CN112968775B - Personnel biological characteristic recognition system - Google Patents
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- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
- H04L9/3226—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using a predetermined code, e.g. password, passphrase or PIN
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Abstract
The invention discloses a personnel biological characteristic identification system, which comprises an AI identification control server (1), a sensing information acquisition module (2), a display reminding module (3), a network communication module (4), a voice prompt module (5), an alarm module (6) and a remote control terminal (10); the AI identification control server (1) is respectively in data communication connection with the sensing information acquisition module (2), the display reminding module (3), the network communication module (4), the voice prompt module (5), the alarm module (6) and the remote control terminal (10). This application utilizes tester distance and people's face simultaneous recognition to cross verification guarantees personnel's authenticity, simultaneously to the surrounding environment inspection, thereby can abolish and realize personnel's discernment by the candid photograph.
Description
Technical Field
The invention relates to the technical field of biological identification, in particular to a personnel biological characteristic identification system.
Background
Nowadays, with the increasing development of technology, more and more convenience is brought to our life, for example, before going to banks or other organizations for transacting, people need to transact with passwords or even identity cards, so as to prove that people transact themselves. However, when the user transacts with the traditional password, if the password is acquired by other people, the user can transact business by himself, which brings risks to the user, especially unreasonable business transacting by the user, and troublesome, time and energy are needed for transacting by the user.
With the development of network technology and online authentication technology, many online remote verification methods, such as current video identification technology and biometric identification technology, have recently appeared. For example, patent CN107122644A discloses a method for switching a biometric password recognition mode and a mobile terminal, where the method for switching the biometric password recognition mode includes detecting scene information of an environment where the mobile terminal is located; starting an identification mode corresponding to the scene information to identify the biological characteristics of the user, wherein the identification mode comprises the following steps: iris recognition, fingerprint recognition, and face recognition. The invention can improve the flexibility of biological password identification and improve the identification accuracy. In addition, the mobile terminal provided by the invention can identify the biological characteristics of the user by starting the identification mode corresponding to the scene information where the mobile terminal is currently located, so that the flexibility of biological password identification can be improved, and the identification accuracy can be improved.
Patent CN105627384A discloses a gas stove based on biological recognition, which includes an ignition switch, a face recognition camera, an information processing control module, a gas solenoid valve and a buzzer, which are arranged on the gas stove, specifically, after the face recognition camera collects a feature image of a face, the face recognition camera sends the feature image to the information processing control module, and the information processing control module retrieves and compares the currently obtained face feature image information with the face image information stored in advance; if the current image information is correct, the first output end of the information processing control module is closed, the gas electromagnetic valve is controlled to be switched on, the power supply of the electronic ignition circuit is switched on, and the ignition switch is switched on, so that normal ignition can be realized; if the current image information is incorrect, the second output end of the information processing control module is closed, the buzzer is controlled to sound for alarming, the ignition switch is opened, normal ignition cannot be achieved, and meanwhile an alarm signal or direct dialing is sent to the mobile terminal through controlling the internet of things device. The invention prevents the gas stove from danger by an intelligent means.
Patent 108427873a discloses a biometric feature recognition method and a mobile terminal, which solves the problem that when the existing mobile terminal recognizes a biometric feature, the corresponding biometric feature can only be recognized according to the biometric feature recognition mode currently opened by the mobile terminal, and the recognition rate is low. The identification method of the invention comprises the following steps: receiving target operation input by a user; responding to the target operation, and acquiring scene characteristic information of the environment where the mobile terminal is located; and determining at least one target biological characteristic recognition mode from the multiple preset biological characteristic recognition modes according to the relationship between the scene characteristic information and the recognition conditions corresponding to the multiple preset biological characteristic recognition modes, and recognizing the target biological characteristics input by the user and corresponding to the target biological characteristic recognition mode. According to the embodiment of the invention, under the characteristic information of the current scene, the target biological characteristics with higher identification success rate are selected from multiple preset biological characteristics for identification, so that the identification success rate of the mobile terminal in identifying the biological characteristics is improved.
Patent CN208014035U discloses an intelligent access control system, which collects user identity information (one or more of face image, iris, voiceprint, fingerprint or palm print) through an information collection module, and stores data through an information storage module arranged in an access control module, the access control module identifies the user through an identification module, compares and matches the user identity information data according to a comparison module and the information storage module successfully and controls an intelligent lock to unlock, and starts an alarm unit to alarm if the matching is not successful; the environment monitoring and alarming module is used for monitoring the surrounding environment of the camera and giving an alarm when danger is detected, so that the safety is further improved; the intelligent control to the entrance guard is realized, the cost is effectively saved, the intelligent degree is high, the safety is higher and more humanized, the visual talkback module realizes voice and video conversation with the visitor, and the user experience is enhanced.
It can thus be seen that: patent CN111462859A utilizes medical personnel to participate in the whole right completely, constantly judges patient's health, does the label to production rehabilitation course, but this needs medical personnel's a large amount of participation, has increased the cost of healthy exercise, needs medical personnel's subjective experience moreover, and this is high to medical personnel's whole quality requirement, thereby causes medical personnel's shortage easily, also makes medical personnel more painstaking.
Therefore, the current personnel identification mainly has the following technical defects:
1. at present, the personnel identification is widely applied and has strong substantial use value, but at present, the identification is mainly carried out by utilizing the portrait identification and fingerprint identification technologies, but in the 315 evening of the last years, the portrait identification is carried out by utilizing the recorded false video, and the portrait identification can safely pass through; the fingerprint sleeve identification method can easily remove the defects of fingerprint identification; this necessarily leads to failure of the identification method;
2. at present, personnel identification is applied to banks at present, and other important information such as cash transaction can be partially identified and used, but the personnel identification is easily coerced by other people, if robbery and other conditions occur, the personnel are forced to take money, a password is not needed, the person only needs a human face or a fingerprint to enter, and the safety is not as good as that of the prior fingerprint identification.
3. At present, other people may acquire information by using other camouflage chemicals and the like. The method is characterized in that the method comprises the following steps that (1) a user loses consciousness temporarily by utilizing camouflage drugs and the like, so that the operator pretends to be the real will of the user to carry out illegal activities, and the real situation of the identified person is not reflected really;
4. at present, for face recognition, a camera is only used for obtaining partial images, namely the whole head portrait, the whole image is not obtained, and only the face image is used for recognition, so that under the conditions that personnel are stressed, the stressed person is not on the image and is not recognized, money and money or identity are stolen;
therefore, it is desirable to provide a more intelligent and safe recognition system that can truly reflect the intention of the recognized person, and stop recognition or improve the recognition safety by using manual control recognition when the emotion, mood, etc. of the recognized person are abnormal, but there is no effective technical means to solve the above technical problems.
Disclosure of Invention
The present invention is directed to a system and a method for identifying biometric features of a person, so as to solve the problems mentioned in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a personnel biological characteristic recognition system comprises an AI recognition control server, a sensing information acquisition module, a display reminding module, a network communication module, a voice prompt module, an alarm module and a remote control end;
the AI identification control server is respectively in data communication connection with the sensing information acquisition module, the display reminding module, the network communication module, the voice prompt module, the alarm module and the remote control terminal;
the sensing information acquisition module comprises an image sensing module, a temperature sensing module and a sound sensing module; the image sensing module is used for acquiring image information of an identified person, the image sensing module is provided with cameras which are arranged at upper and lower positions so as to acquire the whole image information of the identified person and an environmental image in a certain range around the identified person, the acquired image is sent to the AI identification control server, the AI identification control server identifies and cuts the acquired image, and cuts the head image of the identified person and sends the head image to the display reminding module for display; the AI identification control server identifies the environmental image in a certain range around the environment according to the acquired image, judges whether an abnormal condition exists, and when the abnormal condition is identified, the AI identification control server sends the abnormal condition to the bottom of the display reminding module for displaying, prompts the suspension of biological feature identification through the display reminding module and sends the suspended biological feature identification to the alarm module for alarming;
the temperature sensing module is used for acquiring the face temperature or finger temperature of the recognizer so as to judge whether the person is a real person to perform biological recognition; the voice sensing module is used for acquiring the voice of the recognizer; when the biological feature recognition is carried out, the upper camera and the lower camera of the image sensing module acquire images of a recognized person and send the images to the AI recognition control server for recognition, and when the images of the whole person of the recognized person cannot be recognized, the upper camera and the lower camera are automatically adjusted so as to acquire the whole images of the recognized person; meanwhile, the temperature sensing module acquires the temperature of the identified person through infrared sensing equipment so as to determine that the identified person is a real person, but not an image or other objects; the voice prompt module sends interactive voice, and simultaneously, a recognized person carries out corresponding voice response according to the interactive voice, the voice response is converted into an electric signal through the voice sensing module and is sent to the AI recognition control server, the AI recognition control server carries out voice recognition and judges whether the response accords with the interactive voice response condition, and when an abnormal condition occurs, a biological feature recognition process is skipped out and is sent to the alarm module for alarming; in addition, the AI identification control server also identifies the mouth shape of the identified person at the same time, and when the mouth shape and the voice response of the other identified person are not reasonable, the AI identification control server jumps out of the biological characteristic identification process and sends the mouth shape and the voice response of the other identified person to the alarm module for alarming;
the network communication module is in network communication connection with the remote control terminal, so that remote control of the personnel biological characteristic recognition system is achieved, when the abnormal condition occurs, the AI recognition control server sends the network communication module, the network communication module sends the remote control terminal, the remote control personnel perform manual recognition through the remote control terminal and recognized personnel to confirm whether the abnormal condition is real or not, and when the abnormal condition is not real, the remote control personnel send the AI recognition control server through the remote control terminal to cancel alarm.
Preferably, the sensing information acquisition module still includes fingerprint identification module, fingerprint identification module can acquire fingerprint information and finger temperature information simultaneously, when discerning, image sensing module acquires the person's of being discerned image, simultaneously, reminds the person of being discerned to be in fingerprint identification module input fingerprint, fingerprint identification module detects when the fingerprint possesses the anthropometric body temperature, then types the fingerprint, and send to AI discernment control server, if when not detecting the anthropometric body temperature, then deem as discernment abnormal conditions, and pass through alarm module reports to the police.
Preferably, the AI recognition control server further comprises a facial expression recognition module, the facial expression recognition module extracts facial expressions according to the images of the recognized persons acquired by the image sensing module and performs facial expression recognition, when the facial expressions include dead or non-expression or tension abnormal expressions, the facial expression recognition module passes the information through the AI recognition control server, and the AI recognition control server sends the information to the remote control personnel at the remote control end through the network communication module, so that the remote control personnel perform manual recognition through remote operation.
Preferably, the AI discerns the control server and still includes heart rate and pulse recognition module, when carrying out biological feature identification, heart rate and pulse recognition module acquire the heart rate and the pulse information of quilt discerned person, the discernment control server is according to heart rate and pulse information utilize AI analysis the emotion of quilt discerned person, AI discernment control server discerns when heart rate and pulse information abnormal conditions appear, send to alarm module reports to the police, simultaneously, AI discernment control server passes through network communication module sends to remote control personnel of remote control end to remote control personnel carry out manual identification through remote operation.
Preferably, the AI recognition control server further comprises a facial expression recognition module and a heart rate and pulse recognition module, wherein the facial expression recognition module extracts facial expressions according to the images of the recognized person acquired by the image sensing module and performs facial expression recognition; the heart rate and pulse recognition module acquires heart rate and pulse information of a recognized person, and the recognition control server analyzes the emotion of the recognized person by utilizing AI according to the heart rate and pulse information;
the emotion of the identified person obtained by the facial expression recognition module is compared with the emotion of the identified person obtained by the heart rate and pulse recognition module, when the two emotions are inconsistent, an abnormal situation is considered to occur, the AI recognition control server sends the emotion to a remote control person at a remote control end through the network communication module, and therefore the remote control person carries out manual recognition through remote operation.
Preferably, the abnormal condition includes that after the image sensing module acquires the image information, the AI identification control server identifies the image by adopting an edge detection method, analyzes and detects the face feature information and the camera, and detects that people other than the identified people or the camera views the identified people or records or shoots corresponding images in the image of the surrounding environment.
Preferably, the AI identification control server further comprises a breath identification module, when the biological characteristic identification is carried out, the breath identification module acquires the breath information of the identified person, the identification control server utilizes AI to analyze the emotion of the identified person according to the breath information, the AI identification control server identifies that the breath information is abnormal and sends the breath information to the alarm module to give an alarm, and meanwhile, the AI identification control server sends the breath information to the remote control personnel at the remote control end through the network communication module, so that the remote control personnel can carry out manual identification through remote operation.
Preferably, the AI recognition control server further comprises a facial expression recognition module and a breath recognition module, wherein the facial expression recognition module extracts facial expressions according to the images of the recognized person acquired by the image sensing module and performs facial expression recognition; the breath identification module acquires the breath information of the identified person, and the identification control server analyzes the emotion of the identified person by using AI according to the heart rate and pulse information;
the emotion of the identified person obtained by the facial expression recognition module is compared with the emotion of the identified person obtained by the breathing recognition module, when the two emotions are inconsistent, an abnormal situation is considered to occur, the AI recognition control server sends the emotion to a remote control person at the remote control end through the network communication module, and therefore the remote control person carries out manual recognition through remote operation.
In another aspect, the present application further provides a method for identifying a biometric characteristic of a person, comprising a biometric characteristic identification system of the person, the steps are as follows;
step S1, initializing the personnel biological characteristic recognition system, and confirming that the AI recognition control server is in normal data communication connection with the sensing information acquisition module, the display reminding module, the network communication module, the voice prompt module, the alarm module and the remote control terminal respectively;
step S2, the image sensing module obtains the image information of the identified person, the image sensing module obtains the whole image information of the identified person and the environment image in a certain range around the identified person, and sends the image to the AI identification control server for identification, when the image of the whole person of the identified person can not be identified, the upper camera and the lower camera are automatically adjusted so as to obtain the whole image of the identified person; the AI recognition control server recognizes and cuts the acquired image, cuts the head image of the recognized person and sends the head image to the display reminding module for display;
step S3, the AI identification control server identifies the environmental image in a certain range around according to the acquired image, judges whether an abnormal condition exists, when the abnormal condition is identified, the AI identification control server sends the abnormal condition to the bottom of the display reminding module for displaying, prompts the suspension of biological feature identification through the display reminding module, and sends the abnormal condition to the alarm module for alarming;
step S4, the temperature sensing module obtains the face temperature or finger temperature of the recognizer so as to judge whether the person is a real person to perform biological recognition; or acquiring the voice of the recognizer through the voice sensing module; the temperature sensing module acquires the temperature of an identified person through infrared sensing equipment to determine that the identified person is a real person, but not an image or other objects;
step S5, the voice prompt module sends interactive voice, and at the same time, the identified person makes corresponding voice reply according to the interactive voice, the voice reply is converted into electric signal by the voice sensing module and sent to the AI recognition control server, the AI recognition control server makes voice recognition and judges whether the reply accords with the interactive voice reply condition, when abnormal condition occurs, the biological feature recognition process is skipped and the answer is sent to the alarm module for alarming;
and step S6, the AI identification control server also identifies the mouth shape of the identified person, and when the mouth shape and the voice response of the other identified person are not reasonable, the AI identification control server jumps out of the biological feature identification process and sends the mouth shape and the voice response of the other identified person to the alarm module for alarming.
Preferably, the network communication module is in network communication connection with the remote control terminal, so as to remotely control the personnel biological characteristic identification system, when the abnormal condition occurs, the AI identification control server sends the network communication module, the network communication module sends the remote control terminal, the remote control personnel perform manual identification through the remote control terminal and the identified personnel to confirm whether the abnormal condition is real or not, and when the abnormal condition is not real, the remote control personnel send the AI identification control server through the remote control terminal to cancel the alarm.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention adopts a cross validation mode by utilizing the traditional video technology and the existing personnel checking technology, simultaneously identifies the distance of a tester and the face of a person, performs cross validation to ensure the authenticity of the person, and simultaneously checks the surrounding environment, thereby being capable of eliminating the candid photograph to realize the identification of the person.
2. The identification system of the invention can shoot the person or surrounding personnel at the same time, identify surrounding potential risks, prompt identification failure when the potential risks exist, and alarm to prevent the identified person from being forcibly identified so as to generate property and safety risks.
3. In the exercise control system, the facial expression and emotion of a tester are measured, and when abnormality occurs, the transaction is terminated or a manual remote identification mode is used, so that the real meaning of an identifier can be better reflected.
4. The identification system displays the upper head portrait, but always shoots all images, so that the whole image of an identified person is prevented from being acquired by others, the privacy of a user is guaranteed, and the identified person is prevented from being discovered by bad molecules.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic structural diagram of a sensing information obtaining module according to the present invention;
fig. 3 is a schematic structural diagram of an AI recognition control server according to the present invention.
In the figure: 1. an AI identification control server; 2. a sensing information acquisition module; 3. a display reminding module; 4. a network communication module; 5. a voice prompt module; 6. an alarm module; 7. an image sensing module; 8. a temperature sensing module; 9. a sound sensing module; 10. a remote control end; 11. a fingerprint identification module; 12. a facial expression recognition module; 13. a heart rate and pulse recognition module; 15. and a breath identification module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The first embodiment is as follows:
referring to fig. 1, the present invention provides a technical solution: a personnel biological characteristic recognition system comprises an AI recognition control server 1, a sensing information acquisition module 2, a display reminding module 3, a network communication module 4, a voice prompt module 5, an alarm module 6 and a remote control terminal 10;
the AI identification control server 1 is respectively in data communication connection with the sensing information acquisition module 2, the display reminding module 3, the network communication module 4, the voice prompt module 5, the alarm module 6 and the remote control terminal 10;
the sensing information acquisition module 2 comprises an image sensing module 7, a temperature sensing module 8 and a sound sensing module 9; the image sensing module 7 is configured to acquire image information of an identified person, the image sensing module 6 is provided with cameras arranged at upper and lower positions so as to acquire the whole image information of the identified person and an environmental image in a certain range around the identified person, and send the acquired image to the AI identification control server 1, the AI identification control server 1 identifies and cuts the acquired image, cuts a head image of the identified person, and sends the head image to the display reminding module 3 for display; the AI identification control server 1 identifies the environmental image in a certain range around the environment according to the acquired image, judges whether an abnormal condition exists, and when the abnormal condition is identified, the AI identification control server 1 sends the abnormal condition to the bottom of the display reminding module 3 for displaying, prompts suspension of biological feature identification through the display reminding module 3, and sends the abnormal condition to the alarm module 6 for alarming;
the temperature sensing module 8 is used for acquiring the face temperature or finger temperature of the recognizer so as to judge whether the person is a real person to perform biological recognition; the sound sensing module 9 is used for acquiring the sound of the recognizer; when the biological feature recognition is carried out, the upper camera and the lower camera of the image sensing module 7 acquire images of a recognized person and send the images to the AI recognition control server 1 for recognition, and when the images of the whole person of the recognized person cannot be recognized, the upper camera and the lower camera are automatically adjusted so as to acquire the whole images of the recognized person; meanwhile, the temperature sensing module 8 acquires the temperature of the identified person through an infrared sensing device to determine that the identified person is a real person, but not an image or other object; the voice prompt module 5 sends interactive voice, and simultaneously, a recognized person carries out corresponding voice response according to the interactive voice, the voice response is converted into an electric signal through the voice sensing module 9 and is sent to the AI recognition control server 1, the AI recognition control server 1 carries out voice recognition and judges whether the response accords with the interactive voice response condition, and when an abnormal condition occurs, a biological feature recognition process is skipped and the response is sent to the alarm module 6 for alarming; in addition, the AI identification control server 1 also identifies the mouth shape of the identified person at the same time, and when the mouth shape and the voice response of the other identified person are not reasonable, the biological feature identification process is skipped and the voice response is sent to the alarm module 6 for alarming;
the network communication module 4 is in network communication connection with the remote control terminal 10, so that remote control of the personnel biometric feature recognition system is achieved, when the abnormal condition occurs, the AI recognition control server 1 sends the abnormal condition to the network communication module 4, the network communication module 4 sends the abnormal condition to the remote control terminal 10, a remote control personnel carries out manual recognition through the remote control terminal 10 and a recognized personnel to confirm whether the abnormal condition is real or not, and when the abnormal condition is not real, the remote control personnel sends the abnormal condition to the AI recognition control server 1 through the remote control terminal 10 to cancel alarm.
Preferably, sensing information acquisition module 2 still includes fingerprint identification module 11, fingerprint identification module 11 can acquire fingerprint information and finger temperature information simultaneously, when discerning, image sensing module 7 acquires by the person's of discerning image, simultaneously, reminds by the person of discerning to be in fingerprint identification module 11 inputs the fingerprint, fingerprint identification module 11 detects when the fingerprint possesses anthropometric body temperature, then types the fingerprint, and send to AI discernment control server 1, if when not detecting anthropometric body temperature, then deem as discernment abnormal conditions, and pass through alarm module 6 reports to the police.
Preferably, the AI recognition control server 1 further includes a facial expression recognition module 12, the facial expression recognition module 12 extracts facial expressions according to the image of the recognized person acquired by the image sensing module 7, and performs facial expression recognition, when the facial expressions of the face include dead or non-expression or tension abnormal expressions, the facial expression recognition module 12 transmits the information to the AI recognition control server 1, and the AI recognition control server 1 transmits the information to the remote control personnel at the remote control terminal 10 through the network communication module 4, so that the remote control personnel perform manual recognition through remote operation.
Preferably, the AI identification control server 1 further comprises a heart rate and pulse identification module 13, when performing biometric identification, the heart rate and pulse identification module 13 acquires the heart rate and pulse information of the identified person, the identification control server 1 analyzes the emotion of the identified person according to the heart rate and pulse information by utilizing AI, the AI identification control server 1 identifies that the heart rate and pulse information are abnormal, and sends the abnormal conditions to the alarm module 6 to give an alarm, and meanwhile, the AI identification control server 1 sends the abnormal conditions to the remote control personnel at the remote control terminal 10 through the network communication module 4, so that the remote control personnel perform manual identification through remote operation.
Preferably, the AI recognition control server 1 further includes a facial expression recognition module 12 and a heart rate and pulse recognition module 13, wherein the facial expression recognition module 12 extracts facial expressions according to the images of the recognized person acquired by the image sensing module 7, and performs facial expression recognition; the heart rate and pulse recognition module 13 acquires heart rate and pulse information of a recognized person, and the recognition control server 1 analyzes emotion of the recognized person by using AI according to the heart rate and pulse information;
through facial expression identification module 12 discernment is obtained the emotion of person being identified and through heart rate and pulse recognition module 13's mode obtain the emotion of person being identified and compare, when these two emotions are inconsistent, think promptly that abnormal conditions has appeared, AI discernment control server 1 passes through network communication module 4 sends to remote control personnel of remote control end 10 to remote control personnel carry out manual identification through remote operation.
Preferably, the abnormal condition includes that after the image sensing module 7 acquires the image information, the AI recognition control server 1 recognizes the image by adopting an edge detection method, analyzes and detects the face feature information and the camera, and detects that people other than the identified people or the camera in the image of the surrounding environment view the identified people or record or shoot a corresponding image.
Preferably, the AI identification control server 1 further includes a breath identification module 14, when performing biometric identification, the breath identification module 14 obtains breath information of an identified person, the identification control server 1 analyzes emotion of the identified person by using AI according to the breath information, the AI identification control server 1 identifies that the breath information is abnormal, and sends the breath information to the alarm module 6 for alarming, and meanwhile, the AI identification control server 1 sends the breath information to a remote control person of the remote control terminal 10 through the network communication module 4, so that the remote control person performs manual identification through remote operation.
Preferably, the AI recognition control server 1 further includes a facial expression recognition module 12 and a breathing recognition module 14, and the facial expression recognition module 12 extracts facial expressions according to the images of the recognized person acquired by the image sensing module 7, and performs facial expression recognition; the respiration recognition module 14 acquires the respiration information of the recognized person, and the recognition control server 1 analyzes the emotion of the recognized person by using AI according to the heart rate and pulse information;
the emotion of the identified person obtained by the facial expression recognition module 12 is compared with the emotion of the identified person obtained by the breathing recognition module 13, when the emotion of the identified person is inconsistent, that is, an abnormal situation is considered to occur, the AI recognition control server 1 sends the emotion to a remote control person at the remote control terminal 10 through the network communication module 4, and therefore the remote control person performs manual recognition through remote operation.
The second embodiment is as follows:
the person biological feature identification method comprises a person biological feature identification system,
step S1, initializing the personnel biological feature recognition system, and confirming that the AI recognition control server 1 is in normal data communication connection with the sensing information acquisition module 2, the display reminding module 3, the network communication module 4, the voice prompt module 5, the alarm module 6 and the remote control terminal 10 respectively;
step S2, the image sensing module 7 obtains the image information of the identified person, the image sensing module 6 obtains the whole image information of the identified person and the environment image in a certain range around the identified person, and sends the image to the AI identification control server 1 for identification, and when the image of the whole person of the identified person is not identified, the upper and lower cameras are automatically adjusted so as to obtain the whole image of the identified person; the acquired image is sent to the AI identification control server 1, the AI identification control server 1 identifies and cuts the acquired image, cuts the head image of the identified person out and sends the head image to the display reminding module 3 for display;
step S3, the AI identification control server 1 identifies the environmental image in a certain range around according to the acquired image, judges whether there is an abnormal condition, when the abnormal condition is identified, the AI identification control server 1 sends the abnormal condition to the bottom of the display reminding module 3 for display, and prompts the suspension of biological feature identification through the display reminding module 3, and sends the abnormal condition to the alarm module 6 for alarming;
step S4, the temperature sensing module 8 obtains the face temperature or finger temperature of the recognizer, so as to judge whether the person is a real person to perform biological recognition; or the voice of the recognizer is obtained through the voice sensing module 9; the temperature sensing module 8 acquires the temperature of the identified person through an infrared sensing device to determine that the identified person is a real person, but not an image or other object;
step S5, the voice prompt module 5 sends interactive voice, and simultaneously, the identified person makes a corresponding voice response according to the interactive voice, the voice response is converted into an electric signal through the voice sensing module 9 and sent to the AI recognition control server 1, the AI recognition control server 1 performs voice recognition and judges whether the response meets the interactive voice response condition, and when an abnormal condition occurs, the biological feature recognition process is skipped and sent to the alarm module 6 for alarming;
in step S6, the AI recognition control server 1 also recognizes the mouth shape of the recognized person, and when the mouth shape and the voice response of the other recognizer are not reasonable, jumps out of the biometric recognition process and sends the voice response to the alarm module 6 for alarm.
Preferably, the network communication module 4 is in network communication with the remote control terminal 10, so as to remotely control the personnel biometric feature recognition system, when the abnormal condition occurs, the AI recognition control server 1 sends the abnormal condition to the network communication module 4, the network communication module 4 sends the abnormal condition to the remote control terminal 10, a remote control personnel performs manual recognition through the remote control terminal 10 and a recognized personnel to confirm whether the abnormal condition is true, and when the abnormal condition is not true, the remote control personnel sends the abnormal condition to the AI recognition control server 1 through the remote control terminal 10 to cancel the alarm.
Preferably, the exercise equipment module includes a sensing module, the sensing module includes video and audio sensing modules, the video module can acquire the exerciser's exercise video information, the audio module acquires the exerciser's exercise audio information to can give the exerciser's audio and video information central control module signal connection, thereby medical personnel can take exercise remote guidance through medical care evaluation and guide module in a remote location.
Preferably, exercise equipment module or when wearable equipment sensing takes place abnormal conditions to personnel, send abnormal conditions for recovered control high in the clouds, recovered control high in the clouds is sent alarm information and is given medical evaluation and guide module to medical personnel can in time know the state of an illness, propose urgent rescue way, pass through simultaneously urgent distress call unit 3 reports to the police to 120 or other first-aid terminals and seeks help.
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.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A personnel biological feature recognition system comprises an AI recognition control server (1), a sensing information acquisition module (2), a display reminding module (3), a network communication module (4), a voice prompt module (5) and a remote control terminal (10);
the AI identification control server (1) is respectively in data communication connection with the sensing information acquisition module (2), the display reminding module (3), the network communication module (4), the alarm module (6) and the remote control terminal (10);
the method is characterized in that:
the sensing information acquisition module (2) comprises an image sensing module (7), a temperature sensing module (8) and a sound sensing module (9); the image sensing module (7) is used for acquiring image information of a person to be identified, the image sensing module (7) is provided with cameras which are arranged at upper and lower positions so as to acquire the whole image information of the person to be identified and an environment image in a certain range around the person to be identified, the acquired image is sent to the AI identification control server (1), the AI identification control server (1) identifies and cuts the acquired image, cuts a head image of the person to be identified and sends the head image to the display reminding module (3) for display; the AI identification control server (1) identifies environmental images in a certain range around the environment according to the acquired images at the same time, judges whether abnormal conditions exist or not, and when the abnormal conditions are identified, the AI identification control server (1) sends the abnormal conditions to the bottom of a display of the display reminding module (3) for display, prompts the suspension of biological feature identification through the display reminding module (3), and sends the abnormal conditions to the alarm module (6) for alarming;
the temperature sensing module (8) is used for acquiring the face temperature or finger temperature of the recognizer so as to judge whether the person is a real person to perform biological recognition; the sound sensing module (9) is used for acquiring the sound of the recognizer; when the biological feature recognition is carried out, the upper camera and the lower camera of the image sensing module (7) acquire images of a person to be recognized and send the images to the AI recognition control server (1) for recognition, and when the images of the whole person of the person to be recognized cannot be recognized, the upper camera and the lower camera are automatically adjusted so that the whole images of the person to be recognized are acquired; meanwhile, the temperature sensing module (8) acquires the temperature of the identified person through an infrared sensing device to determine that the identified person is a real person, but not an image or other objects; the voice prompt module (5) sends interactive voice, and meanwhile, a recognized person carries out corresponding voice response according to the interactive voice, the voice response is converted into an electric signal through the voice sensing module (9) and is sent to the AI recognition control server (1), the AI recognition control server (1) carries out voice recognition and judges whether the response meets the interactive voice response condition, and when an abnormal condition occurs, a biological feature recognition process is skipped and the response is sent to the alarm module (6) for alarming; in addition, the AI identification control server (1) also identifies the mouth shape of the identified person at the same time, and when the mouth shape and the voice response of the identified person are unreasonable, the mouth shape jumps out of the biological characteristic identification process and is sent to the alarm module (6) for alarming;
the network communication module (4) is in network communication connection with the remote control terminal (10), so that the personnel biological characteristic recognition system is remotely controlled, when the abnormal condition occurs, the AI recognition control server (1) sends the network communication module (4), the network communication module (4) sends the remote control terminal (10), a remote control person carries out manual recognition through the remote control terminal (10) and a recognized person to confirm whether the abnormal condition is real or not, and when the abnormal condition is not real, the remote control person sends the AI recognition control server (1) to cancel alarm through the remote control terminal (10).
2. A biometric personnel identification system as claimed in claim 1, wherein: sensing information acquisition module (2) still includes fingerprint identification module (11), fingerprint identification module (11) can acquire fingerprint information and finger temperature information simultaneously, when discerning, image sensing module (7) acquire the image of the person of being discerned, simultaneously, remind the person of being discerned to be in fingerprint identification module (11) input fingerprint, fingerprint identification module (11) detect when the fingerprint possesses anthropometric body temperature, then type in the fingerprint, and send to AI discernment control server (1), if do not detect when anthropometric body temperature, then the identification is the unusual condition, and passes through alarm module (6) report to the police.
3. A biometric personnel identification system as claimed in claim 1, wherein: the AI identification control server (1) further comprises a facial expression identification module (12), the facial expression identification module (12) extracts facial expressions according to the images of the identified person acquired by the image sensing module (7) and identifies the facial expressions, when the facial expressions of the face include dead or non-expression or tension abnormal expressions, the facial expression identification module (12) transmits the information to the AI identification control server (1), and the AI identification control server (1) transmits the information to a remote control person of the remote control terminal (10) through the network communication module (4), so that the remote control person can perform manual identification through remote operation.
4. A biometric personnel identification system as claimed in claim 1, wherein: AI discerns control server (1) still includes heart rate and pulse recognition module (13), when carrying out biological feature identification, heart rate and pulse recognition module (13) acquire the heart rate and the pulse information of quilt discerned person, AI discernment control server (1) is according to heart rate and pulse information utilize AI analysis the mood of quilt discerned person, AI discernment control server (1) discerns when heart rate and pulse information abnormal conditions appear, send to alarm module (6) report to the police, simultaneously, AI discernment control server (1) is through network communication module (4) send to the remote control personnel of remote control end (10) to remote control personnel carry out manual identification through remote operation.
5. A biometric personnel identification system as claimed in claim 1, wherein: the AI identification control server (1) further comprises a facial expression identification module (12) and a heart rate and pulse identification module (13), wherein the facial expression identification module (12) extracts facial expressions according to the images of the identified person acquired by the image sensing module (7) and carries out facial expression identification; the heart rate and pulse recognition module (13) acquires heart rate and pulse information of a recognized person, and the AI recognition control server (1) analyzes emotion of the recognized person by using AI according to the heart rate and pulse information;
the emotion of the identified person obtained through the recognition of the facial expression recognition module (12) is compared with the emotion of the identified person obtained through the heart rate and pulse recognition module (13), when the emotion of the identified person is inconsistent, namely an abnormal situation is considered to occur, the AI recognition control server (1) sends the emotion to a remote control person of the remote control terminal (10) through the network communication module (4), and therefore the remote control person carries out manual recognition through remote operation.
6. A biometric personnel identification system as claimed in claim 1, wherein: the abnormal condition comprises that after the image sensing module (7) acquires image information, the AI identification control server (1) identifies the image in an edge detection mode, analyzes and detects face feature information and a camera, and detects that people except the identified people or the camera in the image of the surrounding environment view the identified people or record or shoot corresponding images.
7. A biometric personnel identification system as claimed in claim 1, wherein: the AI identification control server (1) further comprises a breath identification module (14), when biological characteristic identification is carried out, the breath identification module (14) acquires the breath information of an identified person, the AI identification control server (1) analyzes the emotion of the identified person by utilizing AI according to the breath information, the AI identification control server (1) identifies that the breath information is abnormal and sends the breath information to the alarm module (6) for alarming, and meanwhile, the AI identification control server (1) sends the breath information to a remote control person of the remote control terminal (10) through the network communication module (4), so that the remote control person carries out manual identification through remote operation.
8. A biometric personnel identification system as claimed in claim 1, wherein: the AI identification control server (1) further comprises a facial expression identification module (12) and a breathing identification module (14), wherein the facial expression identification module (12) extracts facial expressions according to the images of the identified person acquired by the image sensing module (7) and identifies the facial expressions; the respiration recognition module (14) acquires the respiration information of the recognized person, and the AI recognition control server (1) analyzes the emotion of the recognized person by utilizing AI according to the heart rate and pulse information;
the emotion of the identified person obtained through the recognition of the facial expression recognition module (12) is compared with the emotion of the identified person obtained through the breathing recognition module (14), when the two emotions are inconsistent, namely, an abnormal situation is considered to occur, the AI recognition control server (1) sends the emotion to a remote control person of the remote control terminal (10) through the network communication module (4), and therefore the remote control person carries out manual recognition through remote operation.
9. A biometric identification method of a person, comprising the biometric identification system of a person of any one of claims 1 to 8,
step S1, initializing the personnel biological feature recognition system, and confirming that the AI recognition control server (1) is in normal data communication connection with the sensing information acquisition module (2), the display reminding module (3), the network communication module (4), the voice prompt module (5) and the remote control terminal (10) respectively;
step S2, the image sensing module (7) acquires the image information of the identified person, the image sensing module (7) acquires the whole image information of the identified person and the environment image in a certain range around the identified person, and sends the image to the AI identification control server (1) for identification, and when the image of the whole person of the identified person cannot be identified, the upper camera and the lower camera are automatically adjusted so as to acquire the whole image of the identified person; the acquired image is sent to the AI identification control server (1), the AI identification control server (1) identifies and cuts the acquired image, cuts the head image of the identified person and sends the head image to the display reminding module (3) for display;
step S3, the AI identification control server (1) identifies the environmental image in a certain range around according to the acquired image, judges whether an abnormal condition exists, when the abnormal condition is identified, the AI identification control server (1) sends the abnormal condition to the bottom of the display reminding module (3) for displaying, prompts the suspension of biological feature identification through the display reminding module (3), and sends the abnormal condition to the alarm module (6) for alarming;
step S4, the temperature sensing module (8) acquires the face temperature or finger temperature of the recognizer so as to judge whether the person is a real person to perform biological recognition; or the voice of the identified person is acquired through the voice sensing module (9); the temperature sensing module (8) acquires the temperature of the identified person through an infrared sensing device to determine that the identified person is a real person, but not an image or other objects;
step S5, the voice prompt module (5) sends interactive voice, and simultaneously, a recognized person carries out corresponding voice response according to the interactive voice, the voice response is converted into an electric signal through the voice sensing module (9) and sent to the AI recognition control server (1), the AI recognition control server (1) carries out voice recognition and judges whether the response accords with the interactive voice response condition, and when an abnormal condition occurs, a biological feature recognition process is skipped and sent to the alarm module (6) for alarming;
and step S6, the AI identification control server (1) also identifies the mouth shape of the identified person at the same time, and when the mouth shape and the voice response of the identified person are not reasonable, the AI identification control server jumps out of the biological characteristic identification process and sends the mouth shape and the voice response of the identified person to the alarm module (6) for alarming.
10. The biometric human-feature recognition method of claim 9, wherein: the network communication module (4) is in network communication connection with the remote control terminal (10), so that remote control of the personnel biological characteristic identification system is achieved, when the abnormal condition occurs, the AI identification control server (1) sends the network communication module (4), the network communication module (4) sends the remote control terminal (10), the remote control personnel manually identify through the remote control terminal (10) and identified personnel to confirm whether the abnormal condition is real or not, and when the abnormal condition is not real, the remote control personnel send the AI identification control server (1) to cancel alarm through the remote control terminal (10).
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