any device having communication and storage functions, such as: the smart phone, the desktop computer, the notebook computer, the tablet computer or other smart communication devices with network connection functions. The cloud server 52 may be a network access server, a database server, a cloud server, and the like. Optionally, the router 53 may be constructed based on a ZigBee protocol, and the image capturing device 10 may be a device added to the router 53 in advance, for example, the image capturing device 10 may be a device in a suite to which the gateway device belongs when the router 53 leaves a factory; or a device subsequently connected to the router 53 by a user operation. The trigger device 20 is configured to acquire dynamic parameters of the target object and dynamic parameters of the surrounding environment, and send the parameters to the image acquisition device 10.

Optionally, a client for managing the image capturing device 10 is installed in the terminal device 51, where the client may be an application client (e.g. a mobile phone APP) or a web page client, and is not limited herein.

Optionally, the image capturing device 10 may establish a network connection with the router 53 based on the ZigBee protocol, so as to join the ZigBee network. The triggering device 20 and said image acquisition device 10 are under the same router 53. As an optional specific implementation manner, a user installs a corresponding APP on a mobile phone, first adds at least one gateway device on the APP, and then when adding another sub device (such as the image acquisition device 10), clicks a sub device adding button in an APP interface, selects a gateway device to which the sub device needs to access on the adding interface, and can add a ZigBee network corresponding to the gateway to form a ZigBee local area network together with the other added sub devices and the gateway.

The image acquisition device 10, the terminal device 51 and the trigger device 20 can all access to the ethernet through the router 53, and the router 53 can access to the cloud through wired or wireless communication connection. For example, the image capture device 10 and the terminal device 51 may store the acquired information in the cloud server 52. Optionally, the terminal device 51 may also establish a network connection with the cloud server 52 in a manner of 2G/3G/4G/5G, WiFi, so as to obtain data sent by the cloud server 52.

Optionally, the terminal device 51, the router 53 and the image capturing device 10 may be in the same local area network, or may be in the same wide area network as the cloud server 52. When the terminal device 51 and the router 53 are in the same local area network, the terminal device 51 may interact with the router 53 and the image capturing device 10 connected to the router 53 through a local area network path; it is also possible to interact with the router 53 and the image capturing device 10 connected to said router 53 via a wide area network path. When the terminal device 51 is not in the same local area network as the router 53, the terminal device 51 may interact with the router 53 and the image capture device 10 connected to the router 53 through a wide area network path.

The image capturing device 10 may be a camera with gateway functionality. Referring to fig. 2, a schematic structural diagram of an image capturing device 10 includes a main controller 11, an image capturing sensor 12 connected to the main controller 11, a Flash memory 13, an SD card memory 14, and a wireless communication module. The wireless communication module may include a wifi module 15 and a Zigbee module 16. The trigger device 20 is configured to detect a state change parameter and/or an environmental dynamic parameter of the target object, so as to determine the occurrence of the trigger event according to the state change parameter and/or the environmental dynamic parameter of the surrounding of the target object. The triggering device 20 may include a door sensor, a body sensor, etc.

Referring to fig. 3, a video dynamic capturing method according to an embodiment of the present application is applicable to the image capturing apparatus shown in fig. 1. The video dynamic acquisition method comprises but is not limited to the following steps, which are specifically introduced as follows:

s101, under the condition that a trigger event is determined to be received, video acquisition is started, and acquisition termination time is determined according to the type of the trigger event.

The triggering event refers to a predefined condition for triggering the image capturing device to start video capturing. If the image acquisition equipment is a camera of the intelligent door lock for monitoring the safety of the door, when a lock picking event occurs, the camera needs to be opened to acquire monitoring data, and the lock picking event is a trigger event for triggering the camera of the intelligent door lock to open video acquisition. The trigger event may be one or more.

The judgment rule of the trigger event can be preset. In an optional embodiment, the judgment rule of the trigger event is composed of a corresponding relationship between the trigger event and a state change parameter of the target object and/or an environmental dynamic parameter around the target object, the image capturing device obtains the state change parameter and/or the environmental dynamic parameter, and analyzes the state change parameter and/or the environmental dynamic parameter according to the judgment rule to determine whether the trigger event occurs, for example, the judgment rule may be: when the acquired state change parameter indicates that the door lock body is violently damaged, the state change parameter is a lock picking event; when the acquired state change parameter is that the handle rotates before the door lock does not acquire the unlocking password and the acquired environment dynamic parameter is that someone stays for more than a preset time, the door lock is an illegal entry attempt event; when the acquired environment dynamic parameter is that a person stays for a long time or the acquired environment dynamic parameter is that the person lingers for a long time, the environment dynamic parameter is a stranger visit event; when the acquired state change parameters indicate that the pulling times of the doorbell in a set time period exceed a preset value, the doorbell is an emergency visit event; when the obtained environment dynamic parameters are that someone approaches, the obtained environment dynamic parameters are a person visiting event and the like, wherein a lock picking event, an illegal entrance attempt event, a stranger visiting event, an emergency access event and a person visiting event can be used as trigger events for triggering the image acquisition equipment to start video acquisition.

The types of different trigger events may correspond to different acquisition durations, respectively. The type of the trigger event can be set according to the needs of the user, for example, the trigger event can be divided into a plurality of categories with different risk levels according to the risk sizes corresponding to different trigger events; alternatively, a plurality of categories with different attention levels may be distinguished according to the attention degree of the user to different trigger events. In an optional embodiment, a trigger event list may be preset, where the list includes a corresponding relationship between each trigger event and the determination rule, a corresponding relationship between each trigger event and the event type, and a corresponding relationship between each event type and the acquisition duration. The image acquisition equipment can detect state change parameters of the target object and/or environment dynamic parameters around the target object, starts video acquisition when judging whether a corresponding trigger event occurs according to the state change parameters, the environment dynamic parameters and a trigger event list, and determines acquisition termination time according to the type of the trigger event.

S103, in the video acquisition process, under the condition that a newly added trigger event is received, updating the acquisition termination time according to the type of the newly added trigger event.

In the video acquisition process of the image acquisition equipment, when a new trigger event occurs again, the acquisition duration corresponding to the new trigger event is determined according to the type of the new trigger event, and the acquisition termination time of the current video acquisition is correspondingly adjusted. The image acquisition equipment updates the acquisition termination time according to the type of the newly-added trigger event, wherein the acquisition termination time is updated by recording the starting time of the newly-added trigger event, adding the starting time of the newly-added trigger event to the acquisition duration corresponding to the newly-added trigger event, and if the starting time of the newly-added trigger event and the end time of the acquisition duration corresponding to the newly-added trigger event are behind the current acquisition termination time, taking the starting time of the newly-added trigger event and the end time corresponding to the acquisition duration corresponding to the newly-added trigger event as the updated acquisition termination time; and if the starting time of the newly added trigger event and the ending time of the acquisition time length corresponding to the newly added trigger event are before the current acquisition ending time, maintaining the current acquisition ending time unchanged.

In the above embodiment, the image capturing device starts video capturing when determining that the trigger event is received, determines the capturing termination time according to the type of the trigger event, and updates the capturing termination time according to the type of the newly added trigger event when receiving the newly added trigger event in the capturing process, so that the image capturing device can intelligently start recording based on the trigger event and dynamically adjust the recording duration, and the image capturing device can be in a dormant state when no trigger event is received, thereby greatly reducing energy consumption; and the collected videos are all collected based on the triggering event, the collection duration is matched with the type of the triggering event, so that the obtained monitoring data are all effective data, a user can conveniently and quickly find the required video data for analysis and utilization, and the data utilization rate is improved.

In some embodiments, in the video acquisition process, after the acquisition termination time is updated according to the type of a newly added trigger event when the newly added trigger event is received, the method further includes:

under the condition that the currently executed video acquisition meets a preset splitting rule, splitting the currently acquired video data according to the preset splitting rule and sending the video data to a cloud server for storage;

and when the acquisition termination time is reached, closing the video acquisition.

The preset splitting rule refers to a preset rule for splitting a currently recorded video, and for example, the preset splitting rule may be a splitting rule for splitting according to a preset splitting duration, or a splitting rule for splitting according to start and stop times of different events, or a splitting rule for splitting according to types of different events and corresponding to a specified splitting duration, or a splitting rule for splitting according to a degree of attention to an event, and the like. The splitting rule for splitting according to the preset splitting duration may be that every n minutes is used as a time period to split the currently recorded video; the splitting rule for splitting according to the start-stop time of different events may be that the currently recorded video is split according to the start time and the end time of each detected trigger event; the splitting rule for splitting the video according to the type of the different events and corresponding to the specified splitting time length respectively can be that according to the type of each detected trigger event, the different types of trigger events are matched with one corresponding splitting time length, and the currently recorded video is split according to the splitting time length matched with the type of the trigger event; according to the splitting rule for splitting the attention degree of the event, if the received trigger event is a trigger event of a type concerned by the user, the currently recorded video is split according to the start-stop time of the concerned trigger event. The preset splitting rule may include one or more splitting rules, and when the splitting rule includes a plurality of splitting rules, the priorities of the plurality of splitting rules may be set, and the currently adapted splitting rule is selected according to the corresponding priority order.

For example, in an alternative embodiment, the preset splitting rule includes: the first priority is a splitting rule which is divided according to the types of different events and respectively corresponds to the specified division duration, and the second priority is a splitting rule which is divided according to the preset division duration. Splitting currently executed video acquisition according to a splitting rule of a first priority level if the currently executed video acquisition relates to a plurality of trigger events and the designated splitting duration corresponding to the types of the trigger events can be determined; if the type of the at least one trigger event or the designated segmentation duration corresponding to the type of the at least one trigger event cannot be determined, the video acquisition executed for the corresponding trigger event can be split according to the splitting rule of the second priority. It should be noted that the preset splitting rule may be set or adjusted by the user through the terminal device, or may be issued, maintained, and upgraded by the manufacturer of the image capturing device.

Under the condition that the image acquisition equipment determines that the currently executed video acquisition meets the preset splitting rule, the currently acquired video data are split according to the preset splitting rule and sent to the cloud server for storage, and the size of a single video file can be reduced by splitting the video acquisition, so that the acquired video file can be conveniently stored, transmitted, called and checked. And when the acquisition termination time is up, the image acquisition equipment closes the video acquisition, and at the moment, the image acquisition equipment enters a sleep mode so as to reduce the power consumption of the system and reduce the acquisition of invalid image data.

In the above embodiment, the image acquisition device splits the acquired video data according to a preset splitting rule, and closes the video acquisition when the acquisition termination time is reached, so that the image acquisition device can intelligently open the video acquisition according to a judgment rule of a trigger event set by a user, and can be in a dormant state on the premise of no trigger event, thereby greatly reducing energy consumption; secondly, the monitoring data that image acquisition equipment gathered all opens monitoring module when triggering event takes place and gathers to the monitoring data that obtains all is with the effective data based on triggering event collection, and through carrying out the split storage to the video data of gathering according to presetting the split rule, convenience of customers carries out analysis and utilization to monitoring data, improves data utilization, promotes the intelligent experience that the user used image acquisition equipment.

In some embodiments, the determining that a trigger event is received comprises:

acquiring state change parameters of a target object detected by a door magnet module;

and determining to receive a trigger event under the condition that the target object is correspondingly changed according to the state change parameters.

The target object may be any object whose state changes and can determine whether a trigger event occurs currently, for example, an intelligent door lock is usually installed on an entrance door as a barrier for door security, and the change in state of the intelligent door lock can reflect whether a door security event occurs, and can determine whether a trigger event occurs by detecting the change in state of the intelligent door lock. Optionally, taking the target object as an intelligent door lock as an example, the intelligent door lock may include a door lock control module, a door lock storage module, a door lock mechanical module, a sensor module, a door lock communication module, and the like, where the door lock mechanical module includes a lock body, a panel, a handle, a doorbell, an induction area, and the like. The state change parameter of the intelligent door lock refers to a parameter indicating that the state of the intelligent door lock changes, such as the rotation of a handle, the detection of induction information of an access card by an induction area, the detection of the pressing of a key on a panel, the pulling of a doorbell, the violent damage of a lock body and the like. The intelligent door lock detects the state change parameters of the intelligent door lock through the door magnetic module, and the method specifically comprises the steps that after the door magnetic module senses the change of the self states of the lock body, the panel, the handle, the induction area and the like, a corresponding induction signal is formed and sent to the door lock control module, and the state change parameters of the intelligent door lock are sent to the image acquisition equipment through the door lock control module. In other alternative embodiments, the smart door lock itself includes an image capture device, and in this case, the target object may be a door lock mechanical module.

The image acquisition device may determine to receive the trigger event when it is determined that the target object is changed correspondingly according to the state change parameter and a preset trigger event judgment rule. In an optional embodiment, the determination rule is composed of a corresponding relationship between a trigger event and a state change parameter, and the image capturing device analyzes the state change parameter according to the determination rule to determine, for example, the determination rule may be: when the acquired state change parameter indicates that the lock body is violently damaged, the state change parameter is a lock picking event; and when the acquired state change parameters indicate that the pulling times of the doorbell in the set time period exceed the preset value, the doorbell is an emergency visit event.

In the above embodiment, the image capturing device obtains the state change parameter of the target object, and identifies the trigger event according to the state change parameter, so that the image capturing device can intelligently start video capturing according to the judgment rule of the trigger event set by the user, and can be in a dormant state on the premise of no trigger event, thereby reducing energy consumption, intelligently capturing the video according to the trigger event, improving safety performance, and improving intelligent experience of the user in using the image capturing device.

acquiring an environment dynamic parameter detected by a detection module;

and determining to receive a trigger event under the condition that the preset human body movement behavior exists according to the environment dynamic parameters.

The environment dynamic parameter refers to a parameter indicating an environment change within a preset range around the target object, such as a person or an object staying for a long time, a person or an object walking, a person or an object wandering for a long time, a person or an object approaching, and the like. The obtaining of the environmental dynamic parameter detected by the detection module may be sending the parameter to the image acquisition device after the detection module detects a change parameter of an environment within a preset range around the target object.

The target object may be any object capable of determining whether a trigger event occurs currently due to dynamic changes of an environment around the target object, for example, an intelligent door lock is usually installed on an entrance door as a barrier for door security, the dynamic changes of the environment around the intelligent door lock can reflect whether the door security event occurs, and whether the trigger event occurs can be determined by detecting the dynamic changes of the environment around the intelligent door lock. Optionally, still taking the target object as an example of the intelligent door lock, the intelligent door lock detects dynamic parameters of the surrounding environment through the sensor module, and specifically may include: when the sensor module detects the motion of people or objects in the surrounding environment, corresponding sensing signals are formed and sent to the door lock control module, and the door lock control module sends the environment dynamic parameters of the intelligent door lock to image acquisition equipment.

The image acquisition device may determine to receive the trigger event when determining that the preset human motion behavior exists according to the environmental dynamic parameter and a preset trigger event judgment rule. In an optional embodiment, the determination rule is composed of a corresponding relationship between a trigger event and an environmental dynamic parameter, and the image capturing device analyzes the environmental dynamic parameter according to the determination rule to determine, for example, the determination rule may be: when the obtained environment dynamic parameter is that a person stays for a long time or the obtained environment dynamic parameter is that the person wanders for a long time, the obtained environment dynamic parameter is a stranger visiting event; and when the acquired environment dynamic parameters are that people are close, the events are visited by people, and the like.

In the above embodiment, the image capturing device obtains the environmental dynamic parameters around the target object, and identifies the trigger event according to the environmental dynamic parameters, so that the image capturing device can intelligently start video capturing according to the judgment rule of the trigger event set by the user, and can be in a dormant state on the premise of no trigger event, thereby reducing energy consumption, and intelligently capturing the video according to the trigger event, and improving safety performance.

It should be noted that the image capturing device determines the trigger event, and may determine the trigger event by combining the state change parameter of the target object and the environmental dynamic parameter, for example, the determination rule of the trigger event may be: and when the acquired state change parameter is that the handle rotates before the unlocking password is not acquired and the acquired environment dynamic parameter is that someone stays for more than a preset time, the unlocking password is an illegal entry attempt event.

The method comprises the steps that the image acquisition equipment determines a trigger event, determines a corresponding current event according to the state change parameter or determines a corresponding current event according to the environment dynamic parameter, or determines a corresponding current event by combining the state change parameter and the environment dynamic parameter, the judgment rule of the trigger event can be set or adjusted by a user, the user is supported to set or adjust the judgment rule of the trigger event according to the attention degree of the user to different trigger events, the image acquisition equipment can intelligently start video acquisition when the concerned event occurs, and the intelligent experience of using the image acquisition equipment is improved.

In some embodiments, in the video acquisition process, when a new trigger event is received, updating the acquisition termination time according to the type of the new trigger event includes:

in the video acquisition process, determining the type of a newly added trigger event according to a set event judgment rule under the condition that the newly added trigger event is received;

under the condition that the newly-added trigger event is a first class event, increasing the current acquisition termination time by a first time length;

under the condition that the newly-added trigger event is a second type event, adding a second duration to the current acquisition termination time; wherein the risk level of the first category of event is higher than the risk level of the second category of event, and the first duration is longer than the second duration.

The event judgment rule is a rule for determining the type of the trigger event, and the event judgment rule may be preset, for example, the event judgment rule may include a mapping relationship table between the trigger event and the type. The types of the trigger events can be distinguished according to the risk levels of the events, for example, the types of the trigger events are divided into a first type event and a second type event according to different risk levels, wherein the risk level of the first type event is higher than the risk level of the second type event, and the acquisition duration corresponding to the event type with the higher risk level is longer than the acquisition duration corresponding to the event type with the lower risk level.

In an optional embodiment, the trigger events include a lock picking event, an illegal entry attempt event, a stranger visit event, an emergency visit event, a person visit event, and the like, and event types can be set according to the magnitude of security risks brought by the trigger events, the security risk level corresponding to the lock picking event is high, and the like, and the lock picking event corresponds to a first class event; the security risk level corresponding to the illegal entry event is high, and the illegal entry event is corresponding to a first type event; the security risk level corresponding to the stranger visiting event is medium, and the stranger visiting event corresponds to a second category event; the emergency visit event corresponds to a medium level of security risk and a second category of event. It should be noted that the types of the trigger events may be differentiated according to different risk levels, and may further include more types, for example, the types of the trigger events may further include a third type event, and the security risk level corresponding to the event that someone visits is low, which corresponds to the third type event.

In the video acquisition process of the image acquisition equipment, the type of the newly added trigger event is determined according to a set event judgment rule, the acquisition time length of a first class event with a higher risk level is longer than the acquisition time length of a second class event with a relatively lower risk level, and the acquisition termination time is updated according to different acquisition time lengths, so that the video acquisition of the image acquisition equipment aiming at different trigger events is more complete, and the safety and the reliability are further improved.

under the condition that the newly-added trigger event is a first attention level event, increasing the current acquisition termination time by a first time length;

under the condition that the newly-added trigger event is a second attention level event, adding a second duration to the current acquisition termination time; wherein the first duration is greater than the second duration.

The event judgment rule is a rule for determining the type of the trigger event, and the event judgment rule may be preset, for example, the event judgment rule may include a mapping relationship table between the trigger event and the type. The types of the trigger events can be distinguished according to the attention degrees of the users, for example, the types of the trigger events are divided into a first attention level event and a second attention level event according to the different attention degrees of the users to different trigger events, the attention degree of the users to the first attention level event is higher than the attention degree to the second attention level event, and the acquisition duration corresponding to the event category with the higher attention degree is longer than the acquisition duration corresponding to the event category with the relatively lower attention degree.

In an optional embodiment, the trigger events include lock picking events, illegal entry attempting events, stranger visiting events, emergency visiting events, person visiting events and the like, a user can set event types according to the attention degree of the user to the trigger events, the attention degree of the user to the lock picking events, illegal entry attempting events and emergency visiting events is particularly high, and the types of the lock picking events, illegal entry attempting events and emergency visiting events can be set as first attention level events; the attention degree of the user to the stranger visiting event and the person visiting event is relatively low, and the types of the stranger visiting event and the person visiting event can be set as second attention level events. It should be noted that the types of the trigger events may be differentiated according to different attention degrees of the user to different trigger events, and may further include more types, for example, the types of the trigger events may further include a third attention level event, the attention degree of the user to the stranger visit event is lower than the attention degree of the stranger visit event, the stranger visit event may be set as the second attention level event, and the third attention level event.

The image acquisition equipment determines the type of a newly added trigger event according to a set event judgment rule in the video acquisition process, the acquisition duration of a first attention level event with higher user attention degree is longer than the acquisition duration of a second attention degree with relatively lower attention degree, and the acquisition termination time is updated according to different acquisition durations, so that the video acquisition of the image acquisition equipment aiming at different trigger events is more complete, and the safety and the reliability are further improved.

In some embodiments, before determining the type of the newly added trigger event according to the set event determination rule, the method further includes:

acquiring an event attention grade sent by terminal equipment, and forming an event judgment rule according to the event attention grade; or the like, or, alternatively,

and acquiring modification parameters of the event attention level sent by the terminal equipment, and updating the current event judgment rule according to the modification parameters.

Wherein, the setting of the attention level of different trigger events can be set or adjusted by the user according to the requirement of the user. The terminal device can be provided with an application program which is corresponding to the image acquisition device and implements the video dynamic acquisition method, a setting interface which is set aiming at the event judgment rule is arranged in the application program, a user can input the corresponding relation between the trigger event and the attention degree in the setting interface which is set aiming at the event judgment rule, the terminal device sends the event attention level to the image acquisition device according to the corresponding relation between the trigger event and the attention degree input by the user, and the event judgment rule is formed according to the event attention level.

Optionally, the user may adjust the attention level of the trigger event according to the self requirement, the terminal device may be installed with an application program corresponding to the image acquisition device and implementing a video dynamic acquisition method, the application program is provided with a setting interface for setting an event determination rule, the user may modify a corresponding relationship between the trigger event and the attention level in the setting interface for setting the event determination rule, the terminal device sends a modification parameter of the attention level of the event to the image acquisition device according to a modification operation of the corresponding relationship between the trigger event and the attention level input by the user, and updates the current event determination rule according to the modification parameter.

In some embodiments, the video dynamic capture method further comprises: acquiring a splitting time parameter sent by terminal equipment, and forming a preset splitting rule according to the splitting time parameter;

under the condition that the currently executed video acquisition is determined to meet the preset splitting rule, splitting the currently acquired video data according to the preset splitting rule and sending the video data to the cloud server for storage, the method comprises the following steps:

and under the condition that the time length of the currently executed video acquisition reaches the splitting time parameter, splitting the currently acquired video data by taking the splitting time parameter as a time period, and respectively packaging and sending the split video data to a cloud server for storage.

The terminal device can be provided with an application program which is corresponding to the image acquisition device and is used for implementing the video dynamic acquisition method, a setting interface which is set aiming at the splitting rule is arranged in the application program, a user can input the splitting time parameter in the setting interface which is set aiming at the splitting rule, for example, the user can input any time length such as 1 minute, 10 minutes and the like as the splitting time parameter according to the self requirement, the terminal device receives the splitting time parameter input by the user and sends the splitting time parameter to the image acquisition device, and the image acquisition device can divide the acquired video into a plurality of video data with corresponding time length. And the image acquisition equipment acquires the splitting time parameter to form a splitting rule which takes the splitting time parameter as the splitting duration to carry out splitting. After the image acquisition equipment starts video acquisition, recording the time length of the video acquisition, and if the time length of the currently executed video acquisition reaches the splitting time parameter, splitting the currently recorded video by taking the splitting time parameter as a time period to split the video into a plurality of separated video data. Optionally, the split video data may be sorted and stored according to a time sequence, and when the split video data are respectively packed and sent to the cloud server, the split video data may be sent to the cloud server in sequence according to the time sequence of the video data; or the split video data can be named according to a time sequence, and when the split video data are respectively packaged and sent to the cloud server, the video data can be sent to the cloud server in parallel.

In the embodiment, the user can adjust the splitting time of the collected video through the terminal device, the image collecting device intelligently splits the collected video, and the user can be conveniently and accurately provided with video segment information which is possibly interested.

In some embodiments, the video dynamic capture method further comprises: acquiring an event judgment rule sent by terminal equipment, and forming a preset splitting rule according to the event judgment rule;

determining that the event of the currently executed video acquisition corresponds to the event type in the preset splitting rule, splitting the currently acquired video data according to different types of events, and respectively packaging and sending the split video data to the cloud server for storage.

The event judgment rule can be used as a rule for segmenting the acquired video by the image acquisition equipment. The terminal equipment can be provided with an application program which is corresponding to the image acquisition equipment and implements a video dynamic acquisition method, a setting interface which is set aiming at a splitting rule is arranged in the application program, a user can input concerned event types in the setting interface which is set aiming at the splitting rule, if the user can input a lock picking event and an illegal entry attempting event as a first concerned level event according to the self requirement as an event judgment rule, the terminal equipment receives the event judgment rule input by the user and sends the event judgment rule to the image acquisition equipment, and when a trigger event is the lock picking event and the illegal entry attempting event in the process of starting the video acquisition by the image acquisition equipment, the start-stop time corresponding to the lock picking event and the illegal entry attempting event is respectively used for division; or after video acquisition is completed, when it is confirmed that the corresponding trigger events in the video data include a lock picking event and an illegal entry attempt event, the corresponding start-stop time of the lock picking event and the illegal entry attempt event is respectively divided into a plurality of separated video data.

Optionally, the split video data may be named by event names and stored in sequence according to a time sequence, and when the split video data is respectively packaged and sent to the cloud server, the split video data may be sent to the cloud server in sequence according to the time sequence of the video data; or the split video data can be named according to the event name and the time, and when the split video data are respectively packaged and sent to the cloud server, the video data can be sent to the cloud server in parallel. Optionally, the video data obtained after splitting according to the event judgment rule may also set different sending priorities according to different event types, for example, the sending priority of the video data of the first interest level event is higher than the sending priority of the video data of the second interest level event, when the image acquisition device packs the split video data respectively and sends the split video data to the cloud server, if the current data transmission rate does not meet the setting requirement, the image acquisition device first sends the video data with the higher sending priority to the cloud server.

Optionally, the rule for the image capturing device to segment the captured video may include a plurality of rules, for example, after splitting currently captured video data according to different types of events, splitting video data corresponding to each event type according to the splitting time parameter as a time period; when the split video data are respectively packaged and sent to the cloud server, the video data of different types of events can be grouped, the video data corresponding to different groups can be sent in series according to time sequence, and the video data in the same group can be sent in parallel, so that the data transmission efficiency is improved.

In the embodiment, the user can adjust the event judgment rule for splitting the collected video through the terminal device, and the image collecting device can intelligently split the event video which is more concerned by the user, so that the video segment information which is possibly interested in can be conveniently and accurately provided for the user.

Referring to fig. 4, in another aspect of the embodiment of the present application, a video dynamic capturing method is further provided, which is applied to an image capturing system, where the image capturing system includes a triggering device and an image capturing device, the method includes, but is not limited to, S201 and S203, and the following is specifically introduced:

s201, triggering equipment to acquire event data, and sending the event data to image acquisition equipment.

The event data refers to parameters for determining whether a trigger event occurs, such as a state change parameter of the target object and/or an environmental dynamic parameter around the target object, and the determination rule of the trigger event may be composed of a correspondence relationship between the trigger event and the state change parameter of the target object and/or the environmental dynamic parameter around the target object. Optionally, the image acquisition device is a gateway camera, and the triggering device includes a door magnet module, a human body sensor, and the like. The door magnetic module is used for collecting state change parameters of the intelligent door lock, and the human body sensor is used for detecting environment dynamic parameters of whether people approach, walk and/or stay in the surrounding environment and respectively sending the environment dynamic parameters to the image collecting equipment.

S203, the image acquisition equipment starts video acquisition under the condition of determining to receive a trigger event, and determines acquisition termination time according to the type of the trigger event; in the video acquisition process, under the condition of receiving a newly added trigger event, updating the acquisition termination time according to the type of the newly added trigger event.

In the video acquisition process, when a new trigger event occurs again, the image acquisition equipment determines the acquisition duration corresponding to the new trigger event according to the type of the new trigger event, and correspondingly adjusts the acquisition termination time of the current video acquisition. The image acquisition equipment updates the acquisition termination time according to the type of the newly-added trigger event, wherein the acquisition termination time is updated by recording the starting time of the newly-added trigger event, adding the starting time of the newly-added trigger event to the acquisition duration corresponding to the newly-added trigger event, and if the starting time of the newly-added trigger event and the end time of the acquisition duration corresponding to the newly-added trigger event are behind the current acquisition termination time, taking the starting time of the newly-added trigger event and the end time corresponding to the acquisition duration corresponding to the newly-added trigger event as the updated acquisition termination time; and if the starting time of the newly added trigger event plus the ending time of the acquisition time length corresponding to the newly added trigger event is before the current acquisition ending time, maintaining the current acquisition ending time unchanged.

In the above embodiment, the image acquisition system acquires event data through the trigger device, the image acquisition device determines that video acquisition is automatically started when the trigger event occurs according to the judgment of the event data, and determines acquisition termination time, and the acquisition termination time is updated according to the type of the newly added trigger event when the newly added trigger event is received in the acquisition process, so that the image acquisition device can intelligently start recording based on the trigger event and dynamically adjust recording duration, and the image acquisition device can be in a dormant state without the trigger event, thereby greatly reducing energy consumption; the collected videos are all collected based on the fact that the triggering event is started when the triggering event occurs, the collection duration is matched with the type of the triggering event, therefore, the collected video data are all effective data, a user can conveniently and quickly find the required video data to analyze and utilize, and the data utilization rate is improved.

In some embodiments, when the image acquisition device determines that the currently executed video acquisition meets a preset splitting rule, the image acquisition device splits the currently acquired video data according to the preset splitting rule and sends the video data to a cloud server for storage;

the cloud server stores the split video data, forms push information carrying a storage address of the video data and sends the push information to the terminal equipment;

and the image acquisition equipment closes video acquisition when the acquisition termination time is up.

The preset splitting rule refers to a preset rule for splitting a currently recorded video, and for example, the preset splitting rule may be a splitting rule for splitting according to a preset splitting duration, or a splitting rule for splitting according to start and stop times of different events, or a splitting rule for splitting according to types of different events and corresponding to a specified splitting duration, or a splitting rule for splitting according to attention degrees to the events, and the like. The splitting rule for splitting according to the preset splitting duration may be that every n minutes is used as a time period to split the currently recorded video; the splitting rule for splitting according to the start-stop time of different events may be that the currently recorded video is split according to the start time and the end time of each detected trigger event; the splitting rule for splitting the video according to the type of the different events and corresponding to the specified splitting time length respectively can be that according to the type of each detected trigger event, the different types of trigger events are matched with one corresponding splitting time length, and the currently recorded video is split according to the splitting time length matched with the type of the trigger event; according to the splitting rule for splitting the attention degree of the event, if the received trigger event is a trigger event of a type concerned by a user, splitting the currently recorded video according to the start-stop time of the concerned trigger event. The preset splitting rule may include one or more splitting rules, and when the splitting rule includes a plurality of splitting rules, the priorities of the plurality of splitting rules may be set, and the currently adapted splitting rule is selected according to the corresponding priority order.

The cloud server stores the split video data in the cloud storage module, the storage address of the video data and the corresponding event information are spliced again to form push information carrying the storage address of the video data, the push information is sent to the terminal equipment, and a user can conveniently and quickly judge whether to look up the video data of the event through the event information in the push information.

In the embodiment of the application, the image acquisition equipment splits the acquired video data according to a preset splitting rule, and closes the video acquisition when the acquisition termination time is up, so that the image acquisition equipment can intelligently open the video acquisition according to the judgment rule of the trigger event set by a user and can be in a dormant state on the premise of no trigger event, thereby greatly reducing the energy consumption; the cloud service end forms the push information including the storage address of the video data and the event information and sends the push information to the corresponding terminal equipment, a user can conveniently and quickly identify whether the push information is the monitoring data of the event concerned by the user or not through the push information and then decide whether the push information is acquired or not, unnecessary circulation of data in a network is reduced, and the intelligent experience of the user in using the intelligent door lock is improved.

In some embodiments, the video dynamic capture method further includes:

the terminal equipment acquires a video viewing instruction based on the push information and sends the video viewing instruction to the cloud server side;

and the terminal equipment acquires video data from the cloud server and displays the video data according to the type of the event corresponding to the video data.

The terminal equipment can send a command for acquiring the video data to the cloud server through the terminal control module according to the checking operation that the user clicks the storage address of the video data. Optionally, the terminal device may display the video data of different event types in a differentiated manner, so as to more intuitively remind the user to check the video data of the trigger event concerned by the user in time.

Optionally, the acquiring, by the terminal device, video data from the cloud server, and displaying the video data according to the type of the event corresponding to the video data differently includes:

the terminal equipment acquires video data from the cloud server;

displaying the video data corresponding to the events with different attention levels by adopting different colors according to the types of the events corresponding to the video data; or displaying the video data corresponding to the abnormal event by adopting a specified identifier according to the type of the event corresponding to the video data.

The terminal device may display the video data of different event types in different colors, where, according to the setting modes of different event types, when the event type is set according to the magnitude of the security risk degree, the video data of the event type with greater security risk may be displayed in a darker color, and the video data of the event type with relatively less security risk may be displayed in a lighter color; alternatively, when the event type is set according to the user attention degree, the video data of the event type with the higher user attention degree may be displayed in a darker color, and the video data of the event type with the relatively lower attention degree may be displayed in a relatively lighter color.

The terminal equipment acquires video data from the cloud server, and displays the video data corresponding to the events with different attention levels by adopting different colors according to the types of the events corresponding to the video data; or according to the type of the event corresponding to the video data, the video data corresponding to the abnormal event is displayed by adopting the appointed identification, so that the user can be more intuitively reminded to check the video data of the trigger event concerned by the user in time, and the intelligent experience of using the image acquisition equipment can be improved.

In order to enable a more systematic understanding of the video dynamic acquisition method provided by the above embodiment of the present application, a specific example of the video dynamic acquisition method is described by taking an image acquisition device as a gateway camera, and a trigger device including a door magnet and a human body sensor as an example, where the gateway camera includes an audio and video related camera portion and a gateway portion serving as a sensor and a controller control center. The door magnet comprises a sensor for sensing the opening and closing of the door and the window and consists of a magnet and a theme part. The human body sensor comprises a PIR infrared detector, a radar sensor and the like, and is used for detecting human body induction and outputting a signal of whether a person exists. Referring to fig. 5, the video dynamic capturing method includes the following steps:

and S11, the trigger device detects the event data and sends the event data to the image acquisition device.

And S12, the image acquisition equipment starts video acquisition and determines the acquisition termination time when determining that the trigger event is received according to the event data.

S13, in the process of video acquisition, if a new trigger event is received, judging whether the new trigger event is an early warning event of key attention; if yes, go to S14; if not, go to S15.

And S14, prolonging the recording time according to the acquisition duration of the important concerned early warning event, and updating the acquisition termination time.

And S15, prolonging the recording time according to the acquisition duration of the common event, and updating the acquisition termination time.

And S16, when the acquisition termination time is reached, closing the video acquisition.

The user can configure the key concerned early warning event and the common event through the terminal equipment, and also can set the acquisition duration corresponding to the key concerned early warning event and the common event respectively through the terminal equipment, so that the image acquisition equipment can dynamically start video acquisition according to the occurrence condition of a trigger event and dynamically adjust the recording duration, and under the condition of no trigger event, the image acquisition equipment can be in a dormant state, thereby greatly reducing the energy consumption; and the collected videos are all collected based on the triggering event, the collection duration is matched with the type of the triggering event, so that the obtained monitoring data are all effective data, and a user can conveniently and quickly find the required video data for analysis and utilization.

Referring to fig. 6, another specific exemplary description is made on a dynamic video capture method, where the dynamic video capture method includes the following steps:

and S21, triggering the device to detect the event data and sending the event data to the image acquisition device.

And S22, the image acquisition equipment starts video acquisition and determines the acquisition termination time when determining that the trigger event is received according to the event data.

S23, judging whether the current acquisition time reaches the minimum splitting recording time or not; if so, go to S24, otherwise, go to S26.

S24, judging whether the current trigger event is a key focused event needing to be split; if yes, go to S25; if not, go to S26.

And S25, splitting the recorded video according to the splitting rule configured by the user, and sending the split video data to a cloud server for storage.

And S26, when the acquisition termination time is reached, closing the video acquisition.

The image acquisition equipment splits the video acquisition, so that the size of a single video file can be reduced, and the acquired video file can be conveniently stored, transmitted, called and checked. And when the acquisition termination time is up, the image acquisition equipment closes the video acquisition, and at the moment, the image acquisition equipment enters a sleep mode so as to reduce the power consumption of the system and reduce the acquisition of invalid image data.

According to the video dynamic acquisition method provided by the embodiment, the recording length of the early warning small video can be dynamically prolonged according to the type of the event in which the user is interested; secondly, splitting the early warning small video according to preset rules (the preset rules comprise setting different time lengths, event types concerned by users, different event types and the like), and achieving the purpose of dynamically and intelligently recording the video.

In another aspect of the embodiments of the present application, please refer to fig. 7, which further provides a dynamic video capturing apparatus applied to an image capturing device, including: the starting module 141 is configured to start video acquisition when determining that a trigger event is received, and determine acquisition termination time according to the type of the trigger event; and the adjusting module 142 is configured to, in the video acquisition process, update the acquisition termination time according to the type of the newly added trigger event when the newly added trigger event is received.

Optionally, the image acquisition device further includes a splitting module, configured to split currently acquired video data according to a preset splitting rule and send the split video data to a cloud server for storage when it is determined that currently executed video acquisition meets the preset splitting rule; and the closing module is used for closing the video acquisition when the acquisition termination time is reached.

Optionally, the starting module 141 is further configured to obtain a state change parameter of the target object detected by the door sensor module; determining to receive a trigger event under the condition that the target object is correspondingly changed according to the state change parameters; or, the environment dynamic parameter detecting module is used for acquiring the environment dynamic parameter detected by the detecting module; and determining to receive a trigger event under the condition that the preset human body movement behavior exists according to the environment dynamic parameters.

Optionally, the adjusting module 142 is specifically configured to, in the video acquisition process, determine the type of a newly added trigger event according to a set event judgment rule when the newly added trigger event is received; under the condition that the newly-added trigger event is a first class event, increasing the current acquisition termination time by a first time length; under the condition that the newly-added trigger event is a second type event, adding a second duration to the current acquisition termination time; wherein the risk level of the first category event is higher than the risk level of the second category event, and the first duration is longer than the second duration.

Optionally, the adjusting module 142 is specifically configured to, in the video acquisition process, determine the type of a newly added trigger event according to a set event judgment rule when the newly added trigger event is received; under the condition that the newly-added trigger event is a first attention level event, increasing the current acquisition termination time by a first time length; under the condition that the newly-added trigger event is a second attention level event, adding a second duration to the current acquisition termination time; wherein the first duration is greater than the second duration.

Optionally, the adjusting module 142 is further configured to obtain an event attention level sent by the terminal device, and form an event judgment rule according to the event attention level; or acquiring a modification parameter of the event attention level sent by the terminal equipment, and updating the current event judgment rule according to the modification parameter.

Optionally, the splitting module is specifically configured to obtain a splitting time parameter sent by the terminal device, and form a preset splitting rule according to the splitting time parameter; and under the condition that the time length of the currently executed video acquisition reaches the splitting time parameter, splitting the currently acquired video data by taking the splitting time parameter as a time period, and respectively packaging and sending the split video data to a cloud server for storage.

Optionally, the splitting module is specifically configured to obtain an event judgment rule sent by the terminal device, and form a preset splitting rule according to the event judgment rule; determining that the event of the currently executed video acquisition corresponds to the event type in the preset splitting rule, splitting the currently acquired video data according to different types of events, and respectively packaging and sending the split video data to the cloud server for storage.

It should be noted that: in the process of controlling the monitoring module to switch between the sleep mode and the wake-up mode to intelligently acquire the event monitoring data, the video dynamic acquisition device provided in the above embodiment is exemplified by only the division of the program modules, and in practical applications, the processing allocation can be completed by different program modules according to needs, that is, the internal structure of the device can be divided into different program modules, so as to complete all or part of the method steps described above. In addition, the video dynamic acquisition device provided by the above embodiment and the video dynamic acquisition method embodiment applied to the intelligent door lock side belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment and are not described herein again.

Referring to fig. 8, in another aspect of the embodiment of the present application, an image capturing device is further provided, and includes a controller 171, a memory 172, an image capturing module 173, and a communication module 174, where the image capturing module 173 is configured to capture a video, the communication module 174 is configured to perform data communication with a cloud service end and a trigger device, and the memory 172 stores a computer program, and when the computer program is executed by the controller 171, the dynamic video capturing method according to any embodiment of the present application is implemented.

Fig. 9 is a block diagram of an alternative hardware structure of an image capturing device according to an embodiment of the present disclosure. As shown in fig. 9, the image capture device may vary greatly in configuration or performance, and may include one or more processors 1110 (CPUs) (the processors 1110 may include, but are not limited to, a Processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 1130 for storing data, one or more storage media 1120 (e.g., one or more mass storage devices) storing applications 1123 or data 1122. The memory 1130 and the storage medium 1120 may be, among other things, transient storage or persistent storage. The program stored in the storage medium 1120 may include one or more modules, each of which may include a series of instructions operating on a scene control panel. Still further, processor 1110 may be configured to communicate with storage medium 1120 to execute a series of instruction operations in storage medium 1120 on a smart device. The smart device may also include one or more power supplies 1160, one or more wired or wireless network interfaces 1150, one or more input-output interfaces 1140, and/or one or more operating systems 1121, such as Windows Server, MacOSXTM, UnixTM, LinuxTM, FreeBSDTM, and so forth.

The input output interface 1140 may be used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the smart device. In one example, i/o interface 1140 includes a network adapter (NIC) that may be coupled to other network devices via a base station to communicate with the internet. In one example, the input/output interface 1140 can be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.

It will be understood by those skilled in the art that the structure shown in fig. 9 is only an illustration and is not intended to limit the structure of the image capturing apparatus. For example, the image acquisition device may also include more or fewer components than shown in FIG. 9, or have a different configuration than shown in FIG. 9.

On the other hand, the embodiment of the present application further provides a dynamic video acquisition system, which includes a trigger device and the image acquisition device in the embodiment of the present application, where the trigger device is configured to acquire event data and send the event data to the image acquisition device.

The embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the embodiment of the video dynamic acquisition method, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A dynamic video acquisition method is applied to image acquisition equipment and is characterized by comprising the following steps:

2. The method as claimed in claim 1, wherein in the video capturing process, after updating the capturing end time according to the type of the new trigger event when the new trigger event is received, the method further comprises:

3. The method of claim 1, wherein the determining that a trigger event is received comprises:

determining that a trigger event is received under the condition that the target object is correspondingly changed according to the state change parameters;

alternatively, the first and second electrodes may be,

acquiring an environment dynamic parameter detected by a detection module;

4. The method of claim 1, wherein in the video capturing process, in the case that a new trigger event is received, updating the capture termination time according to the type of the new trigger event comprises:

5. The method of claim 1, wherein in the video acquisition process, when a new trigger event is received, updating the acquisition termination time according to the type of the new trigger event comprises:

6. The method as claimed in claim 5, wherein before determining the type of the newly added trigger event according to the set event determination rule, the method further comprises:

7. The method of any of claims 1 to 6, further comprising: acquiring a splitting time parameter sent by terminal equipment, and forming a preset splitting rule according to the splitting time parameter;

8. The method of any of claims 1 to 6, further comprising: acquiring an event judgment rule sent by terminal equipment, and forming a preset splitting rule according to the event judgment rule;

9. A dynamic video acquisition method is applied to an image acquisition system and is characterized by comprising the following steps:

10. The method according to claim 9, wherein when the image capturing device determines that the currently executed video capturing meets a preset splitting rule, the image capturing device splits the currently captured video data according to the preset splitting rule and sends the video data to the cloud server for storage;

and when the acquisition termination time is up, the image acquisition equipment closes the video acquisition.

11. The method of claim 9, further comprising:

12. The method of claim 11, wherein the terminal device acquires video data from the cloud server and displays the video data according to the type of the event corresponding to the video data, and the method comprises the following steps:

the terminal equipment acquires video data from the cloud server;

13. A video motion capture device, comprising:

14. An image acquisition device is characterized by comprising a controller, a memory, an image shooting module and a communication module, wherein the image shooting module is used for acquiring a video, the communication module is used for carrying out data communication with a cloud server and a trigger device,

the memory stores a computer program which, when executed by the controller, implements the video dynamic capture method of any of claims 1 to 8.

15. A video dynamic acquisition system, comprising a triggering device and an image acquisition device according to claim 14, wherein the triggering device is configured to acquire event data and transmit the event data to the image acquisition device.

16. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the video dynamic acquisition method according to any one of claims 1 to 8.