Safety monitoring system based on big data

Abstract

The invention discloses a security monitoring system based on big data, and relates to the technical field of security monitoring, the security monitoring system comprises a monitoring center, the monitoring center is connected with an acquisition module, a personnel management module, a processing module and an intrusion management module; the personnel management module is used for registering resident information and visitor information of personnel in a monitoring area and setting a video information base viewing permission; monitoring video information of a monitoring area is acquired through an acquisition module, and a video information base is constructed; the processing module is used for capturing a face image in the monitoring video information and processing the face image; the intrusion management module performs permission check on the user checking the monitoring video information and encrypts the monitoring video information checked by the user without permission, so that the privacy of the resident is protected, the intruder is prevented from checking and acquiring the resident information, the personal safety of the resident is maintained, and the management efficiency of the monitoring video is enhanced under the condition of realizing safety monitoring; and the reliability and the stability of safety monitoring are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of security monitoring, and specifically to a security monitoring system based on big data. Background Art

[0002] As a residential community where people live daily, it is particularly important to monitor the interior of the community, surrounding roads and environment to maintain the personal and property safety of residents. Moreover, with the rapid development of the national economy and science and technology, and the continuous improvement of people's living quality, traditional security monitoring has problems such as signal congestion resulting in untimely transmission of monitoring alarm information, leakage of collected monitoring information and privacy infringement, and relatively large measurement errors. Therefore, it is of great theoretical and practical significance to process and analyze the monitoring information obtained from security monitoring based on big data.

[0003] How to collect and process the monitoring data in the community using big data, process the monitoring video information, set the viewing permissions for the monitoring video information, and encrypt the resident information in the monitoring video information viewed by intruders to protect the privacy of community residents is a problem we need to solve. For this reason, a security monitoring system based on big data is provided herein. Summary of the Invention

[0004] The purpose of the present invention is to provide a security monitoring system based on big data, which uses big data to identify the identity information of the people entering the community and encrypts and protects the resident information in the monitoring video information viewed by intruders to prevent intruders from stealing resident information.

[0005] The technical problem to be solved by the present invention is: how to provide a security monitoring system based on big data that can prevent the leakage of resident privacy in monitoring videos and is different from traditional security monitoring.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A security monitoring system based on big data includes a monitoring center, and the monitoring center is connected with a collection module, a personnel management module, a processing module and an intrusion management module; The process of the collection module collecting the monitoring video information of the monitoring area includes: Setting monitoring points, collecting the monitoring video information of each monitoring point in real time, constructing a video information library, and storing the obtained monitoring video information into the video information library.

[0007] The process of the personnel management module registering the personnel information of the monitoring area and setting viewing permissions for users viewing the video information library includes: Setting a registration port, registering the personnel information of the personnel in the monitoring area through the registration port, and the personnel information includes resident information and visitor information; A registration unit and a login unit are set up. The registration unit is used to input the user's personal information and set the corresponding login password according to the password setting requirements. The monitoring center audits the input user personal information, generates a login account for the users who pass the audit based on their personal information. After the users complete registration, they can complete user login by entering the login account and login password in the login unit, and obtain the viewing permission of the video information library.

[0008] The process of the processing module capturing and processing the monitoring video information includes: According to the monitoring video information, capture the appearing face images, define the image range for the captured face images and mark them as identity frames. At the same time, define the image range for the corresponding body parts of the persons in the face images and mark them as additional frames. Set an identity bar at the inner top of the identity frame. The identity bar is used to display the name and identity of the person in the face image. Associate the identity frame with the additional frame to form a person contour frame. Compare the captured face images with the face images of the persons registered in the personnel management module. If they are the same, the captured face images are of the residents, and mark the person's name and "resident" on the identity bar. If they are different, they are non-resident personnel. Obtain the visitor information from the personnel management module, compare the captured face images with the visitor face images to confirm the visitor's identity, and mark the person's name and "visitor" on the identity bar.

[0009] The process of the processing module associating the person contour frame with the resident information and visitor information includes: Associate the resident information with the resident name in the identity bar, mark the associated resident information as associated information, hide the associated information at the identity bar, and display the associated information by clicking on the resident name at the identity bar. Associate the visitor information with the visitor name in the identity bar, mark the associated visitor information as associated information, and display the associated information at the identity bar.

[0010] Based on the obtained resident person contour frame and identity bar, set inspection points a, b, and c at the identity bar. When the identity bar is clicked by the user, convert the click into a click instruction. Receive the click instruction through inspection point a. When inspection point a receives the click instruction, send inspection information to the intrusion management module. Based on the obtained visitor person contour frame and identity bar, set inspection point d at the identity bar. When the identity bar is clicked by the user, convert the click into a click instruction. Receive the click instruction through inspection point d. When inspection point d receives the click instruction, inspection point d does not send inspection information.

[0011] The process of the intrusion management module performing permission verification on the users viewing the monitoring video information includes: According to the received inspection information, the inspection information is sent to the acquisition module. The acquisition module acquires the face image of the user who clicks on the identity column, and compares the face image of the user who clicks on the identity column with the user's face image. If they are consistent, the user who clicks on the identity column has the permission to view the video information library, and a qualified inspection information is sent to inspection point b. After receiving the qualified inspection information, inspection point b issues a display instruction, and then the associated information is displayed after clicking on the household name in the identity column; If they are inconsistent, the user who clicks on the identity column does not have the permission to view the video information library, and the user who clicks on the identity column is marked as an intruder.

[0012] The process of the intrusion management module protecting the monitored video information viewed by the intruder includes: Sending an inspection warning to inspection point c, and inspection point c sends an encryption instruction after receiving the inspection warning; Obtaining the person contour frame in the monitored video information, and setting intrusion signal receiving points at the edges of the person contour frame for receiving the encryption instruction sent by inspection point c; When the intrusion signal receiving point receives the encryption instruction, the intrusion signal receiving point executes the encryption instruction.

[0013] The process of the intrusion signal receiving point executing the encryption instruction includes: Obtaining the area of the person contour frame, setting a protection frame area threshold, calculating the number of protection frames M, dividing the person contour frame of the household into M equal-sized square frames, and marking the divided square frames as protection frames; Setting protection points at the edges of the protection frames, obtaining the area of the person contour frame and the number of protection frames M, respectively calculating the number of induction points G in the protection frame of the additional frame and the number of induction points G' in the protection frame of the identity frame that are satisfied, and setting induction points at equal intervals in the protection frames; When the intrusion signal receiving point receives the encryption instruction, an execution instruction is sent to the protection point. After receiving the execution instruction, the protection point groups the induction points in the protection frame. Four induction points in two same rows and two adjacent different rows are combined into a group. Each two induction points in different rows and different columns are connected with black lines. The induction points in the protection frame are grouped in turn, and all the induction points are connected. The protection frame after connecting the induction points is marked as an encrypted protection frame. Then the person contour frame formed by the protection frames forms a corresponding encrypted person contour frame. The face image range, the person body part range, and the identity column inside the encrypted person contour frame are all encrypted, and the face image and household information of the person contour frame cannot be obtained.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: By registering the household information and visitor information of the community personnel, comparing them with the face images in the collected surveillance video information, obtaining the identity information of the face images, processing the face images, formulating the image range, obtaining the person contour frame and the corresponding identity bar, and associating the identity bar with the corresponding household information and visitor information; Set viewing permissions for users viewing the video information library, record those who obtain viewing permissions as users, record those without viewing permissions as intruders, and encrypt the surveillance video information clicked by the intruders. Encrypt the person contour frame of the household into black, so that the intruders cannot obtain the household information associated with the person contour frame, realize the protection of the privacy of the household under security surveillance, prevent the intruders from viewing and obtaining the household information, maintain the personal safety of the household, reduce the crime rate, enhance the management efficiency of the surveillance video, and improve the reliability and stability of the security surveillance. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0016] Figure 1 It is the schematic diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0017] The following will clearly and completely describe the technical solutions of the present invention in combination with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0018] As Figure 1 shown, a security monitoring system based on big data includes a monitoring center, and the monitoring center is connected with a collection module, a personnel management module, a processing module and an intrusion management module; The collection module is used to collect the surveillance video information of the monitoring area and construct a video information library. The specific process includes: Set monitoring points, mark the monitoring points as i, i = 1, 2, 3,..., m; collect the surveillance video information of each monitoring point in real time. It should be further noted that in the specific implementation process, the monitoring area is the area included in the residential community, including building monitoring, internal road monitoring in the community, monitoring inside and outside the community wall, and monitoring at the community gate; Build a video information library and store the obtained surveillance video information in the video information library; The personnel management module is used to register the personnel information in the surveillance area and set viewing permissions for users who view the surveillance. The specific process includes: Set a registration port, and register the personnel information of the personnel in the surveillance area through the registration port. The personnel information includes household information and visitor information; the household information includes the person's name, gender, ID number, family members, residential house number, and the person's face image; the visitor information includes the visitor's name, visitor's face image, visited building house number, and the name of the visited object. Set a registration unit and a login unit. Input the user's personal information through the registration unit. The user's personal information includes the user's name, ID number, user's face image, and user identity, and set the corresponding login password according to the login password setting requirements; generate a login account based on the ID number in the input user's personal information. The monitoring center reviews the input user's personal information, generates a login account for the users who pass the review according to their personal information, the users complete the registration, and are granted the viewing permission to view the video information library. By inputting the login account and login password in the login unit, the user logs in and obtains the viewing permission to view the video information library. It should be further noted that in the specific implementation process, when viewing the video information library, it is necessary to input the login account and login password for user login. If there is no login account, it is impossible to enter the video information library to view the surveillance video information.

[0019] The processing module includes a face matching unit and a tracking unit, which are used to capture the face image in the surveillance video information, match the face image according to the household information and visitor information, and track the face image of the personnel entering the surveillance area to obtain the movement trajectory of the personnel. The face matching unit is used to capture the face image in the surveillance video information and match the identity of the face image according to the identity information and visitor information. The specific process includes: According to the surveillance video information, capture the appeared face image, define an image range for the captured face image and mark it as an identity box, and at the same time define an image range for the corresponding body part of the person in the face image and mark it as an additional box. Set an identity bar at the top inside the identity box; the identity bar displays the name and identity of the person in the face image. The person's identity includes household and visitor; associate the identity box with the additional box to form a person contour box. Compare the captured face image with the face images of the personnel registered in the personnel management module. If they are the same, the captured face image belongs to a residential user in the community, and mark the person's name + person's identity in the identity column, that is, the identity column shows "name + resident"; if they are different, the person is an outsider. Obtain the visitor information in the personnel management module, compare the captured face image with the visitor's face image, confirm the visitor's identity, and mark the person's name + person's identity in the identity column, that is, the identity column shows "name + visitor". The tracking unit is used to track the personnel entering the monitoring area and obtain the movement trajectory of the personnel. The specific process includes: Mark the face image of the residential user collected at the community gate as the starting point. Starting from the starting point, track the collected face images through the monitoring points to obtain the movement trajectory of the residential user in the community, and mark the tracking points on the movement trajectory. The tracking points include the building number passed, the building elevator entered, and the floor where the elevator is left. If the floor where the elevator is left is the building house number of the residential user, it means that the residential user has reached the living floor, suspend the tracking of the personnel, and mark the floor where the elevator is left as relay point 1; if the residential user is tracked again at relay point 1, mark the tracking point here as relay point 2, and continue to track the residential user until it reaches the community gate, and mark this place as the end point; the movement trajectory includes the starting point, tracking points, relay point 1, relay point 2, and end point; Associate the movement trajectory of the residential user with the residential user's name in the identity column. Further, the residential user's name in the identity column is also associated with the residential user information, and mark the associated residential user information and movement trajectory as associated information; And hide the associated information at the identity column. After the user logs in, click on the residential user's name at the identity column to display the movement trajectory of the residential user; it should be further noted that in the specific implementation process, if the user clicks on the residential user's name after logging in, the associated information will be displayed, otherwise, the click is invalid; If the face image captured at the community gate is a visitor, relay point 1 is the floor of the residential user visited by the visitor, and relay point 2 is to continue tracking the movement trajectory of the visitor when the visitor leaves the residential user's floor; mark the movement trajectory of the visitor passing through the starting point, tracking points, relay point 1, relay point 2, and end point as the visitor movement trajectory; Associate the visitor movement trajectory and visitor information with the visitor's name in the identity column, obtain the associated information as the visitor movement trajectory and visitor information, and display the associated information at the identity column; The intrusion management module includes an inspection unit, a protection unit, and a supervision unit, which are used to identify the users viewing the video information library, obtain intruders, and protect the monitoring video information viewed by the intruders. The specific process includes: The inspection unit is used to conduct identity verification on the users viewing the video information library. The specific process includes: According to the obtained household personnel contour frame and identity bar, set inspection points a, b, and c at the identity bar. When the identity bar is clicked by the user, convert the click into a click instruction, receive the click instruction through inspection point a. When inspection point a receives the click instruction, inspection point a issues an inspection message and sends the inspection message to the inspection unit; When the inspection unit receives the inspection message, send the inspection message to the acquisition module, collect the face image of the user who clicks the identity bar through the acquisition module, and compare the face image of the user who clicks the identity bar with the user's face image. If they are consistent, the user who clicks the identity bar has the permission to view the video information library, and send a qualified inspection message to inspection point b. After inspection point b receives the qualified inspection message, it issues a display instruction, and then the associated information is displayed after clicking on the household name in the identity bar; If they are inconsistent, the user who clicks the identity bar does not have the permission to view the video information library, mark the user who clicks the identity bar as an intruder, and send an inspection warning to inspection point c. After inspection point c receives the inspection warning, it sends an encryption instruction to the protection unit; Further, when the obtained personnel contour frame is a visitor, set inspection point d at the identity bar. When the identity bar is clicked by the user, convert the click into a click instruction, receive the click instruction through inspection point d. When inspection point d receives the click instruction, inspection point d does not issue an inspection message; The protection unit is used to protect the monitored video information viewed by the intruder. The specific process includes: Obtain the personnel contour frame in the monitored video information, set intrusion signal receiving points at the edge of the personnel contour frame. When the protection unit receives the encryption instruction, send the encryption instruction to the intrusion signal receiving points, and the intrusion signal receiving points execute the encryption instruction; The process of the intrusion signal receiving points executing the encryption instruction includes: Obtain the area of the personnel contour frame, mark it as S, set the protection frame area threshold S0, and calculate Obtain the number of protection frames M, divide the personnel contour frame of the household into M equally sized square frames, and mark the divided square frames as protection frames; It should be further noted that in the specific implementation process, the protection frame area threshold needs to be the smallest theoretically to achieve the largest number of protection frames; Set protection points at the edge of the protection frame, obtain the personnel contour frame area S and the number of protection frames M, and calculate Obtain the number of induction points G inside the protection frame of the additional frame, then the number of induction points inside the protection frame of the identity frame satisfies G' = 2G; Set induction points inside the protection frame. The distribution of the induction points inside the protection frames of the additional frame and the identity frame is evenly spaced, and calculate and Obtain the equal spacing R of the additional frame and the equal spacing R' of the identity frame, where α is an exponential factor and α > 1; When the intrusion signal receiving point receives the encryption instruction, it issues an execution instruction to the protection point. After the protection point receives the execution instruction, it groups the induction points within the protection frame. Four induction points in two same rows (or same columns) and two adjacent different rows (or different columns) are combined into a group. Each two induction points in different rows and different columns are connected with black lines. The induction points within the protection frame are grouped in sequence and all induction points are connected. The protection frame after connecting the induction points is marked as an encrypted protection frame, and the inside of the encrypted protection frame is black. Then the personnel contour frame formed by the protection frames forms a corresponding encrypted personnel contour frame. The face image range, the personnel body part range, and the identity column inside the encrypted personnel contour frame are all encrypted, and the face image of the personnel contour frame cannot be obtained. At the same time, clicking on the identity column is invalid and the household information cannot be obtained. The encrypted personnel contour frame is marked as an alarm signal; Send the alarm information to the supervision unit, and the supervision unit processes the obtained alarm information. The specific process includes: The supervision unit receives the alarm information, locks the alarm information, stops playing the monitoring video information, obtains the associated information of the identity column of the personnel contour frame of the alarm information, and notifies the household through the user that there is an intruder and views the household information and the movement track in the community.

[0020] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to only the specific implementation manners. Obviously, according to the content of this specification, many modifications and changes can be made. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, so that those skilled in the art in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A security monitoring system based on big data, including a monitoring center, characterized in that: The monitoring center is connected to a collection module, a personnel management module, a processing module and an intrusion management module; The acquisition module is used to collect monitoring video information of the monitoring area and build a video information library; The personnel management module is used to register the personnel information in the monitoring area and set the viewing authority for users who view the video information library; The processing module is used to capture the monitoring video information, obtain the face image, process the face image, obtain the person outline frame corresponding to the face image, and associate the person outline frame with the person information; The intrusion management module is used to check the viewing authority of users who view the surveillance video information and obtain the inspection result.

2. A security monitoring system based on big data according to claim 1, characterized in that: The process of collecting monitoring video information of the monitoring area by the collection module includes: Set up monitoring points, collect monitoring video information of each monitoring point in real time, build a video information library, and store the obtained monitoring video information in the video information library.

3. A security monitoring system based on big data according to claim 2, characterized in that: The process of registering the personnel information of the monitoring area and setting the viewing authority for the user who views the video information library by the personnel management module includes: Setting a registration port, registering personnel information of personnel in the monitoring area through the registration port, the personnel information includes resident information and visitor information; A registration unit and a login unit are set, wherein the registration unit is used to input user personal information and set a corresponding login password according to password setting requirements; The monitoring center reviews the user's personal information input, generates a login account based on the personal information for the user who passes the review, and the user completes the registration and completes the user login by entering the login account and login password in the login unit to obtain the viewing permission of the video information library.

4. A security monitoring system based on big data according to claim 3, characterized in that: The process of the processing module capturing and processing the surveillance video information includes: According to the surveillance video information, the facial image that appears is captured, an image range is set for the captured facial image, and it is marked as an identity frame. At the same time, an image range is set for the body part of the person corresponding to the facial image, and it is marked as an additional frame. An identity column is set at the top of the identity frame; the identity column is used to display the name and identity of the person in the face image; the identity frame is associated with the additional frame to form a person outline frame; The captured facial image is compared with the facial image of the person registered in the personnel management module. If they are consistent, the captured facial image is of a resident, and the person's name and resident are marked in the identity column. If they are inconsistent, the person is an outsider, and the visitor information of the personnel management module is obtained. The captured facial image is compared with the visitor's facial image to confirm the visitor's identity, and the person's name and visitor are marked in the identity column.

5. A security monitoring system based on big data according to claim 4, characterized in that: The process of the processing module associating the person outline frame with the resident information and the visitor information includes: Associating the resident information with the resident name in the identity column, marking the associated resident information as associated information, hiding the associated information in the identity column, and displaying the associated information by clicking the resident name in the identity column; The visitor information is associated with the visitor name in the identity column, the associated visitor information is marked as associated information, and the associated information is displayed in the identity column.

6. A security monitoring system based on big data according to claim 5, characterized in that: According to the obtained resident outline frame and identity column, check point a, check point b and check point c are set at the identity column; when the identity column is clicked by the user, the click is converted into a click instruction, and the click instruction is received by check point a. When check point a receives the click instruction, it sends a check information to the intrusion management module; According to the obtained visitor's outline frame and identity column, a checking point d is set at the identity column. When the identity column is clicked by the user, the click is converted into a click instruction, and the click instruction is received by the checking point d. When the checking point d receives the click instruction, the checking point d does not send out a checking message.

7. A security monitoring system based on big data according to claim 6, characterized in that: The process of the intrusion management module performing authority verification on the user viewing the surveillance video information includes: According to the received inspection information, the inspection information is sent to the acquisition module, and the facial image of the user who clicks the identity column is collected by the acquisition module, and the facial image of the user who clicks the identity column is compared with the facial image of the user. If they are consistent, the user who clicks the identity column has the authority to view the video information library, and the inspection qualification information is sent to the inspection point b. After receiving the inspection qualification information, the inspection point b issues a display instruction, and after clicking the name of the resident in the identity column, the related information is displayed; If they are inconsistent, the user who clicks the identity bar does not have the permission to view the video information library, and the user who clicks the identity bar is marked as an intruder.

8. The big data-based security monitoring system according to claim 7, characterized in that: The process of the intrusion management module protecting the surveillance video information viewed by the intruder includes: Send an inspection warning to inspection point c, and inspection point c sends an encrypted instruction after receiving the inspection warning; Obtain the personnel outline frame in the surveillance video information, and set an intrusion signal receiving point at the edge of the personnel outline frame to receive the encrypted command issued by the inspection point c; When the intrusion signal receiving point receives the encrypted instruction, the intrusion signal receiving point executes the encrypted instruction.

9. A security monitoring system based on big data according to claim 8, characterized in that: The process of the intrusion signal receiving point executing the encryption instruction includes: Get the area of ​​the person's outline frame, set the protection frame area threshold, calculate the number of protection frames M, divide the resident's person's outline frame into M boxes of equal size, and mark the divided boxes as protection frames; Set protection points at the edge of the protection frame, obtain the area of ​​the person's outline frame and the number of protection frames M, calculate the number of sensing points G in the protection frame of the additional frame and the number of sensing points in the protection frame of the identity frame to meet G', and set sensing points at equal intervals in the protection frame; When the intrusion signal receiving point receives the encryption instruction, it sends an execution instruction to the protection point. After receiving the execution instruction, the protection point groups the sensing points in the protection frame, and combines the four sensing points in two identical rows and two adjacent different rows into a group. The sensing points in every two different rows and columns are connected with black lines, and the sensing points in the protection frame are grouped in turn, and all the sensing points are connected. The protection frame after the sensing points are connected is marked as an encrypted protection frame. The personnel contour frame formed by the protection frames forms the corresponding encrypted personnel contour frame. The facial image range, the body part range and the identity column inside the encrypted personnel contour frame are all encrypted, and the facial image and resident information of the personnel contour frame cannot be obtained.

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