Video portrait capture automatic identification prevention and control method

Abstract

The invention relates to the technical field of video portrait automatic capture, and discloses a video portrait capture automatic identification prevention and control method, which comprises the following steps: 1) creating an access control system, and collecting face features of an initial user; according to the video portrait capture automatic identification prevention and control method, the feature pickup is set to be the contact feature and the non-contact feature, the contact feature represents fingerprint identification, and the non-contact feature represents face identification, so that a user can conveniently select an identification mode, multiple choices are provided for people with hand inconvenience, the humanization effect is improved, and the user experience is improved. By arranging the prevention and control unit, the safety prevention and control effect on users is achieved, the access control system runs stably through the arrangement of the electric quantity control unit, the standby battery is continuously used when power shortage occurs, the access control system is more intelligent and humanized through the arrangement of the early warning interval, effective safety protection is provided for the environment of a community or a community, and the safety of the community or the community is improved. Meanwhile, transactions of local related departments can be shared, and great contribution is made to the society.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic video portrait capture, and in particular to an automatic recognition and prevention method for video portrait capture. Background Art

[0002] Face recognition is a biometric technology that identifies people based on their facial features. It uses a camera or camcorder to capture images or video streams containing faces, and automatically detects and tracks faces in the images. It then uses a series of related technologies to perform facial recognition on the detected faces. It is also commonly called portrait recognition or facial recognition.

[0003] In buildings and residences, people often use portrait recognition technology to provide a guarantee for life safety, usually through access control systems. However, existing access control systems usually have time clock machines, face recognition machines, etc., and the security control functions they have are far from meeting the higher demand levels. Therefore, we propose a video portrait capture automatic recognition control method to solve the above problems. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the shortcomings of the prior art, the present invention provides a method for automatic recognition and prevention of video portrait capture, which has the advantage of high prevention and control awareness and solves the problem that the existing access control system usually has a clock-in machine, a face recognition machine, etc., and the security prevention and control functions it possesses are far from meeting the higher demand levels.

[0006] (II) Technical solution

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] Preferably, the feature picking in step 1) includes contact features and non-contact features, the contact features are fingerprint recognition, and the non-contact features are face recognition.

[0009] Preferably, the warning interval also includes a linkage warning module, which stores basic characteristics of domestic suspects. The linkage warning is updated in real time following the access control system. The linkage warning is connected to the local city (district / county / township) public security department, and the information is automatically reported to the city (district / county / township) public security department information receiving office.

[0010] Another technical problem to be solved by the present invention is to provide a method for automatic recognition and prevention of video portrait capture, comprising the following steps:

[0011] 1) Create an access control system, collect the facial features of the initial user, and input the facial features of the initial user into the storage end of the access control system for storage. If necessary, the body features of the initial user, such as fingerprints of fingers, can also be collected;

[0012] 2) After the user features in step 1) are stored, they are used. When used, the information stored in the access control system is compared, that is, the face is compared, and the face photo database of the monitored object is used to extract the object features for recognition and verification. If the recognition is successful, the access control system notifies the unlocking. If the recognition is wrong, the object features and images are collected and stored, and the access control system does not pass, and is transferred to the internal prevention and control unit of the access control system for prevention and control processing;

[0013] 3) The prevention and control unit in step 2) stores and classifies the features of the strange images in the database. When the user views the database, the image can be extracted according to the user's password, so as to be deeply classified and marked for use. The deep classification includes home interval, work interval, strange interval and warning interval. The user marks the interval according to the usage scenario. If the user uses it for home use, the family interval can be used to store and use the features of family members, and the people who are not in the family interval are set as the strange interval; if the user uses it for work, the work interval can be used to extract and store the features of the staff; if the user uses it for commercial use in a store, the strange interval can be used for cooperation, and the strange interval uses the key to identify and capture the features of the object; the warning interval is used in cooperation. If the identified object does not exist or fails, feature extraction and alarm can be performed. The alarm object is the user, and the user discovers and handles it at the first time;

[0014] 4) The prevention and control unit is also provided with a cleaning module. When the storage information in the prevention and control unit reaches a certain amount, the user is informed to remind the system that the memory is low and needs to be cleaned up in time. If the user does not make a feedback within 3 days, the cleaning module first clears the information content of the previous 30 days and retains the later content to make the prevention and control unit run smoothly. If the user continues not to set it, the prevention and control unit repeats the above process;

[0015] 5) The access control system also includes a power control unit, which includes two battery panels, which are driven by a main control module and a sub-control module respectively. The main control module drives one of the battery panels to maintain the daily operation of the access control system, and the sub-control module drives the other battery panel to use as a backup battery. When the battery panel driven by the main control module is out of power, the user is reminded to replace the battery, and the power of the other battery panel driven by the sub-control module is displayed in real time, informing the user until the replacement and charging are completed. The sub-control module drives the other battery panel to maintain the normal operation of the access control system.

[0016] (III) Beneficial effects

[0017] Compared with the prior art, the present invention provides a method for automatic recognition and prevention of video portrait capture, which has the following beneficial effects:

[0018] The video portrait capture automatic recognition and control method, by setting feature picking as contact feature and non-contact feature, the contact feature is represented by fingerprint recognition, and the non-contact feature is represented by face recognition, facilitates the user to choose the recognition method, provides multiple choices for people with inconvenient hands, improves the humanized effect, and plays a safety control role for users by setting a control unit. The access control system can run smoothly through the setting of the power control unit, and can continue to be used through the backup battery when power is lacking. The setting of the early warning interval makes the access control system more intelligent and humanized, providing effective security protection for the environment of the community or community, and at the same time can also share the affairs of the relevant local departments and make great contributions to the society. DETAILED DESCRIPTION

[0019] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Embodiment: A method for automatic recognition and prevention of video portrait capture, comprising the following steps:

[0021] 1) Create an access control system, collect the facial features of the initial user, and input the facial features of the initial user into the storage end of the access control system for storage. If necessary, the body features of the initial user, such as fingerprints of fingers, can also be collected;

[0022] Among them, feature picking includes contact features and non-contact features. The contact features are manifested as fingerprint recognition, and the non-contact features are manifested as face recognition. It is convenient for users to choose the recognition method, provides multiple options for those with inconvenient hands, and improves the humanized effect.

[0023] 2) After the user features in step 1) are stored, they are used. When used, the information stored in the access control system is compared, that is, the face is compared, and the face photo database of the monitored object is used to extract the object features for recognition and verification. If the recognition is successful, the access control system notifies the unlocking. If the recognition is wrong, the object features and images are collected and stored, and the access control system does not pass, and is transferred to the internal prevention and control unit of the access control system for prevention and control processing;

[0024] 3) The prevention and control unit in step 2) stores and classifies the features of the strange images in the database. When the user views the database, the image can be extracted according to the user's password, so as to be deeply classified and marked for use. The deep classification includes home interval, work interval, strange interval and warning interval. The user marks the interval according to the usage scenario. If the user uses it for home use, the family interval can be used to store and use the features of family members, and the people who are not in the family interval are set as the strange interval; if the user uses it for work, the work interval can be used to extract and store the features of the staff; if the user uses it for commercial use in a store, the strange interval can be used for cooperation, and the strange interval uses the key to identify and capture the features of the object; the warning interval is used in cooperation. If the identified object does not exist or fails, feature extraction and alarm can be performed. The alarm object is the user, and the user discovers and handles it at the first time;

[0025] Among them, the early warning interval also includes a linkage early warning module, which stores the basic characteristics of domestic suspects. The linkage early warning is updated in real time with the access control system. The linkage early warning is connected to the local city (district / county / township) public security department, and the information is automatically reported to the city (district / county / township) public security department information receiving office.

[0026] It should be noted that the linkage warning module is not within the user's knowledge scope, and the user has no operation authority. The purpose is to protect user safety for normal use and not for use as a special performance device.

[0027] By setting the early warning range, the access control system becomes more intelligent and user-friendly, providing effective security protection for the community or community environment. At the same time, it can also share the affairs of the relevant local departments and make great contributions to the society.

[0028] 4) The prevention and control unit is also provided with a cleaning module. When the storage information in the prevention and control unit reaches a certain amount, the user is informed to remind the system that the memory is low and needs to be cleaned up in time. If the user does not make a feedback within 3 days, the cleaning module first clears the information content of the previous 30 days and retains the later content to make the prevention and control unit run smoothly. If the user continues not to set it, the prevention and control unit repeats the above process;

[0029] 5) The access control system also includes a power control unit, which includes two battery panels, which are driven by a main control module and a sub-control module respectively. The main control module drives one of the battery panels to maintain the daily operation of the access control system, and the sub-control module drives the other battery panel as a backup battery. When the battery panel driven by the main control module is out of power, the user is reminded to replace the battery, and the power of the other battery panel driven by the sub-control module is displayed in real time, informing the user until the replacement and charging are completed. The sub-control module drives the other battery panel to maintain the normal operation of the access control system.

[0030] The beneficial effects of the present invention are as follows: the video portrait capture automatic recognition and control method, by setting feature picking as contact features and non-contact features, the contact features are expressed as fingerprint recognition, and the non-contact features are expressed as face recognition, which facilitates users to choose the recognition method, provides a variety of choices for people with inconvenient hands, and improves the humanized effect. By setting up a control unit, it plays a safety control role for users. The setting of the power control unit makes the access control system run smoothly, and the backup battery can be used continuously when power is insufficient. The setting of the early warning interval makes the access control system more intelligent and humanized, providing effective safety protection for the environment of the community or community, and at the same time can also share the affairs of the relevant local departments and make great contributions to the society.

[0031] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for automatic recognition and prevention of video portrait capture, characterized in that: The following steps are involved: 1) Create an access control system, collect the facial features of the initial user, and input the facial features of the initial user into the storage end of the access control system for storage. If necessary, the body features of the initial user, such as fingerprints of fingers, can also be collected; 2) After the user features in step 1) are stored, they are used. When used, the information stored in the access control system is compared, that is, the face is compared, and the face photo database of the monitored object is used to extract the object features for recognition and verification. If the recognition is successful, the access control system notifies the unlocking. If the recognition is wrong, the object features and images are collected and stored, and the access control system does not pass, and is transferred to the internal prevention and control unit of the access control system for prevention and control processing; 3) The prevention and control unit in step 2) stores and classifies the features of the strange image in the database. When the user views the database, the image can be extracted according to the user's password, so as to be deeply classified and marked for use. The deep classification includes home interval, work interval, strange interval and warning interval. The user marks the interval according to the usage scenario. If the user uses it for home, the features of family members can be stored and used in the home interval, and the people who are not in the home interval can be set as the strange interval; if the user uses it for work, the features of the staff can be extracted and stored in the work interval; if the user uses it for commercial use in a store, the strange interval can be used for cooperation, and the strange interval uses the key to identify and capture the features of the object; The warning interval is used together. If the identification object does not exist or fails, feature extraction and alarm can be performed. The alarm object is the user, and the user discovers and handles it in the first time; 4) The prevention and control unit is also provided with a cleaning module. When the storage information in the prevention and control unit reaches a certain amount, the user is informed to remind the system that the memory is low and needs to be cleaned up in time. If the user does not make a feedback within 3 days, the cleaning module first clears the information content of the previous 30 days and retains the later content to make the prevention and control unit run smoothly. If the user continues not to set it, the prevention and control unit repeats the above process; 5) The access control system also includes a power control unit, which includes two battery panels, which are driven by a main control module and a sub-control module respectively. The main control module drives one of the battery panels to maintain the daily operation of the access control system, and the sub-control module drives the other battery panel as a backup battery. When the battery panel driven by the main control module is out of power, the user is reminded to replace the battery, and the power of the other battery panel driven by the sub-control module is displayed in real time, informing the user until the replacement and charging are completed. The sub-control module drives the other battery panel to maintain the normal operation of the access control system.

2. The method for automatic recognition and prevention of video portrait capture according to claim 1, characterized in that: The feature picking in step 1) includes contact features and non-contact features. The contact features are represented by fingerprint recognition, and the non-contact features are represented by face recognition.

3. The method for automatic recognition and prevention of video portrait capture according to claim 1, characterized in that: The warning interval also includes a linkage warning module, which stores the basic characteristics of domestic suspects. The linkage warning is updated in real time following the access control system. The linkage warning is connected to the local city (district / county / township) public security department, and the information is automatically reported to the city (district / county / township) public security department information receiving office.