Operation control method of target object monitoring system and related equipment

Abstract

The invention provides an operation control method of a target object monitoring system and related equipment, and in the operation control method of the target object monitoring system provided by the invention, the monitoring frame rate of the target object monitoring system is determined by judging whether a target object meets a preset monitoring condition or not. And when the target object does not meet the preset monitoring condition, reducing the monitoring frame rate of the target object monitoring system to the preset first frame rate so as to reduce the computing resource occupation of the target object monitoring system to the whole vehicle driving system. By means of the method, it can be guaranteed that the actual monitoring effect is not affected while resources occupied by the target object monitoring system are reduced, and the problem that in the prior art, the target object monitoring system occupies too large computing resources is solved.

Description

Technical Field

[0001] The present application relates to the field of information processing technology, and in particular to an operation control method and related equipment of a target object monitoring system. Background Art

[0002] DMS (Driver Monitoring System) is a technical system used to monitor and evaluate the driver's condition. It uses the vehicle's internal cameras and related sensors to collect information, thereby monitoring the driver's fatigue, eye movements, head posture, facial expressions and other behavioral characteristics in real time while the vehicle is driving. When it detects that the driver is entering a fatigue state, it will issue an alarm to the driver through early warning, vibration and other means to ensure that the driver can stay focused and alert.

[0003] Current driver monitoring systems often require significant computing resources because they rely on cameras and various in-vehicle sensors to collect facial and behavioral information about the driver. Furthermore, when a driver is driving for extended periods, this long-term monitoring can place significant computing pressure on the entire vehicle's driving system, making it difficult to maintain stable operation of its various modules. Consequently, the system consumes excessive computing resources.

[0004] Therefore, how to solve the problem in the prior art that the driver monitoring system occupies too much computing resources has become a technical problem that technicians in this field urgently need to solve. Summary of the Invention

[0005] Based on the above problems, in order to solve the problem in the prior art that the operation of a target object monitoring system occupies too much computing resources, the present application provides an operation control method and related equipment for a target object monitoring system.

[0006] The embodiments of this application disclose the following technical solutions:

[0007] In a first aspect, the present application discloses an operation control method of a target object monitoring system, comprising:

[0008] Acquire a target image; the target image includes a target object;

[0009] Based on the target image, determining whether the target object meets a preset monitoring condition;

[0010] If the target object does not meet the preset monitoring condition, the monitoring frame rate of the target object monitoring system is reduced to a preset first frame rate.

[0011] Optionally, determining whether the target object meets a preset monitoring condition based on the target image specifically includes:

[0012] extracting a facial image of the target object from the target image;

[0013] Determining whether there is an obstruction on the face of the target object based on the facial image of the target object;

[0014] If the obstruction exists on the face of the target object, determining that the target object does not meet the preset monitoring condition;

[0015] If there is no obstruction on the face of the target object, it is determined that the target object meets the preset monitoring condition.

[0016] Optionally, before determining whether the target object meets a preset monitoring condition based on the target image, the method further includes:

[0017] Determining, based on the target image, whether there is a lens obstruction in the target image; the lens obstruction is an object that blocks the vehicle-mounted camera;

[0018] If the lens obstruction exists in the target image, an obstruction warning signal is generated; the obstruction warning signal is used to indicate that the lens obstruction exists in front of the vehicle-mounted camera.

[0019] Optionally, after reducing the monitoring frame rate of the target object monitoring system to a preset first frame rate, the method further includes:

[0020] If the target object is detected to be in an abnormal state by the target object monitoring system, the monitoring frame rate is adjusted to a preset second frame rate; the preset second frame rate is greater than the preset first frame rate.

[0021] Optionally, after determining whether the target object meets a preset monitoring condition based on the target image, the method further includes:

[0022] If the target object meets the preset monitoring condition, the monitoring frame rate is adjusted to the preset second frame rate.

[0023] Optionally, after adjusting the monitoring frame rate to the preset second frame rate, the method further includes:

[0024] If the target object is not detected as being in the abnormal state by the target object monitoring system within a preset time interval, the preset second frame rate is adjusted to the preset first frame rate.

[0025] In a second aspect, the present application discloses an operation control device for a target object monitoring system, comprising:

[0026] An acquisition module, configured to acquire a target image; the target image includes a target object;

[0027] A determination module, configured to determine whether the target object satisfies a preset monitoring condition based on the target image;

[0028] The frame rate adjustment module is used to reduce the monitoring frame rate of the target object monitoring system to a preset first frame rate when the target object does not meet the preset monitoring condition.

[0029] Optionally, the determining module is specifically configured to:

[0030] extracting a facial image of the target object from the target image;

[0031] Determining whether there is an obstruction on the face of the target object based on the facial image of the target object;

[0032] If the obstruction exists on the face of the target object, determining that the target object does not meet the preset monitoring condition;

[0033] If the obstruction exists on the face of the target object, it is determined that the target object does not meet the preset monitoring condition.

[0034] In a third aspect, the present application discloses an electronic device, comprising:

[0035] a memory for storing computer programs;

[0036] A processor is used to implement the steps of the operation control method of the target object monitoring system when executing the computer program.

[0037] In a fourth aspect, the present application discloses a vehicle comprising the electronic device.

[0038] Compared to the prior art, the present application has the following beneficial effects: The monitoring frame rate of the target object monitoring system is determined by determining whether the target object meets the preset monitoring conditions. If the target object does not meet the preset monitoring conditions, the monitoring frame rate of the target object monitoring system is reduced to a preset first frame rate, thereby reducing the computing resource usage of the vehicle driving system. The above-mentioned method of the present application can reduce the resources occupied by the target object monitoring system while ensuring that the actual monitoring effect is not affected, thus resolving the problem of excessive computing resource usage by the target object monitoring system in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0040] Figure 1 A flowchart of an operation control method of a target object monitoring system provided in an embodiment of the present application;

[0041] Figure 2 A schematic diagram of the structure of an operation control device of a target object monitoring system provided in an embodiment of the present application;

[0042] Figure 3 A schematic diagram of the structure of an operation control electronic device of a target object monitoring system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] As described above, DMS is a technical system used to monitor and evaluate the driver's condition. It uses the vehicle's internal cameras and related sensors to collect information, thereby monitoring the driver's fatigue, eye movements, head posture, facial expressions and other behavioral characteristics in real time while the vehicle is driving. When it detects that the driver is entering a fatigue state, an alarm is issued to the driver through early warning, vibration and other means to ensure that the driver can stay focused and alert.

[0044] Current driver monitoring systems often require significant computing resources because they rely on cameras and various in-vehicle sensors to collect facial and behavioral information about the driver. Furthermore, when a driver is driving for extended periods, this long-term monitoring can place significant computing pressure on the entire vehicle's driving system, making it difficult to maintain stable operation of its various modules. Consequently, the system consumes excessive computing resources.

[0045] Therefore, how to solve the problem in the prior art that the driver monitoring system occupies too much computing resources has become a technical problem that technicians in this field urgently need to solve.

[0046] In order to solve the above problems, the present application provides an operation control method and related equipment for a target object monitoring system. In the operation control method of the target object monitoring system provided by the present application, a target image including a target object is first obtained, and then based on the target image, it is determined whether the target object meets its preset monitoring conditions. If the target object does not meet the preset monitoring conditions, the monitoring frame rate of the target object monitoring system is reduced to a preset first frame rate, thereby reducing the target object monitoring system's occupation of the computing resources of the entire vehicle driving system. In the above method, the monitoring frame rate of the target object monitoring system is determined by judging whether the target object meets the preset monitoring conditions. When the target object does not meet the preset monitoring conditions, the monitoring frame rate of the target object monitoring system is reduced to the preset first frame rate, thereby reducing its occupation of the computing resources of the entire vehicle driving system. Through the above method of the present application, it is possible to reduce the resources occupied by the target object monitoring system while ensuring that the actual monitoring effect is not affected, thereby solving the problem of excessive computing resources occupied by the target object monitoring system in the prior art.

[0047] In order to help those skilled in the art better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] Method Example

[0049] See also Figure 1 , which is a flow chart of an operation control method of a target object monitoring system provided by an embodiment of the present application, as follows:

[0050] It is understood that a target object monitoring system is a system used to monitor and record specific target behaviors and activities, and the system is usually composed of sensors, cameras, monitoring software and data storage devices.

[0051] The target object monitoring system can be used in different application scenarios, such as security monitoring, video monitoring, traffic monitoring, etc. It can help users monitor the location, behavior and activities of the target object in real time, and provide real-time alarms and records. In the present application, the target object monitoring system is not limited to the driving monitoring system in the vehicle, it can be a variety of risk behavior monitoring systems for the target object, such as security monitoring, road traffic monitoring system, border monitoring system, industrial production monitoring system, etc. The above are only some examples of target object monitoring systems. This embodiment does not specifically limit the type and implementation method of the target object monitoring system. The following will introduce the operation control method of the target object monitoring system of this application in combination with the driver monitoring system in an actual vehicle, which specifically includes the following steps:

[0052] S101: Acquire a target image; the target image includes a target object.

[0053] In current vehicle driving systems, modules that occupy a certain amount of computing resources can be roughly divided into map modules, voice interaction modules, and visual function modules, based on their specific functions. The target object monitoring system is a core component of the visual function module. It can collect information related to the target object in real time through the vehicle's onboard cameras and related sensors to improve the driving safety of the target object. Therefore, based on the visual function of the target object monitoring system itself, this application aims to reduce its resource consumption in the entire vehicle driving system by reducing the resource consumption of the target object monitoring system in its visual function.

[0054] When the target object monitoring system monitors the driving status of a target object, it acquires a target image that includes the target object. This target image acquisition can be achieved using a single or multiple cameras within the vehicle, and is not limited to cameras installed within the vehicle. Cameras can be installed in locations such as the front of the vehicle, the dashboard, and the rearview mirror. These cameras can be traditional RGB cameras, infrared cameras, or even RGB-D cameras. These cameras continuously capture the entire target image, including the target object, and transmit the target image to the target object monitoring system for processing and analysis.

[0055] In some cases, a target monitoring system can utilize multiple cameras to obtain more comprehensive and accurate image information. These cameras can cover different angles and areas to capture the target's diverse expressions and movements. By leveraging data from multiple cameras, the target monitoring system can more accurately monitor and analyze the target's driving status.

[0056] S102: Based on the target image, determine whether the target object meets a preset monitoring condition.

[0057] After obtaining the target image including the target object, it will be judged based on the obtained target image whether the target object in the image meets the preset monitoring conditions. The purpose of judging the target object based on the preset monitoring conditions is to determine whether there is an obstruction on the face of the target object. When there is an obstruction on the face of the target object, such as a mask or impenetrable sunglasses, since it is unable to recognize enough facial feature information of the target object, the driving status monitoring carried out on the target object at this time will not only cause misidentification of the monitoring algorithm, but will also continue to lead to excessive occupation and waste of computing resources of the driving system. Specifically, in the process of determining whether the target object meets the preset monitoring conditions based on the target image, it can be completed through the following four steps:

[0058] Step 1: extracting the facial image of the target object from the target image;

[0059] Step 2: judging whether there is any obstruction on the face of the target object based on the facial image of the target object;

[0060] Step 3: If the obstruction exists on the face of the target object, determining that the target object does not meet the preset monitoring condition;

[0061] Step 4: If there is no obstruction on the face of the target object, it is determined that the target object meets the preset monitoring condition.

[0062] In the process of determining whether a target object meets preset monitoring conditions based on a obtained target image, the target object's facial image is first extracted from the target image to facilitate subsequent extraction of facial feature information from the facial image for target object monitoring. Then, based on the target object's facial image, a determination is made as to whether the target object's face is obstructed by an object, such as a mask, sunglasses, or a hat. If an obstruction exists on the target object's face, the target object monitoring system may be unable to accurately identify the target object's facial features. Continuing to monitor the target object at its original monitoring frame rate may result in misidentification by the monitoring algorithm. Furthermore, due to the continuous monitoring of the target object at a high frame rate, the system may over-occupy and waste the driving system's computing resources. Therefore, if an obstruction is determined on the target object's face, it is determined that the target object does not meet the preset monitoring conditions. The target object's monitoring frame rate is then reduced, thereby reducing the proportion of the driving system's computing resources occupied by the target object monitoring system.

[0063] The monitoring frame rate refers to the frequency with which the system's display or camera images are updated, evaluating and recording the system. This metric is often associated with real-time monitoring and analysis of target object behavior. A higher monitoring frame rate provides smoother, more precise image display, more accurately capturing the target object's behavior and expressions, but it also consumes more computing resources. Therefore, properly setting the monitoring frame rate can precisely control the resource usage of the target object monitoring system relative to the overall driving system.

[0064] S103: If the target object does not meet the preset monitoring condition, reducing the monitoring frame rate of the target object monitoring system to a preset first frame rate.

[0065] After determining whether the target object meets the preset monitoring conditions, if the target object does not meet the preset monitoring conditions, it indicates that there is an obstruction on the target object's face. At this time, the target object monitoring system's monitoring frame rate for the target object will be reduced to the first frame rate, thereby reducing the target object monitoring system's computing resource usage for the vehicle driving system. In actual driving scenarios, the target object monitoring system often monitors the target object's status based on the target object's facial feature information. When it detects feature information with a certain risk level, it will issue a corresponding alarm signal to ensure that the target object's attention can always be focused.

[0066] For example, when a target object yawns, the target object monitoring system detects the facial feature of the target object "yawning" and issues a corresponding alarm signal based on this information. However, the target object's "yawning" action is a continuous movement, often accompanied by the mouth opening, holding, and closing, and this movement often lasts for a short period of time. In this case, because the completion of this risky action often requires a certain continuous time, even if the monitoring frame rate for this action is reduced to single-frame monitoring, it can still detect the target object's risky behavior without affecting the actual monitoring effect. In current target object monitoring systems, the monitoring frame rate is often 60 frames per second, but the system often takes at least 20ms to process a single frame. Therefore, the excessively high frame rate in existing target object monitoring systems often leads to a certain amount of computing resource waste, placing a significant resource pressure on the vehicle driving system. By reducing the monitoring frame rate when the target object fails to meet the preset monitoring conditions, the computing resources used by the target object monitoring system can be reduced while ensuring the actual monitoring effect of the target object, thereby alleviating the resource pressure on the vehicle driving system.

[0067] As an optional implementation, before step S102, the following two steps are further included:

[0068] Step 1: determining whether there is a lens obstruction in the target image according to the target image; the lens obstruction is an object that blocks the vehicle-mounted camera;

[0069] Step 2: If the lens obstruction exists in the target image, a blocking warning signal is generated; the blocking warning signal is used to indicate that the lens obstruction exists in front of the vehicle-mounted camera.

[0070] Before determining whether the target object meets preset monitoring conditions based on the target image, it is necessary to determine whether the onboard camera used for target object monitoring is obstructed by an object to ensure smooth monitoring of the target object. Therefore, based on the captured target image, it is possible to determine whether a lens obstruction exists within the target image. It is understood that when a lens obstruction exists on the onboard camera, the captured target image often contains a large dark area. Therefore, the presence of a lens obstruction can be determined based on the depth information obtained in the target image. If a lens obstruction exists in the target image, different areas of the target image will have inconsistent depth information, indicating the presence of a lens obstruction within the target image. At this point, an obstruction warning signal is generated to inform the target object that the onboard camera is obstructed, allowing the target object to remove the lens obstruction, thereby ensuring the stable operation of the target object monitoring system for driving monitoring of the target object.

[0071] As another optional implementation, after step S103, the method further includes:

[0072] If the target object is detected to be in an abnormal state by the target object monitoring system, the monitoring frame rate is adjusted to a preset second frame rate; the preset second frame rate is greater than the preset first frame rate.

[0073] During the process of monitoring the target object by the target object monitoring system at a preset first frame rate, if an abnormal state of the target object is detected, the monitoring frame rate will be adjusted to a preset second frame rate that is higher than the preset first frame rate, thereby improving the monitoring effect of the target object and ensuring the driving safety of the target object.

[0074] As another optional implementation, after step S102, the method further includes:

[0075] If the target object meets the preset monitoring condition, adjusting the monitoring frame rate to the preset second frame rate;

[0076] In the process of determining whether the target object meets the preset monitoring conditions, if the target object meets the preset monitoring conditions, it indicates that there is no obstruction on the target object's face, and the driving status of the target object can be monitored. At this time, the monitoring frame rate will be adjusted to a preset second frame rate that is greater than the preset first frame rate. This preset second frame rate can ensure that it matches the rate at which the actual target object monitoring system processes image frames, thereby not wasting the computing resources of the entire vehicle driving system.

[0077] As another optional implementation manner, after adjusting the monitoring frame rate to the preset second frame rate, the method further includes:

[0078] If the target object is not detected as being in the abnormal state by the target object monitoring system within a preset time interval, the preset second frame rate is adjusted to the preset first frame rate.

[0079] After determining that the target object meets the preset monitoring conditions and adjusting the monitoring frame rate of the target object monitoring system to the preset second frame rate, the driving status of the target object can be continuously monitored. If the target object does not show any abnormal state after a certain period of time, the monitoring frame rate of the target object monitoring system can be readjusted to the preset first frame rate, and the target object can be monitored at a lower monitoring frame rate. Since the dangerous behavior of the target object is often a continuous behavior rather than a single instantaneous operation, while ensuring that the target object's driving state is good, a lower monitoring frame rate will not affect the actual monitoring effect of the target object monitoring system. Therefore, after a preset time interval, if the target object does not show any abnormal state, the monitoring frame rate of the target object monitoring system can be adjusted from the higher preset second frame rate to the lower preset first frame rate, thereby reducing the proportion of computing resources occupied by the target object monitoring system to the entire vehicle driving system.

[0080] This embodiment provides a method for controlling the operation of a target object monitoring system. In the method, a target image including a target object is first acquired. Based on the target image, a determination is then made as to whether the target object meets a preset monitoring condition. If the target object does not meet the preset monitoring condition, the monitoring frame rate of the target object monitoring system is reduced to a preset first frame rate, thereby reducing the computing resource usage of the target object monitoring system on the entire vehicle driving system. In the above method, the monitoring frame rate of the target object monitoring system is determined by determining whether the target object meets the preset monitoring condition. When the target object does not meet the preset monitoring condition, the monitoring frame rate of the target object monitoring system is reduced to the preset first frame rate, thereby reducing the computing resource usage of the entire vehicle driving system. Because dangerous behaviors of target objects are often continuous rather than instantaneous single actions, intermittently reducing the monitoring frame rate of the target object monitoring system does not affect the actual monitoring effect. The above method of the present application can reduce the resources occupied by the target object monitoring system while ensuring that the actual monitoring effect is not affected, thus resolving the problem of excessive computing resource usage by target object monitoring systems in the prior art.

[0081] The following introduces an operation control device of a target object monitoring system provided in an embodiment of the present application. The operation control device of a target object monitoring system described below and the operation control method of a target object monitoring system described above can refer to each other.

[0082] Device embodiment

[0083] See also Figure 2 , which is a schematic diagram of the structure of an operation control device of a target object monitoring system provided by an embodiment of the present application, specifically including the following modules:

[0084] The acquisition module 100 is used to acquire a target image; the target image includes a target object;

[0085] A determination module 200 is configured to determine whether the target object satisfies a preset monitoring condition based on the target image;

[0086] The frame rate adjustment module 300 is configured to reduce the monitoring frame rate of the target object monitoring system to a preset first frame rate when the target object does not meet the preset monitoring condition.

[0087] Optionally, the determining module is specifically configured to:

[0088] extracting a facial image of the target object from the target image;

[0089] Determining whether there is an obstruction on the face of the target object based on the facial image of the target object;

[0090] If the obstruction exists on the face of the target object, determining that the target object does not meet the preset monitoring condition;

[0091] If the obstruction exists on the face of the target object, it is determined that the target object does not meet the preset monitoring condition.

[0092] Optionally, the operation control device of the target object monitoring system further includes: an occlusion detection module; the occlusion detection module is specifically configured to:

[0093] Determining, based on the target image, whether there is a lens obstruction in the target image; the lens obstruction is an object that blocks the vehicle-mounted camera;

[0094] If the lens obstruction exists in the target image, an obstruction warning signal is generated; the obstruction warning signal is used to indicate that the lens obstruction exists in front of the vehicle-mounted camera.

[0095] Optionally, the operation control device of the target object monitoring system further includes: a first adjustment module;

[0096] The first adjustment module is configured to adjust the monitoring frame rate to a preset second frame rate when the target object is detected to be in an abnormal state by the target object monitoring system; the preset second frame rate is greater than the preset first frame rate.

[0097] Optionally, the operation control device of the target object monitoring system further includes: a second adjustment module;

[0098] The second adjustment module is configured to adjust the monitoring frame rate to the preset second frame rate when the target object meets the preset monitoring condition.

[0099] Optionally, the operation control device of the target object monitoring system further includes: a third adjustment module;

[0100] The third adjustment module is configured to adjust the preset second frame rate to the preset first frame rate when the target object is not detected as being in an abnormal state by the target object monitoring system within a preset time interval.

[0101] Electronic device embodiment

[0102] See also Figure 3 , which is a schematic diagram of the structure of an operation control device of a target object monitoring system provided by an embodiment of the present application, including:

[0103] Memory 11, for storing computer programs;

[0104] The processor 12 is configured to implement the steps of the target object monitoring system operation control method described in any of the above method embodiments when executing the computer program.

[0105] In this embodiment, the device may be a vehicle-mounted computer, a PC (Personal Computer), or a terminal device such as a smart phone, a tablet computer, a PDA, or a portable computer.

[0106] The device may include a memory 11 , a processor 12 , and a bus 13 .

[0107] The memory 11 includes at least one type of readable storage medium, including flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the device, such as the hard disk of the device. In other embodiments, the memory 11 may also be an external storage device of the device, such as a plug-in hard disk equipped on the device, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card, etc. Furthermore, the memory 11 may also include both an internal storage unit of the device and an external storage device. The memory 11 can not only be used to store application software installed on the device and various types of data, such as program code for executing a fault prediction method, but can also be used to temporarily store data that has been output or is to be output. In some embodiments, the processor 12 may be a central processing unit (CPU).

[0108] In some embodiments, the processor 12 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chip, configured to execute program codes or process data stored in the memory 11, such as program codes for executing a fault prediction method.

[0109] The bus 13 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0110] Furthermore, the device may also include a network interface 14, which may optionally include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the device and other electronic devices.

[0111] Optionally, the device may further include a user interface 15, which may include a display and an input unit such as a keyboard. The optional user interface 15 may also include a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. The display may also be appropriately referred to as a display screen or display unit, and is used to display information processed in the device and to display a visual user interface.

[0112] Figure 3 Only the device with components 11-15 is shown, and it will be understood by those skilled in the art that Figure 3 The structure shown does not constitute a limitation of the device, and may include fewer or more components than shown, or combine certain components, or arrange the components differently.

[0113] Vehicle Example

[0114] An embodiment of the present application also provides a vehicle, which includes the memory and processor in the above-mentioned electronic device embodiment.

[0115] It should be noted that the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the method device, electronic device and vehicle, since they are basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. The method device, electronic device and vehicle described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components indicated as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. A person of ordinary skill in the art can understand and implement it without expending creative work.

[0116] The above is merely one specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for controlling the operation of a target object monitoring system, characterized in that: include: Get the target image; The target image includes a target object; Based on the target image, determining whether the target object meets a preset monitoring condition; If the target object does not satisfy the preset monitoring condition, the monitoring frame rate of the target object monitoring system is reduced to a preset first frame rate.

2. The method according to claim 1, characterized in that The determining, based on the target image, whether the target object meets a preset monitoring condition specifically includes: extracting a facial image of the target object from the target image; Determining whether there is an obstruction on the face of the target object according to the facial image of the target object; If the obstruction exists on the face of the target object, determining that the target object does not meet the preset monitoring condition; If there is no obstruction on the face of the target object, it is determined that the target object meets the preset monitoring condition.

3. The method according to claim 1, characterized in that Before determining whether the target object meets a preset monitoring condition based on the target image, the method further includes: Determine, according to the target image, whether there is a lens obstruction in the target image; the lens obstruction is an object that obstructs the vehicle-mounted camera; If the lens obstruction exists in the target image, an obstruction warning signal is generated; the obstruction warning signal is used to indicate that the lens obstruction exists in front of the vehicle-mounted camera.

4. The method according to claim 1, characterized in that: After reducing the monitoring frame rate of the target object monitoring system to a preset first frame rate, the method further includes: If the target object is detected to be in an abnormal state by the target object monitoring system, the monitoring frame rate is adjusted to a preset second frame rate; the preset second frame rate is greater than the preset first frame rate.

5. The method according to claim 4, characterized in that After determining whether the target object meets the preset monitoring condition based on the target image, the method further includes: If the target object meets the preset monitoring condition, the monitoring frame rate is adjusted to the preset second frame rate.

6. The method according to claim 5, characterized in that After the monitoring frame rate is adjusted to the preset second frame rate, the method further includes: If the target object is not detected to be in the abnormal state by the target object monitoring system within a preset time interval, the preset second frame rate is adjusted to the preset first frame rate.

7. An operation control device for a target object monitoring system, characterized in that: include: An acquisition module, used for acquiring a target image; The target image includes a target object; A determination module, used to determine whether the target object meets a preset monitoring condition based on the target image; The frame rate adjustment module is used to reduce the monitoring frame rate of the target object monitoring system to a preset first frame rate when the target object does not meet the preset monitoring condition.

8. The device according to claim 7, characterized in that The determining module is specifically used for: extracting a facial image of the target object from the target image; Determining whether there is an obstruction on the face of the target object according to the facial image of the target object; If the obstruction exists on the face of the target object, determining that the target object does not meet the preset monitoring condition; If the obstruction exists on the face of the target object, it is determined that the target object does not meet the preset monitoring condition.

9. An electronic device, characterized in that: include: Memory for storing computer programs; A processor, configured to implement the steps of the operation control method of the target object monitoring system as claimed in any one of claims 1 to 6 when executing the computer program.

10. A vehicle, characterized in that: Comprising the electronic device as claimed in claim 9.

Images