CN112863024A - Automatic unlocking system for face recognition - Google Patents
Automatic unlocking system for face recognition Download PDFInfo
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- CN112863024A CN112863024A CN202110102303.4A CN202110102303A CN112863024A CN 112863024 A CN112863024 A CN 112863024A CN 202110102303 A CN202110102303 A CN 202110102303A CN 112863024 A CN112863024 A CN 112863024A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
- G07C9/23—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder by means of a password
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
- G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
- G07C9/257—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition electronically
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/02—Mechanical actuation
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
- G08B19/005—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow combined burglary and fire alarm systems
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B3/00—Audible signalling systems; Audible personal calling systems
- G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
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- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Electromagnetism (AREA)
- Lock And Its Accessories (AREA)
Abstract
The invention relates to a face recognition automatic unlocking system which comprises a face recognition system, a door lock control system, an automatic power supply system, a password unlocking system and an alarm system. The face recognition system is connected with the door lock control system and used for processing the recognized face data in a face recognition mode to unlock the door lock control. And the door lock control system is used for automatically controlling unlocking of the door lock system when the face recognition system gives an unlocking signal. The automatic power supply system is respectively electrically connected with the face recognition system, the door lock control system and the alarm system and is used for supplying power to the face recognition system, the door lock control system and the alarm system. The password unlocking system is connected with the face recognition system, and the door lock system is automatically unlocked after double verification of the password unlocking system and the face recognition system. The dual detection configuration of face recognition and password unlocking enables the system to have high safety.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to an automatic unlocking system for face recognition.
Background
As an essential article for daily house life of people, the entrance guard provides excellent protection experience for daily life of people. Along with the development of economy in China, more and more intelligent access controls enter families of common people, and at present, access control unlocking schemes comprise mechanical key unlocking, electronic key unlocking and password unlocking.
In the prior art, an unlocking device unlocked by a mechanical key is a mechanical key, and unlocking is realized by inserting the key into a lock hole and rotating the key. The unlocking device unlocked by the electronic key is the electronic key, and the unlocking element on the entrance guard is controlled by transmitting a specific radio signal to realize unlocking. The password unlocking requires a user to press a preset key on the door to send a corresponding radio signal, so that a corresponding unlocking function is realized. In the current door access in the market, the mechanical key unlocking or password unlocking is mostly used as a main unlocking scheme, and the electronic key unlocking is used as a standby unlocking scheme.
The above prior art solutions have the following drawbacks: mechanical key unblock and electronic key unblock all must hand-carry the unlocking ware, when the unlocking ware is lost or falls at home, just need contact special unblock master and go to the door and unblock, not only waste time and energy, reliability and practicality are low, and these two kinds of access control system security are lower moreover, are cracked by some lawbreakers easily. Although password unlocking is compared with the two unlocking modes, an unlocking device does not need to be carried, a user easily forgets an unlocking password, and the user is easily seen by lawless persons during unlocking, and when the user is at home, the lawless persons can implement theft after inputting the password, so that the property safety of the home cannot be guaranteed.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a face recognition automatic unlocking system, which can realize the automatic unlocking of a door through face recognition and the input of a preset password without carrying an unlocking device, has high safety, reliability and practicability due to double detection configurations of the face recognition and the password unlocking, is suitable for household use, meets the entrance guard requirements of various fields and has high compatibility.
The above object of the present invention is achieved by the following technical solutions:
a face recognition automatic unlocking system comprises a face recognition system, a door lock control system, an automatic power supply system, a password unlocking system and an alarm system;
the face recognition system is connected with the door lock control system and used for processing recognized face data in a face recognition mode to unlock the door lock control;
the door lock control system is used for automatically controlling and unlocking the door lock system when the face recognition system gives an unlocking signal;
the automatic power supply system is respectively electrically connected with the face recognition system, the door lock control system and the alarm system and is used for supplying power to the face recognition system, the door lock control system and the alarm system;
the alarm system is used for sending an alarm when the face recognition system authenticates that the face data is wrong;
the password unlocking system is connected with the face recognition system, and the door lock system automatically unlocks after the password unlocking system and the face recognition system are subjected to double verification.
By the technical scheme, after the face recognition automatic unlocking system is installed on a door, double detection configurations of automatic unlocking of the door, face recognition and password unlocking can be realized by face recognition and inputting of a preset password, so that the door unlocking system has high safety, reliability and practicability. The automatic power supply system can automatically supply power when the electric quantity of the door lock control system is exhausted, the normal operation of the face recognition automatic unlocking system is guaranteed, the alarm system can give an alarm under a specific condition, the condition that a lawbreaker opens a door to steal a criminal is avoided, safety and high efficiency are achieved, the door control requirements of various fields are met, and compatibility is high.
The present invention in a preferred example may be further configured to: the face recognition system comprises a face image acquisition unit, a face image preprocessing unit, a face image storage unit and a feature matching unit, wherein the face image preprocessing unit is respectively connected with the face image acquisition unit, the face image storage unit and the feature matching unit;
the face image acquisition unit is used for acquiring image data of a user during face shooting;
the face image preprocessing unit is used for carrying out related preprocessing operation on the original face image;
the face image storage unit is used for storing set face recognition data for the feature matching unit to perform comparison analysis;
the feature matching unit is connected with the door lock control system and used for carrying out similarity contrast analysis on the face recognition data processed by the face image preprocessing unit and the stored face data so as to automatically unlock the door lock control system.
According to the technical scheme, when face image information is preset, the image data of a face are collected by the image collecting unit and then transmitted to the face image preprocessing unit, and the processed face image data are stored in the face image storage unit. When the door is opened, the human face image acquisition unit acquires human face image data to the human face image preprocessing unit, the feature matching unit performs similarity contrast analysis on the human face identification data processed by the human face image preprocessing unit and the stored human face data, the door lock control system is controlled to automatically unlock after verification is passed, and the alarm system is triggered to send out an alarm after verification is not passed. Compared with the traditional unlocking mode, the unlocking device does not need to carry a key, is time-saving and labor-saving, and has high reliability and practicability.
The present invention in a preferred example may be further configured to: the human face image acquisition unit comprises a door lock controller, a detection camera, a sliding seat, a light supplementing device and an infrared sensor, wherein the detection camera, the sliding seat, the light supplementing device and the infrared sensor are connected with the door lock controller;
the sliding seat is arranged in the door in a vertically sliding mode, the infrared sensor is installed on the door frame and used for sensing the position of a human face, so that a signal is automatically generated and sent to the door lock controller, and the sliding seat is controlled by the door lock controller to move up and down.
Through above-mentioned technical scheme, when the people of different heights stood in the front of the door, detected the human body and transmitted signal instruction to the lock controller by infrared sensor, reciprocated at the door by lock controller automatic control sliding seat, when removing to the particular position, by the image data that detects the camera and gather the people's face, realized the collection to the human face image data of different heights. And when the environment that light is not good, door lock controller control light filling device opens to can make and detect the more clear people's face image data of camera collection, improve face identification's accuracy.
The present invention in a preferred example may be further configured to: the human face image preprocessing process of the human face image preprocessing unit comprises gray level adjustment, image scale normalization and image filtering;
the gray level adjustment is used for converting a complex color image into a simple gray level image and converting corresponding human face feature information into a uniform gray level value through related operation;
the image filtering adopts a processing method of mean filtering and median filtering, and is used for reducing the influence of image noise.
By the technical scheme, the human face image shot by the detection camera is influenced by the shooting environment in practical application, and the human face image has the problems of darkness, fuzziness and position changing light. These problems directly affect the final result of face image recognition, so that the original face image needs to be subjected to relevant preprocessing operations, so as to obtain an ideal image with the function of automatic unlocking of face recognition. The image processing method has the advantages that the difference problem caused by the pixel problem of the color image can be effectively counteracted by utilizing the processes of gray scale adjustment, image scale normalization and image filtering image processing, so that the quality of the image is improved.
The present invention in a preferred example may be further configured to: the feature matching unit adopts the design of a principal component analysis algorithm, projects a multidimensional vector matrix of the face image to a low-dimensional vector matrix space through a special feature vector matrix, and simultaneously reserves the face features of the original image;
the structure of the pivot analysis algorithm comprises a training part and a recognition part, wherein the training part is used for extracting important information in a sample image, and the recognition part is used for recognizing a detection image to obtain a target object.
According to the technical scheme, the process of carrying out face recognition by using the principal component analysis algorithm comprises the steps of firstly extracting an image of a detection target, and obtaining a characteristic vector matrix of the detection image according to the PCA training algorithm process; then, the matrix is subjected to projection matrix to obtain a characteristic matrix of the matrix; then, the matrix is matched and compared with the sample characteristic matrix, namely, the Euclidean distance is calculated; and finally, comparing the judgment result with a judgment threshold value, if the judgment result meets the condition, the judgment result is that the target person is the target person, otherwise, the judgment result is not the target person.
The present invention in a preferred example may be further configured to: the door lock control system comprises a face recognition door entrance terminal, a face recognition door exit terminal, a door exit button, an access control switch, a communication adapter and a PC (personal computer), wherein the face recognition door entrance terminal, the face recognition door exit terminal, the door exit button and the access control switch are respectively connected with the access control controller;
the face recognition entrance terminal and the face recognition exit terminal are respectively connected with the communication adapter, and the communication adapter is connected with the PC.
Through the technical scheme, the function of bidirectional access control is realized by arranging the face recognition door entrance terminal and the face recognition door exit terminal, namely, the outside and the inside face recognition door opening, the system adopts the single chip as an access control center, and the PC as an algorithm execution unit.
The present invention in a preferred example may be further configured to: the entrance guard controller is connected with a single chip microcomputer chip, the single chip microcomputer chip is connected with a network module, a FLASH, an SDRAM, a keyboard, a power reset module and an indicator lamp, the network module is connected with a PC server, and the single chip microcomputer chip is connected with the detection camera.
Through the technical scheme, the hardware system of the system mainly adopts the S3C2410 single chip as a system control core, and meanwhile, the whole system is formed by the display screen, the keys, the network chip and other auxiliary devices. Here, the PC server is mainly used for implementing a face recognition algorithm and storing a corresponding sample database. The camera collects a face image of a detection target. The network module is connected with the PC and the singlechip to realize data communication between the PC and the singlechip. The keyboard is mainly used for modifying and storing the information data of the singlechip. FLASH and SDRAM mainly store face recognition algorithm for recognizing face function. The indicator light shows the current working state of the machine and can have red (fault) and green (normal).
The present invention in a preferred example may be further configured to: the alarm system comprises an alarm, a vibration sensor, a smoke sensor and a temperature sensor, wherein the vibration sensor, the smoke sensor and the temperature sensor are connected with the alarm, and the alarm is connected with the access controller.
Through above-mentioned technical scheme, when the door received strong striking, vibration sensor control siren sent out the sound of police dispatch newspaper to when indoor conflagration taking place, smoke transducer and temperature sensor can make the siren send out the sound of police dispatch newspaper equally, thereby further improved entrance guard's security.
In summary, the invention includes at least one of the following beneficial technical effects:
1. after the face recognition automatic unlocking system is installed on a door, the automatic unlocking of the door, the face recognition and the password unlocking can be realized through the face recognition and the input of the preset password, and the double detection configuration of the face recognition and the password unlocking is realized, so that the door unlocking system has high safety, reliability and practicability. The automatic power supply system can automatically supply power when the electric quantity of the door lock control system is exhausted, the normal operation of the face recognition automatic unlocking system is guaranteed, the alarm system can give an alarm under a specific condition, the condition that a lawbreaker opens a door to steal a criminal is avoided, safety and high efficiency are achieved, the door control requirements of various fields are met, and compatibility is high.
2. When the face image information is preset, the image data of the face is collected by the image collecting unit and then transmitted to the face image preprocessing unit, and the processed face image data is stored in the face image storage unit. When the door is opened, the human face image acquisition unit acquires human face image data to the human face image preprocessing unit, the feature matching unit performs similarity contrast analysis on the human face identification data processed by the human face image preprocessing unit and the stored human face data, the door lock control system is controlled to automatically unlock after verification is passed, and the alarm system is triggered to send out an alarm after verification is not passed. Compared with the traditional unlocking mode, the unlocking device does not need to carry a key, is time-saving and labor-saving, and has high reliability and practicability.
3. When people with different heights stand in front of the door, the infrared sensor detects the human body and transmits a signal instruction to the door lock controller, the door lock controller automatically controls the sliding seat to move up and down on the door, and when the sliding seat moves to a specific position, the detection camera collects image data of the human face, so that the collection of the image data of the human face with different heights is realized. And when the environment that light is not good, door lock controller control light filling device opens to can make and detect the more clear people's face image data of camera collection, improve face identification's accuracy.
Drawings
Fig. 1 is a block diagram of the overall structure of the present invention.
Fig. 2 is a schematic view showing the overall structural design of the access control system of the present invention.
Fig. 3 is a schematic structural diagram showing a control core system according to the present invention.
Reference numerals: 1. a face recognition system; 2. a door lock control system; 3. an automatic power supply system; 4. a password unlocking system; 5. an alarm system.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1, the face recognition automatic unlocking system disclosed by the invention comprises a face recognition system 1, a door lock control system 2, an automatic power supply system 3, a password unlocking system 4 and an alarm system 5.
The face recognition system 1 is connected with the door lock control system 2 and is used for processing the recognized face data in a face recognition mode to unlock the door lock control. And the door lock control system 2 is used for automatically controlling unlocking of the door lock system when the face recognition system 1 gives an unlocking signal.
The automatic power supply system 3 is electrically connected with the face recognition system 1, the door lock control system 2 and the alarm system 5 respectively, and is used for supplying power to the face recognition system 1, the door lock control system 2 and the alarm system 5. And an alarm system 5 for giving an alarm when the face recognition system 1 authenticates that the face data is wrong. The password unlocking system 4 is connected with the face recognition system 1, and after double verification of the password unlocking system 4 and the face recognition system 1, the door lock system is automatically unlocked.
The alarm system 5 comprises an alarm connected to the access controller, and a vibration sensor, a smoke sensor and a temperature sensor connected to the alarm. When the door is strongly impacted, the vibration sensor controls the alarm to give out alarm sound, and when a fire breaks out indoors, the smoke sensor and the temperature sensor can enable the alarm to give out alarm sound, so that the safety of the entrance guard is further improved.
The face recognition system 1 comprises a face image acquisition unit, a face image preprocessing unit, a face image storage unit and a feature matching unit, wherein the face image preprocessing unit is respectively connected with the face image acquisition unit, the face image storage unit and the feature matching unit. The face image acquisition unit is used for acquiring image data of a user during face shooting. And the face image preprocessing unit is used for carrying out related preprocessing operation on the original face image. And the face image storage unit is used for storing the set face recognition data for the feature matching unit to perform comparison analysis.
The feature matching unit is connected with the door lock control system 2 and used for carrying out similarity comparison analysis on the face recognition data processed by the face image preprocessing unit and the stored face data so as to automatically unlock the door lock control system 2.
When the face image information is preset, the image data of the face is collected by the image collecting unit and then transmitted to the face image preprocessing unit, and the processed face image data is stored in the face image storage unit. When the door is opened, the human face image acquisition unit acquires human face image data to the human face image preprocessing unit, the feature matching unit performs similarity contrast analysis on the human face identification data processed by the human face image preprocessing unit and the stored human face data, the door lock control system 2 is controlled to automatically unlock after verification is passed, and the alarm system 5 is triggered to give an alarm after verification is not passed. Compared with the traditional unlocking mode, the unlocking device does not need to carry a key, is time-saving and labor-saving, and has high reliability and practicability.
Furthermore, the human face image acquisition unit comprises a door lock controller, a detection camera, a sliding seat, a light supplementing device and an infrared sensor, wherein the detection camera, the sliding seat, the light supplementing device and the infrared sensor are connected with the door lock controller, and the detection camera and the light supplementing device are installed on the sliding seat. The sliding seat is arranged in the door in a vertically sliding mode, the infrared sensor is installed on the door frame and used for sensing the position of a human face, so that signals are automatically generated to the door lock controller, and the sliding seat is controlled by the door lock controller to move up and down.
When people with different heights stand in front of the door, the infrared sensor detects the human body and transmits a signal instruction to the door lock controller, the door lock controller automatically controls the sliding seat to move up and down on the door, and when the sliding seat moves to a specific position, the detection camera collects image data of the human face, so that the collection of the image data of the human face with different heights is realized. And when the environment that light is not good, door lock controller control light filling device opens to can make and detect the more clear people's face image data of camera collection, improve face identification's accuracy.
In practical application, the human face image shot by the detection camera is influenced by shooting environment, and the human face image has the problems of darkness, blurring and position changing light. These problems directly affect the final result of face image recognition, so that the original face image needs to be subjected to relevant preprocessing operations, so as to obtain an ideal image with the function of automatic unlocking of face recognition.
In this embodiment, the face image preprocessing process of the face image preprocessing unit includes gray scale adjustment, image scale normalization, and image filtering. The gray level adjustment is used for converting a complex color image into a simple gray level image, and corresponding human face feature information is converted into a uniform gray level value through related operation. The image filtering adopts a processing method of mean filtering and median filtering, and is used for reducing the influence of image noise. The image processing method has the advantages that the difference problem caused by the pixel problem of the color image can be effectively counteracted by utilizing the processes of gray scale adjustment, image scale normalization and image filtering image processing, so that the quality of the image is improved.
The feature matching unit adopts the design of a principal component analysis algorithm, projects a multidimensional vector matrix of the face image to a low-dimensional vector matrix space through a special feature vector matrix, and simultaneously reserves the face features of the original image. The structure of the pivot analysis algorithm comprises a training part and a recognition part, wherein the training part is used for extracting important information in a sample image, and the recognition part is used for recognizing a detection image to obtain a target object.
The process of face recognition by using the principal component analysis algorithm comprises the steps of firstly extracting an image of a detection target, and obtaining a characteristic vector matrix of the detection image according to a PCA training algorithm process; then, the matrix is subjected to projection matrix to obtain a characteristic matrix of the matrix; then, the matrix is matched and compared with the sample characteristic matrix, namely, the Euclidean distance is calculated; and finally, comparing the judgment result with a judgment threshold value, if the judgment result meets the condition, the judgment result is that the target person is the target person, otherwise, the judgment result is not the target person.
Referring to fig. 2, the door lock control system 2 includes a face recognition door entrance terminal, a face recognition door exit terminal, a door exit button, an access control switch, a communication adapter, and a PC, and the face recognition door entrance terminal, the face recognition door exit terminal, the door exit button, and the access control switch are respectively connected to the access control device. The face recognition entrance terminal and the face recognition exit terminal are respectively connected with a communication adapter, and the communication adapter is connected with a PC.
The system adopts the single chip as an access control center and the PC as an algorithm execution unit.
Referring to fig. 3, the access controller is connected with a single chip microcomputer chip, the single chip microcomputer chip is connected with a network module, a FLASH, a SDRAM, a keyboard, a power reset module and an indicator light, the network module is connected with a PC server, and the single chip microcomputer chip is connected with a detection camera.
The hardware system of the system mainly adopts an S3C2410 single chip microcomputer chip as a system control core, and meanwhile, the whole system is formed by auxiliary devices such as a display screen, keys, a network chip and the like. Here, the PC server is mainly used for implementing a face recognition algorithm and storing a corresponding sample database. The camera collects a face image of a detection target. The network module is connected with the PC and the singlechip to realize data communication between the PC and the singlechip. The keyboard is mainly used for modifying and storing the information data of the singlechip. FLASH and SDRAM mainly store face recognition algorithm for recognizing face function. The indicator light shows the current working state of the machine and can have red (fault) and green (normal).
The implementation principle of the embodiment is as follows: after the face recognition automatic unlocking system is installed on a door, the automatic unlocking of the door, the face recognition and the password unlocking can be realized through the face recognition and the input of the preset password, and the double detection configuration of the face recognition and the password unlocking is realized, so that the door unlocking system has high safety, reliability and practicability. Automatic power supply system 3 can guarantee the normal operating of the automatic unblock system of face identification when 2 electric quantities of lock control system exhaust, and alarm system 5 can send out the police dispatch newspaper under the specific circumstance, has avoided lawless persons to open the door and has implemented the act of stealing the crime, and is safe high-efficient, satisfies the entrance guard's demand in each field in the time, and the compatibility is higher.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.
Claims (8)
1. The automatic unlocking system for face recognition is characterized in that: the system comprises a face recognition system (1), a door lock control system (2), an automatic power supply system (3), a password unlocking system (4) and an alarm system (5);
the face recognition system (1) is connected with the door lock control system (2) and is used for processing recognized face data in a face recognition mode to unlock the door lock control;
the door lock control system (2) is used for automatically controlling unlocking of the door lock system when the face recognition system (1) gives an unlocking signal;
the automatic power supply system (3) is respectively electrically connected with the face recognition system (1), the door lock control system (2) and the alarm system (5) and is used for supplying power to the face recognition system (1), the door lock control system (2) and the alarm system (5);
the alarm system (5) is used for sending out an alarm when the face recognition system (1) authenticates that the face data is wrong;
the password unlocking system (4) is connected with the face recognition system (1), and the door lock system automatically unlocks after the password unlocking system (4) and the face recognition system (1) are subjected to double verification.
2. The automatic unlocking system for face recognition according to claim 1, characterized in that: the face recognition system (1) comprises a face image acquisition unit, a face image preprocessing unit, a face image storage unit and a feature matching unit, wherein the face image preprocessing unit is respectively connected with the face image acquisition unit, the face image storage unit and the feature matching unit;
the face image acquisition unit is used for acquiring image data of a user during face shooting;
the face image preprocessing unit is used for carrying out related preprocessing operation on the original face image;
the face image storage unit is used for storing set face recognition data for the feature matching unit to perform comparison analysis;
the feature matching unit is connected with the door lock control system (2) and is used for carrying out similarity contrast analysis on the face recognition data processed by the face image preprocessing unit and the stored face data so as to automatically unlock the door lock control system (2).
3. The automatic unlocking system for face recognition according to claim 2, characterized in that: the human face image acquisition unit comprises a door lock controller, a detection camera, a sliding seat, a light supplementing device and an infrared sensor, wherein the detection camera, the sliding seat, the light supplementing device and the infrared sensor are connected with the door lock controller;
the sliding seat is arranged in the door in a vertically sliding mode, the infrared sensor is installed on the door frame and used for sensing the position of a human face, so that a signal is automatically generated and sent to the door lock controller, and the sliding seat is controlled by the door lock controller to move up and down.
4. The automatic unlocking system for face recognition according to claim 2, characterized in that: the human face image preprocessing process of the human face image preprocessing unit comprises gray level adjustment, image scale normalization and image filtering;
the gray level adjustment is used for converting a complex color image into a simple gray level image and converting corresponding human face feature information into a uniform gray level value through related operation;
the image filtering adopts a processing method of mean filtering and median filtering, and is used for reducing the influence of image noise.
5. The automatic unlocking system for face recognition according to claim 2, characterized in that: the feature matching unit adopts the design of a principal component analysis algorithm, projects a multidimensional vector matrix of the face image to a low-dimensional vector matrix space through a special feature vector matrix, and simultaneously reserves the face features of the original image;
the structure of the pivot analysis algorithm comprises a training part and a recognition part, wherein the training part is used for extracting important information in a sample image, and the recognition part is used for recognizing a detection image to obtain a target object.
6. The automatic unlocking system for face recognition according to claim 3, wherein: the door lock control system (2) comprises a face recognition door entrance terminal, a face recognition door exit terminal, a door exit button, an access control switch, a communication adapter and a PC (personal computer), wherein the face recognition door entrance terminal, the face recognition door exit terminal, the door exit button and the access control switch are respectively connected with the access control controller;
the face recognition entrance terminal and the face recognition exit terminal are respectively connected with the communication adapter, and the communication adapter is connected with the PC.
7. The automatic unlocking system for face recognition according to claim 6, wherein: the entrance guard controller is connected with a single chip microcomputer chip, the single chip microcomputer chip is connected with a network module, a FLASH, an SDRAM, a keyboard, a power reset module and an indicator lamp, the network module is connected with a PC server, and the single chip microcomputer chip is connected with the detection camera.
8. The automatic unlocking system for face recognition according to claim 7, wherein: the alarm system (5) comprises an alarm, a vibration sensor, a smoke sensor and a temperature sensor, wherein the vibration sensor, the smoke sensor and the temperature sensor are connected with the alarm, and the alarm is connected with the access controller.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110102303.4A CN112863024A (en) | 2021-01-26 | 2021-01-26 | Automatic unlocking system for face recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110102303.4A CN112863024A (en) | 2021-01-26 | 2021-01-26 | Automatic unlocking system for face recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114202842A (en) * | 2021-12-28 | 2022-03-18 | 江苏赛孚士生物技术有限公司 | Be used for personnel to pass in and out register recorder |
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