Camera control method and device, electronic equipment and storage medium
By using the first camera to monitor and identify abnormal events in industrial scenarios such as smart distribution rooms, and awakening the second camera for dynamic acquisition and analysis, the problem of low recognition of visible cameras in harsh environments is solved, and automated image acquisition and recognition is realized, reducing power consumption and improving recognition accuracy.
Patent Information
- Application Number
- CN202510113713.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-24
- Publication Date
- 2025-05-09
AI Technical Summary
The visible light camera cannot accurately obtain the on-site image under conditions such as bad weather, insufficient light, dust and smoke, and requires continuous lighting at night, resulting in high energy consumption and low image recognition.
By controlling the first camera to monitor the target area and identify abnormal events, receive abnormal event perception signals and video data, wake up the second camera for dynamic acquisition and analysis, generate abnormal event analysis results, and control the second camera to enter a dormant state according to the processing completion signal.
It realizes automated image acquisition and recognition, reduces power consumption, is suitable for image acquisition scenarios under various environmental conditions, and improves the accuracy of image recognition.
Smart Images

Figure CN119967273A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of camera control technology, and in particular to a camera control method, device, electronic device and storage medium. Background Art
[0002] With the rapid development of AI technology, in industrial production scenarios such as smart distribution rooms, smart substations, unmanned production workshops, and smart mines, visible light cameras are gradually used for image collection and AI training and recognition to identify standardized personnel operations, provide equipment anomaly warnings, illegal intrusion warnings, and assist in site accident rescue, etc.
[0003] However, visible light cameras cannot accurately capture on-site images under bad weather, insufficient lighting conditions, dust and smoke, etc. Moreover, at night, visible light cameras require continuous lighting and monitoring equipment to work continuously, resulting in high energy consumption and low image recognition. Summary of the invention
[0004] The main purpose of the embodiments of the present application is to propose a camera control method, device, electronic device and storage medium, which can realize automatic image acquisition and recognition, reduce power consumption, and are suitable for image acquisition scenarios under various environmental conditions.
[0005] On the one hand, an embodiment of the present application provides a camera control method, the method comprising the following steps:
[0006] Controlling the first camera to monitor the target area and identify abnormal events, and receiving abnormal event perception signals and corresponding abnormal event video data fed back by the first camera;
[0007] In response to the abnormal event sensing signal, waking up a second camera, wherein the first camera and the second camera are integrated into the same multi-core heterogeneous system;
[0008] Controlling the awakened second camera to dynamically collect the target area video data, receiving the target area video data, analyzing the target area video data and the abnormal event video data, and generating an abnormal event analysis result and an abnormal event processing completion signal;
[0009] According to the abnormal event processing completion signal, the second camera is controlled to enter a sleep state.
[0010] In some embodiments, controlling the first camera to monitor the target area and identify abnormal events, and receiving the abnormal event perception signal and corresponding abnormal event video data fed back by the first camera specifically includes:
[0011] When the first camera captures a dynamic living body in the target area, the first camera dynamically collects corresponding first abnormal video data and generates a first abnormal perception signal;
[0012] When the first camera identifies a preset chemical reagent in the target area, the first camera dynamically collects corresponding second abnormal video data and generates a second abnormal perception signal;
[0013] When the first camera monitors that the current ambient temperature change value corresponding to the target area is greater than a given threshold, the first camera dynamically collects corresponding third abnormal video data and generates a third abnormal perception signal.
[0014] In some embodiments, waking up the second camera in response to the abnormal event sensing signal specifically includes:
[0015] In response to the abnormal event perception signal, dynamically generate a camera wake-up instruction;
[0016] The second camera is woken up according to the camera wake-up instruction.
[0017] In some embodiments, the second camera after being awakened by the control dynamically collects the target area video data, receives the target area video data, analyzes the target area video data and the abnormal event video data, and generates an abnormal event analysis result and an abnormal event processing completion signal, specifically including:
[0018] Controlling the awakened second camera to dynamically collect the target area video data, and transmitting the target area video data and the abnormal event video data to the intelligent analysis model;
[0019] Using the intelligent analysis model to perform event analysis based on the abnormal event video data and the target area video data, and determine the abnormal event type and abnormal hazard level;
[0020] The abnormal event type, abnormal hazard level, abnormal event video data and target area video data are bound to generate abnormal event monitoring information and the abnormal event processing completion signal.
[0021] In some embodiments, the method further comprises:
[0022] When the abnormal hazard level is greater than a preset level threshold, an abnormal alarm signal is generated;
[0023] The abnormal event monitoring information and the abnormal alarm signal are uploaded to the monitoring platform.
[0024] In some embodiments, before executing the step of controlling the first camera to monitor the target area and identify abnormal events, and receiving the abnormal event perception signal and the corresponding abnormal event video data fed back by the first camera, the method includes the following steps:
[0025] The first camera and the second camera are initialized, the first camera is put into a working state, and the second camera is put into a dormant state, wherein the first camera is an infrared short-wave camera.
[0026] In some embodiments, the initializing the first camera and the second camera to put the first camera into a working state and the second camera into a dormant state specifically includes:
[0027] receiving a first camera control instruction, supplying power to the first camera, and placing the first camera in the working state;
[0028] Receive a second camera control instruction, stop supplying power to the second camera, and put the second camera into the sleep state.
[0029] On the other hand, an embodiment of the present application provides a camera control device, the device comprising:
[0030] The first module is used to control the first camera to monitor the target area and identify abnormal events, and receive abnormal event perception signals and corresponding abnormal event video data fed back by the first camera;
[0031] A second module is configured to wake up a second camera in response to the abnormal event sensing signal, wherein the first camera and the second camera are integrated in the same multi-core heterogeneous system;
[0032] The third module is used to control the awakened second camera to dynamically collect the target area video data, receive the target area video data, analyze the target area video data and the abnormal event video data, and generate an abnormal event analysis result and an abnormal event processing completion signal;
[0033] The fourth module is used to control the second camera to enter a sleep state according to the abnormal event processing completion signal.
[0034] On the other hand, an embodiment of the present application provides an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the camera control method described above when executing the computer program.
[0035] On the other hand, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the camera control method described above is implemented.
[0036] The embodiments of the present application include at least the following beneficial effects: the present application provides a camera control method, device, electronic device and storage medium, which monitors the target area and identifies abnormal events by controlling the first camera, receives the abnormal event perception signal and the corresponding abnormal event video data fed back by the first camera, wakes up the second camera in response to the abnormal event perception signal, controls the awakened second camera to dynamically collect the target area video data, analyzes the target area video data and the abnormal event video data, generates abnormal event analysis results and abnormal event processing completion signals, and controls the second camera to enter a dormant state according to the abnormal event processing completion signal. The present application can automate image acquisition and recognition, reduce power consumption, is applicable to image acquisition scenarios under various environmental conditions, and improves the accuracy of image recognition. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.
[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0039] Figure 1 is a flow chart of a camera control method provided by an embodiment of the present application;
[0040] Figure 2 is a structural schematic diagram of a camera control device provided in an embodiment of the present application;
[0041] Figure 3 It is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0042] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application. They are only examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the attached claims.
[0043] It is understood that the terms "first", "second", etc. used in this application can be used to describe various concepts in this article, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another concept. For example, without departing from the scope of the embodiment of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determination".
[0044] The terms "at least one", "multiple", "each", "any", etc. used in this application, at least one includes one, two or more, multiple includes two or more, each refers to each of the corresponding multiple, and any refers to any one of the multiple.
[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.
[0046] Reference Figure 1 , Figure 1 This is an optional flowchart of a camera control method provided in an embodiment of the present application. The method may include but is not limited to steps S101 to S104:
[0047] Step S101, controlling the first camera to monitor the target area and identify abnormal events, and receiving abnormal event perception signals and corresponding abnormal event video data fed back by the first camera;
[0048] Step S102, in response to the abnormal event sensing signal, waking up the second camera, wherein the first camera and the second camera are integrated in the same multi-core heterogeneous system;
[0049] Step S103, controlling the awakened second camera to dynamically collect target area video data, receiving the target area video data, analyzing the target area video data and abnormal event video data, and generating abnormal event analysis results and abnormal event processing completion signals;
[0050] Step S104, controlling the second camera to enter a sleep state according to the abnormal event processing completion signal.
[0051] In some embodiments, before executing the above step S101, the first camera and the second camera are initialized, the first camera is put into working state, and the second camera is put into sleep state, wherein the first camera is an infrared shortwave camera or other type of sensor, and the second camera is a visible light camera. Specifically, a first camera control instruction is received, the first camera is powered, and the first camera is put into working state, a second camera control instruction is received, power supply to the second camera is stopped, and the second camera is put into sleep state.
[0052] Optionally, the wavelength of infrared shortwave can bypass fine particles in smoke, fog and haze. Compared with infrared medium wave and infrared long wave, infrared shortwave has better detail resolution and analysis capabilities, and can well identify objects in the target area, so that infrared shortwave can still achieve clear imaging of objects in the case of haze and heavy smoke, thereby effectively coping with image acquisition scenarios under various environmental conditions (including bad weather, insufficient lighting conditions, dust and smoke, etc.).
[0053] In the prior art, the control of multiple cameras is usually completed using multiple chips, and the chips are usually homogeneous chips. Each camera is controlled by an independent chip and a supporting hardware system, which is costly, complex in structure, and has low control efficiency. Based on this, the embodiment of the present application integrates the first camera and the second camera into the same multi-core heterogeneous system. The multi-core heterogeneous system includes a multi-core heterogeneous chip and a supporting hardware system. The multi-core heterogeneous system uses a single multi-core heterogeneous chip to achieve independent power supply for hardware domains and can independently run different operating systems in different domains. It is simple, efficient, and reduces costs.
[0054] In some embodiments, the first camera and the second camera are integrated into the same multi-core heterogeneous system. Specifically, the first camera is integrated into a low-power domain in the multi-core heterogeneous system, and the second camera is integrated into a high-power domain in the multi-core heterogeneous system. The low-power domain runs continuously, and when no abnormal event perception signal is received, the high-power domain is controlled to stop running, that is, power supply to the high-power domain is stopped, thereby controlling the second camera to enter a sleep state. When an abnormal event perception signal is received, the high-power domain is controlled to run and wake up the second camera.
[0055] In some embodiments, step S101 may include but is not limited to steps S201 to S203:
[0056] Step S201, when the first camera captures a dynamic living body in the target area, the first camera dynamically collects corresponding first abnormal video data and generates a first abnormal perception signal;
[0057] Step S202, when the first camera recognizes a preset chemical reagent in the target area, the first camera dynamically collects corresponding second abnormal video data and generates a second abnormal perception signal;
[0058] Step S203, when the first camera monitors that the current ambient temperature change value corresponding to the target area is greater than a given threshold, the first camera dynamically collects corresponding third abnormal video data and generates a third abnormal perception signal.
[0059] In some embodiments, the first camera can be used to detect colorless and odorless chemical reagents, dynamic living organisms, and ambient temperature. For example, the first camera is used to perform dynamic living organism detection on the target area. When it is determined that there is a living organism in the target area, a first abnormal perception signal is generated, wherein the living organism may include but is not limited to animals, human bodies and their tissues. When colorless and odorless chemical reagents appear in the target area, the first camera can capture the chemical reagents and image them. Different chemical reagents have different colors in the image, and then a corresponding second abnormal perception signal is generated. In addition, the first camera can continuously monitor the changes in ambient temperature of the target area, dynamically collect the ambient temperature according to a preset time interval, and when the ambient temperature of the target area is detected to be abnormal, it is determined that an abnormal event has occurred, and a corresponding third abnormal perception signal is generated. The ambient temperature abnormality includes an ambient temperature change value greater than a given threshold and a current ambient temperature greater than a given temperature threshold.
[0060] In step S102 of some embodiments, in response to the abnormal event perception signal, a camera wake-up instruction is dynamically generated, and the second camera is woken up according to the camera wake-up instruction.
[0061] In some embodiments, when the first camera generates an abnormal perception signal, the second camera is awakened, and the second camera is controlled to shoot the target area and collect corresponding target area video data.
[0062] In some embodiments, step S103 may include but is not limited to steps S301 to S303:
[0063] Step S301, controlling the awakened second camera to dynamically collect the target area video data, and transmitting the target area video data and the abnormal event video data to the intelligent analysis model;
[0064] Step S302, using an intelligent analysis model to perform event analysis based on the abnormal event video data and the target area video data to determine the abnormal event type and abnormal hazard level;
[0065] Step S303, binding the abnormal event type, abnormal hazard level, abnormal event video data and target area video data, generating abnormal event monitoring information and generating an abnormal event processing completion signal.
[0066] In some embodiments, after receiving the abnormal perception signal, the abnormal event video data dynamically uploaded by the first camera and the target area video data dynamically uploaded by the second camera are received. Optionally, the high power consumption domain in the above-mentioned multi-core heterogeneous system includes a neural processing unit (NPU, Neural Processing Unit), and the intelligent analysis model is integrated in the neural processing unit. The target area video data and the abnormal event video data are analyzed by the intelligent analysis model, and the abnormal event type and abnormal hazard level are output. The abnormal event type may include but is not limited to dynamic living bodies, temperature abnormalities, and reagent detection abnormalities.
[0067] In some embodiments, when the abnormal event processing completion signal is generated, the high power consumption domain is stopped from being powered, the second camera is put back into sleep mode, and the low power consumption domain is kept powered, so that the first camera remains in working state and continues to operate with low power consumption.
[0068] In some embodiments, the above method may further include steps S401 to S402:
[0069] Step S401, when the abnormal hazard level is greater than a preset level threshold, an abnormal alarm signal is generated;
[0070] Step S402, uploading abnormal event monitoring information and abnormal alarm signals to the monitoring platform.
[0071] In some embodiments, when the abnormal hazard level is greater than a preset level threshold, the abnormal event monitoring information and the abnormal alarm signal are reported to the monitoring platform, and the monitoring platform performs a secondary determination.
[0072] Reference Figure 2 , Figure 2 : is an optional structural diagram of a camera control device provided in an embodiment of the present application, the device is used to implement the above-mentioned camera control method, and the device may include:
[0073] The first module is used to control the first camera to monitor the target area and identify abnormal events, and receive abnormal event perception signals and corresponding abnormal event video data fed back by the first camera;
[0074] A second module is used to wake up a second camera in response to an abnormal event sensing signal, wherein the first camera and the second camera are integrated in the same multi-core heterogeneous system;
[0075] The third module is used to control the awakened second camera to dynamically collect the target area video data, receive the target area video data, analyze the target area video data and the abnormal event video data, and generate the abnormal event analysis result and the abnormal event processing completion signal;
[0076] The fourth module is used to control the second camera to enter a sleep state according to the abnormal event processing completion signal.
[0077] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.
[0078] The embodiment of the present application also provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the above camera control method when executing the computer program. The electronic device can be any smart terminal including a tablet computer.
[0079] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.
[0080] See also Figure 3 , Figure 3 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:
[0081] The processor 901 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;
[0082] The memory 902 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 902 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 902, and the processor 901 calls and executes the camera control method of the embodiment of this application;
[0083] Input / output interface 903, used to implement information input and output;
[0084] Communication interface 904, used to realize communication interaction between the device and other devices, which can be realized by wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WIFI, Bluetooth, etc.);
[0085] A bus 905 that transmits information between various components of the device (e.g., the processor 901, the memory 902, the input / output interface 903, and the communication interface 904);
[0086] The processor 901 , the memory 902 , the input / output interface 903 and the communication interface 904 are connected to each other in communication within the device via a bus 905 .
[0087] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned camera control method is implemented.
[0088] It can be understood that the contents of the above method embodiments are all applicable to the present storage medium embodiments, the functions specifically implemented by the present storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.
[0089] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0090] The embodiments of the present application provide a camera control method, device, electronic device and storage medium, which can automatically acquire and recognize images, reduce power consumption, are applicable to image acquisition scenarios under various environmental conditions, and improve the accuracy of image recognition.
[0091] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.
[0092] Those skilled in the art will appreciate that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.
[0093] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0094] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.
[0095] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0096] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.
[0097] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0098] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0099] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0100] It should be appreciated that embodiments of the present invention may be implemented or enforced by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable memory. The method may be implemented in a computer program using standard programming techniques including a non-transitory computer-readable storage medium configured with a computer program, wherein the storage medium so configured causes the computer to operate in a specific and predefined manner - according to the methods and drawings described in the specific embodiments. Each program may be implemented in a high-level procedural or object-oriented programming language to communicate with a computer system. However, if desired, the program may be implemented in an assembly or machine language. In any case, the language may be a compiled or interpreted language. In addition, the program may be run on a programmed ASIC for this purpose.
[0101] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.
[0102] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.
Claims
1. A camera control method, characterized in that: The method comprises the following steps: Controlling the first camera to monitor the target area and identify abnormal events, and receiving abnormal event perception signals and corresponding abnormal event video data fed back by the first camera; In response to the abnormal event sensing signal, waking up a second camera, wherein the first camera and the second camera are integrated into the same multi-core heterogeneous system; Controlling the awakened second camera to dynamically collect the target area video data, receiving the target area video data, analyzing the target area video data and the abnormal event video data, and generating an abnormal event analysis result and an abnormal event processing completion signal; According to the abnormal event processing completion signal, the second camera is controlled to enter a sleep state.
2. The camera control method according to claim 1, characterized in that: The controlling the first camera to monitor the target area and identify abnormal events, and receiving the abnormal event perception signal and corresponding abnormal event video data fed back by the first camera specifically includes: When the first camera captures a dynamic living body in the target area, the first camera dynamically collects corresponding first abnormal video data and generates a first abnormal perception signal; When the first camera identifies a preset chemical reagent in the target area, the first camera dynamically collects corresponding second abnormal video data and generates a second abnormal perception signal; When the first camera monitors that the current ambient temperature change value corresponding to the target area is greater than a given threshold, the first camera dynamically collects corresponding third abnormal video data and generates a third abnormal perception signal.
3. The camera control method according to claim 1, characterized in that: The step of waking up the second camera in response to the abnormal event sensing signal specifically includes: In response to the abnormal event sensing signal, dynamically generate a camera wake-up instruction; The second camera is woken up according to the camera wake-up instruction.
4. The camera control method according to claim 1, characterized in that: The second camera after being awakened by the control dynamically collects the target area video data, receives the target area video data, analyzes the target area video data and the abnormal event video data, and generates an abnormal event analysis result and an abnormal event processing completion signal, specifically including: Controlling the awakened second camera to dynamically collect the target area video data, and transmitting the target area video data and the abnormal event video data to the intelligent analysis model; Using the intelligent analysis model to perform event analysis based on the abnormal event video data and the target area video data, and determine the abnormal event type and abnormal hazard level; The abnormal event type, abnormal hazard level, abnormal event video data and target area video data are bound to generate abnormal event monitoring information and the abnormal event processing completion signal.
5. The camera control method according to claim 4, characterized in that: The method further comprises: When the abnormal hazard level is greater than a preset level threshold, an abnormal alarm signal is generated; The abnormal event monitoring information and the abnormal alarm signal are uploaded to the monitoring platform.
6. The camera control method according to claim 1, characterized in that: Before executing the step of controlling the first camera to monitor the target area and identify abnormal events, and receiving the abnormal event perception signal and corresponding abnormal event video data fed back by the first camera, the method includes the following steps: The first camera and the second camera are initialized, the first camera is put into a working state, and the second camera is put into a dormant state, wherein the first camera is an infrared short-wave camera.
7. The camera control method according to claim 6, characterized in that: Initializing the first camera and the second camera, placing the first camera in a working state, and placing the second camera in a dormant state, specifically includes: receiving a first camera control instruction, supplying power to the first camera, and placing the first camera in the working state; Receive a second camera control instruction, stop supplying power to the second camera, and put the second camera into the sleep state.
8. A camera control device, characterized in that: The device comprises: The first module is used to control the first camera to monitor the target area and identify abnormal events, and receive abnormal event perception signals and corresponding abnormal event video data fed back by the first camera; A second module is configured to wake up a second camera in response to the abnormal event sensing signal, wherein the first camera and the second camera are integrated in the same multi-core heterogeneous system; The third module is used to control the awakened second camera to dynamically collect the target area video data, receive the target area video data, analyze the target area video data and the abnormal event video data, and generate an abnormal event analysis result and an abnormal event processing completion signal; The fourth module is used to control the second camera to enter a sleep state according to the abnormal event processing completion signal.
9. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the camera control method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the camera control method according to any one of claims 1 to 7 is implemented.
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