CN113609890A - Collaborative face recognition system and recognition method based on independent recognition terminal - Google Patents
Collaborative face recognition system and recognition method based on independent recognition terminal Download PDFInfo
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Abstract
The invention discloses a collaborative face recognition system based on an independent recognition terminal, which comprises an operation processing platform and a face acquisition module, and is characterized in that: the operation processing platform is in communication connection with the portrait acquisition module through the non-communication module, a database, an input module, a comparison module, a remote alarm module and a warning module applied to a terminal are arranged in the operation processing platform, the input module is electrically connected with the database, the comparison module is electrically connected with the database, the remote alarm module is electrically connected with the comparison module, and the remote alarm module is in communication connection with the warning module. According to the invention, the big data common storage domain information is established through the portrait acquisition module, so that on one hand, the personnel flow accuracy is greatly improved, and the personnel can check the duplication through the established big data common storage domain information matched with the comparison module.
Description
Technical Field
The invention belongs to the field of face recognition, and particularly relates to a collaborative face recognition system based on an independent recognition terminal. Meanwhile, the invention also relates to an identification method of the collaborative face identification system based on the independent identification terminal.
Background
Face recognition is a biometric technology for identity recognition based on facial feature information of a person. With the development of face recognition technology, because of its characteristics of accurate data, high safety factor, convenient use, etc., face recognition technology is widely applied to various fields.
At present, a face recognition device arranged on various devices mainly compares collected face information with a face database established in advance, but the established face database is very complex and the duplication elimination calculation cannot be carried out on a people stream after the face recognition device is established, so that an identification method of a collaborative face recognition system based on an independent recognition terminal is provided.
Disclosure of Invention
The invention provides a collaborative face recognition system based on an independent recognition terminal and a recognition method thereof, which are used for solving the problems that the established face database in the background technology is very complex and the duplication elimination calculation of the human flow can not be carried out after the establishment.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides a face identification system in coordination based on independent recognition terminal, includes operation processing platform and portrait collection module, operation processing platform passes through no communication module and portrait collection module communication connection, be equipped with database, input module, contrast module, remote alarm module in the operation processing platform and be applied to the warning module at terminal, input module and database electric connection, contrast module and database electric connection, remote alarm module and contrast module electric connection, just remote alarm module and warning module communication connection.
Preferably, the portrait acquisition module is specifically configured to be an infrared camera and an image preprocessing module, the infrared camera includes a lens, a photosensitive element, a signal processing element, external light is focused on the photosensitive element through the lens, the photosensitive element is electrically connected with the signal processing element, an output end of the signal processing module outputs an analog signal or a digital signal, the infrared camera further includes a light detection module for detecting ambient light illuminance, the light detection module includes a plurality of scanning lines, a plurality of reading lines, and a plurality of light sensing elements, each light sensing element is coupled to one of the plurality of scanning lines and one of the plurality of reading lines, and the light detection method includes: and simultaneously starting at least two of the plurality of scanning lines to start a plurality of coupled light sensing elements in the plurality of light sensing elements, and acquiring information of the infrared camera at night with poor illuminance.
Preferably, the image preprocessing module is used for performing facial feature positioning on the face information acquired by the infrared camera and transmitting the processed face information to the operation processing platform.
Preferably, the comparison module adopts an arithmetic operator, an assignment operator, a relational operator, a logical operator and a bit operator to compare the face information acquired by the human image acquisition module with the face information input in the database for calculation, and the remote alarm module activates the alarm module when the degree of identity of the face information input in the database is more than 70%.
Preferably, the wireless communication module includes a WIFI antenna, an LTE antenna, a radio frequency switch, a frequency divider, and a processor, where the frequency divider is configured to separate a WIFI signal and an LTE signal in signals received by the LTE antenna, and output the separated WIFI signal and the separated LTE signal through the first output port and the second output port, respectively.
Preferably, the system further comprises a sound collection module, wherein the sound collection module comprises a sound sensor, a data collection card, a signal filter and a signal amplification circuit, the sound sensor, the data collection card, the signal filter, the noise reduction processing circuit and the signal amplification circuit are in signal connection, when the identification degree of the comparison module for comparing the collected face information with the face information input in the database is larger than 70%, the sound collection module is activated immediately, and sound collection is carried out on the surrounding environment of the portrait collection module.
Preferably, the database comprises a plurality of storage domains, and each storage domain stores different classes of face information.
An identification method of a collaborative face identification system based on an independent identification terminal comprises the following steps:
s1, inputting information, namely inputting the personnel information into a database through an input module;
s2, acquiring face information through a face acquisition module, comparing the face information with information of a message loss person and a worker in the database, storing the face information in a common storage domain based on big data, and establishing a big data storage domain;
s3, performing collaborative face recognition through monitoring of the portrait acquisition module;
s4, when the face information collected by the face collecting module is more than 70% of the face information in the database, the remote alarm module activates the alarm module;
and S5, when the face information is acquired by the face acquisition module for multiple times in unit time, the remote alarm module activates the warning module.
Preferably, the portrait acquisition module can be provided with a plurality of groups in an area range according to actual use conditions, and when the personnel information acquired by the plurality of groups of portrait acquisition modules is matched with a common storage area of big data in the database, the personnel information is not recorded again, but the acquisition time information is recorded.
The invention has the technical effects and advantages that: the invention provides a collaborative face recognition system based on an independent recognition terminal, which is compared with the traditional face recognition system.
Drawings
FIG. 1 is a block diagram of a collaborative face recognition system based on an independent recognition terminal according to the present invention;
fig. 2 is a flow chart of the recognition method of the cooperative face recognition system based on the independent recognition terminal.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a collaborative face recognition system based on an independent recognition terminal, which comprises an operation processing platform and a portrait acquisition module, wherein the operation processing platform is in communication connection with the portrait acquisition module through a non-communication module, a database, an input module, a comparison module, a remote alarm module and a warning module applied to the terminal are arranged in the operation processing platform, the input module is electrically connected with the database, the comparison module is electrically connected with the database, the remote alarm module is electrically connected with the comparison module, and the remote alarm module is in communication connection with the warning module.
The portrait acquisition module specifically sets up to infrared camera and image preprocessing module, infrared camera includes the camera lens, photosensitive element, signal processing element, outside light passes through the camera lens focus on photosensitive element, photosensitive element is connected with signal processing element electricity, signal processing module output analog signal or digital signal, infrared camera still includes the light detection module that is used for detecting ambient light illuminance, light detection module includes a plurality of scanning lines, a plurality of line and a plurality of light sensing element of reading, each light sensing element is coupled one of these a plurality of scanning lines and one of these a plurality of lines of reading, this light detection method includes: simultaneously starting at least two of the plurality of scanning lines, so as to start a plurality of coupled light sensing elements in the plurality of light sensing elements, and ensure information acquisition of the infrared camera at night with poor illuminance;
the infrared cameras can be selected to rotate the cameras by 360 degrees, a plurality of groups of infrared cameras can be arranged in a designated area, and face recognition is carried out through the infrared cameras;
the image preprocessing module is used for carrying out facial feature positioning on the face information collected by the infrared camera and transmitting the processed face information to the operation processing platform.
The comparison module adopts an arithmetic operator, an assignment operator, a relational operator, a logical operator and a bit operator to compare the face information acquired by the human image acquisition module with the face information input in the database for calculation, and the remote alarm module activates the alarm module when the degree of identity of the face information input in the database is more than 70%.
The wireless communication module comprises a WIFI antenna, an LTE antenna, a radio frequency switch, a frequency divider and a processor, wherein the radio frequency switch comprises a first input port, a second input port and a WIFI signal output port, the frequency divider comprises a third input port, a first output port and a second output port, the WIFI antenna is connected with the first input port, the LTE antenna is connected with the third input port, the first output port is connected with the second input port, and the frequency divider is used for separating WIFI signals and LTE signals in signals received by the LTE antenna and outputting the separated WIFI signals and LTE signals through the first output port and the second output port respectively.
The system also comprises a sound acquisition module, wherein the sound acquisition module comprises a sound sensor, a data acquisition card, a signal filter and a signal amplification circuit, the sound sensor, the data acquisition card, the signal filter, the noise reduction processing circuit and the signal amplification circuit are in signal connection, when the identification degree of the comparison module for comparing the acquired face information with the face information input in the database is more than 70%, the sound acquisition module is immediately activated, and sound acquisition is carried out on the surrounding environment of the portrait acquisition module.
The database comprises a plurality of storage domains, and different types of face information are stored in each storage domain;
according to the design, the database is arranged to comprise a plurality of storage domains, different types of face information are stored in each storage domain, and the big data common storage domain information is established through the portrait acquisition module, so that on one hand, the accuracy of personnel flow can be greatly improved, and personnel can be checked through the established big data common storage domain information matched with the comparison module;
the warning module is set as intercom equipment, a mobile phone terminal and an audible and visual alarm installed at a guard;
an identification method of a collaborative face identification system based on an independent identification terminal comprises the following steps:
s1, inputting information, namely inputting the personnel information into a database through an input module;
s2, acquiring face information through a face acquisition module, comparing the face information with the person information in the database, storing the face information in a common storage domain based on big data, and establishing a big data storage domain;
s3, performing collaborative face recognition through monitoring of the portrait acquisition module;
s4, when the face information collected by the face collecting module is more than 70% of the face information in the database, the remote alarm module activates the alarm module;
and S5, when the face information is acquired by the face acquisition module for multiple times in unit time, the remote alarm module activates the warning module.
The human image acquisition modules can be provided with multiple groups in the area range according to actual use conditions, and when the personnel information acquired by the human image acquisition modules of the multiple groups is identical with the common storage area of the big data in the database, the personnel information is not recorded again, but the acquisition time information is recorded.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Claims (9)
1. The utility model provides a face identification system in coordination based on independent recognition terminal, includes operation processing platform and portrait collection module, its characterized in that: the operation processing platform is in communication connection with the portrait acquisition module through the non-communication module, a database, an input module, a comparison module, a remote alarm module and a warning module applied to a terminal are arranged in the operation processing platform, the input module is electrically connected with the database, the comparison module is electrically connected with the database, the remote alarm module is electrically connected with the comparison module, and the remote alarm module is in communication connection with the warning module.
2. The cooperative face recognition system based on the independent recognition terminal as claimed in claim 1, wherein: the portrait acquisition module specifically sets up to infrared camera and image preprocessing module, infrared camera includes camera lens, photosensitive element, signal processing component, and outside light passes through the camera lens focus on photosensitive element, and photosensitive element is connected with signal processing component electricity, signal processing module output analog signal or digital signal, infrared camera still includes the light detection module that is used for detecting ambient light illuminance, light detection module includes a plurality of scanning lines, a plurality of line and a plurality of light sensing component of reading, and each light sensing component is coupled one of these a plurality of scanning lines and one of these a plurality of lines of reading, and this light detection method includes: and simultaneously starting at least two of the plurality of scanning lines to start a plurality of coupled light sensing elements in the plurality of light sensing elements, and acquiring information of the infrared camera at night with poor illuminance.
3. The cooperative face recognition system based on the independent recognition terminal as claimed in claim 2, wherein: the image preprocessing module is used for carrying out facial feature positioning on the face information collected by the infrared camera and transmitting the processed face information to the operation processing platform.
4. The cooperative face recognition system based on the independent recognition terminal as claimed in claim 1, wherein: the comparison module adopts an arithmetic operator, an assignment operator, a relational operator, a logical operator and a bit operator to compare the face information acquired by the human image acquisition module with the face information input in the database for calculation, and the remote alarm module activates the alarm module when the degree of identity of the face information input in the database is more than 70%.
5. The cooperative face recognition system based on the independent recognition terminal as claimed in claim 1, wherein: the wireless communication module comprises a WIFI antenna, an LTE antenna, a radio frequency switch, a frequency divider and a processor, wherein the frequency divider is used for separating WIFI signals and LTE signals in signals received by the LTE antenna and outputting the separated WIFI signals and the separated LTE signals through the first output port and the second output port respectively.
6. The cooperative face recognition system based on the independent recognition terminal as claimed in claim 1, wherein: the system also comprises a sound collection module, wherein the sound collection module comprises a sound sensor, a data collection card, a signal filter and a signal amplification circuit, the sound sensor, the data collection card, the signal filter, the noise reduction processing circuit and the signal amplification circuit are in signal connection, when the comparison module compares the collected face information with the face information input in the database, the recognition degree of the result is more than 70%, the sound collection module is activated immediately, and sound collection is carried out on the surrounding environment of the image collection module.
7. The cooperative face recognition system based on the independent recognition terminal as claimed in claim 1, wherein: the database comprises a plurality of storage domains, and each storage domain stores different types of face information.
8. An identification method of a collaborative face recognition system based on an independent identification terminal according to claim 1, characterized in that: the method comprises the following steps:
s1, inputting information, namely inputting the personnel information into a database through an input module;
s2, acquiring face information through a face acquisition module, comparing the face information with the person information in the database, storing the face information in a common storage domain based on big data, and establishing a big data storage domain;
s3, performing collaborative face recognition through monitoring of the portrait acquisition module;
s4, when the face information collected by the face collecting module is more than 70% of the face information in the database, the remote alarm module activates the alarm module;
and S5, when the face information is acquired by the face acquisition module for multiple times in unit time, the remote alarm module activates the warning module.
9. The identification method of the cooperative face recognition system based on the independent identification terminal according to claim 8, characterized in that: the human image acquisition module can be provided with a plurality of groups in the area range according to the actual use condition, and when the personnel information acquired by the human image acquisition module of the plurality of groups is coincided with the common storage area of the big data in the database, the personnel information is not recorded again, but the acquisition time information is recorded.
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