Enterprise internal management system

Abstract

The invention belongs to the field of enterprise safety management, and discloses an enterprise internal management system which comprises a shooting module, a video processing module and a storage module. The shooting module is used for adaptively adjusting the resolution for shooting the internal space of the enterprise according to a preset rule, acquiring a monitoring video based on the adjusted resolution, and transmitting the monitoring video to the video processing module; the video processing module is used for identifying the monitoring video, judging whether the monitoring video meets an early warning condition or not, and if yes, sending out an early warning prompt; the storage module is used for storing the monitoring video; wherein the resolution for shooting the internal space of the enterprise is adaptively adjusted according to a preset rule, and the method comprises the following steps of: calculating a resolution judgment value by adopting a fixed time period; and determining the resolution for shooting the internal space of the enterprise based on the resolution judgment value. According to the invention, the storage space occupied by the monitoring video can be reduced while the effective information of the monitoring video is reserved.

Description

Technical Field

[0001] The present invention relates to the field of enterprise security management, and particularly to an enterprise internal management system. Background Art

[0002] When conducting security management in the internal space of an enterprise, it is generally carried out through the mode of cameras plus a monitoring center. Cameras are installed in each area that needs to be monitored, and then the monitoring videos obtained by the cameras are uniformly transmitted to the monitoring center. The staff in the monitoring center view the monitoring videos to achieve the security management of the internal space of the enterprise. In addition, the monitoring videos need to be stored. Since the monitoring videos are generally obtained 24 hours a day, the monitoring videos obtained in just one day will occupy a very large storage space. If the monitoring videos in a relatively long time range are stored, when there are many cameras, the storage cost will be very high. Therefore, how to reduce the occupied space of the monitoring videos while retaining the effectiveness of the monitoring videos has become a technical problem to be solved. Summary of the Invention

[0003] The purpose of the present invention is to disclose an enterprise internal management system to solve the technical problems raised in the background art.

[0004] To achieve the above purpose, the present invention adopts the following technical solutions:

[0005] The present invention provides an enterprise internal management system, including a shooting module, a video processing module, and a storage module;

[0006] The shooting module is used to adaptively adjust the resolution of shooting the internal space of the enterprise according to a preset rule, and obtain a monitoring video based on the adjusted resolution, and transmit the monitoring video to the video processing module;

[0007] The video processing module is used to identify the monitoring video and determine whether the monitoring video meets the warning conditions. If so, a warning prompt is issued;

[0008] The storage module is used to store the monitoring video;

[0009] Among them, adaptively adjusting the resolution of shooting the internal space of the enterprise according to a preset rule includes:

[0010] Calculating a resolution judgment value using a fixed time period;

[0011] Determining the resolution of shooting the internal space of the enterprise based on the resolution judgment value.

[0012] Preferably, it further includes a display module;

[0013] The display module is used to display the monitoring video obtained by the shooting module.

[0014] Preferably, the shooting module includes multiple shooting units;

[0015] Each shooting unit is responsible for shooting a monitoring area within the enterprise to obtain the monitoring video of the monitoring area.

[0016] Preferably, the shooting unit includes a camera, a computing device, and a communication device;

[0017] The computing device is used to calculate the resolution judgment value at a fixed time period, and to determine the resolution for shooting the space within the enterprise based on the resolution judgment value;

[0018] The camera is used to shoot the monitoring area based on the resolution determined by the computing device to obtain the monitoring video of the monitoring area;

[0019] The communication device is used to transmit the monitoring video to the video processing module.

[0020] Preferably, the video processing module is further used to transmit the number of the monitoring area corresponding to the monitoring video that meets the warning condition to the communication device.

[0021] Preferably, the calculation process of the resolution judgment value includes:

[0022]

[0023] midval s represents the resolution judgment value calculated after the end of the s-th time period, nor represents normalizing the calculation result within the parentheses; fra i,s and fra i,s-1 respectively represent the total number of pixels with gray value i in frame fr s and fr s-1 , nfra is the total number of pixels in fr s , fr s and fr s-1 are respectively the frames with the latest shooting time among all frames of the monitoring videos obtained in the s-th and s - 1-th time periods; lig s represents the ambient brightness when obtaining fr s , lig cmp is the set ambient brightness contrast value, ernum represents the number of monitoring areas in the set MU that meet the warning condition in the s - 1-th time period; MU is the set of monitoring areas whose distance from the camera is less than the set distance threshold; w 1 、w 2 and w 3They are the grayscale weighting value, the brightness weighting value, and the quantity weighting value respectively, and trnum is the total number of monitored areas in the MU.

[0024] Preferably, the grayscale weighting value, the brightness weighting value, and the quantity weighting value are respectively and

[0025] Preferably, determining the resolution for photographing the space inside the enterprise based on the resolution judgment value includes:

[0026] In the first step, determine whether the resolution judgment value falls within the interval If so, use the first resolution as the resolution for photographing the space inside the enterprise; if not, proceed to the second step.

[0027] In the second step, determine whether the resolution judgment value falls within the interval If so, use the second resolution as the resolution for photographing the space inside the enterprise; if not, proceed to the third step.

[0028] In the third step, determine whether the resolution judgment value falls within the interval If so, use the third resolution as the resolution for photographing the space inside the enterprise; if not, use the fourth resolution as the resolution for photographing the space inside the enterprise.

[0029] The number of pixel points of the frames photographed based on the first resolution, the second resolution, the third resolution, and the fourth resolution increases in sequence.

[0030] Preferably, issuing a warning prompt includes:

[0031] Display the numbers of the monitored areas corresponding to the monitored videos that meet the warning conditions in the display module.

[0032] Preferably, identifying the monitored videos to determine whether the monitored videos meet the warning conditions includes:

[0033] For the monitored video video obtained in the s-th time period s , judge whether each frame in video s meets the warning conditions in the order from the earliest shooting time to the latest. During the judgment, if it is found that there are frames that meet the warning conditions, it means that video s meets the warning conditions, and no further processing is performed on the remaining unjudged frames.

[0034] Beneficial effects:

[0035] Compared with the prior art, in the process of managing the internal space of an enterprise, the present invention does not use a fixed resolution to obtain surveillance videos, but dynamically adjusts the resolution of surveillance videos based on a resolution judgment value. Thus, while retaining the effective information of the surveillance videos, the storage space occupied by the surveillance videos can be reduced. This is not only conducive to the shooting module transmitting the obtained surveillance videos to the video processing module more quickly, but also reduces the occupied storage space when stored in the storage module. Therefore, the retention of surveillance videos for the original number of days can be achieved based on less storage space, reducing the management cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0037] Figure 1 FIG. is a schematic diagram of an enterprise internal management system of the present invention.

[0038] Figure 2 FIG. is another schematic diagram of an enterprise internal management system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of them. Usually, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed present invention, but only represents the selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present invention.

[0040] As Figure 1 shown in an embodiment, the present invention provides an enterprise internal management system, including a shooting module, a video processing module, and a storage module;

[0041] The shooting module is used to adaptively adjust the resolution for shooting the internal space of the enterprise according to a preset rule, obtain a surveillance video based on the adjusted resolution, and transmit the surveillance video to the video processing module;

[0042] The video processing module is used to identify the surveillance video, determine whether the surveillance video meets the early warning conditions, and if so, issue an early warning prompt;

[0043] The storage module is used to store the surveillance video;

[0044] Among them, the resolution for shooting the space inside the enterprise is adaptively adjusted according to preset rules, including:

[0045] Calculate the resolution judgment value using a fixed time period;

[0046] Determine the resolution for shooting the space inside the enterprise based on the resolution judgment value.

[0047] By dynamically adjusting the resolution of the surveillance video based on the resolution judgment value, while retaining the effective information of the surveillance video, the storage space occupied by the surveillance video can be reduced, which is beneficial for the shooting module to more quickly transmit the obtained surveillance video to the video processing module.

[0048] Preferably, as Figure 2 , it further includes a display module;

[0049] The display module is used to display the surveillance video obtained by the shooting module.

[0050] In the present invention, the display module can usually be set in the surveillance room of the enterprise.

[0051] Preferably, the shooting module includes multiple shooting units;

[0052] Each shooting unit is responsible for shooting a surveillance area inside the enterprise and obtaining the surveillance video of the surveillance area.

[0053] Correspondingly, the display module of the present invention can include multiple display screens, and each display screen displays at least the surveillance video of one surveillance area.

[0054] The surveillance areas of the present invention can include areas such as offices, parking lots, warehouses, etc. When an area is large, it can be divided into multiple small sub-areas, and a shooting unit is set in each sub-area.

[0055] Preferably, the shooting unit includes a camera, a computing device, and a communication device;

[0056] The computing device is used to calculate the resolution judgment value using a fixed time period and to determine the resolution for shooting the space inside the enterprise based on the resolution judgment value;

[0057] The camera is used to shoot the surveillance area based on the resolution determined by the computing device and obtain the surveillance video of the surveillance area;

[0058] The communication device is used to transmit the monitoring video to the video processing module.

[0059] By periodically adjusting the resolution, when the probability of useful information existing in the monitoring area is low, the resolution can be reduced, and vice versa, the resolution can be increased, so as to retain useful information while reducing the storage space occupied by the obtained video.

[0060] In the present invention, the fixed period can be 2 seconds, 5 seconds, etc. Preferably, the fixed period can be 2 seconds.

[0061] After determining the resolution with a fixed time period, the newly determined resolution is used to record the monitoring video in the next time period.

[0062] Preferably, the camera of the present invention is a camera with a fixed shooting direction.

[0063] Preferably, the video processing module is further used to transmit the number of the monitoring area corresponding to the monitoring video that meets the early warning condition to the communication device.

[0064] In the present invention, each monitoring area is numbered in advance, so that the computing device can calculate the resolution judgment value based on the number.

[0065] Preferably, the calculation process of the resolution judgment value includes:

[0066]

[0067] midval s represents the resolution judgment value calculated after the end of the s-th time period, nor represents normalizing the calculation result in the parentheses; fra i,s and fra i,s-1 respectively represent the total number of pixel points with gray value i in frame fr s and fr s-1 , nfra is the total number of pixel points in fr s , fr s and fr s-1 are respectively the frames with the latest shooting time among all frames of the monitoring videos obtained in the s-th and s-1-th time periods; lig s represents the ambient brightness when obtaining fr s , lig cmp is the set ambient brightness reference value, ernum represents the number of monitoring areas in the set MU that meet the early warning condition in the s-1-th time period; MU is the set of monitoring areas whose distance from the camera is less than the set distance threshold; the camera here refers to the one for calculating midval sthe camera of the shooting unit where the computing device is located;

[0068] w 1 、w 2 and w 3 are the gray-scale weighting value, the brightness weighting value, and the quantity weighting value respectively, and trnum is the total number of monitoring areas in the MU.

[0069] The resolution judgment value of the present invention comprehensively considers aspects such as the difference in the number of pixel points of various gray-scale values of frames in two adjacent time periods, the current ambient brightness, and the monitoring data that meets the early warning conditions in other monitoring areas that are relatively close in the most recent time period. Therefore, when the probability of the appearance of objects such as people and vehicles with monitoring value in this monitoring area is greater and the ambient brightness is worse, the resolution can be increased to a higher level to ensure the effectiveness of the monitoring video. When the probability of the appearance of objects such as people and vehicles with monitoring value is smaller and the ambient brightness is higher, the resolution can be reduced to a lower level, thereby saving the storage space occupied by the monitoring video. In addition, in the process of judging the probability of the appearance of objects such as people and vehicles with monitoring value in the present invention, the comparison is not directly based on two adjacent frames at the shooting moment, but based on the last frames captured in two adjacent time periods, which can improve the effectiveness of the comparison result. Because if the shooting time interval is small, the content change between two adjacent frames may be too small, resulting in a low probability judgment result. Moreover, the present invention also adds the factor of the number of areas that meet the early warning conditions in other monitoring areas within a certain distance range, which can increase the resolution in advance before the appearance of objects such as people and vehicles with monitoring value, thereby further improving the quality of the monitoring video.

[0070] In the present invention, the set distance threshold can be 20 meters. The distance between the monitoring area and the camera can be the distance between the center of the monitoring area and the camera.

[0071] In the present invention, when counting the number of pixel points of various gray-scale values in the frames of the monitoring video, the frame can be converted into a gray-scale image according to the weighted average method, and then the statistics can be carried out from the gray-scale image.

[0072] Preferably, the set ambient brightness reference value is 100000 lux.

[0073] Due to the normalization process, in the process of resolution judgment, the excessive influence of the value ranges of different types of numerical values on the calculation result can be avoided.

[0074] Preferably, the monitoring areas in the MU are distributed on floors with the same height.

[0075] Preferably, the gray - scale weighting value, the brightness weighting value, and the quantity weighting value are respectively and

[0076] Preferably, determining the resolution for photographing the space inside the enterprise based on the resolution judgment value includes:

[0077] In the first step, determine whether the resolution judgment value falls within the interval If so, use the first resolution as the resolution for photographing the space inside the enterprise; if not, proceed to the second step;

[0078] In the second step, determine whether the resolution judgment value falls within the interval If so, use the second resolution as the resolution for photographing the space inside the enterprise; if not, proceed to the third step;

[0079] In the third step, determine whether the resolution judgment value falls within the interval If so, use the third resolution as the resolution for photographing the space inside the enterprise; if not, use the fourth resolution as the resolution for photographing the space inside the enterprise;

[0080] The number of pixel points of the frames photographed based on the first resolution, the second resolution, the third resolution, and the fourth resolution increases in sequence.

[0081] When the resolution judgment value of the present invention is smaller, it indicates that the probability of the appearance of objects such as people and vehicles with monitoring value is smaller. At this time, the resolution of the monitoring video corresponding to the present invention is smaller. Therefore, the present invention sets corresponding resolutions for the resolution judgment values falling into different numerical intervals, so that there can be more resolution options, improving the matching degree between the resolution and the probability of the appearance of objects such as people and vehicles with monitoring value, which is conducive to more effectively saving storage space and retaining the effectiveness of the monitoring video.

[0082] For example, the first resolution, the second resolution, the third resolution, and the fourth resolution can be 360p, 480p, 720p, and 1080p respectively.

[0083] The above is only an illustrative example. The four resolutions of the present invention can also be adjusted according to actual needs. For example, the highest resolution can be increased to 8k.

[0084] Preferably, issuing a warning prompt includes:

[0085] Display the number of the monitoring area corresponding to the monitoring video that meets the warning conditions in the display module.

[0086] A display screen can be set separately to display the numbers of the monitoring areas corresponding to the monitoring videos that meet the warning conditions.

[0087] Preferably, the monitoring video is identified to determine whether the monitoring video meets the warning conditions, including:

[0088] For the monitoring video video obtained in the s-th time period s , each frame in video s is judged in order from the earliest shooting time to the latest shooting time whether it meets the warning conditions. During the judgment, if it is found that there is a frame that meets the warning conditions, it means that video s meets the warning conditions, and the remaining unjudged frames are no longer processed.

[0089] Preferably, for the h-th frame frp s in video h , the process of judging whether frp h meets the warning conditions includes:

[0090] Step 1: Partition frp h according to the pre-stored coordinate set, divide frp h into multiple regions, and save the obtained regions to the set BU h ;

[0091] Step 2: Partition frp h-1 according to the pre-stored coordinate set, divide frp h-1 into multiple regions, and save the obtained regions to the set BU h-1 ; frp h-1 represents the (h - 1)-th frame in video s ;

[0092] Step 3: According to the comparison order, sequentially perform similarity judgment on each region in BU h . When it is found that there is a region where the similarity does not meet the requirements, stop the comparison, indicating that frp h meets the warning conditions; if the similarity of each region in BU h meets the requirements, it means that frp h does not meet the warning conditions.

[0093] The coordinate set of the present invention can be extracted and stored, so that when partitioning frp h , regions can be directly obtained based on the coordinate set, which can effectively improve the efficiency of obtaining regions.

[0094] By comparing the regions with the same positions in two adjacent frames, it is possible to more timely judge frp hWhether it meets the early warning conditions.

[0095] Preferably, for BU h the area ranked q-th in the comparison order in q,h , to determine whether area q meets the similarity requirement, the process is as follows:

[0096] Obtain the area ranked q-th in the comparison order in BU h-1 ; q,h-1 ;

[0097] Calculate the similarity between area q,h and area q,h-1 . If the similarity is less than the set similarity threshold, it means that area q,h does not meet the similarity requirement.

[0098] When calculating the similarity, the Bhattacharyya coefficient can be calculated based on the histograms of the two regions, and the Bhattacharyya coefficient is used as the similarity.

[0099] Preferably, the set similarity threshold can be 0.9.

[0100] Preferably, the process of obtaining the pre-stored coordinate set includes:

[0101] Obtain the monitoring video video obtained in the (s - 1)-th time period s-1 , denoted by frp s-1,last as the frame with the latest shooting time in video s-1 ;

[0102] Divide video s-1 into N×N first regions of the same size, where N is a positive integer;

[0103] Calculate the early warning coefficient of each region respectively;

[0104] Based on the early warning coefficient, merge the first regions to obtain multiple second regions;

[0105] Respectively put the coordinates of the pixel points in each second region into a coordinate set, so as to obtain multiple coordinate sets.

[0106] The pre-stored coordinate set of the present invention is obtained by calculation based on the monitored video obtained in the previous time period. Therefore, the coordinate set can be stored in advance and directly called in subsequent calculations. Since the present invention merges the first regions through the warning coefficient, it is possible to merge the first regions with a probability that the similarity in the frame does not meet the requirements and that are connected in position into the same second region. In this way, on the one hand, the number of regions for determining whether the similarity meets the requirements in subsequent processing can be reduced, and on the other hand, it is possible to effectively improve the finding of regions where the similarity does not meet the requirements with as few comparison times as possible, so that it is possible to more quickly determine whether the monitored video meets the warning conditions, and it is possible to provide the shooting unit with the situation of whether the surrounding monitored area meets the warning conditions in a shorter time, thereby being able to more timely adjust the resolution of the monitored video.

[0107] Preferably, the value of N can be 30.

[0108] Preferably, the calculation process of the warning coefficient includes:

[0109] Obtain the set VU of monitored videos obtained in the s-Z to s-1 time periods; Z is a preset value;

[0110] Respectively obtain the frame with the latest shooting time in each monitored video of VU, and store the obtained frames in the set LU;

[0111] Respectively divide each frame in LU into N×N first regions of the same size;

[0112] For the first region firare at the u-th row and v-th column in frp s-1,last , the calculation formula for the warning coefficient wrmidx of firare u,v,s-1 is: u,v,s-1 u,v,s-1

[0113]

[0114] avegr b represents the average value of the gray values of the pixel points in the first region at the u-th row and v-th column in frame b.

[0115] The warning coefficient of the present invention is calculated based on the fluctuation of the average value of the gray values of the pixel points in the first region at the same position over a period of time. Therefore, if the fluctuation of the average value of the gray values of the pixel points in the first region at the same position in the frames in LU is greater, it indicates that the probability of an object with monitoring value, such as a moving object, appearing at that position is greater.

[0116] Preferably, the preset value is 10.

[0117] Preferably, based on the warning coefficient, the first regions are merged to obtain multiple second regions, including:

[0118] S1. Segment video s-1 and store all the obtained first regions into the set Ls, and initialize the integer i to 1;

[0119] S2. Randomly select a first region from Ls as the comparison region, and store the comparison region into the region set A i ;

[0120] S3. Delete the elements in A i from Ls;

[0121] S4. Calculate the absolute value of the difference between the warning coefficient of each first region adjacent to the comparison region in Ls and the warning coefficient of the comparison region respectively;

[0122] S5. Determine whether the minimum value among all the obtained absolute values is less than the set absolute value threshold. If so, enter S6; if not, enter S7;

[0123] S6. Store the first region corresponding to the minimum value of the absolute value into the set A i , and enter S8;

[0124] S7. Increase the value of i by 1, and enter S2;

[0125] S8. Use the first region corresponding to the minimum value of the absolute value as the next comparison region;

[0126] S9. Determine whether the number of elements in Ls is 0. If so, form a second region with all the first regions in each region set respectively; if not, enter S3.

[0127] The above merging process is realized based on the difference between the warning coefficients of two adjacent first regions in terms of position. When the difference is smaller, it means that the probability of these two first regions being merged into the same second region is greater. Such merging is beneficial to reducing the number of comparison times in the process of whether the similarity meets the requirements, and can also expand the difference between each compared region, which is beneficial to determining whether the frame meets the warning condition based on fewer cumulative comparison times.

[0128] Preferably, the set absolute value threshold is 20.

[0129] Preferably, partition frp h according to the pre-stored coordinate set, and divide frp h into multiple regions, including:

[0130] In frp hAmong them, the pixel points with coordinates belonging to the same coordinate set form a region, thus obtaining multiple regions.

[0131] Since there are multiple coordinate sets, multiple regions can be obtained.

[0132] Preferably, the process of obtaining the comparison order is as follows:

[0133] Each second region is numbered in descending order of the average of the warning coefficients of all the first regions included in the second region. The larger the average of the warning coefficients of all the first regions included in the second region, the larger the number;

[0134] The number of the second region is used as the number of the coordinate set corresponding to the second region;

[0135] The number of the coordinate set is used as the number of the region generated based on the coordinate set;

[0136] The numbers are sorted from large to small to obtain the comparison order of the regions.

[0137] The comparison order of the present invention is obtained by comparing based on the average of the warning coefficients of all the first regions included in the second region. The larger this average, the greater the probability of the occurrence of a moving object with monitoring value. Therefore, it is compared more preferentially, which can avoid judging whether the warning condition is met based on all the pixel points in the frame, and obtain the judgment result based on a shorter time, improving the judgment efficiency.

[0138] As described above, it is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. An enterprise internal management system, characterized in that: It includes a shooting module, a video processing module and a storage module; The shooting module is used to adaptively adjust the resolution of shooting the space inside the enterprise according to preset rules, obtain the monitoring video based on the adjusted resolution, and transmit the monitoring video to the video processing module; The video processing module is used to identify the surveillance video and determine whether the surveillance video meets the warning conditions. If so, a warning prompt is issued; The storage module is used to store surveillance videos; The resolution of photographing the space inside the enterprise is adaptively adjusted according to preset rules, including: A fixed time period is used to calculate the resolution judgment value; The resolution for photographing the space inside the enterprise is determined based on the resolution determination value.

2. An enterprise internal management system according to claim 1, characterized in that: Also includes a display module; The display module is used to display the surveillance video acquired by the shooting module.

3. An enterprise internal management system according to claim 1, characterized in that: The shooting module includes a plurality of shooting units; Each shooting unit is responsible for shooting a monitoring area within the enterprise and obtaining monitoring video of the monitoring area.

4. An enterprise internal management system according to claim 3, characterized in that: The shooting unit includes a camera, a computing device and a communication device; The calculation device is used to calculate the resolution judgment value using a fixed time period, and is used to determine the resolution for photographing the space inside the enterprise based on the resolution judgment value; The camera is used to photograph the monitoring area based on the resolution determined by the computing device to obtain monitoring video of the monitoring area; The communication device is used to transmit the monitoring video to the video processing module.

5. An enterprise internal management system according to claim 4, characterized in that: The video processing module is also used to transmit the number of the monitoring area corresponding to the monitoring video that meets the warning condition to the communication device.

6. An enterprise internal management system according to claim 5, characterized in that: The calculation process of the resolution judgment value includes: midval s It indicates the resolution judgment value calculated after the sth time period ends, nor indicates the normalization of the calculation result in the brackets; fra i,s and fra i,s-1 Respectively represent the frame fr s and fr s-1 The total number of pixels with grayscale value i contained in nfra is fr s The total number of pixels contained in fr s and fr s-1 The latest frame among all frames of the surveillance video obtained in the sth and s-1th time periods; s Indicates getting fr s The ambient brightness at that time, lig cmp is the set ambient brightness control value, ernum represents the number of monitoring areas corresponding to the monitoring videos that meet the warning conditions in the s-1th time period contained in the set MU; MU is the set of monitoring areas whose distance from the camera is less than the set distance threshold; w1, w2 and w3 are the grayscale weighted value, brightness weighted value and quantity weighted value respectively, and trnum is the total number of monitoring areas in MU.

7. An enterprise internal management system according to claim 6, characterized in that: The grayscale weighted value, brightness weighted value and quantity weighted value are and 8. An enterprise internal management system according to claim 7, characterized in that: The resolution for photographing the space inside the enterprise is determined based on the resolution judgment value, including: The first step is to determine whether the resolution value falls within the range If yes, the first resolution is used as the resolution for photographing the space inside the enterprise; if no, proceed to the second step; The second step is to determine whether the resolution value falls within the range. If yes, the second resolution is used as the resolution for photographing the space inside the enterprise; if no, proceed to the third step; The third step is to determine whether the resolution value falls within the range If yes, the third resolution is used as the resolution for photographing the space inside the enterprise; if no, the fourth resolution is used as the resolution for photographing the space inside the enterprise; The number of pixels of the frames captured based on the first resolution, the second resolution, the third resolution and the fourth resolution increases in sequence.

9. An enterprise internal management system according to claim 1, characterized in that: Issue early warning alerts, including: The numbers of the monitoring areas corresponding to the monitoring videos that meet the warning conditions are displayed in the display module.

10. An enterprise internal management system according to claim 1, characterized in that: Identify surveillance videos and determine whether they meet warning conditions, including: For the surveillance video video obtained in the sth time period s , according to the shooting time from morning to night, the video s Each frame in the video is judged whether it meets the warning conditions. During the judgment process, if a frame that meets the warning conditions is found, it means that the video s If the warning condition is met, the remaining frames that have not been judged will no longer be processed.

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