CN108600627A - Wisdom campus video processing system - Google Patents

Abstract

The invention discloses a smart campus video processing system which comprises a camera terminal, wherein an image processing module is arranged at the bottom of the camera terminal, a face area confirmation module is arranged at the bottom of the image processing module, a signal processing module is arranged at the bottom of the face area confirmation module, a network protocol module is arranged at the bottom of the signal processing module, a data transmission module is arranged at the bottom of the network protocol module, a data analysis module is arranged at the bottom of the data transmission module, a face data acquisition module is arranged at the bottom of the data analysis module, a data exchange module is arranged at the bottom of the face data acquisition module, a retrieval matching module is arranged at the bottom of the data exchange module, and a control module is arranged at the bottom of the retrieval matching module. Has the advantages that: the method effectively prevents malicious embezzlement or information stealing, and ensures the safety and stability of the smart campus.

Description

A smart campus video processing system

technical field

The invention relates to the technical field of video processing, in particular to a smart campus video processing system.

Background technique

Smart campus refers to an intelligent integrated environment for campus work, study and life based on the Internet of Things. This integrated environment uses various application service systems as the carrier to fully integrate teaching, scientific research, management and campus life. The current video communication system includes multiple video terminals, each of which is equipped with a camera. By starting the camera function and taking in images, the camera converts the image of the avatar including the face into an electrical signal and transmits it to the corresponding terminal through the campus network. The corresponding video terminal receives the above-mentioned electrical signal and processes it through the campus central information processor, and then performs information feedback to realize video processing. However, the existing video processing system has insufficient security level, and the information is easy to be stolen, resulting in intelligence There are great security risks in the campus.

On the other hand, in the prior art, the video of the face image is only based on a static picture, that is, the photo of the face image of the identified person is captured by the camera, and then the photo of the face image is analyzed and automatically captured. The face image part is compared and matched with the existing photos in the database, and the face is recognized. The applicant found after inquiry that the Chinese publication number is: CN106023372, which discloses a library access management system based on face recognition, including infrared detection. devices, camera arrays, image processors, central controllers, servers, face databases, library tripod gates, library alarms, and librarian mobile terminals. The output end of the infrared detector is connected with the image processor, the image processor is connected with the central controller, the camera array is connected with the image processor, and the output end of the central controller is connected with the server, the library alarm and the library tripod gate ;The library access management system based on face recognition can realize accurate and fast recognition and authentication of face images. If the identity recognition fails or there is an abnormal situation, the system can quickly judge and call the police, and at the same time notify the library by sending a text message The mobile terminal of the library administrator can realize effective early warning and control. The Chinese publication number is: CN201514641 discloses a portable face recognition device, which solves the technical problems that the single function of the monitoring terminal can only be fixed in a certain place and installed with supporting equipment, and the collection defects are caused by environmental factors. The adopted technology The solution is that the structure of the recognition device includes a housing, and a face sensing device, a camera, a central processing unit with a data storage unit and a network interface arranged inside the housing, and an auxiliary light emitting device is added to the above recognition device structure. The camera, the central processor includes a main processor and a slave processor, and the camera sends the collected face image information to the intermediate storage unit of the main processor by means of an auxiliary light emitting device. The /O interface outputs control signals to the execution device. The advantage of this utility model is that it can eliminate the interference of environmental factors and make the face recognition process more accurate and reliable; with the help of the general I/O interface, various execution devices can be connected to expand various security functions. The Chinese publication number is: CN107590888 discloses a building entry access control system, including: a monitoring camera for monitoring people entering and leaving the building; a face recognition module for recognizing faces; a verification module for verifying faces ; The voice prompt module is used for voice prompts to identify households; the alarm module is used for issuing an alarm; and the door controller is used for controlling the access control switch. The present invention can extract face features and compare them with the images in the image library, and has excellent face recognition ability. The images collected by the face acquisition module and the recent photos uploaded by the user are added to the personal image library, which increases the accuracy of recognition. At the same time, the setting of the image management module can manage the image database more effectively. The setting of the emergency image management module reduces the inconvenience caused by facial damage, and the setting of the encryption module enhances the security of the user's privacy sex. The Chinese Publication No.: CN105427421 discloses an access control method based on face recognition, including image information collection, data processing and access control operation. The part of the face image is compared and matched with the existing photos in the database to recognize the face. In particular, methods such as face detection optimization data structure, image preprocessing, and feature extraction are integrated into data processing to achieve high-speed, high-accuracy face verification and recognition. Applying the access control method of the present invention overcomes the shortcomings of traditional face monitoring and recognition on light changes, attitude angles, and time span stability, and achieves a detection rate greater than 99% and a recognition rate greater than 80% within a range of 5 meters , In addition to effectively realizing the intelligent control of access control and attendance, it improves the utilization rate of traditional hardware resources and the scope of application of network monitoring. The Chinese publication number is: CN206557873 discloses a kind of intelligent security anti-entry system based on face recognition, including: a surveillance camera, a face comparison server, a personnel information push server, and a monitoring user terminal device; A connected face comparison server; a personnel information push server electrically connected to the face comparison server; and a monitoring user terminal device wirelessly connected to the personnel information push server. The technical solution disclosed in the application can monitor and confirm the on-site environment in time, and improve the safety of preventing the on-site environment.

Based on the above existing technologies, it can be seen that what it processes is only static pictures, so it is only necessary to provide pictures that meet the requirements of the internal verifier to easily pass the security certification, which makes it easy for criminals to pass through the obtained static images. Social network pictures, etc., are appropriately enlarged and pointed at the camera. The camera can take the photo and compare it with the internal image, so as to break through the defense line of face recognition and bring security risks to the smart campus based on video processing.

No effective solution has been proposed for the above-mentioned problems in related technologies that the campus network constructed by the video-based image processing and recognition technology is insecure.

Relatively, security verification systems based on more biometric technologies are also being studied, which can effectively prevent the security system from being breached. Therefore, if the security verification systems of multiple biometric technologies can be further applied to smart campus video processing system, which will greatly improve the security of the smart campus.

Contents of the invention

In view of this, aiming at the problems in the related technologies, the present invention proposes a smart campus video processing system to overcome the above-mentioned technical problems existing in the related technologies.

Technical scheme of the present invention is realized like this:

According to one aspect of the present invention, a kind of smart campus video processing system is provided, including

A camera terminal, the bottom of the camera terminal is provided with an image processing module, the bottom of the image processing module is provided with a face area confirmation module, the bottom of the face area confirmation module is provided with a signal processing module, and the signal processing module The bottom of the network protocol module is provided with a network protocol module, the bottom of the network protocol module is provided with a data transmission module, the bottom of the data transmission module is provided with the data analysis module, and the bottom of the data analysis module is provided with a face data collection module , the bottom of the face data acquisition module is provided with a data exchange module, the bottom of the data exchange module is provided with a retrieval matching module, and the bottom of the retrieval matching module is provided with a control module;

A control module, the control module is connected with the retrieval matching module, the background storage server module, and the alarm module, wherein the control module is used to control the smart campus video processing system, and obtain the user's control instructions, so as to control the smart campus video in the background. The processing system performs corresponding data processing and controls each functional module;

Background storage server, which includes a storage module, a retrieval matching module and a safety verification module, the storage module is used to store the pre-collected image and biometric information of the verified person, and the retrieval matching module is used to match and compare the data provided by the camera terminal with the database data , to determine whether there is information about the person to be verified stored in the storage module, and return a signal whether the verification is passed, the safety verification module is used to perform safety verification on the signal for accessing the storage module, so as to decide whether to allow access to the database Inquire;

Wherein, the camera terminal includes two left and right camera terminals. Among the two left and right camera terminals, one of the camera terminals is used to locate the partial image camera of the face, that is, it can take the face to form the first photo. In the first photo, the camera terminal can automatically adjust the focal length of the camera to ensure that the ratio of the maximum width of the face to the size of the photo is 2.5-3.5:4; It is taken to form the second photo. In the formation of the second photo, the camera terminal can automatically adjust the focal length of the camera to ensure that the ratio of the maximum height of the entire human figure to the length of the photo in the photo is 2.5-3.5:4; The above-mentioned camera terminals all include a camera module, an image temporary storage module and a map-cutting module;

The camera terminal processes the photos and compares them with the photos of the licensed personnel stored in the background storage server. If the first and second photos taken can pass the verification of the retrieval and matching module, then the verification personnel can approved;

An alarm module, the alarm module includes a sound and light alarm module, a background public security alarm module and a medical 120 alarm module, wherein the sound and light alarm module is used to issue sound and light warnings when the person to be verified fails to pass Information, that is, a green light signal is sent when it is verified by the smart campus video processing system, and a red light signal is sent when it is not verified by the smart campus video processing system, and at the same time a voice prompt is issued whether the verification is passed; the background public security alarm module and the public security system Carry out a communication connection so that the information that cannot be identified while shooting is transmitted to the public security system to determine whether it is a criminal. When an alarm is given, the control module immediately stores the criminal information as evidence; and when the camera terminal thinks that the person is a sick person through the identified picture, it notifies the control terminal so that the control terminal can control the medical 120 alarm module to call for help.

Further, the image processing module includes a pixel processing module, a softness processing module and an image enlargement module.

Further, the signal processing module includes an image signal conversion module and a data filtering module.

Further, the data analysis module includes a signaling protocol analysis module, a data protocol analysis module, a network core network 3G protocol analysis module and a network core network 4G protocol analysis module.

Further, the facial data collection module includes a facial feature collection module and a facial data cleaning module.

Further, the facial data collection module is connected to the database by telecommunication through the data exchange module.

Further, in order to improve security and prevent illegal elements from using photos and other information to deceive the smart campus video processing system, the smart campus video processing system also includes an infrared sensor, which is used to perform infrared detection on the position where the photo is taken, and use it for judgment. Whether it is a picture or a real person is used for verification.

Further, the smart campus video processing system also includes a microphone and an image prompting device. When a person stands in front of the smart campus video processing system, the image prompting device will pop up a simple question for the verification personnel to answer, and the microphone will listen to the voice of the person Through biometric technology, it is further judged whether it is a qualified verification person.

According to another aspect of the present invention, a smart campus video processing method is provided, which is used in the smart campus video processing system, including the following steps:

Start the smart campus video processing system, and the administrator imports the face and other biological information of the verified personnel into the background storage server through the background;

When using the smart campus video processing system, when the verification personnel stand in front of the smart campus video processing system, they will take pictures. The camera terminals include two left and right camera terminals. Partial image camera for locating the face, that is, it can take the face to form the first photo. In the first photo, the camera terminal can automatically adjust the focal length of the camera to ensure the maximum width and size of the face in the captured photo. The width ratio of the camera is 2.5-3.5:4; and another camera terminal is used to take the whole human body image to form a second photo. In the second photo, the camera terminal can automatically adjust the focal length of the camera to ensure that the photos taken The ratio of the maximum height of the entire human figure to the length of the photo is 2.5-3.5:4; specifically, the first step is to identify the image, whether it contains the entire face of the person, and if it is not included, it cannot pass the verification and needs to be re-shot. After passing, the entire person When shooting, it is also judged whether the entire human body is included. If it is not included, it cannot pass the verification and needs to be re-shot;

Process the captured face image and the overall image, and further convert the image information into easily identifiable data information;

Perform network encryption on converted data;

Accurate collection of facial information;

Exchange the collected data with the data stored in the campus database in the background storage server;

Retrieve the data through the search matching module for comparison. If there is no match, the verification cannot be passed, and if there is a match, the verification will be passed;

When accessing the background storage server, the security verification module is used to perform security verification on the signal for accessing the storage module, so as to decide whether to allow access to the database for query;

The camera terminal processes the photos and compares them with the photos of the licensed personnel stored in the background storage server. If the first and second photos taken can pass the verification of the retrieval matching module 10, then the verification personnel can approved;

A green light signal is issued when the verification of the smart campus video processing system is passed, and a red light signal is issued when the verification of the smart campus video processing system is not passed, and a voice prompt is issued at the same time whether the verification is passed; the information that cannot be identified at the same time is transmitted to the public security system to determine whether it is a criminal. If it is a criminal, it will send to the control module to inform the criminal and report to the public security system in an appropriate way. The control module will immediately store the information of the criminal as evidence; When the camera terminal thinks that the person is a sick person through the identified picture, it notifies the control terminal so that the control terminal controls the medical 120 alarm module to call for help.

Further, the smart campus video processing system also includes a microphone and an image prompt device. When a person stands in front of the smart campus video processing system, the image prompt device will pop up a simple question for the verification personnel to answer, and the microphone will send the person's The voice is further judged whether it is a qualified verification person through biometric technology.

Beneficial effects of the present invention: by encrypting the image information on the campus internal network, the network protocol module generates a custom password, only the camera terminal can recognize the translation, and the stolen data forms useless garbled codes when the network protocol cannot be cracked, thereby effectively preventing Malicious misappropriation or stealing of information ensures the safety and stability of the smart campus. At the same time, prevent illegal personnel from deceiving by using photos and other methods.

In addition, the camera terminal includes a camera module, an image temporary storage module, and a map-cutting module, the image processing module includes a pixel processing module, a softness processing module, and an image amplification module, and the signal processing module includes an image signal conversion module and a data filtering module. The analysis module includes a signaling protocol analysis module, a data protocol analysis module, a network core network 3G protocol analysis module and a network core network 4G protocol analysis module. The face data collection module includes a face feature collection module and a face data cleaning module. The data acquisition module is connected with the database through the data exchange module, so that the efficiency, security and stability of video processing can be better realized.

Description of drawings

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 accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some of the present invention. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

Fig. 1 is a system block diagram of a video processing system for a smart campus according to an embodiment of the present invention;

Fig. 2 is one of block diagrams of a kind of intelligent campus video processing system according to the embodiment of the present invention;

Fig. 3 is a second block diagram of a smart campus video processing system according to an embodiment of the present invention;

Fig. 4 is a third block diagram of a smart campus video processing system according to an embodiment of the present invention;

Fig. 5 is a fourth block diagram of a smart campus video processing system according to an embodiment of the present invention;

Fig. 6 is the fifth block diagram of a smart campus video processing system according to an embodiment of the present invention;

FIG. 7 is the sixth block diagram of a smart campus video processing system according to an embodiment of the present invention;

Fig. 8 is the seventh block diagram of a smart campus video processing system according to an embodiment of the present invention;

Fig. 9 is a flow chart of a video processing method for a smart campus according to an embodiment of the present invention.

In the picture:

1. Camera terminal; 2. Image processing module; 3. Facial area confirmation module; 4. Signal processing module; 5. Network protocol module; 6. Data transmission module; 7. Data analysis module; 8. Facial data acquisition module 9. Data exchange module; 10. Retrieval and matching module; 11. Control module; 12. Camera module; 13. Image temporary storage module; 14. Cutout module; 15. Pixel processing module; 16. Softness processing module; 1. Image amplification module; 18. Image signal conversion module; 19. Data filtering module; 20. Signaling protocol analysis module; 21. Data protocol analysis module; 22. Network core network 3G protocol analysis module; 23. Network core network 4G protocol Parsing module; 24. Facial feature collection module; 25. Facial data cleaning module; 26. Database.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

Technical scheme of the present invention is realized like this:

Referring to Fig. 1-8, according to one aspect of the present invention, a kind of intelligent campus video processing system is provided, comprising:

A camera terminal, the bottom of the camera terminal is provided with an image processing module, the bottom of the image processing module is provided with a face area confirmation module, the bottom of the face area confirmation module is provided with a signal processing module, and the signal processing module The bottom of the network protocol module is provided with a network protocol module, the bottom of the network protocol module is provided with a data transmission module, the bottom of the data transmission module is provided with the data analysis module, and the bottom of the data analysis module is provided with a face data acquisition module , the bottom of the face data acquisition module is provided with a data exchange module, the bottom of the data exchange module is provided with a retrieval matching module, and the bottom of the retrieval matching module is provided with a control module;

A control module, the control module is connected with the retrieval matching module, the background storage server module, and the alarm module, wherein the control module is used to control the smart campus video processing system, and obtain the user's control instructions, so as to control the smart campus video in the background. The processing system performs corresponding data processing and controls each functional module;

Backstage storage server, it comprises storage module, retrieval matching module 10 and security verification module, and storage module is used for storing the image and biometric information that meet verification personnel collected in advance, and retrieval matching module 10 is used for the data and database data that camera terminal provides Matching and comparison, to determine whether there is information about the person to be verified stored in the storage module, and return a signal whether the verification is passed, and the safety verification module is used to perform safety verification on the signal for accessing the storage module, so as to decide whether to allow access query the database;

Wherein the camera terminal includes two camera terminals on the left and right. Among the two camera terminals on the left and right, one of the camera terminals is used to locate the partial image camera of the face, that is, it can take the face to form the first photo, and then form the first photo. In the first photo, the camera terminal can automatically adjust the focal length of the camera to ensure that the ratio of the maximum width of the face in the captured photo to the width of the photo is 2.5-3.5:4; while the other camera terminal is used to capture the entire human body image To form the second photo, in the formation of the second photo, the camera terminal can automatically adjust the focal length of the camera to ensure that the ratio of the maximum height of the entire human figure in the photo taken to the length of the photo size is 2.5-3.5:4; each of the The camera terminals all include a camera module, an image temporary storage module and a picture-cutting module;

The camera terminal processes the photos and compares them with the photos of the licensed personnel stored in the background storage server. If the first and second photos taken can pass the verification of the retrieval matching module 10, then the verification personnel will be can be verified.

Further, the smart campus video processing system also includes a microphone and an image prompting device. When a person stands in front of the smart campus video processing system, the image prompting device will pop up a simple question for the verification personnel to answer, and the microphone will listen to the voice of the person Through biometric technology, it is further judged whether it is a person who meets the verification requirements;

An alarm module, the alarm module includes a sound and light alarm module, a background public security alarm module and a medical 120 alarm module, wherein the sound and light alarm module is used to issue sound and light warnings when the person to be verified fails to pass Information, that is, a green light signal is sent when it is verified by the smart campus video processing system, and a red light signal is sent when it is not verified by the smart campus video processing system, and at the same time a voice prompt is issued whether the verification is passed; the background public security alarm module and the public security system Carry out a communication connection so that the information that cannot be identified while shooting is transmitted to the public security system to determine whether it is a criminal. When an alarm is given, the control module immediately stores the criminal information as evidence; and when the camera terminal thinks that the person is a sick person through the identified picture, it notifies the control terminal so that the control terminal can control the medical 120 alarm module to call for help.

Figures 2-8 show schematic diagrams based on video processing, specifically a camera terminal 1, an image processing module 2 is provided at the bottom of the camera terminal 1, and a face area confirmation module is provided at the bottom of the image processing module 2 3, the bottom of the facial area confirmation module 3 is provided with a signal processing module 4, the bottom of the signal processing module 4 is provided with a network protocol module 5, and the bottom of the network protocol module 5 is provided with a data transmission module 6, so The bottom of the data transmission module 6 is provided with the data analysis module 7, the bottom of the data analysis module 7 is provided with a facial data collection module 8, and the bottom of the facial data collection module 8 is provided with a data exchange module 9, A retrieval and matching module 10 is arranged at the bottom of the data exchange module 9 , and a control module 11 is arranged at the bottom of the retrieval and matching module 10 .

In one embodiment, the camera terminal 1 includes a camera module 12 , an image temporary storage module 13 and a picture-cutting module 14 .

In one embodiment, the image processing module 2 includes a pixel processing module 15 , a softness processing module 16 and an image enlargement module 17 .

In one embodiment, the signal processing module 4 includes an image signal conversion module 18 and a data filtering module 19 .

In one embodiment, the data analysis module 7 includes a signaling protocol analysis module 20 , a data protocol analysis module 21 , a network core network 3G protocol analysis module 22 and a network core network 4G protocol analysis module 23 .

In one embodiment, the facial data collection module 8 includes a facial feature collection module 24 and a facial data cleaning module 25 .

In one embodiment, the face data collection module 8 is connected to the database 26 by telecommunication through the data exchange module 9 .

As shown in FIG. 9, according to another aspect of the present invention, a method for processing video in a smart campus is provided, which is used in the video processing system for a smart campus, including the following steps:

Start the smart campus video processing system, and the administrator imports the face and other biological information of the verified personnel into the background storage server through the background;

When using the smart campus video processing system, take pictures and take pictures of people's faces;

For image recognition, whether it contains the entire face of the person, if it is not included, it cannot pass the verification and needs to be re-shot;

Process the captured face images, and further convert the image information into easily identifiable data information;

Perform network encryption on converted data;

Accurate collection of facial information;

Exchange the collected data with the data in the campus database;

The retrieved data is compared, if there is no match, the verification cannot be passed, and if there is a match, the verification will be passed.

With the help of the above technical solution, by encrypting the image information on the campus internal network, the network protocol module 5 generates a custom password, and only the camera terminal 1 can recognize the translation, and the stolen data forms useless garbled characters when the network protocol cannot be cracked, thereby Effectively prevent malicious misappropriation or theft of information, and ensure the security and stability of the smart campus.

In addition, the image processing module 2 includes a pixel processing module 15, a softness processing module 16 and an image enlargement module 17, and the signal processing module 4 includes an image Signal conversion module 18 and data filter module 19, data analysis module 7 comprises signaling agreement analysis module 20, data agreement analysis module 21, network core network 3G agreement analysis module 22 and network core network 4G agreement analysis module 23, face data acquisition The module 8 includes a face feature collection module 24 and a face data cleaning module 25. The face data collection module 8 is telecommunications connected with the database 26 through the data exchange module 9, which can better realize the efficiency, security and stability of video processing.

In summary, with the help of the above-mentioned technical solution of the present invention, by encrypting the image information on the campus internal network, the network protocol module 5 generates a custom password, and only the camera terminal 1 can identify and translate, and the stolen data cannot be cracked in the network protocol. Useless garbled characters are formed under certain circumstances, thereby effectively preventing malicious theft or stealing information, and ensuring the safety and stability of the smart campus.

In addition, the present application also provides a smart campus video processing method, which is used in the smart campus video processing system described above, including the following steps:

When the verifier stands in front of the smart campus video processing system, the camera is taken. The camera terminal includes two camera terminals on the left and right. Among the two camera terminals on the left and right, one of the camera terminals is used to locate the partial image camera of the face, namely It can take the face to form the first photo. In the formation of the first photo, the camera terminal can automatically adjust the focal length of the camera to ensure that the maximum width of the face in the photo taken and the width ratio of the photo size are 2.5-3.5:4 and the other camera terminal is used to take the whole human body image to form a second photo, in which the camera terminal can automatically adjust the focal length of the camera to ensure the maximum height and photo size of the whole human figure in the photo taken The length ratio is 2.5-3.5:4; the specific is to first identify the image, whether it contains the entire face of the person, if it is not included, it cannot pass the verification, and needs to be re-shot. , if it is not included, it cannot pass the verification and needs to be re-shot;

Process the captured face image and the overall image, and further convert the image information into easily identifiable data information;

Perform network encryption on converted data;

Accurate collection of facial information;

Exchange the collected data with the data in the campus database stored in the background storage server;

The data is retrieved by the search matching module for comparison. If there is no match, the verification cannot be passed, and if there is a match, the verification will be passed.

When accessing the background storage server, the security verification module is used to perform security verification on the signal for accessing the storage module, so as to decide whether to allow access to the database for query;

The camera terminal processes the photos and compares them with the photos of the licensed personnel stored in the background storage server. If the first and second photos taken can pass the verification of the retrieval matching module 10, then the verification personnel will be can be verified.

Further, the smart campus video processing system also includes a microphone and an image prompting device. When a person stands in front of the smart campus video processing system, the image prompting device will pop up a simple question for the verification personnel to answer, and the microphone will listen to the voice of the person Through biometric technology, it is further judged whether it is a qualified verification person.

For the present invention, by encrypting the image information on the campus internal network, the network protocol module generates a custom password, only the camera terminal can recognize the translation, and the stolen data forms useless garbled codes when the network protocol cannot be cracked, thereby effectively preventing malicious theft Or steal information to ensure the security and stability of the smart campus. At the same time, prevent illegal personnel from deceiving by using photos and other methods.

In addition, the camera terminal includes a camera module, an image temporary storage module, and a map-cutting module, the image processing module includes a pixel processing module, a softness processing module, and an image amplification module, and the signal processing module includes an image signal conversion module and a data filtering module. The analysis module includes a signaling protocol analysis module, a data protocol analysis module, a network core network 3G protocol analysis module and a network core network 4G protocol analysis module. The face data collection module includes a face feature collection module and a face data cleaning module. The data acquisition module is connected with the database through the data exchange module, so that the efficiency, security and stability of video processing can be better realized.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of the present invention. within the scope of protection.

Claims (10)

1. a kind of Intelligent campus processing system for video, including：

The bottom of camera shooting terminal, the camera shooting terminal is provided with image processing module, the bottom setting of described image processing module There are face area confirmation module, the bottom of the face area confirmation module to be provided with signal processing module, the signal processing The bottom of module is provided with network protocol module, and the bottom of the network protocol module is provided with data transmission module, the number The bottom of transmission module is provided with the data resolution module, the bottom of the data resolution module is provided with face data and adopts Collect module, the bottom of the face data acquisition module is provided with data exchange module, and the bottom of the data exchange module is set It is equipped with retrieval matching module, the bottom of the retrieval matching module is provided with control module；

Control module, the control module are connected with retrieval matching module, background storage server module, alarm module, wherein The control module obtains the control instruction of user for controlling Intelligent campus processing system for video, so as on backstage to the intelligence Intelligent campus processing system for video carries out corresponding data processing, and each function module of control；

Background storage server comprising memory module, retrieval matching module（10）And secure verification module, memory module are used for The image and biological information gathered in advance for meeting verification personnel is stored, matching module is retrieved（10）For providing camera shooting terminal Data and the comparison of database Data Matching, to judge whether to be stored with the letter of related personnel to be verified in the memory module Breath, and whether return by the signal of verification, the secure verification module is used to carry out safety to the signal for accessing memory module Verification is inquired to decide whether to allow to access database；

Alarm module, the alarm module include 120 alarm modules of sound and light alarm module, backstage public security alarm module and medical treatment, Wherein, the sound and light alarm module be used for personnel to be verified fail by when, the warning in terms of making a sound with light Information, that is, green light signals are sent out when being verified by Intelligent campus processing system for video, and at not by Intelligent campus video Whether reason system sends out red signal when verifying, and be simultaneously emitted by by the voice prompt of verification；Backstage public security alarm module and Public security system is communicatively coupled, to be transferred to public security system to the information for shooting while failing identification, to determine whether to belong to In delinquent personnel, if belonging to delinquent personnel, that is, it is sent to control module and informs as delinquent personnel and pass through Suitable mode is alarmed to public security system, and control module stores personal information of breaking laws and commit crime as evidence immediately；And it is taking the photograph As terminal by the picture of identification think personnel make a living patient person when, notify control terminal, so as to control terminal control medical treatment 120 alarm modules carry out medical emergency；

Wherein, the camera shooting terminal（1）Including two camera shooting terminals in left and right, in the camera shooting terminal of the left and right two, one of them Camera shooting terminal is used for topography's camera of locating human face, i.e., it can shoot face to form the first photo, formed this In one photo, the focal length of camera shooting terminal energy adjust automatically camera ensures the maximum width and photo of face in the photo of shooting The width ratio of size is 2.5-3.5:4；And another camera shooting terminal is used to entire human body image all shoot and is shone in formation second Piece, in forming second photo, the focal length of camera shooting terminal energy adjust automatically camera ensures entire humanoid in the photo of shooting Maximum height and photo size length ratio be 2.5-3.5:4；Each camera shooting terminal includes photographing module（12）, figure As temporary storage module（13）With stingy module（14）；

It handles photo to the camera shooting terminal, and is carried out with the photo of the authorized individuals stored in background storage server Comparison, if the first and second photos of shooting can be by retrieving matching module（10）Verification, then the personnel verified Verification can be passed through.

2. a kind of Intelligent campus processing system for video according to claim 1, which is characterized in that described image processing module （2）Including processes pixel module（15）, soft degree processing module（16）And image amplification module（17）.

3. a kind of Intelligent campus processing system for video according to claim 2, which is characterized in that the signal processing module （4）Including picture signal conversion module（18）With data filtering module（19）.

4. a kind of Intelligent campus processing system for video according to claim 3, which is characterized in that the data resolution module （7）Including signaling protocol parsing module（20）, data protocol parsing module（21）, network core net 3G protocol resolution modules（22） With network core net 4G protocol resolution modules（23）.

5. a kind of Intelligent campus processing system for video according to claim 4, which is characterized in that the face data acquisition Module（8）Including face feature acquisition module（24）With face data cleaning module（25）.

6. a kind of Intelligent campus processing system for video according to claim 5, which is characterized in that the face data acquisition Module（8）Pass through the data exchange module（9）With database（26）Telecommunications connects.

7. a kind of Intelligent campus processing system for video according to any one of claim 1-6, which is characterized in that the intelligence Intelligent campus processing system for video further includes infrared sensor, is used for the carry out infrared detection at shooting picture location, with sentencing It is picture or real person to break for verification.

8. according to arbitrary a kind of Intelligent campus processing system for video in claim 1-7, which is characterized in that the wisdom school Garden processing system for video further includes microphone and picture cues equipment, when personnel to be verified stand in Intelligent campus processing system for video face When preceding, picture cues equipment can pop up simple problem, and verification personnel is allowed to answer, and the microphone is then the sound of personnel by biology Identification technology further determines whether to meet verification personnel, to carry out cross validation, and according to whether allows report by verification Alert module carries out corresponding operating.

9. a kind of method of Intelligent campus video processing, which is characterized in that including preceding claims 1-7 any one of them one Kind Intelligent campus processing system for video, includes the following steps：

Start the Intelligent campus processing system for video, administrator imports the face and other biological for meeting verification personnel by backstage Information is in background storage server；

When using the Intelligent campus processing system for video, when the personnel of verification station is in face of Intelligent campus processing system for video, into Row camera shooting, the camera shooting terminal includes two camera shooting terminals in left and right, and in the camera shooting terminal of the left and right two, one of camera shooting is eventually End is used for topography's camera of locating human face, i.e., it can shoot face to form the first photo, in first photo, take the photograph As the focal length of terminal energy adjust automatically camera, ensure the maximum width of face and the width ratio of photo size in the photo of shooting For 2.5-3.5:4；And another camera shooting terminal is used to entire human body image all shoot in forming the second photo, this this second In photo, the focal length of camera shooting terminal energy adjust automatically camera ensures entire humanoid maximum height and photograph in the photo of shooting The length ratio of piece size is 2.5-3.5:4；Specially first to image recognition, if the entire face for including personage does not wrap What is contained cannot need to re-shoot, by later shooting entire people, equally judges whether to include entire people by verification Body, do not include cannot need to re-shoot by verification；

The facial image and general image of shooting are handled, while image information being further converted to number easy to identify It is believed that breath；

Network encryption is carried out to transformed data；

Precise acquisition is carried out to character facial information；

It is swapped the data in campus databases are stored in the data and background storage server of acquisition；

Data are retrieved by retrieving matching module to be compared, if it is useless meet if cannot be met if having by verification It gives and passes through verification；

When accessing background storage server, the secure verification module is used to carry out safety to the signal for accessing memory module to test Card is inquired to decide whether to allow to access database；

It handles photo to the camera shooting terminal, and is carried out with the photo of the authorized individuals stored in background storage server Comparison, if the first and second photos of shooting can be by retrieving matching module（10）Verification, then the personnel verified Verification can be passed through；

Green light signals are sent out when being verified by Intelligent campus processing system for video, and are not passing through Intelligent campus video processing system Red signal is sent out when system verification, and whether is simultaneously emitted by by the voice prompt of verification；To shooting while failing the letter of identification Breath is transferred to public security system, to determine whether to belong to delinquent personnel, if belonging to delinquent personnel, that is, is sent to control Module informs as delinquent personnel and alarms to public security system by suitable mode that control module stores illegal immediately Criminal information is as evidence；And camera shooting terminal by the picture of identification think personnel make a living patient person when, notice control Terminal processed carries out medical emergency so that control terminal controls medical 120 alarm modules.

10. a kind of Intelligent campus method for processing video frequency according to claim 9, which is characterized in that

The Intelligent campus processing system for video further includes microphone and picture cues equipment, when personnel to be verified stand in Intelligent campus When in face of processing system for video, picture cues equipment can pop up simple problem, allow verification personnel to answer, the microphone is then personnel Sound further determined whether by biological identification technology to meet verification personnel.