Monitoring method and device, security and protection equipment and storage medium

Abstract

The invention relates to a monitoring method and device, security and protection equipment and a storage medium, the method is applied to the security and protection equipment, the security and protection equipment is used for collecting an image of a monitoring area, the security and protection equipment comprises an image signal processing module and a light supplementing module, and the method comprises the following steps: determining the ambient light intensity corresponding to the current monitoring area; determining a first control strategy for the light supplementing module according to the ambient light intensity, and determining a second control strategy for the image signal processing module according to the ambient light intensity; under the condition that the light supplementing module is controlled according to the first control strategy and the image signal processing module is controlled according to the second control strategy, an image of the current monitoring area is collected. Therefore, the definition and the image quality of the security and protection equipment can be improved, and the cruising ability of the security and protection equipment can be improved, so that the monitoring area can be monitored more efficiently and accurately.

Description

Technical Field

[0001] This application relates to the field of surveillance technology, and in particular to a surveillance method, device, security equipment, and storage medium. Background Technology

[0002] With the development and widespread use of cameras, security cameras are playing an increasingly important role in users' daily lives. Among these, the ability to clearly and completely capture and record the entire process of an accident is particularly crucial for security cameras.

[0003] In practical applications, conventional cameras, due to insufficient light sensitivity of their imaging systems, can only rely on infrared illuminators to supplement illumination at night, using infrared filters to achieve a black-and-white night vision monitoring experience. With technological advancements, black light night vision technology is gradually appearing on the market. This technology improves the light sensitivity of the imaging system by employing image sensors with larger pixel sizes using a stacked process and lenses with larger apertures, enabling cameras to capture full-color monitoring images even in low-light conditions at night.

[0004] However, in low-light environments, the above methods require the camera to use its built-in fill light to increase image clarity. The brightness of the fill light is usually set by the user, ranging from 0-100%. When the fill light is insufficient, the improvement in image clarity is not sufficient, and distant targets cannot be seen clearly. When the fill light is excessive, the image is prone to overexposure, and targets cannot be seen clearly. Moreover, for battery-powered security cameras, the continuous use of the fill light will consume a lot of the security camera's power consumption, thus seriously affecting battery life. Summary of the Invention

[0005] This application provides a monitoring method, device, security equipment, and storage medium to solve the technical problems in the prior art where security cameras, when capturing images in dark shooting environments, easily cause the target to be unclear due to the use of supplementary lighting, and also result in high power consumption, which can easily affect battery life.

[0006] In a first aspect, this application provides a monitoring method applied to security equipment, the security equipment being used to acquire images of a monitored area, the security equipment including an image signal processing module and a supplementary lighting module, the method comprising:

[0007] Determine the ambient light intensity corresponding to the current monitored area;

[0008] Based on the ambient light intensity, a first control strategy for the supplementary lighting module is determined, and a second control strategy for the image signal processing module is determined based on the ambient light intensity.

[0009] While controlling the supplementary lighting module according to the first control strategy and the image signal processing module according to the second control strategy, an image of the current monitoring area is acquired.

[0010] As one possible implementation, determining the ambient light intensity corresponding to the current monitoring area includes:

[0011] The ambient light intensity of the current monitoring area is determined by a preset hard photosensitive sensor.

[0012] or,

[0013] The ambient light intensity of the current monitoring area is determined by a preset soft photosensitive sensor.

[0014] As one possible implementation, determining the first control strategy for the supplementary lighting module based on the ambient light intensity includes:

[0015] The ambient light intensity is compared with a preset first light intensity threshold to obtain the comparison result;

[0016] If the comparison result indicates that the ambient light intensity is greater than the first light intensity threshold, the first control strategy for the supplementary lighting module is to turn off the supplementary lighting module.

[0017] If the comparison result indicates that the ambient light intensity is less than or equal to the first light intensity threshold, the target brightness of the fill light module is determined; and the first control strategy for the fill light module is determined to be to turn on the fill light module according to the target brightness.

[0018] As one possible implementation, determining the target brightness of the supplementary lighting module includes:

[0019] Determine the correspondence between the preset ambient light intensity and the brightness of the supplementary lighting module;

[0020] Using the ambient light intensity as a keyword, search for target correspondences containing the keyword in the correspondence;

[0021] The brightness values ​​included in the target correspondence are determined as the target brightness corresponding to the ambient light intensity.

[0022] As one possible implementation, determining the target brightness of the supplementary lighting module includes:

[0023] The distance to the target object within the current monitoring area is measured using a preset distance measurement module.

[0024] Determine the first correspondence between the preset light intensity and the brightness of the supplementary light module, and the second correspondence between the preset object distance and the brightness of the supplementary light module;

[0025] Based on the ambient light intensity, determine the initial brightness corresponding to the ambient light intensity from the first correspondence relationship;

[0026] Based on the target object distance, the adjustment brightness corresponding to the target object distance is determined from the second correspondence, and the adjustment brightness is used to adjust the initial brightness;

[0027] The initial brightness is adjusted according to the adjusted brightness to obtain the target brightness of the supplementary lighting module.

[0028] As one possible implementation, the supplementary lighting module includes multiple sub-supplementary lighting modules, and determining the ambient light intensity corresponding to the current monitoring area includes:

[0029] Based on the illumination range of each of the sub-illumination modules, the current monitoring area is divided into multiple sub-monitoring areas;

[0030] Determine the sub-ambient light intensity of each sub-monitoring area within the current monitoring area;

[0031] Determining the target brightness of the supplementary lighting module includes:

[0032] For each of the sub-lighting modules of the supplementary lighting module, a target sub-monitoring area within the supplementary lighting range of the sub-lighting module is determined; the target brightness of the sub-lighting module is determined based on the sub-ambient light intensity of the target sub-monitoring area.

[0033] As one possible implementation, determining the second control strategy for the image signal processing module based on the ambient light intensity includes:

[0034] The ambient light intensity is compared with a preset second light intensity threshold; the second light intensity threshold is greater than the first light intensity threshold.

[0035] If the ambient light intensity is found to be greater than or equal to the second light intensity threshold, the second control strategy for the image signal processing module is determined to be to turn off the image signal processing module.

[0036] If the ambient light intensity is found to be less than the second light intensity threshold, the second control strategy for the image signal processing module is determined to be to turn on the image signal processing module.

[0037] As one possible implementation, after acquiring the image of the currently monitored area, the following steps are also included:

[0038] The image signal processing module analyzes the acquired image to determine the shooting brightness corresponding to each of the multiple monitoring areas included in the image.

[0039] Determine the target exposure strategy based on the shooting brightness corresponding to each monitoring area;

[0040] Update the current exposure strategy to the target exposure strategy.

[0041] As one possible implementation, determining the target exposure strategy based on the shooting brightness corresponding to each monitored area includes:

[0042] The shooting brightness corresponding to each monitoring area is compared with a preset brightness threshold;

[0043] Determine the number of first monitoring areas where the shooting brightness is greater than the brightness threshold, and determine the number of second monitoring areas where the shooting brightness is less than or equal to the brightness threshold;

[0044] If it is determined that the number of the first monitoring areas is greater than the number of the second monitoring areas, the exposure time is determined as the first duration and the shutter speed is determined as the first speed;

[0045] If the number of the first monitoring areas is less than or equal to the number of the second monitoring areas, the exposure time is determined to be the second duration and the shutter speed is determined to be the second speed, wherein the first duration is greater than the second duration and the first speed is less than the second speed.

[0046] Secondly, this application provides a monitoring device applied to security equipment, the security equipment being used to acquire images of a monitored area, the security equipment including an image signal processing module and a supplementary lighting module, the device comprising:

[0047] The first determining module is used to determine the ambient light intensity corresponding to the current monitoring area;

[0048] The second determining module is used to determine a first control strategy for the supplementary lighting module based on the ambient light intensity, and to determine a second control strategy for the image signal processing module based on the ambient light intensity.

[0049] The control module is used to acquire images of the current monitoring area while controlling the supplementary lighting module according to the first control strategy and the image signal processing module according to the second control strategy.

[0050] As one possible implementation, the first determining module is specifically used for:

[0051] The ambient light intensity of the current monitoring area is determined by a preset hard photosensitive sensor.

[0052] or,

[0053] The ambient light intensity of the current monitoring area is determined by a preset soft photosensitive sensor.

[0054] As one possible implementation, the second determining module includes:

[0055] The comparison submodule is used to compare the ambient light intensity with a preset first light intensity threshold to obtain a comparison result.

[0056] The first determining submodule is configured to determine, when the comparison result indicates that the ambient light intensity is greater than the first light intensity threshold, that the first control strategy for the supplementary lighting module is to turn off the supplementary lighting module.

[0057] The second determining submodule is used to determine the target brightness of the supplementary lighting module when the comparison result indicates that the ambient light intensity is less than or equal to the first light intensity threshold.

[0058] The third determining submodule is used to determine that the first control strategy for the supplementary lighting module is to turn on the supplementary lighting module according to the target brightness.

[0059] As one possible implementation, the second determining submodule is specifically used for:

[0060] Determine the correspondence between the preset ambient light intensity and the brightness of the supplementary lighting module;

[0061] Using the ambient light intensity as a keyword, search for target correspondences containing the keyword in the correspondence;

[0062] The brightness values ​​included in the target correspondence are determined as the target brightness corresponding to the ambient light intensity.

[0063] As one possible implementation, the second determining submodule is specifically used for:

[0064] The distance to the target object within the current monitoring area is measured using a preset distance measurement module.

[0065] Determine the first correspondence between the preset light intensity and the brightness of the supplementary light module, and the second correspondence between the preset object distance and the brightness of the supplementary light module;

[0066] Based on the ambient light intensity, determine the initial brightness corresponding to the ambient light intensity from the first correspondence relationship;

[0067] Based on the target object distance, the adjustment brightness corresponding to the target object distance is determined from the second correspondence, and the adjustment brightness is used to adjust the initial brightness;

[0068] The initial brightness is adjusted according to the adjusted brightness to obtain the target brightness of the supplementary lighting module.

[0069] As one possible implementation, the first determining module is specifically used for:

[0070] Based on the illumination range of each of the sub-illumination modules, the current monitoring area is divided into multiple sub-monitoring areas;

[0071] Determine the sub-ambient light intensity of each sub-monitoring area within the current monitoring area;

[0072] The second determining submodule is specifically used for:

[0073] For each of the sub-lighting modules of the supplementary lighting module, a target sub-monitoring area within the supplementary lighting range of the sub-lighting module is determined; the target brightness of the sub-lighting module is determined based on the sub-ambient light intensity of the target sub-monitoring area.

[0074] As one possible implementation, the second determining module is specifically used for:

[0075] The ambient light intensity is compared with the first light intensity threshold, the preset second light intensity threshold, and the preset third light intensity threshold, respectively; the second light intensity threshold is greater than the first light intensity threshold, and the third light intensity threshold is less than the first light intensity threshold;

[0076] If the ambient light intensity is found to be greater than or equal to the second light intensity threshold, the second control strategy for the image signal processing module is determined to be to turn off the image signal processing module.

[0077] If the ambient light intensity is found to be less than the second light intensity threshold and greater than the first light intensity threshold, the second control strategy for the image signal processing module is determined to be to enable the image signal processing module.

[0078] If the ambient light intensity is found to be less than or equal to the first light intensity threshold and greater than the third light intensity threshold, the second control strategy for the image signal processing module is determined to be to turn off the image signal processing module.

[0079] If the ambient light intensity is found to be less than or equal to the third light intensity threshold, the second control strategy for the image signal processing module is determined to be to enable the image signal processing module.

[0080] As one possible implementation, the device further includes:

[0081] The analysis module is used to analyze the acquired image through the image signal processing module after the image of the current monitoring area is acquired, and to determine the shooting brightness corresponding to each of the multiple monitoring areas included in the image;

[0082] The third determining module is used to determine the target exposure strategy based on the shooting brightness corresponding to each monitoring area;

[0083] The update module is used to update the current exposure strategy to the target exposure strategy.

[0084] As one possible implementation, the third determining module is specifically used for:

[0085] The shooting brightness corresponding to each monitoring area is compared with a preset brightness threshold;

[0086] Determine the number of first monitoring areas where the shooting brightness is greater than the brightness threshold, and determine the number of second monitoring areas where the shooting brightness is less than or equal to the brightness threshold;

[0087] If it is determined that the number of the first monitoring areas is greater than the number of the second monitoring areas, the exposure time is determined as the first duration and the shutter speed is determined as the first speed;

[0088] If the number of the first monitoring areas is less than or equal to the number of the second monitoring areas, the exposure time is determined to be the second duration and the shutter speed is determined to be the second speed, wherein the first duration is greater than the second duration and the first speed is less than the second speed.

[0089] Thirdly, this application provides a security device, including: an image signal processing module, a supplementary lighting module, a processor, and a memory;

[0090] The image signal processing module is used to process the acquired image signals;

[0091] The supplementary lighting module is used to provide supplementary lighting to the current monitoring area of ​​the security equipment;

[0092] The processor is used to execute the image acquisition program stored in the memory to implement the monitoring method described in any one of the first aspects.

[0093] Fourthly, this application provides a storage medium storing one or more programs that can be executed by one or more processors to implement the monitoring method described in any one aspect.

[0094] The technical solution provided in this application embodiment determines the ambient light intensity corresponding to the current monitoring area, determines a first control strategy for the supplementary lighting module based on the ambient light intensity, and determines a second control strategy for the image signal processing module based on the ambient light intensity. Under the condition that the supplementary lighting module is controlled according to the first control strategy and the image signal processing module is controlled according to the second control strategy, an image of the current monitoring area is acquired. This technical solution, by incorporating an AI-based image signal processing module and a supplementary lighting module within the security equipment, allows for control of these modules based on the ambient light intensity of the monitored area during image acquisition. When monitoring the area, it relies not only on the supplementary lighting module to illuminate the environment but also on the AI-based image signal processing module to optimize the acquired image signals. This collaboration between the two modules enhances the clarity and image quality of the security equipment. Furthermore, the continuous operation of the supplementary lighting module eliminates the need for constant operation, improving the equipment's battery life. This dual approach of enhancing clarity and image quality while simultaneously improving battery life enables more efficient and accurate monitoring of the monitored area. Attached Figure Description

[0095] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0096] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments or the prior art will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without creative effort.

[0097] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0098] Figure 1 A flowchart illustrating an embodiment of a monitoring method provided in this application;

[0099] Figure 2 A flowchart illustrating an embodiment of another monitoring method provided in this application;

[0100] Figure 3 A flowchart illustrating another embodiment of the monitoring method provided in this application;

[0101] Figure 4 A flowchart illustrating another embodiment of the monitoring method provided in this application;

[0102] Figure 5 A block diagram illustrating an embodiment of a monitoring device provided in this application;

[0103] Figure 6 This is a schematic diagram of the structure of a security device provided in an embodiment of this application. Detailed Implementation

[0104] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some, not all, of the embodiments of this application. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0105] The following disclosure provides numerous different embodiments or examples for implementing various structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the scope of the invention. Furthermore, reference numerals and / or letters may be repeated in different examples. Such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed.

[0106] To address the technical problems of existing security cameras in low-light shooting environments, where supplemental lighting can easily lead to unclear targets and high power consumption, impacting battery life, this application provides a monitoring method, device, security equipment, and storage medium. By incorporating an AI-based image signal processing module and a supplemental lighting module within the security equipment, the system can control these modules based on the ambient light intensity of the monitored area during image acquisition. Monitoring not only relies on the supplemental lighting module but also on the AI-based image signal processing module to optimize the image signals within the monitored area. This collaboration between the image signal processing module and the supplemental lighting module not only improves the clarity and image quality of the security equipment but also extends its battery life by eliminating the need for continuous operation of the supplemental lighting module. This achieves both improved clarity and image quality while simultaneously enhancing battery life, enabling more efficient and accurate monitoring of the monitored area.

[0107] The monitoring method provided in this application will be further explained and described below with reference to the accompanying drawings and specific embodiments. The embodiments do not constitute a limitation on the embodiments of the present invention.

[0108] See Figure 1 This is a flowchart illustrating an embodiment of a monitoring method provided in this application. As one embodiment, Figure 1 The illustrated process can be applied to security equipment that can acquire images of a monitored area. This security equipment may include an image signal processing module and a supplementary lighting module. For example... Figure 1 As shown, the process may include the following steps:

[0109] Step 101: Determine the ambient light intensity corresponding to the current monitoring area.

[0110] The aforementioned current monitoring area refers to the actual environmental area within the shooting range of the security equipment.

[0111] The aforementioned security equipment refers to devices used to capture images of the current monitoring area or objects within the current monitoring area, such as cameras installed within the current monitoring area. These cameras can monitor the current monitoring area in real time and capture images of the current monitoring area.

[0112] The ambient light intensity mentioned above refers to the intensity of light in the current monitoring area, which can be the light intensity in the actual environment.

[0113] In one embodiment, the security device may include a hard photosensor. When determining the ambient light intensity corresponding to the current monitored area, the security device can use the hard photosensor to determine the ambient light intensity of the current monitored area. The hard photosensor can acquire the ambient light intensity based on the photosensitivity function of hardware components (such as photosensors, photoresistors, etc.). The hardware components can sense the intensity of ambient light and convert the sensed light signal into an electrical signal or other form of signal for further processing or control by the security device.

[0114] As an optional implementation, the aforementioned hard photosensitive sensor can be a photosensitive sensor that can directly acquire the ambient light signal of the current monitoring area, convert the ambient light signal into a voltage signal, and calculate the ambient light intensity corresponding to the current monitoring area using the following formula (I). The ambient light intensity can be the corresponding lux value.

[0115] E = S * V out Formula (1)

[0116] Where E refers to ambient light intensity, S refers to the sensitivity of the photosensor, and its unit can be lux / V (if the photosensor outputs current, then the unit is lux / mA), and V refers to the sensitivity of the photosensor. out It refers to the voltage signal obtained by converting the ambient light signal collected by the photosensitive sensor.

[0117] In another embodiment, the security device may include a soft photosensor. When determining the ambient light intensity corresponding to the current monitoring area, the security device can use the soft photosensor to determine the ambient light intensity corresponding to the current monitoring area. The soft photosensor is a photosensitizing function implemented based on a software algorithm. Its main function is to monitor and sense changes in ambient light through software and make corresponding adjustments or responses based on the sensing results.

[0118] As one possible implementation, the aforementioned security equipment can call a preset image acquisition module to acquire the image of the monitoring area corresponding to the current monitoring area. Then, it can call the software algorithm corresponding to the aforementioned soft photosensitive sensor to analyze and process the image of the monitoring area, thereby obtaining the ambient light intensity corresponding to the current monitoring area.

[0119] In another embodiment, the security device may include a hard photosensitive sensor and a soft photosensitive sensor. When determining the ambient light intensity corresponding to the current monitoring area, the security device may first determine the first ambient light intensity corresponding to the current monitoring area using the hard photosensitive sensor, and then determine the second ambient light intensity corresponding to the current monitoring area using the soft photosensitive sensor. Based on this, the security device may perform preset calculations on the first and second ambient light intensities to obtain the ambient light intensity corresponding to the current monitoring area.

[0120] As an optional implementation, the average of the first ambient light intensity and the second ambient light intensity can be determined as the ambient light intensity corresponding to the current monitoring area.

[0121] As another optional implementation, the first ambient light intensity and the second ambient light intensity can be weighted and summed to obtain the ambient light intensity corresponding to the current monitoring area.

[0122] Furthermore, in practical applications, the area of ​​a monitoring area is generally large. During the day, due to the relatively uniform sunlight, the overall ambient light intensity of a monitoring area may vary little. However, at night, the ambient light intensity of the monitoring area comes from the lights in a certain area (such as streetlights installed on trees), and the illumination range of the lights is small and uneven (the light intensity received by areas closer to the lights and areas farther away from the lights is different). This results in many sub-monitoring areas with different ambient light intensities within the monitoring area.

[0123] Based on this, when determining the ambient light intensity corresponding to the current monitoring area, security equipment can divide the current monitoring area into multiple sub-monitoring areas and determine the sub-ambient light intensity of each sub-monitoring area.

[0124] As an exemplary implementation, since the security equipment includes a supplementary lighting module to provide supplementary lighting to the current monitoring area when the ambient light intensity is low, the security equipment can divide the current monitoring area into multiple sub-monitoring areas based on the supplementary lighting module. Optionally, when the supplementary lighting module includes multiple sub-supplementary lighting modules, that is, when the supplementary lighting module can provide supplementary lighting to different sub-monitoring areas with different brightness, the execution subject of this application embodiment can divide the current monitoring area according to the supplementary lighting range of each sub-supplementary lighting module, thereby obtaining multiple sub-monitoring areas.

[0125] As another exemplary implementation, the purpose of the security equipment is to promptly capture images of the object or the preset event when a suspicious object appears or a preset event occurs in the current monitoring area. Therefore, when dividing the current monitoring area, the security equipment can divide it according to the areas where objects may appear or preset events may occur. That is, the areas where objects may appear or preset events may occur are divided into one sub-monitoring area, and the areas where objects may not appear or preset events may occur are divided into another sub-monitoring area. This ensures that when an object appears or a preset event occurs in the current monitoring area, a clearer image can be captured in the sub-monitoring area where the object or preset event occurs.

[0126] Step 102: Based on the ambient light intensity, determine the first control strategy for the supplementary lighting module and the second control strategy for the image signal processing module.

[0127] Step 103: While controlling the supplementary lighting module according to the first control strategy and the image signal processing module according to the second control strategy, acquire the image of the current monitoring area.

[0128] The following provides a unified explanation of steps 102 and 103:

[0129] The aforementioned supplementary lighting module refers to a device in security equipment used to supplement the lighting of the monitored area. It can increase the brightness of the monitored area by emitting light into the current monitored area, thereby achieving supplementary lighting for the current monitored area.

[0130] The high-speed image signal processing module can be an image signal processing module that combines AI (Artificial Intelligence) algorithms, such as an AI-ISP (Artificial Intelligence Image Signal Processor). It is a dedicated processor that integrates artificial intelligence algorithms and image signal processing technology. It can dynamically change the parameters of global or local areas using the calculation results of artificial intelligence algorithms to enhance image effects and improve image quality. It can also be an ISP (Image Signal Processor). This application does not limit this.

[0131] Compared to ISP, AI-ISP can process images more accurately, thereby improving image quality. However, since AI-ISP combines AI algorithms with ISP, it consumes more system resources when processing images.

[0132] In one embodiment, the image processing module may be an image signal processing module without AI algorithm (e.g., ISP), or an image signal processing module with AI algorithm (e.g., AI-ISP), and may also include an image signal processing module without AI algorithm and an image signal processing module with AI algorithm. This application embodiment does not limit this.

[0133] Furthermore, when the aforementioned image processing signal modules include both those incorporating AI algorithms and those without, the security equipment can select the optimal image processing module to process the acquired images while ensuring image quality. For example, when the ambient light intensity in the monitored area is high (e.g., during the day), the acquired images are already of high quality; therefore, to conserve system resources, an image processing module without AI algorithms can be selected. Conversely, when the ambient light intensity in the monitored area is low (e.g., at night), the acquired images are already of lower quality; therefore, an image processing module incorporating AI algorithms is needed for more precise image processing.

[0134] In one embodiment, after determining the ambient light intensity corresponding to the current monitoring area, the security device can determine the control strategy for the supplementary lighting module (hereinafter referred to as the first control strategy for ease of description) and the control strategy for the image signal processing module (hereinafter referred to as the second control strategy for ease of description) based on the ambient light intensity.

[0135] Furthermore, to simplify the process, the security equipment can pre-set the monitored area to two modes: bright mode and dark mode. Based on this, before determining the first control strategy for the supplementary lighting module and the second control strategy for the image signal processing module, the security equipment can first determine whether the currently monitored area is currently in the aforementioned dark mode.

[0136] As an optional implementation, the ambient light intensity can be compared with a preset light intensity threshold (e.g., 5 lux). If the ambient light intensity is greater than or equal to the light intensity threshold, the current monitored area is determined to be in bright mode; if the ambient light intensity is less than the light intensity threshold, the current monitored area is determined to be in dark mode. The bright mode can be either daytime or nighttime mode, where there are many lighting devices around the current monitored area, resulting in a brighter light level.

[0137] Optionally, if it is determined that the current monitoring area is in the dark mode, it means that the image is not clear when the current monitoring area is captured. Therefore, in order to improve the clarity and image quality of the current monitoring area, the first control strategy and the second control strategy can be determined to improve the clarity and image quality of the captured image of the monitoring area.

[0138] Conversely, if the current monitoring area is determined to be in the above-mentioned bright mode, it means that the light in the current monitoring area is relatively bright, and the security equipment can capture a relatively clear image of the current scene. Therefore, there is no need to adjust the current monitoring area. The supplementary lighting module and the image signal processing module can be turned off directly. In order to save system resources, the image signal processing module (such as ISP) that does not incorporate artificial intelligence algorithms can be used to capture the image of the current monitoring area.

[0139] As for how the primary control strategy for the supplementary lighting module is determined based on the ambient light intensity, it can be explained below. Figure 2 The process shown will be explained in detail here.

[0140] As an optional implementation, when determining the second control strategy for the image signal processing module based on the ambient light intensity, the second control strategy for the image signal processing module can be determined according to the range of the ambient light intensity.

[0141] As an exemplary implementation, the ambient light intensity can be compared with a preset second light intensity threshold. This second light intensity threshold is a pre-set light intensity threshold, for example, 5 lux, which is greater than the first light intensity threshold discussed below. It should be noted that the first light intensity threshold here can be the first light intensity threshold involved in determining the first control strategy for the supplementary lighting module, for example, 1 lux.

[0142] Optionally, if the ambient light intensity is found to be greater than or equal to a second light intensity threshold, it can be determined that the current monitored area is in a brighter mode. Therefore, the second control strategy for the image signal processing module can be set to turn it off. Furthermore, the image signal processing module included in the security equipment, which does not incorporate artificial intelligence algorithms, can be controlled to acquire images of the current monitored area.

[0143] Optionally, if the ambient light intensity is found to be less than the second light intensity threshold, it indicates that the current environment of the monitored area is relatively dark. Therefore, the image signal processing module can be used to optimize the captured image of the current monitored area to make the captured image clearer.

[0144] Based on this, the second control strategy for the image signal processing module can be determined to be to turn on the image signal processing module. It is understandable that since the image signal processing module can optimize the captured image of the current monitoring area, the supplementary lighting module can be turned off at this time to save power.

[0145] Subsequently, the supplementary lighting module can be controlled according to the first control strategy, and the image signal processing module can be controlled according to the second control strategy. This improves the clarity and image quality of the security equipment's capture of the current monitored area. Based on this, an image of the current monitored area can be acquired, resulting in a clearer and higher-quality image.

[0146] The technical solution provided in this application embodiment determines the ambient light intensity corresponding to the current monitoring area, determines a first control strategy for the supplementary lighting module based on the ambient light intensity, and determines a second control strategy for the image signal processing module based on the ambient light intensity. Under the condition that the supplementary lighting module is controlled according to the first control strategy and the image signal processing module is controlled according to the second control strategy, an image of the current monitoring area is acquired. This technical solution, by incorporating an AI-based image signal processing module and a supplementary lighting module within the security equipment, allows for control of these modules based on the ambient light intensity of the monitored area during image acquisition. When monitoring the area, it relies not only on the supplementary lighting module to illuminate the environment but also on the AI-based image signal processing module to optimize the acquired image signals. This collaboration between the two modules enhances the clarity and image quality of the security equipment. Furthermore, the continuous operation of the supplementary lighting module eliminates the need for constant operation, improving the equipment's battery life. This dual approach of enhancing clarity and image quality while simultaneously improving battery life enables more efficient and accurate monitoring of the monitored area.

[0147] See Figure 2 This is a flowchart of an embodiment of another monitoring method provided in this application. Figure 2 The process shown is in Figure 1 Based on the illustrated process, the specific method for determining the first control strategy for the supplementary lighting module is described. For example... Figure 2 As shown, the process may include the following steps:

[0148] Step 201: Compare the ambient light intensity with the preset first light intensity threshold to obtain the comparison result.

[0149] Step 202: If the above comparison results indicate that the ambient light intensity is greater than the first light intensity threshold, determine that the first control strategy for the supplementary lighting module is to turn off the supplementary lighting module.

[0150] The following provides a unified explanation of steps 201 and 202:

[0151] The aforementioned first light intensity threshold is a pre-set value used to measure whether the current monitoring area is in a dark environment. That is, when the ambient light intensity is less than the aforementioned first light intensity threshold, it means that the current monitoring area is in a dark environment, and the supplementary light module needs to be turned on to supplement the current shooting area in order to obtain a clearer shooting image.

[0152] In this embodiment of the application, in order to determine whether the environment of the current monitoring area needs to be supplemented with light by turning on the supplementary lighting module, the security device can compare the ambient light intensity of the current monitoring area with the preset first light intensity threshold to obtain the corresponding comparison result.

[0153] Optionally, if the above comparison results indicate that the ambient light intensity is greater than the first light intensity threshold, it indicates that the current monitored area is not in a dark environment, but rather in a bright environment (daytime or nighttime) (ambient light intensity greater than...). Figure 1 In the case of a second light intensity threshold, the image can be directly captured by a general image signal processing module. Alternatively, in a low-light environment at night (where the ambient light intensity is less than or equal to the second light intensity threshold and greater than the first light intensity threshold), the image can be optimized by an image signal processing module incorporating artificial intelligence algorithms, thereby enabling image capture. Therefore, there is no need to supplement the lighting in the current monitoring area; that is, the first control strategy for the supplementary lighting module can be determined to be to turn it off.

[0154] Step 203: If the comparison result indicates that the ambient light intensity is less than or equal to the first light intensity threshold, determine the target brightness of the supplementary lighting module.

[0155] Step 204: Determine the first control strategy for the supplementary lighting module as activating the supplementary lighting module according to the target brightness.

[0156] The following provides a unified explanation of steps 203 and 204:

[0157] The target brightness mentioned above refers to the brightness when the supplementary lighting module is turned on.

[0158] In one embodiment, as described in step 202, in order to determine whether the current monitoring area is in a dark area and to activate the supplementary lighting module, the security device can compare the ambient light intensity of the current monitoring area with a preset first light intensity threshold and obtain the comparison result.

[0159] Optionally, if the above comparison results indicate that the ambient light intensity is less than or equal to the first light intensity threshold, it means that the current monitoring area corresponding to the security device is in a dark environment and the supplementary lighting module needs to be turned on for supplementary lighting.

[0160] Based on this, the security equipment can determine the target brightness of the supplementary lighting module and determine the first control strategy for the supplementary lighting module as turning on the supplementary lighting module according to the target brightness.

[0161] As an optional implementation, the correspondence between the light intensity of the current monitored area and the brightness of the supplementary lighting module can be preset. Furthermore, this correspondence can be such that, when the light intensity is less than the aforementioned first light intensity threshold, the light intensity and the brightness of the supplementary lighting module are inversely proportional.

[0162] Based on this, when determining the target brightness of the supplementary lighting module, security equipment can first establish the correspondence between the predetermined ambient light intensity and the brightness of the supplementary lighting module. Then, based on the ambient light intensity of the currently monitored area collected above, the target brightness corresponding to that ambient light intensity can be determined from the aforementioned correspondence.

[0163] As an exemplary implementation, the current ambient light intensity can be used as the keyword to search for a target correspondence containing the keyword in the above correspondence, and the brightness value contained in the target correspondence can be determined as the target brightness corresponding to the current ambient light intensity.

[0164] As an alternative implementation, to prevent overexposure of the captured image of the target object within the current monitoring area due to excessively high target brightness, and unclear image capture due to excessively low target brightness, the security equipment can further determine the target brightness of the supplementary lighting module based on the distance of the target object. The aforementioned target object refers to the object within the current monitoring area whose image is to be captured.

[0165] Based on this, security equipment can use a preset distance measurement module to determine the target distance of a target object within the current monitoring area, or collect a pre-image of the current monitoring area and analyze the pre-image to obtain the target distance of the target object within the current monitoring area.

[0166] Then, a first correspondence between the preset light intensity and the brightness of the supplementary lighting module, and a second correspondence between the object distance and the brightness of the supplementary lighting module can be determined. In the second correspondence, the object distance and the brightness of the supplementary lighting module can be positively correlated, that is, the greater the object distance, the greater the brightness of the supplementary lighting module; the smaller the object distance, the smaller the brightness of the supplementary lighting module.

[0167] Based on this, the initial brightness corresponding to the ambient light intensity can be determined from the first correspondence relationship mentioned above, and the adjusted brightness corresponding to the target object distance can be determined from the second correspondence relationship mentioned above, based on the target object distance mentioned above.

[0168] Finally, the initial brightness can be adjusted according to the above-mentioned brightness adjustment to obtain the target brightness of the above-mentioned supplementary lighting module.

[0169] As an exemplary implementation, the average of the initial brightness and the adjusted brightness can be determined as the target brightness of the supplementary lighting module.

[0170] As another exemplary implementation, the initial brightness and the adjusted brightness can be weighted and summed to obtain the target brightness of the supplementary lighting module.

[0171] As another optional implementation, the aforementioned supplementary lighting module may include multiple sub-supplementary lighting modules. For example, if the supplementary lighting module is a supplementary light, then the supplementary light may include multiple sets of diodes, and each set of diodes constitutes a sub-supplementary lighting module. Further, as described in step 101, when determining the ambient light intensity corresponding to the current monitoring area, the current monitoring area can be divided into multiple sub-monitoring areas, thereby determining the sub-ambient light intensity of each sub-monitoring area.

[0172] Therefore, when determining the ambient light intensity corresponding to the current monitoring area, security equipment can divide the current monitoring area into multiple sub-monitoring areas based on the illumination range of each sub-lighting module. That is, the area corresponding to the illumination range of each sub-lighting module is defined as a sub-monitoring area within the current monitoring area. Then, the sub-ambient light intensity of each sub-monitoring area within the aforementioned current monitoring area can be determined.

[0173] Based on this, when determining the target brightness of the supplementary lighting module, a target sub-monitoring area can be determined for each sub-supplementary lighting module within the supplementary lighting range of that sub-supplementary lighting module. This target sub-monitoring area can be one or multiple, and this embodiment does not impose any limitation on this.

[0174] As an exemplary implementation, when there is only one target sub-monitoring area, the brightness of the sub-supplementary lighting module corresponding to the ambient light intensity of the target sub-monitoring area can be determined directly according to the preset correspondence between light intensity and supplementary lighting module brightness, and the brightness of the sub-supplementary lighting module can be determined as the target brightness of the sub-supplementary lighting module.

[0175] As another exemplary implementation, when there are multiple target sub-monitoring areas, the brightness of the sub-supplementary lighting module corresponding to the ambient light intensity of each target sub-monitoring area can be determined according to the preset correspondence between light intensity and supplementary lighting module brightness, and the target brightness of the sub-supplementary lighting module can be determined based on the obtained brightness of multiple sub-supplementary lighting modules.

[0176] As one implementation, the average brightness of multiple sub-lighting modules can be determined as the target brightness of the sub-lighting module.

[0177] As another implementation, the weight value of the target sub-monitoring area corresponding to the brightness of each sub-lighting module in the current monitoring area can be determined, and the weighted average brightness of the brightness of multiple sub-lighting modules can be determined, and the weighted average brightness can be determined as the target brightness of the sub-lighting module.

[0178] The technical solution provided in this application compares the ambient light intensity with a preset first light intensity threshold to obtain a comparison result. If the comparison result indicates that the ambient light intensity is greater than the first light intensity threshold, the first control strategy for the supplementary lighting module is to turn it off. If the comparison result indicates that the ambient light intensity is less than or equal to the first light intensity threshold, the target brightness of the supplementary lighting module is determined, and the first control strategy for the supplementary lighting module is to turn it on according to the target brightness. This technical solution compares the ambient light intensity of the current monitoring area of ​​the security device with a preset first light intensity threshold, determines whether the supplementary lighting module needs to be turned on to provide supplementary lighting to the current monitoring area based on the comparison result, and determines the target brightness of the supplementary lighting module when supplementary lighting is needed. It can intelligently adjust the supplementary lighting module to provide supplementary lighting to the current monitoring area based on the ambient light intensity of the current monitoring area, thereby improving the clarity and image quality of the captured image of the current monitoring area. This improves the clarity and image quality of the captured image of the current monitoring area through intelligent control of the supplementary lighting module.

[0179] See Figure 3 This is a flowchart illustrating another monitoring method provided in this application. Figure 3 The process shown is in Figure 1 and Figure 2 Based on the illustrated process, this section describes how to update the exposure strategy of security equipment after acquiring images of the current monitored area. For example... Figure 3 As shown, the process may include the following steps:

[0180] Step 301: Determine the ambient light intensity corresponding to the current monitoring area.

[0181] Step 302: Based on the ambient light intensity, determine the first control strategy for the supplementary lighting module and the second control strategy for the image signal processing module.

[0182] Step 303: While controlling the supplementary lighting module according to the first control strategy and the image signal processing module according to the second control strategy, acquire the image of the current monitoring area.

[0183] For a detailed description of steps 301 to 303, please refer to the descriptions in steps 101 to 103, which will not be repeated here.

[0184] Step 304: Analyze the acquired image using the image signal processing module to determine the shooting brightness corresponding to each of the multiple monitoring areas included in the image.

[0185] The aforementioned monitoring area refers to any one of the multiple sub-monitoring areas included in the current monitoring area corresponding to the security equipment.

[0186] In this embodiment, the current monitoring area can be divided into multiple monitoring areas. Correspondingly, the image captured from the current monitoring area also includes multiple monitoring areas. Based on this, the security equipment can analyze the captured image through an image signal processing module to determine the shooting brightness of each monitoring area included in the image.

[0187] As an exemplary implementation, the acquired image can be divided according to a preset division rule to divide the image corresponding to the current monitoring area into multiple monitoring areas, and brightness analysis can be performed on each monitoring area to obtain the shooting brightness corresponding to each monitoring area.

[0188] Step 305: Determine the target exposure strategy based on the shooting brightness corresponding to each monitoring area.

[0189] Step 306: Update the current exposure strategy to the target exposure strategy described above.

[0190] The following provides a unified explanation of steps 305 and 306:

[0191] Exposure refers to the amount of light that enters the lens and illuminates the image sensor during photography, and is controlled by a combination of aperture, shutter speed, and ISO. Correspondingly, exposure strategy refers to the settings for aperture, shutter speed, and ISO. For example, aperture size affects the depth of field of the image, shutter speed controls the exposure time of the security device, affecting motion blur, and ISO affects the light sensitivity of the security device, affecting noise in the image.

[0192] Furthermore, the aforementioned target exposure strategy is an exposure strategy to be set for the security equipment based on the shooting brightness corresponding to each monitoring area.

[0193] In this embodiment of the application, in order to obtain a clearer captured image, the security device can determine the target exposure strategy based on the shooting brightness corresponding to each monitored area in the captured image, and update the current exposure strategy of the security device to the aforementioned target exposure strategy.

[0194] Optionally, when determining the shooting brightness corresponding to each monitoring area, the shooting brightness corresponding to the monitoring area can be determined by analyzing the grayscale value or other brightness indicators of the monitoring area.

[0195] As an optional implementation, the shooting brightness corresponding to each monitored area can be compared with a preset brightness threshold. If the shooting brightness is determined to be greater than the brightness threshold, it indicates that the brightness of this monitored area is high, thus determining the number of first monitored areas with shooting brightness greater than the brightness threshold. If the shooting brightness is determined to be less than or equal to the brightness threshold, it indicates that the brightness of this monitored area is low, thus determining the number of second monitored areas with shooting brightness less than or equal to the brightness threshold. Then, based on the number of first and second monitored areas, the brightness distribution of the image can be determined, and the target exposure strategy can be determined based on the brightness distribution of the image.

[0196] Optionally, if it is determined that the number of the first monitoring areas is greater than the number of the second monitoring areas, it means that in the current brightness distribution of the image, more monitoring areas are brighter, that is, the image as a whole is in a bright state. Therefore, in order to avoid overexposure of the acquired image, the exposure time can be increased and the shutter speed can be reduced. That is, the exposure time is determined as the first duration and the shutter speed is set as the first speed. The first duration can be greater than the exposure time in the current exposure strategy, and the first speed can be less than the shutter speed in the current exposure strategy.

[0197] Optionally, if the number of first monitoring areas is less than or equal to the number of second monitoring areas, it indicates that in the current brightness distribution of the image, more monitoring areas are dark, meaning the overall image is dark. Therefore, to improve the overall image brightness, the exposure time can be reduced and the shutter speed increased. That is, the exposure time is determined as a second duration, and the shutter speed is set as a second speed. This second duration can be less than the exposure time in the current exposure strategy, and the second speed can be greater than the shutter speed in the current exposure strategy. Further, the first duration is greater than the second duration, and the first speed is less than the second speed.

[0198] The technical solution provided in this application determines the ambient light intensity corresponding to the current monitoring area, and based on the ambient light intensity, determines a first control strategy for the supplementary lighting module and a second control strategy for the image signal processing module. While controlling the supplementary lighting module according to the first control strategy and the image signal processing module according to the second control strategy, an image of the current monitoring area is acquired. The image signal processing module analyzes the acquired image to determine the shooting brightness corresponding to each of the various monitoring areas included in the image. Based on the shooting brightness corresponding to each monitoring area, a target exposure strategy is determined, and the current exposure strategy is updated to the target exposure strategy. This technical solution, by using image processing technology to analyze the brightness of different areas in the acquired image, can further determine the intensity of ambient light based on the brightness levels of different areas in the image. Therefore, it dynamically adjusts the exposure parameters according to the brightness distribution in the image, thereby increasing the clarity and image quality of the captured image.

[0199] See Figure 4 This is a flowchart illustrating another embodiment of the monitoring method provided in this application. Figure 4 The illustrated process uses a security camera as an example to describe how the supplementary lighting module is controlled according to the first control strategy, and how the image signal processing module is controlled according to the second control strategy. Figure 4 As shown, the process may include the following steps:

[0200] 1. High-precision photosensor light measurement: Before image acquisition, the security camera uses a built-in photosensor (which can directly receive ambient light signals and convert them into voltage signals, which are then converted into corresponding lux values ​​by the CPU through an algorithm) to monitor and measure the ambient light intensity in real time. The photosensor can detect and measure the light intensity in the environment in real time, collect light information from the area covered by the lens, and convert it into an electrical signal that is transmitted to the system.

[0201] 2. Analyze whether to activate the supplementary lighting module and image signal processing module: After the photosensor completes the light metering adjustment, the security camera analyzes and processes the light information obtained from the photosensor to determine the ambient light intensity of the current monitored area. It then makes a preliminary judgment on whether to activate the image signal processing module (e.g., AI-ISP) and whether to activate the supplementary lighting module (e.g., supplementary light) to improve image quality. The basic judgment is based on the following table:

[0202] Table 1

[0203]

[0204] Table 1 above uses the fill light module as a fill light lamp and the image signal processing module as an ISP and AI-ISP as examples for illustration.

[0205] Furthermore, the aforementioned AI-ISP is a combination of AI algorithms and ISP. ISP can be used to process images, and when ISP is combined with AI algorithms, the AI ​​algorithms can be deep learning algorithms. They can utilize AI computing power to deeply learn massive scenes and data, intelligently optimize complex parameters, and output algorithm models to assist in image processing, thereby greatly improving image quality and enabling more accurate image processing to achieve higher quality imaging results in certain scenarios.

[0206] However, since AI-ISP incorporates AI algorithms, its power consumption will increase. In practical applications, to save costs, security cameras should minimize power consumption while ensuring image quality. Therefore, when the ambient light intensity in the monitored area is high, the captured image quality is high, and the image can be processed by an ISP with lower power consumption. When the ambient light intensity in the monitored area is low, the captured image quality is low. Therefore, to further improve image quality, security cameras can use AI-ISP, which can process images more accurately.

[0207] 3. Image Acquisition: The security camera begins to continuously acquire multiple consecutive images. These images will be used for subsequent image processing.

[0208] 4. Exposure Adjustment: Security cameras can use image processing technology to analyze the brightness of different monitored areas within an image. This is achieved by calculating the average grayscale value of pixels or other brightness indicators. Based on the brightness of different monitored areas in the image, the ambient light intensity can be further determined. Security cameras can dynamically adjust exposure parameters according to the brightness distribution in the image. For example, if most monitored areas in the image are dark, the security camera may increase the exposure time or decrease the shutter speed to improve the overall image brightness; conversely, if most monitored areas are bright, it may correspondingly decrease the exposure time or increase the shutter speed to avoid overexposure.

[0209] 5. Target object distance detection: The security camera dynamically adjusts the brightness of the supplementary lighting module based on the target object distance detected by the distance measurement module with ranging capability, such as radar. When the target object is too far away, the supplementary lighting brightness is increased; when the target object is too close, the supplementary lighting brightness is reduced, thus achieving a balance between image quality, target detection, and power consumption. If there is no target object, or if the camera detects a change in the ambient light intensity of the current monitoring area, the camera will also detect the target object.

[0210] The technical solution provided in this application combines sensor technology, black light imaging technology, radar ranging, and intelligent image processing technology to maximize the shooting clarity of the camera in different scenarios under nighttime monitoring conditions, reduce the dependence on algorithms and system power consumption, and greatly improve the nighttime monitoring experience of security cameras.

[0211] See Figure 5 This is a block diagram illustrating an embodiment of an image acquisition device provided in this application. As one embodiment, this device can be applied to security equipment, which includes an image signal processing module incorporating artificial intelligence algorithms and a supplementary lighting module. Figure 5 As shown, the device may include:

[0212] The first determining module 51 is used to determine the ambient light intensity corresponding to the current monitoring area;

[0213] The second determining module 52 is used to determine a first control strategy for the supplementary lighting module based on the ambient light intensity, and to determine a second control strategy for the image signal processing module based on the ambient light intensity.

[0214] The control module 53 is used to acquire images of the current monitoring area when controlling the supplementary lighting module according to the first control strategy and controlling the image signal processing module according to the second control strategy.

[0215] As one possible implementation, the first determining module 51 is specifically used for:

[0216] The ambient light intensity of the current monitoring area is determined by a preset hard photosensitive sensor.

[0217] or,

[0218] The ambient light intensity of the current monitoring area is determined by a preset soft photosensitive sensor.

[0219] As one possible implementation, the second determining module 52 includes:

[0220] The comparison submodule is used to compare the ambient light intensity with a preset first light intensity threshold to obtain a comparison result.

[0221] The first determining submodule is configured to determine, when the comparison result indicates that the ambient light intensity is greater than the first light intensity threshold, that the first control strategy for the supplementary lighting module is to turn off the supplementary lighting module.

[0222] The second determining submodule is used to determine the target brightness of the supplementary lighting module when the comparison result indicates that the ambient light intensity is less than or equal to the first light intensity threshold.

[0223] The third determining submodule is used to determine that the first control strategy for the supplementary lighting module is to turn on the supplementary lighting module according to the target brightness.

[0224] As one possible implementation, the second determining submodule is specifically used for:

[0225] Determine the correspondence between the preset ambient light intensity and the brightness of the supplementary lighting module;

[0226] Using the ambient light intensity as a keyword, search for target correspondences containing the keyword in the correspondence;

[0227] The brightness values ​​included in the target correspondence are determined as the target brightness corresponding to the ambient light intensity.

[0228] As one possible implementation, the second determining submodule is specifically used for:

[0229] The distance to the target object within the current monitoring area is measured using a preset distance measurement module.

[0230] Determine the first correspondence between the preset light intensity and the brightness of the supplementary light module, and the second correspondence between the preset object distance and the brightness of the supplementary light module;

[0231] Based on the ambient light intensity, determine the initial brightness corresponding to the ambient light intensity from the first correspondence relationship;

[0232] Based on the target object distance, the adjustment brightness corresponding to the target object distance is determined from the second correspondence, and the adjustment brightness is used to adjust the initial brightness;

[0233] The initial brightness is adjusted according to the adjusted brightness to obtain the target brightness of the supplementary lighting module.

[0234] As one possible implementation, the first determining module 51 is specifically used for:

[0235] Based on the illumination range of each of the sub-illumination modules, the current monitoring area is divided into multiple sub-monitoring areas;

[0236] Determine the sub-ambient light intensity of each sub-monitoring area within the current monitoring area;

[0237] The second determining submodule is specifically used for:

[0238] For each of the sub-lighting modules of the supplementary lighting module, a target sub-monitoring area within the supplementary lighting range of the sub-lighting module is determined; the target brightness of the sub-lighting module is determined based on the sub-ambient light intensity of the target sub-monitoring area.

[0239] As one possible implementation, the second determining module 52 is specifically used for:

[0240] The ambient light intensity is compared with a preset second light intensity threshold; the second light intensity threshold is greater than the first light intensity threshold.

[0241] If the ambient light intensity is found to be greater than or equal to the second light intensity threshold, the second control strategy for the image signal processing module is determined to be to turn off the image signal processing module.

[0242] If the ambient light intensity is found to be less than the second light intensity threshold, the second control strategy for the image signal processing module is determined to be to turn on the image signal processing module.

[0243] As one possible implementation, the device further includes (not shown in the figure):

[0244] The analysis module is used to analyze the acquired image through the image signal processing module after the image of the current monitoring area is acquired, and to determine the shooting brightness corresponding to each of the multiple monitoring areas included in the image;

[0245] The third determining module is used to determine the target exposure strategy based on the shooting brightness corresponding to each monitoring area;

[0246] The update module is used to update the current exposure strategy to the target exposure strategy.

[0247] As one possible implementation, the third determining module is specifically used for:

[0248] The shooting brightness corresponding to each monitoring area is compared with a preset brightness threshold;

[0249] Determine the number of first monitoring areas where the shooting brightness is greater than the brightness threshold, and determine the number of second monitoring areas where the shooting brightness is less than or equal to the brightness threshold;

[0250] If it is determined that the number of the first monitoring areas is greater than the number of the second monitoring areas, the exposure time is determined as the first duration and the shutter speed is determined as the first speed;

[0251] If the number of the first monitoring areas is less than or equal to the number of the second monitoring areas, the exposure time is determined to be the second duration and the shutter speed is determined to be the second speed, wherein the first duration is greater than the second duration and the first speed is less than the second speed.

[0252] like Figure 6 The diagram shown is a structural schematic of a security device provided in an embodiment of this application. It includes a processor 61, a communication interface 62, a memory 63, and a communication bus 64. The processor 61, communication interface 62, and memory 63 communicate with each other via the communication bus 64.

[0253] Memory 63 is used to store computer programs;

[0254] In one embodiment of this application, when the processor 61 executes a program stored in the memory 63, it implements the monitoring method provided in any of the foregoing method embodiments, including:

[0255] Determine the ambient light intensity corresponding to the current monitored area;

[0256] Based on the ambient light intensity, a first control strategy for the supplementary lighting module is determined, and a second control strategy for the image signal processing module is determined based on the ambient light intensity.

[0257] While controlling the supplementary lighting module according to the first control strategy and the image signal processing module according to the second control strategy, an image of the current monitoring area is acquired.

[0258] This application also provides a storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the monitoring method provided in any of the foregoing method embodiments.

[0259] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0260] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented using software and a general-purpose hardware platform, or of course, using hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0261] It should be understood that the terminology used herein is for the purpose of illustrating specific embodiments of the text only and is not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a,” “an,” and “described” as used herein may also include the plural forms. The terms “comprising,” “including,” “containing,” and “having” are inclusive and therefore indicate the presence of the stated features, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not construed as requiring them to be performed in the specific order described or illustrated unless the order is explicitly indicated. It should also be understood that additional or alternative steps may be used.

[0262] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A monitoring method, characterized in that, The method is applied to security equipment used to acquire images of a monitored area. The security equipment includes an image signal processing module and a supplementary lighting module. Determine the ambient light intensity corresponding to the current monitored area; Based on the ambient light intensity, a first control strategy for the supplementary lighting module is determined, and a second control strategy for the image signal processing module is determined based on the ambient light intensity. While controlling the supplementary lighting module according to the first control strategy and the image signal processing module according to the second control strategy, an image of the current monitoring area is acquired.

2. The method according to claim 1, characterized in that, Determining the ambient light intensity corresponding to the current monitoring area includes: The ambient light intensity of the current monitoring area is determined by a preset hard photosensitive sensor. or, The ambient light intensity of the current monitoring area is determined by a preset soft photosensitive sensor.

3. The method according to claim 1, characterized in that, The step of determining a first control strategy for the supplementary lighting module based on the ambient light intensity includes: The ambient light intensity is compared with a preset first light intensity threshold to obtain the comparison result; If the comparison result indicates that the ambient light intensity is greater than the first light intensity threshold, the first control strategy for the supplementary lighting module is to turn off the supplementary lighting module. If the comparison result indicates that the ambient light intensity is less than or equal to the first light intensity threshold, the target brightness of the fill light module is determined; and the first control strategy for the fill light module is determined to be to turn on the fill light module according to the target brightness.

4. The method according to claim 3, characterized in that, Determining the target brightness of the supplementary lighting module includes: Determine the correspondence between the preset ambient light intensity and the brightness of the supplementary lighting module; Using the ambient light intensity as a keyword, search for target correspondences containing the keyword in the correspondence; The brightness values ​​included in the target correspondence are determined as the target brightness corresponding to the ambient light intensity.

5. The method according to claim 3, characterized in that, Determining the target brightness of the supplementary lighting module includes: The distance to the target object within the current monitoring area is measured using a preset distance measurement module. Determine the first correspondence between the preset light intensity and the brightness of the supplementary light module, and the second correspondence between the preset object distance and the brightness of the supplementary light module; Based on the ambient light intensity, determine the initial brightness corresponding to the ambient light intensity from the first correspondence relationship; Based on the target object distance, the adjustment brightness corresponding to the target object distance is determined from the second correspondence, and the adjustment brightness is used to adjust the initial brightness; The initial brightness is adjusted according to the adjusted brightness to obtain the target brightness of the supplementary lighting module.

6. The method according to claim 3, characterized in that, The supplementary lighting module includes multiple sub-supplementary lighting modules, and determining the ambient light intensity corresponding to the current monitoring area includes: Based on the illumination range of each of the sub-illumination modules, the current monitoring area is divided into multiple sub-monitoring areas; Determine the sub-ambient light intensity of each sub-monitoring area within the current monitoring area; Determining the target brightness of the supplementary lighting module includes: For each of the sub-lighting modules of the supplementary lighting module, a target sub-monitoring area within the supplementary lighting range of the sub-lighting module is determined; the target brightness of the sub-lighting module is determined based on the sub-ambient light intensity of the target sub-monitoring area.

7. The method according to claim 3, characterized in that, The step of determining a second control strategy for the image signal processing module based on the ambient light intensity includes: The ambient light intensity is compared with a preset second light intensity threshold; the second light intensity threshold is greater than the first light intensity threshold. If the ambient light intensity is found to be greater than or equal to the second light intensity threshold, the second control strategy for the image signal processing module is determined to be to turn off the image signal processing module. If the ambient light intensity is found to be less than the second light intensity threshold, the second control strategy for the image signal processing module is determined to be to turn on the image signal processing module.

8. The method according to claim 1, characterized in that, After acquiring the image of the current monitored area, the method further includes: The image signal processing module analyzes the acquired image to determine the shooting brightness corresponding to each of the multiple monitoring areas included in the image. Determine the target exposure strategy based on the shooting brightness corresponding to each monitoring area; Update the current exposure strategy to the target exposure strategy.

9. The method according to claim 8, characterized in that, The step of determining the target exposure strategy based on the shooting brightness corresponding to each monitored area includes: The shooting brightness corresponding to each monitoring area is compared with a preset brightness threshold; Determine the number of first monitoring areas where the shooting brightness is greater than the brightness threshold, and determine the number of second monitoring areas where the shooting brightness is less than or equal to the brightness threshold; If it is determined that the number of the first monitoring areas is greater than the number of the second monitoring areas, the exposure time is determined as the first duration and the shutter speed is determined as the first speed; If the number of the first monitoring areas is less than or equal to the number of the second monitoring areas, the exposure time is determined to be the second duration and the shutter speed is determined to be the second speed, wherein the first duration is greater than the second duration and the first speed is less than the second speed.

10. A monitoring device, characterized in that, Applied to security equipment, the security equipment is used to acquire images of a monitored area. The security equipment includes an image signal processing module and a supplementary lighting module. The device includes: The first determining module is used to determine the ambient light intensity corresponding to the current monitoring area; The second determining module is used to determine a first control strategy for the supplementary lighting module based on the ambient light intensity, and to determine a second control strategy for the image signal processing module based on the ambient light intensity. The control module is used to acquire images of the current monitoring area while controlling the supplementary lighting module according to the first control strategy and the image signal processing module according to the second control strategy.

11. A security device, characterized in that, include: Image signal processing module, fill light module, processor and memory; The image signal processing module is used to process the acquired image signals; The supplementary lighting module is used to provide supplementary lighting to the current monitoring area of ​​the security equipment; The processor is used to execute the monitoring program stored in the memory to implement the monitoring method according to any one of claims 1 to 9.

12. A storage medium, characterized in that, The storage medium stores one or more programs, which can be executed by one or more processors to implement the monitoring method according to any one of claims 1 to 9.

Images