Night light supplementing method and device for intelligent video monitoring and medium

Abstract

The invention discloses a nighttime light supplementing method and device for intelligent video monitoring and a medium, relates to the field of video monitoring, and solves the problem that the quality of a monitoring picture is poor when current monitoring equipment works at night, and the method comprises the steps: delimiting a target monitoring region according to a monitoring demand and a monitoring object; obtaining region specification data and region historical data of the target monitoring region; according to the area specification data and the area historical data, performing comprehensive evaluation on the area monitoring demand of the target monitoring area; acquiring equipment performance data and equipment maintenance data of the monitoring equipment corresponding to the target monitoring area, and evaluating the monitoring performance of the current monitoring equipment; according to the evaluation result of the monitoring performance, judging the adaptation condition of the monitoring equipment and the target monitoring area; according to the intelligent light supplementing method and device, the monitoring adaptability of the monitoring equipment and the monitoring area is analyzed, and intelligent light supplementing of the target monitoring area is achieved when the night working requirement cannot be met.

Description

Technical Field

[0001] The invention belongs to the field of intelligent video monitoring, and relates to a nighttime fill-in-light technology for monitoring, and specifically to a nighttime fill-in-light method, equipment and medium for intelligent video monitoring. Background Art

[0002] As an important part of the intelligent video surveillance system, night fill lighting technology provides necessary light in dark environments through additional light sources to enhance the brightness and clarity of the surveillance images. The application of this technology can not only ensure that the surveillance images are still clearly visible at night, but also improve the all-weather monitoring capabilities of the surveillance system, and effectively respond to various security threats and emergencies.

[0003] At present, when monitoring equipment works in a night working environment, there is a situation where the light distribution in the monitoring area is uneven, which affects the quality of the monitoring picture. Although monitoring equipment can use fill light when working at night, the existing fill light technology is difficult to finely control the light source compensation intensity. Excessive fill light may also cause reflection, glare and color distortion on the picture, reducing the clarity and visibility of the monitoring picture, thereby affecting the recognition accuracy of the monitored object; To this end, the present invention provides a nighttime fill-in lighting method, device and medium for intelligent video surveillance. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention aims to provide a nighttime fill-in lighting method, device and medium for intelligent video surveillance.

[0005] The technical problems to be solved by the present invention are: How to realize intelligent fill lighting for video surveillance in night environment based on the adaptation analysis results of monitoring area and monitoring equipment.

[0006] In the first aspect, in order to achieve the above-mentioned purpose, the present invention adopts the following technical solutions: A nighttime fill light method for intelligent video surveillance, the method is as follows: Step S1, defining a target monitoring area according to monitoring requirements and monitoring objects; Step S2, acquiring regional specification data and regional historical data of the target monitoring area; Step S3, comprehensively evaluating the regional monitoring requirements of the target monitoring area based on the regional specification data and the regional historical data; Step S4, obtaining equipment performance data and equipment maintenance data of the monitoring equipment corresponding to the target monitoring area, and evaluating the monitoring performance of the current monitoring equipment; Step S5, judging the compatibility of the monitoring device and the target monitoring area according to the evaluation result of the monitoring performance; Step S6, performing adaptive compensation according to the adaptation of the monitoring device and the target monitoring area.

[0007] Further, the regional specification data includes the monitoring area, the monitoring area height and the number of regional facilities of the target monitoring area; Regional historical data includes the number of monitored objects, peak personnel flow and number of historical events in the target monitoring area. The number of monitored objects is the upper limit of the number of monitored objects that exist simultaneously in the target monitoring area. The peak personnel flow is the maximum value of the flow in the target monitoring area during the night period.

[0008] Furthermore, the comprehensive evaluation process of the regional monitoring needs in step S3 specifically includes: Obtain the monitoring area QMi, monitoring area height QHi and number of regional facilities QSi of the target monitoring area; The regional complexity index FZi of the target monitoring area is calculated according to the formula FZi=(QMi×QHi)×s1+(QSi / QMi)×s2; where i is the number of the target monitoring area, s1 and s2 are weight coefficients with fixed values, the values ​​of s1 and s2 are both greater than zero, s1 is the regional scale weight, and s2 is the distribution density weight; According to the complex index interval to which the regional complex index of the target monitoring area belongs, the precision added value of the target monitoring area is obtained; Then obtain the number of monitored objects DXi, the peak value of personnel flow RLi and the number of historical events SJi in the target monitoring area; The risk estimation index FGi of the target monitoring area is calculated according to the formula FGi=DXi×a1+RLi×a2+SJi×a3; where a1, a2 and a3 are weight coefficients with fixed values, and the values ​​of a1, a2 and a3 are all greater than zero and a1+a2+a3=1; Combined with the accuracy added value and risk estimation index of the target monitoring area, the monitoring requirement value XQi of the target monitoring area is calculated by the formula. The specific formula is as follows: XQi=FGi×(1+JDi)×100%; JDi is the accuracy added value of the target monitoring area; The monitoring requirement value of the target monitoring area is compared with the monitoring performance threshold to determine whether the monitoring requirement level of the target monitoring area is the first monitoring requirement level, the second monitoring requirement level, or the third monitoring requirement level.

[0009] Furthermore, the performance of the monitoring equipment corresponding to the first monitoring requirement level is lower than the performance of the monitoring equipment corresponding to the second monitoring requirement level, and the performance of the monitoring equipment corresponding to the second monitoring requirement level is lower than the performance of the monitoring equipment corresponding to the third monitoring requirement level.

[0010] Furthermore, the device performance data specifically includes the monitoring device's lens resolution, lens depth of field, focus speed, and brightness compensation upper limit; Equipment maintenance data includes the historical working hours, historical failure times and historical repair times of the monitoring equipment.

[0011] Furthermore, the evaluation process of monitoring performance in step S4 is specifically as follows: Obtain the historical working time LTi, historical failure times LGi, and historical maintenance times LXi of the monitoring equipment corresponding to the target monitoring area, and calculate the performance attenuation value SZi of the monitoring equipment according to the formula. The specific formula is as follows: SZi=LTi×b1+(LGi+LXi)×b2; where b1 and b2 are weight coefficients with fixed values, and the values ​​of b1 and b2 are both greater than zero; The performance attenuation coefficient SXi corresponding to the monitoring device is obtained according to the performance attenuation value; Then obtain the lens resolution FBi, lens depth of field JSi, focus speed DJi and brightness compensation upper limit GBi of the monitoring device corresponding to the target monitoring area, and calculate the monitoring performance value XNi of the monitoring device corresponding to the target monitoring area according to the formula. The specific formula is as follows: XNi=(FBi×r1+JSi×r2+DJi×r3+GBi×r4)×(1-SXi)×100%; Among them, r1, r2, r3 and r4 are proportional coefficients with fixed values, and the values ​​of r1, r2, r3 and r4 are all greater than zero.

[0012] Furthermore, the adaptation evaluation process of the monitoring performance of the monitoring device and the target monitoring area in step S5 is specifically as follows: Obtain the monitoring requirement level of the target monitoring area, and set the corresponding monitoring performance critical value according to the monitoring requirement level. The corresponding relationship between the monitoring critical performance value and the monitoring requirement level is as follows: If the monitoring requirement level is the first monitoring requirement level, the corresponding monitoring performance critical value is the first monitoring performance critical value; if the monitoring requirement level is the second monitoring requirement level, the corresponding monitoring performance critical value is the second monitoring performance critical value; if the monitoring requirement level is the third monitoring requirement level, the corresponding monitoring performance critical value is the third monitoring performance critical value; wherein the third monitoring performance critical value is greater than the second monitoring performance critical value, and the second monitoring performance critical value is greater than the first monitoring performance critical value; Then, the monitoring performance value of the corresponding monitoring device in the target monitoring area is obtained and compared with the corresponding monitoring performance critical value; If the monitoring performance value of the monitoring device is greater than or equal to the corresponding monitoring performance critical value, then the adaptation of the monitoring device to the target monitoring area is determined to be qualified; If the monitoring performance value of the monitoring device is less than the corresponding monitoring performance critical value, the adaptation of the monitoring device to the target monitoring area is determined to be unqualified.

[0013] Furthermore, the adaptive compensation content in step S6 specifically includes: If the monitoring device and the target monitoring area are compatible, no compensation operation will be performed; If the adaptation between the monitoring device and the target monitoring area is unqualified, the light source device that can be used for fill light in the target monitoring area is connected in series with the monitoring device; After the light source equipment for fill-in light is connected in series, the upper limit of the brightness compensation of the monitoring equipment is simultaneously taken into account in the fill-in light performance of the monitoring equipment itself and the light source equipment for fill-in light, and the evaluation process of the monitoring equipment performance of the monitoring equipment and the adaptability of the monitoring equipment to the target monitoring area is repeated; If the monitoring device and the target monitoring area are compatible at this time, no additional operation is performed; If the adaptation between the monitoring device and the target monitoring area is unqualified at this time, the monitoring device of the target monitoring area is replaced.

[0014] In a second aspect, the present invention further provides an electronic device, the electronic device comprising: A memory storing a computer program; The processor is communicatively connected with the memory, and when the computer program is executed by the processor, a nighttime fill-in-light method for intelligent video surveillance is implemented.

[0015] In a third aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a nighttime fill-light method for intelligent video surveillance.

[0016] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. The present invention first obtains regional specification data and regional historical data of the target monitoring area, and comprehensively evaluates the regional monitoring requirements of the target monitoring area based on the regional specification data and regional historical data, and then obtains the equipment performance data and equipment maintenance data of the monitoring equipment corresponding to the target monitoring area, evaluates the monitoring performance of the current monitoring equipment, and finally judges the adaptation of the monitoring equipment to the target monitoring area based on the evaluation result of the monitoring performance. The present invention analyzes the monitoring requirements of the target monitoring area and the monitoring performance of the monitoring equipment respectively, so as to determine whether the monitoring equipment can meet the monitoring requirements of the target monitoring area; 2. The present invention performs adaptive compensation according to the compatibility between the monitoring equipment and the target monitoring area. When the monitoring equipment cannot meet the nighttime working requirements of the target monitoring area, intelligent fill lighting of the target monitoring area is achieved by adjusting the light source equipment in the target monitoring area. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0018] Figure 1 is the overall system block diagram of the present invention; Figure 2 A schematic diagram of a scene of a target monitoring area in the present invention; Figure 3 It is a schematic diagram of the internal structure of the electronic device in the present invention. DETAILED DESCRIPTION

[0019] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. 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 the present invention.

[0020] Embodiment 1: See also Figure 1 and Figure 2 As shown, the technical solution provided by the present invention is: a nighttime fill light method for intelligent video surveillance, the method is specifically as follows: Step S1, defining a target monitoring area according to monitoring requirements and monitoring objects; In this embodiment, the target monitoring area is defined according to the area range where monitoring needs exist and the distribution range of the monitoring objects, wherein the monitoring needs include safety monitoring, production monitoring, etc., and the monitoring objects include personnel, vehicles, equipment, etc. The regional characteristics of the target monitoring area include the existence of monitoring needs in the area, the presence of monitoring objects in the area for activities, or the area for long-term storage of monitoring objects; For example, the target monitoring area is a parking lot, the monitoring requirement is security monitoring, the monitoring objects are mobile personnel, vehicles and charging piles in the parking lot, and the regional characteristics are that there is a need for security monitoring in the area, there are mobile personnel activities in the area, and the area is used for long-term parking of vehicles.

[0021] Step S2, acquiring regional specification data and regional historical data of the target monitoring area; In step S2, the process of obtaining the regional specification data is as follows: The regional specification data includes the monitoring area, monitoring area height and number of regional facilities of the target monitoring area; See also Figure 2 As shown in the figure, the monitoring area area is the area of ​​the target monitoring area, the monitoring area height is the height difference between the highest point and the lowest point of the target monitoring area, if the target monitoring area is an outdoor area, the upper edge position of the monitoring range corresponding to the monitoring device is taken as the highest point of the target area, if the target monitoring area is an indoor area, the top position of the indoor area is taken as the highest point of the target area, and the number of interference objects is the number of other devices in the target monitoring area except the monitoring object; In step S2, the process of obtaining regional historical data is as follows: Regional historical data includes the number of monitored objects, peak personnel flow and number of historical events in the target monitoring area. The number of monitored objects is the upper limit of the number of monitored objects that can exist simultaneously in the target monitoring area. The peak personnel flow is the maximum value of the flow in the target monitoring area during the night period. The number of historical events is the number of alarm events and warning events that have occurred in the target monitoring area, such as human risk factors such as illegal intrusion, theft, and deliberate destruction, as well as natural risk factors such as excessive water accumulation, circuit abnormalities, and accidental fires.

[0022] Step S3, comprehensively evaluating the regional monitoring requirements of the target monitoring area based on the regional specification data and the regional historical data; In step S3, the comprehensive assessment process of regional monitoring needs specifically includes: Obtain the monitoring area QMi, monitoring area height QHi and number of regional facilities QSi of the target monitoring area, and calculate the regional complexity index FZi of the target monitoring area according to the formula, where i is the number of the target monitoring area. The formula is as follows: FZi=(QMi×QHi)×s1+(QSi / QMi)×s2; Among them, s1 and s2 are weight coefficients with fixed values, the values ​​of s1 and s2 are both greater than zero, s1 is the regional scale weight, and s2 is the distribution density weight. It can be understood that the value corresponding to s1 is used to reflect the spatial size of the target monitoring area, and the value corresponding to s2 is used to reflect the distribution density of the interference objects in the target monitoring area; Compare the regional complexity index of the target monitoring area with the complexity index interval; If the regional complexity index belongs to the first complexity index interval, the value of the precision additional value corresponding to the target monitoring area is 0; If the regional complexity index belongs to the second complexity index interval, the value of the precision additional value corresponding to the target monitoring area is j1; If the regional complexity index belongs to the third complexity index interval, the value of the precision additional value corresponding to the target monitoring area is j2; Among them, 0<j1<j2, the values ​​of the complex index interval are all greater than zero, the values ​​of the first complex index interval are all smaller than the values ​​of the second complex index interval, and the values ​​of the second complex index interval are all smaller than the values ​​of the third complex index interval; Then, the number of monitored objects DXi, the peak value of personnel flow RLi and the number of historical events SJi in the target monitoring area are obtained, and the risk estimation index FGi of the target monitoring area is calculated according to the formula. The specific formula is as follows: FGi=DXi×a1+RLi×a2+SJi×a3; where a1, a2 and a3 are weight coefficients with fixed values, and the values ​​of a1, a2 and a3 are all greater than zero and a1+a2+a3=1; The monitoring requirement value XQi of the target monitoring area is calculated according to the formula. The specific formula is as follows: XQi=FGi×(1+JDi)×100%; JDi is the accuracy added value of the target monitoring area, and the values ​​of JDi are 0, j1 and j2; Compare the monitoring demand value of the target monitoring area with the monitoring performance threshold; If the monitoring requirement value is less than or equal to the first monitoring performance threshold, the monitoring requirement level of the target monitoring area is determined to be the first monitoring requirement level; If the monitoring requirement value is greater than the first monitoring performance threshold and less than or equal to the second monitoring performance threshold, the monitoring requirement level of the target monitoring area is determined to be the second monitoring requirement level; If the monitoring requirement value is greater than the second monitoring performance threshold, the monitoring requirement level of the target monitoring area is determined to be the third monitoring requirement level; Among them, the values ​​of the first monitoring performance threshold and the second monitoring performance threshold are both greater than zero, the first monitoring performance threshold is less than the second monitoring performance threshold, the performance of the monitoring equipment corresponding to the first monitoring requirement level is lower than the performance of the monitoring equipment corresponding to the second monitoring requirement level, and the performance of the monitoring equipment corresponding to the second monitoring requirement level is lower than the performance of the monitoring equipment corresponding to the third monitoring requirement level.

[0023] Step S4, obtaining equipment performance data and equipment maintenance data of the monitoring equipment corresponding to the target monitoring area, and evaluating the monitoring performance of the current monitoring equipment; In step S4, the device performance data specifically includes the lens resolution, lens depth of field, focus speed and upper limit of brightness compensation of the monitoring device, wherein the lens resolution is used to reflect the clarity of the monitoring image, the lens depth of field is used to reflect the maximum distance that the monitoring lens can monitor, the focus speed is used to indirectly reflect the anti-motion blur performance of the monitoring device, and the upper limit of brightness compensation is used to reflect the performance upper limit of the image fill light performance of the monitoring device under low light conditions; Equipment maintenance data includes the historical working hours, historical failure times, and historical repair times of the monitoring equipment; In step S4, the evaluation process of monitoring performance is as follows: Obtain the historical working time LTi, historical failure times LGi, and historical maintenance times LXi of the monitoring equipment corresponding to the target monitoring area, and calculate the performance attenuation value SZi of the monitoring equipment according to the formula. The specific formula is as follows: SZi=LTi×b1+(LGi+LXi)×b2; where b1 and b2 are weight coefficients with fixed values, and the values ​​of b1 and b2 are both greater than zero; The performance attenuation coefficient SXi corresponding to the monitoring device is obtained according to the performance attenuation value, specifically: When the performance attenuation value ∈ [X1, X2), the performance attenuation coefficient of the monitoring device is Y1; When the performance attenuation value ∈ [X2, X3), the performance attenuation coefficient of the monitoring device is Y2; When the performance attenuation value ∈ [X3, X4), the performance attenuation coefficient of the monitoring device is Y3; where X1<X2<X3<X4, 0<Y1<Y2<Y3<1; Then obtain the lens resolution FBi, lens depth of field JSi, focus speed DJi and brightness compensation upper limit GBi of the monitoring device corresponding to the target monitoring area, and calculate the monitoring performance value XNi of the monitoring device corresponding to the target monitoring area according to the formula. The specific formula is as follows: XNi=(FBi×r1+JSi×r2+DJi×r3+GBi×r4)×(1-SXi)×100%; Among them, r1, r2, r3 and r4 are proportional coefficients with fixed values, and the values ​​of r1, r2, r3 and r4 are all greater than zero. It can be understood that the above-mentioned proportional coefficients are used to quantitatively evaluate various performance parameters of the monitoring equipment in order to evaluate the performance of the monitoring equipment during the monitoring process.

[0024] Step S5, judging the compatibility of the monitoring device and the target monitoring area according to the evaluation result of the monitoring performance; In step S5, the adaptation evaluation process of the monitoring performance of the monitoring device and the target monitoring area is as follows: Obtain the monitoring requirement level of the target monitoring area, and set the corresponding monitoring performance critical value according to the monitoring requirement level; Obtaining monitoring performance values ​​of monitoring equipment and comparing them with corresponding monitoring performance critical values; If the monitoring performance value of the monitoring device is greater than or equal to the corresponding monitoring performance critical value, then the adaptation of the monitoring device to the target monitoring area is determined to be qualified; If the monitoring performance value of the monitoring device is less than the corresponding monitoring performance critical value, the adaptation of the monitoring device to the target monitoring area is determined to be unqualified; In step S5, the corresponding relationship between the monitoring critical performance value and the monitoring requirement level is as follows: If the monitoring requirement level is the first monitoring requirement level, the corresponding monitoring performance critical value is the first monitoring performance critical value; If the monitoring requirement level is the second monitoring requirement level, the corresponding monitoring performance critical value is the second monitoring performance critical value; If the monitoring requirement level is the third monitoring requirement level, the corresponding monitoring performance critical value is the third monitoring performance critical value; wherein the third monitoring performance critical value is greater than the second monitoring performance critical value, and the second monitoring performance critical value is greater than the first monitoring performance critical value.

[0025] Step S6, performing adaptive compensation according to the adaptation of the monitoring device and the target monitoring area; In step S6, the adaptive compensation content specifically includes: If the monitoring device and the target monitoring area are compatible, no compensation operation will be performed; If the adaptation between the monitoring device and the target monitoring area is unqualified, a light source device that can be used for supplementary lighting in the target monitoring area is connected in series with the monitoring device; the light source device may be a street lamp in the target monitoring area, etc.; After the light source equipment for fill-in light is connected in series, the upper limit of the brightness compensation of the monitoring equipment is simultaneously taken into account in the fill-in light performance of the monitoring equipment itself and the light source equipment for fill-in light, and the evaluation process of the monitoring equipment performance of the monitoring equipment and the adaptability of the monitoring equipment to the target monitoring area is repeated; If the monitoring device and the target monitoring area are compatible at this time, no additional operation is performed; If the adaptation between the monitoring device and the target monitoring area is unqualified at this time, the monitoring device of the target monitoring area is replaced.

[0026] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0027] Embodiment 2: like Figure 3As shown, this embodiment provides an electronic device, which may include: a processor, a communication interface, a memory, and a system bus, wherein the processor, the communication interface, and the memory communicate with each other through the system bus. The processor may call the logic instructions in the memory to execute a nighttime fill light method for intelligent video monitoring, the method comprising: defining a target monitoring area according to monitoring requirements and monitoring objects; acquiring regional specification data and regional historical data of the target monitoring area; comprehensively evaluating the regional monitoring requirements of the target monitoring area according to the regional specification data and regional historical data; acquiring the equipment performance data and equipment maintenance data of the monitoring equipment corresponding to the target monitoring area, and evaluating the monitoring performance of the current monitoring equipment; judging the adaptability of the monitoring equipment and the target monitoring area according to the evaluation results of the monitoring performance; and performing adaptive compensation according to the adaptability of the monitoring equipment and the target monitoring area.

[0028] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0029] On the other hand, the present application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute a night-time fill lighting method for intelligent video surveillance provided by the above-mentioned methods, and the method includes: defining a target monitoring area according to monitoring requirements and monitoring objects; acquiring regional specification data and regional historical data of the target monitoring area; comprehensively evaluating the regional monitoring requirements of the target monitoring area based on the regional specification data and regional historical data; acquiring equipment performance data and equipment maintenance data of the monitoring equipment corresponding to the target monitoring area, and evaluating the monitoring performance of the current monitoring equipment; judging the compatibility of the monitoring equipment with the target monitoring area based on the evaluation results of the monitoring performance; and performing adaptive compensation based on the compatibility of the monitoring equipment with the target monitoring area.

[0030] On the other hand, the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the above-mentioned method for night-time fill lighting for intelligent video surveillance, the method comprising: defining a target monitoring area according to monitoring requirements and monitoring objects; acquiring regional specification data and regional historical data of the target monitoring area; comprehensively evaluating the regional monitoring requirements of the target monitoring area based on the regional specification data and regional historical data; acquiring equipment performance data and equipment maintenance data of the monitoring equipment corresponding to the target monitoring area, and evaluating the monitoring performance of the current monitoring equipment; judging the compatibility of the monitoring equipment with the target monitoring area based on the evaluation results of the monitoring performance; and performing adaptive compensation based on the compatibility of the monitoring equipment with the target monitoring area.

[0031] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed 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. Those of ordinary skill in the art may understand and implement it without creative work.

[0032] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0033] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A nighttime fill light method for intelligent video surveillance, characterized in that: The specific method is as follows: Step S1, defining a target monitoring area according to monitoring requirements and monitoring objects; Step S2, acquiring regional specification data and regional historical data of the target monitoring area; Step S3, comprehensively evaluating the regional monitoring requirements of the target monitoring area based on the regional specification data and the regional historical data; Step S4, obtaining equipment performance data and equipment maintenance data of the monitoring equipment corresponding to the target monitoring area, and evaluating the monitoring performance of the current monitoring equipment; Step S5, judging the compatibility of the monitoring device and the target monitoring area according to the evaluation result of the monitoring performance; Step S6, performing adaptive compensation according to the adaptation of the monitoring device and the target monitoring area.

2. A nighttime fill light method for intelligent video surveillance according to claim 1, characterized in that: The regional specification data includes the monitoring area, monitoring area height and number of regional facilities of the target monitoring area; Regional historical data includes the number of monitored objects, peak personnel flow and number of historical events in the target monitoring area. The number of monitored objects is the upper limit of the number of monitored objects that exist simultaneously in the target monitoring area. The peak personnel flow is the maximum value of the flow in the target monitoring area during the night period.

3. A nighttime fill light method for intelligent video surveillance according to claim 2, characterized in that: The comprehensive evaluation process of the regional monitoring needs in step S3 specifically includes: Obtain the monitoring area QMi, monitoring area height QHi and number of regional facilities QSi of the target monitoring area; The regional complexity index FZi of the target monitoring area is calculated according to the formula FZi=(QMi×QHi)×s1+(QSi / QMi)×s2; where i is the number of the target monitoring area, s1 and s2 are weight coefficients with fixed values, the values ​​of s1 and s2 are both greater than zero, s1 is the regional scale weight, and s2 is the distribution density weight; According to the complex index interval to which the regional complex index of the target monitoring area belongs, the precision added value of the target monitoring area is obtained; Then obtain the number of monitored objects DXi, the peak value of personnel flow RLi and the number of historical events SJi in the target monitoring area; The risk estimation index FGi of the target monitoring area is calculated according to the formula FGi=DXi×a1+RLi×a2+SJi×a3; where a1, a2 and a3 are weight coefficients with fixed values, and the values ​​of a1, a2 and a3 are all greater than zero and a1+a2+a3=1; Combined with the accuracy added value and risk estimation index of the target monitoring area, the monitoring requirement value XQi of the target monitoring area is calculated by the formula. The specific formula is as follows: XQi=FGi×(1+JDi)×100%; JDi is the accuracy added value of the target monitoring area; The monitoring requirement value of the target monitoring area is compared with the monitoring performance threshold to determine whether the monitoring requirement level of the target monitoring area is the first monitoring requirement level, the second monitoring requirement level, or the third monitoring requirement level.

4. The nighttime fill light method for intelligent video surveillance according to claim 3, characterized in that: The performance of the monitoring equipment corresponding to the first monitoring requirement level is lower than the performance of the monitoring equipment corresponding to the second monitoring requirement level, and the performance of the monitoring equipment corresponding to the second monitoring requirement level is lower than the performance of the monitoring equipment corresponding to the third monitoring requirement level.

5. The nighttime fill light method for intelligent video surveillance according to claim 3, characterized in that: The device performance data specifically includes the monitoring device’s lens resolution, lens depth of field, focus speed, and brightness compensation upper limit; Equipment maintenance data includes the historical working hours, historical failure times and historical repair times of the monitoring equipment.

6. The nighttime fill light method for intelligent video surveillance according to claim 5, characterized in that: The evaluation process of monitoring performance in step S4 is specifically as follows: Obtain the historical working time LTi, historical failure times LGi, and historical maintenance times LXi of the monitoring equipment corresponding to the target monitoring area, and calculate the performance attenuation value SZi of the monitoring equipment according to the formula. The specific formula is as follows: SZi=LTi×b1+(LGi+LXi)×b2; b1 and b2 are weight coefficients with fixed values, and the values ​​of b1 and b2 are both greater than zero; The performance attenuation coefficient SXi corresponding to the monitoring device is obtained according to the performance attenuation value; Then obtain the lens resolution FBi, lens depth of field JSi, focus speed DJi and brightness compensation upper limit GBi of the monitoring device corresponding to the target monitoring area, and calculate the monitoring performance value XNi of the monitoring device corresponding to the target monitoring area according to the formula. The specific formula is as follows: XNi=(FBi×r1+JSi×r2+DJi×r3+GBi×r4)×(1-SXi)×100%; Among them, r1, r2, r3 and r4 are proportional coefficients with fixed values, and the values ​​of r1, r2, r3 and r4 are all greater than zero.

7. A nighttime fill light method for intelligent video surveillance according to claim 6, characterized in that: The specific process of judging the adaptability between the monitoring performance of the monitoring device and the target monitoring area in step S5 is as follows: Obtain the monitoring requirement level of the target monitoring area, and set the corresponding monitoring performance critical value according to the monitoring requirement level. The corresponding relationship between the monitoring critical performance value and the monitoring requirement level is as follows: If the monitoring requirement level is the first monitoring requirement level, the corresponding monitoring performance critical value is the first monitoring performance critical value; if the monitoring requirement level is the second monitoring requirement level, the corresponding monitoring performance critical value is the second monitoring performance critical value; if the monitoring requirement level is the third monitoring requirement level, the corresponding monitoring performance critical value is the third monitoring performance critical value; wherein the third monitoring performance critical value is greater than the second monitoring performance critical value, and the second monitoring performance critical value is greater than the first monitoring performance critical value; Then, the monitoring performance value of the corresponding monitoring device in the target monitoring area is obtained and compared with the corresponding monitoring performance critical value; If the monitoring performance value of the monitoring device is greater than or equal to the corresponding monitoring performance critical value, then the adaptation of the monitoring device to the target monitoring area is determined to be qualified; If the monitoring performance value of the monitoring device is less than the corresponding monitoring performance critical value, the adaptation of the monitoring device to the target monitoring area is determined to be unqualified.

8. The nighttime fill light method for intelligent video surveillance according to claim 7, characterized in that: The adaptive compensation content in step S6 specifically includes: If the monitoring device and the target monitoring area are compatible, no compensation operation will be performed; If the adaptation between the monitoring device and the target monitoring area is unqualified, the light source device that can be used for fill light in the target monitoring area is connected in series with the monitoring device; After the light source equipment for fill-in light is connected in series, the upper limit of the brightness compensation of the monitoring equipment is simultaneously taken into account in the fill-in light performance of the monitoring equipment itself and the light source equipment for fill-in light, and the evaluation process of the monitoring equipment performance of the monitoring equipment and the adaptability of the monitoring equipment to the target monitoring area is repeated; If the monitoring device and the target monitoring area are compatible at this time, no additional operation is performed; If the adaptation between the monitoring device and the target monitoring area is unqualified at this time, the monitoring device of the target monitoring area is replaced.

9. An electronic device, characterized in that: The electronic device comprises: A memory storing a computer program; A processor is communicatively connected to the memory, and when the computer program is executed by the processor, the method described in any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method described in any one of claims 1 to 8 is implemented.

Images