CN107194379B - Face recognition verification terminal capable of adapting to different application scenes and working method thereof - Google Patents
Face recognition verification terminal capable of adapting to different application scenes and working method thereof Download PDFInfo
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- CN107194379B CN107194379B CN201710509890.2A CN201710509890A CN107194379B CN 107194379 B CN107194379 B CN 107194379B CN 201710509890 A CN201710509890 A CN 201710509890A CN 107194379 B CN107194379 B CN 107194379B
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Abstract
The invention provides a working method of a face recognition verification terminal which can adapt to different application scenes, comprising the following steps: providing a storage unit; acquiring a light intensity value Es of a shooting area and a vibration value D of the shooting unit at the moment in response to shooting actions from the shooting unit f The method comprises the steps of carrying out a first treatment on the surface of the Based on the light intensity value Es and the vibration value D f Calculating an ambient light influence factor S 1 Vibration influencing factor S 2 And a comprehensive environmental impact factor S; in response to any one of three conditions: 1) Ambient light influencing factor S 1 Greater than a first set threshold, 2) a vibration influencing factor S 2 Is larger than a second set threshold value, 3) the comprehensive environmental impact factor S is larger than a third set threshold value, and an alarm signal is generated; otherwise, the image of the appointed shooting area shot by the shooting unit is stored in a storage unit, face information is identified from the image, and the face information is compared with the face information in the personnel information database to generate a comparison result. According to the invention, whether the external environment meets the requirements or not in shooting is judged from the hardware angle, so that the accuracy of face recognition verification is improved.
Description
Technical Field
The invention relates to the field of intelligent detection, in particular to a face recognition verification terminal capable of adapting to different application scenes and a working method thereof.
Background
The face recognition technology is based on facial features of a person, and an input face image or video stream is firstly judged whether a face exists or not, and if the face exists, the position and the size of each face and the position information of each main face organ are further given. And further extracting the identity characteristics contained in each face according to the information, and comparing the identity characteristics with the known faces so as to identify the identity of each face.
The generalized face recognition practically comprises a series of related technologies for constructing a face recognition system, including face image acquisition, face positioning, face recognition preprocessing, identity confirmation, identity searching and the like; whereas narrow face recognition refers specifically to techniques or systems for identity verification or identity lookup through a face.
It is known that the quality of the photographed image will have a larger influence on the recognition result, and the higher the image quality, the higher the accuracy of recognition. The image quality and the external environment factors are very related, for example, in the case of dark light, or the camera shake due to some reasons, etc., which can cause the image quality to be reduced.
In the prior art, some compensation methods on image processing software are generally adopted, or a camera with higher performance is replaced to balance negative effects on images caused by external environment factors, so that the requirements on the software or the camera are higher, and the cost is increased.
Disclosure of Invention
The invention aims to provide a face recognition verification terminal which can adapt to different application scenes and a working method thereof, and the face recognition verification terminal is used for judging whether the external environment factors of the face recognition verification terminal meet the set requirements when shooting images, if the external environment factors meet the requirements, the face recognition verification terminal is directly adopted, and if the external environment factors do not meet the requirements, a user is prompted to revise as soon as possible so as to improve the quality of the images shot by the face recognition verification terminal.
To achieve the above object, the present invention provides a working method of a face recognition verification terminal capable of adapting to different application scenarios, the face recognition verification terminal having a camera unit (30), comprising:
providing a storage unit, wherein the storage unit is provided with a personnel information database for recording a plurality of face information;
acquiring a light intensity value Es of a shooting area at the moment in response to a shooting action from an imaging unit;
acquiring a vibration value D of the imaging unit at this time in response to a photographing action from the imaging unit f ；
Based on the light intensity value Es, the formula is passed
Calculating ambient light influencing factor S 1 Wherein E is 0 A light intensity value for enabling the shooting effect to reach the optimum;
based on the vibration value D f Through formula S 2 ＝D f Calculating vibration influencing factor S 2 ；
Based on the light intensity value Es and the vibration value Df, the light intensity value Es and the vibration value Df are calculated by the formula
Calculating a comprehensive environmental impact factor S;
in response to any one of three conditions: 1) The ambient light influencing factor S 1 Greater than a first set threshold value, 2) the vibration influencing factor S 2 Is larger than a second set threshold value, 3) the comprehensive environmental impact factor S is larger than a third set threshold value, and an alarm signal is generated; otherwise the first set of parameters is selected,
and storing the image of the appointed shooting area shot by the shooting unit into a storage unit, identifying face information from the image, and comparing the identified face information with face information in a person information database to generate a comparison result.
Further, the method comprises the steps of:
providing a display unit;
responding to the warning signal, and informing a user of the generation reason of the warning signal through a display unit;
the generation reasons of the warning signal comprise: 1) The ambient light influencing factor S 1 Greater than a first set threshold value, 2) the vibration influencing factor S 2 Greater than a second set threshold, 3) the integrated environmental impact factor S is greater than a third set threshold.
Further, the display unit is further configured to display the comparison result.
The invention also provides a face recognition verification terminal which can adapt to different application scenes, and comprises a shooting key, a shooting unit, an environment parameter acquisition unit, a storage unit and a processing unit;
the storage unit is used for storing a personnel information database, and a plurality of face information are recorded in the personnel information database;
the processing unit is electrically connected with the shooting key and is set to respond to the pressing of the shooting key to generate a shooting instruction;
the image pickup unit is electrically connected with the processing unit and is arranged to pick up an image of a designated shooting area according to the shooting instruction generated by the processing unit;
the environment parameter acquisition unit comprises a light intensity sensor and a vibration sensor;
the light intensity sensor is electrically connected with the processing unit and is set to respond to a shooting instruction, detect the light intensity value Es in the appointed area and feed back the detection result to the processing unit;
the vibration sensor is electrically connected with the processing unit and is configured to respond to shooting instructions and detect the vibration value D of the shooting unit f And feeding back the detection result to the processing unit;
the processing unit receives detection results fed back by the light intensity sensor and the vibration sensor and calculates environment light influence factors S respectively 1 Vibration influencing factor S 2 Comprehensive environmental impact factor S;
the processing unit is responsive to any one of three conditions: 1) The ambient light influencing factor S 1 Greater than a first set threshold value, 2) the vibration influencing factor S 2 Is larger than a second set threshold value, 3) the comprehensive environmental impact factor S is larger than a third set threshold value, and an alarm signal is generated; otherwise the first set of parameters is selected,
and storing the image of the appointed shooting area shot by the shooting unit into a storage unit, identifying face information from the image, and comparing the identified face information with face information in a person information database to generate a comparison result.
Furthermore, the face recognition verification terminal is also provided with a light intensity compensation unit, and the light intensity compensation unit comprises a plurality of light sources which are distributed;
the processing unit is electrically connected with the light intensity compensation unit and responds to the ambient light influencing factor S 1 Above a first set threshold, part of the light sources are turned on and/or off.
Further, the light source is arranged to be light-intensity adjustable.
Further, the light source is arranged on a rotatable base
Furthermore, the face recognition verification terminal is also provided with a network communication interface, and the network communication interface is connected with the processing unit and used for accessing the processing unit into a network.
Further, the face recognition verification terminal is provided with a display unit, and the display unit is electrically connected with the processing unit and used for displaying the generation reason and/or comparison result of the warning signal.
Furthermore, the face recognition verification terminal is also provided with a voice prompt unit, and the voice prompt unit is electrically connected with the processing unit;
the processing unit is set to respond to the successful comparison of the received shooting image and the personnel information data in the personnel information database, and generate a prompt signal;
the voice prompt unit is configured to issue a voice prompt in response to a prompt signal.
Compared with the prior art, the technical scheme has the remarkable beneficial effects that whether the external environment factors of the face recognition verification terminal meet the set requirements or not is judged, if the external environment factors meet the requirements, the face recognition verification terminal is directly adopted, and if the external environment factors do not meet the requirements, a user is prompted to revise as soon as possible so as to improve the quality of the image shot by the face recognition verification terminal.
It should be understood that all combinations of the foregoing concepts, as well as additional concepts described in more detail below, may be considered a part of the inventive subject matter of the present disclosure as long as such concepts are not mutually inconsistent. In addition, all combinations of claimed subject matter are considered part of the disclosed inventive subject matter.
The foregoing and other aspects, embodiments, and features of the present teachings will be more fully understood from the following description, taken together with the accompanying drawings. Other additional aspects of the invention, such as features and/or advantages of the exemplary embodiments, will be apparent from the description which follows, or may be learned by practice of the embodiments according to the teachings of the invention.
Drawings
The drawings are not intended to be drawn to scale. In the drawings, each identical or nearly identical component that is illustrated in various figures may be represented by a like numeral. For purposes of clarity, not every component may be labeled in every drawing. Embodiments of various aspects of the invention will now be described, by way of example, with reference to the accompanying drawings, in which:
fig. 1 is a flowchart of an operation method of the face recognition verification terminal capable of using different application scenarios of the present invention.
Fig. 2 is a schematic structural diagram of the face recognition verification terminal capable of adapting to different application scenarios.
Detailed Description
For a better understanding of the technical content of the present invention, specific examples are set forth below, along with the accompanying drawings.
Aspects of the invention are described in this disclosure with reference to the drawings, in which are shown a number of illustrative embodiments. The embodiments of the present disclosure are not necessarily intended to include all aspects of the invention. It should be understood that the various concepts and embodiments described above, as well as those described in more detail below, may be implemented in any of a number of ways, as the disclosed concepts and embodiments are not limited to any implementation. Additionally, some aspects of the disclosure may be used alone or in any suitable combination with other aspects of the disclosure.
First we summarize several external environmental factors that affect the quality of the snap shot image, such as light intensity, shake of the shooting terminal, distance of shooting distance, etc.
These external environmental factors are objectively present, for example, the light intensity in overcast and rainy days is lower than that in sunny days, and also indoor, and the light intensity in subways is lower than that in high buildings; as for shake, there are artificial hand shake, and also shake of the ground or a carrier on which the image pickup unit 30 is placed due to external factors; on the other hand, even if the camera unit 30 has an auto-focusing function, the captured face image is still larger or smaller, which is inconvenient for system identification and verification.
From the foregoing, it is clear that the current common solution is to use a software compensation method or to replace a higher performance camera, which would certainly cause an increase in cost and complexity of the procedure.
Therefore, the invention improves the external environment from the hardware perspective, ensures that the external environment parameters are suitable for capturing the face image with the optimal effect, and reduces the requirements on the camera and the image processing software on the premise of ensuring the image quality.
The premise of improving the external environment is to acquire and judge whether the external environment factors meet the requirements and which environment parameters do not meet the requirements.
Referring to fig. 1, the present invention refers to a face recognition verification terminal capable of adapting to different application scenarios, which includes a photographing key 10, a photographing unit 30, an environmental parameter collecting unit 50, a storage unit 40, and a processing unit 20.
In this embodiment, a shooting button 10 is provided in the structure to enable the user to grasp the shooting time, and press the shooting button 10 to enter the shooting procedure, so that the face recognition verification terminal of the structure is actively selected by the user to shoot at the shooting time and the shooting object.
In another embodiment, after the face recognition verification terminal is turned on, the face recognition verification terminal will enter a continuous working state, which requires another human body sensing unit to be set to sense that a person enters a specified shooting area, and the human body sensing unit can adopt an infrared sensor and the like.
For convenience of explanation, the following embodiments take a configuration of a face recognition authentication terminal, which is exemplified by actively selecting a photographing time and a photographing object by a user, as an example.
The photographing button 10 is electrically connected to the processing unit 20, and after the user presses the photographing button 10, the processing unit 20 generates a photographing instruction first, the photographing unit 30 photographs an image of the designated area, and at the same time, the environmental parameter collection unit 50 starts to collect the current environmental parameter.
Three environmental parameters are presented in this application: the light intensity, the vibration value of the image capturing unit 30, and the distance between the image capturing unit 30 and the object to be captured should at least include a light intensity sensor 51, a vibration sensor 52, and a distance sensor 53 for detecting the light intensity in the specified image capturing area, the vibration value of the image capturing unit 30, and the distance between the image capturing unit 30 and the object to be captured, respectively, for the three environmental parameters, and the detection result can be fed back to the processing unit 20 for the processing unit 20 to refer to application.
For simplicity of description, in the following examples, only light intensity and vibration values with a large influence on image quality are selected as influence factors to introduce the working method of the face recognition verification terminal.
Firstly, a storage unit 40 is provided, and a personnel information database is provided in the storage unit 40 for recording a plurality of targeted face information.
The photographing unit 30 photographs an image of a designated area in response to the photographing button 10 being pressed, and at the same time, the light intensity sensor 51 collects a light intensity value Es of the photographing area at the photographing time, and the vibration sensor 52 collects a vibration value D of the photographing unit 30 at the photographing time f 。
Based on the light intensity value Es, the formula is passed
Calculating ambient light influencing factor S 1 Wherein E is 0 To achieve the best shooting effect.
Based on the vibration value Df, through formula S 2 ＝D f Calculating vibration shadowResponse factor S 2 。
Based on the light intensity value Es and the vibration value D f By the formula
And calculating the comprehensive environmental impact factor S.
From the formula, the ambient light influence factor S 1 Representing the degree of deviation of the actual light intensity from the optimum light intensity value at the shooting time, the more the deviation, the worse the shooting effect of the imaging unit 30; s is S 2 ＝D f Vibration influencing factor S 2 The vibration value itself is chosen because the vibration value D is either theoretical or practical f The shooting effect is best when the vibration value is 0, and the vibration value D f The larger the imaging unit 30, the worse the imaging effect.
The invention sets two thresholds, a first set threshold and a second set threshold, and provides the following: when ambient light influences factor S 1 Greater than a first set threshold, or vibration influencing factor S 2 When the image is larger than the second set threshold, the external environment parameters of the current shooting are judged to be not in accordance with the requirements, the quality of the shot image is poor, the image is not adopted, and a warning signal is generated to remind a user of correcting the environment parameters as soon as possible.
In this case there is another situation, i.e. although the ambient light influencing factor S 1 And vibration influencing factor S 2 The two influence factors are larger in value, and the quality of the shot image is still poor under the combined action of the two influence factors, so that the setting of the comprehensive environment influence factor S and the third set threshold value is provided, and the comprehensive environment influence factor S is based on the environment light influence factor S 1 And vibration influencing factor S 2 To obtain even the ambient light influencing factor S 1 And vibration influencing factor S 2 The processing unit 20 still determines that the external environmental parameter does not meet the requirement, the quality of the photographed image is poor, the photographed image is not adopted, and a warning signal is generated.
The aforementioned ambient light influencing factor S 1 Vibration influencing factor S 2 Integrated ringWhen the environmental impact factors S meet the requirements, the processing unit 20 determines that the external environmental parameters meet the requirements, at this time, the image captured by the image capturing unit 30 is stored in the storage unit 40, and face recognition software is called to identify face information from the image, and the identified face information is compared with the face information in the person information database to generate a comparison result, that is, whether the captured object exists in the person information database, and/or who in the person information database, and so on.
The distance parameters are the same, the distance parameters can be collected through the distance sensor, whether the collected distance parameters accord with the set distance threshold value or not is firstly analyzed and judged, if the collected distance parameters do not accord with the set distance threshold value, a warning signal is generated, if the collected distance parameters accord with the set distance threshold value, the light intensity and the vibration value are combined for analysis, and more environmental parameter collection and analysis methods can be introduced, and are not repeated here.
By the working method, the accuracy of the face recognition verification terminal can be improved from another angle by analyzing the external environment parameters at the shooting moment to determine that the shot image can be adopted.
In addition, the face recognition verification terminal of the present invention further includes a display unit 80, the display unit 80 is electrically connected to the processing unit 20, the processing unit 20 responds to the alarm signal, and the generation reason of the alarm signal is notified to the user through the display unit, where the generation reason of the alarm signal includes: 1) Ambient light influencing factor S 1 Greater than a first set threshold, 2) a vibration influencing factor S 2 And 3) the comprehensive environmental impact factor S is larger than a third set threshold value, so that a user can be helped to quickly determine which environmental parameters are not in accordance with the requirements, and the environmental parameters are corrected in a targeted manner.
The display unit 80 is also used to display the comparison results for viewing by the user.
The display unit 80 may be the same as the display screen of the camera unit 30, or may be separately provided, so as to display the working condition of the face recognition terminal and the environmental parameters of the shooting area at any time.
Further, when the comparison is successful, in order to prompt the user, the face recognition verification terminal further has a voice prompt unit 70, the voice prompt unit 70 is electrically connected with the processing unit 20, the processing unit 20 is configured to generate a prompt signal in response to the received captured image and the personnel information data in the personnel information database being successfully compared, and the voice prompt unit 70 is configured to issue a voice prompt in response to the prompt signal.
The voice prompt unit 70 may also issue a corresponding voice prompt to prompt the user when the external environment is not satisfactory, prompt the user which environmental parameters are not satisfactory, and/or whether photographing is completed.
The present invention also mentions some ways to adjust environmental parameters.
The most rapid method for improving the light intensity is not limited to light source adjustment, in this application, the face recognition verification terminal further has a light intensity compensation unit 60, and the light intensity compensation unit 60 includes a plurality of light sources distributed and arranged, preferably, the light sources are light intensity adjustable.
Optionally, the light sources are correspondingly arranged on a rotatable base one by one, so that the change of the irradiation angle of the light sources is realized, and the adjustment precision of the environmental light intensity is further increased.
The switching on and off of the light source and the adjustment of the light intensity have two modes, one is manual operation by a user and the other is automatic operation by the processing unit 20.
In practical operation, the automatic operation of the processing unit 20 is more humanized, the processing unit 20 receives the light intensity parameter in the designated area fed back by the light intensity sensor 51, compares the light intensity parameter with a preset allowable light intensity range, wherein the allowable light intensity range is a light intensity range capable of shooting high-quality images, and if the light intensity parameter in the designated area exceeds the allowable light intensity range, the light intensity is unsuitable for shooting at the moment, and the illumination environment needs to be improved.
The processing unit 20 turns off or on a part of the light source, adjusts the light source intensity, the irradiation direction, etc. according to the comparison result until the detection result fed back by the light intensity sensor 51 falls within the allowable light intensity range or approaches the optimum light intensity value.
As for the vibration value, in order to reduce the shake caused by human factors, the image capturing unit 30 is fixed on a supporting frame, and the shake caused by the external environment, such as the shake of the supporting frame, is more difficult to process, the adjustment is usually performed by a software method, the slight shake is improved by simple image processing software, and when the shake amplitude is large, the simple image processing software becomes unable to process.
It is empirically known that the vibration value of the camera unit 30 is not generally a constant, and it is variable over time, for which purpose we can set a pre-shooting command.
After the processing unit 20 generates the pre-shooting instruction, an instruction is sent to the vibration sensor 52, the vibration sensor 52 starts to collect the vibration value of the image capturing unit 30, if the vibration value of the image capturing unit 30 exceeds the preset allowable vibration range at this time, the processing unit 20 will not perform shooting actions, continue to monitor the vibration value of the image capturing unit 30 until the vibration value of the image capturing unit 30 is within the allowable vibration range at a certain moment or within a certain time period, and the light intensity at this time also meets the requirement, a shooting instruction is generated, and the image capturing unit is controlled to start shooting images.
Here, the detection of the vibration value is placed after the generation of the pre-shooting instruction because if there is no shooting demand, it is unnecessary to detect the vibration value of the image capturing unit 30, and the image capturing unit 30 is inevitably moved during use, and there is no practical meaning after the detection of the vibration value when there is no shooting demand.
The detection of the light intensity can be put after the generation of the pre-shooting command, but the adjustment of the light intensity has the specificity, and supposing that if the shooting frequency is high and the light intensity at the moment is not satisfactory, the light source is turned on and off once every time the shooting command is generated, and the damage to the light source and human eyes is great, so that the adjustment of the light intensity can be set after the face recognition verification terminal starts working, and only about the generation of the shooting command, the proper light intensity is one of the necessary conditions.
As for the distance between the image capturing unit 30 and the subject, this can be achieved in various ways, for example, by mounting the image capturing unit 30 on a rail, or by mounting the image capturing unit 30 on a telescopic bracket 72. The processing unit 20 receives the detection result fed back by the distance sensor 53, and after comparing, it finds that the detection result exceeds the allowable distance range, and generates a control instruction for adjusting the distance.
The face recognition verification terminal is further provided with a motor 71, taking the telescopic bracket 72 as an example, the motor 71 is connected with the telescopic bracket 72 and is electrically connected with the processing unit 20, and the motor 71 drives the telescopic bracket 72 to stretch and retract according to a control instruction of adjusting the distance generated by the processing unit 20, so that the distance between the image capturing unit 30 and the image capturing object is adjusted.
The members in the personnel information database are set according to actual requirements, for example, in a certain case, the successfully-compared personnel are allowed to pass through the gate, and then the members in the personnel information database are the personnel list allowed to pass through the gate.
However, there is another situation that the successfully-compared person belongs to the blacklist member, and when the comparison is successful, preferably, the processing unit 20 will generate an alarm signal to drive an alarm unit to send an alarm, and send the alarm information to the mobile phone or the display screen of the monitoring person, so as to remind the monitoring person to process the situation in time.
The capacity of the storage unit 40 is limited after all, and the information is updated continuously, and in addition, if the face recognition terminal is not hand-held, the setting of parameters can be more conveniently realized through other terminals.
For this reason, the present application proposes that a network communication interface is set in the face recognition verification terminal, and the network communication interface is connected with the processing unit 20, so as to access the face recognition terminal to the network, so as to realize the data communication between the face recognition terminal and other terminals or cloud servers.
Therefore, the invention provides the face recognition verification terminal and the working method thereof, which can adapt to different application scenes, judge whether the external environment factors of the face recognition verification terminal meet the set requirements when shooting images, if the external environment factors meet the requirements, the face recognition verification terminal is directly adopted, and if the external environment factors do not meet the requirements, the user is prompted to revise as soon as possible so as to improve the quality of the images shot by the face recognition verification terminal.
While the invention has been described with reference to preferred embodiments, it is not intended to be limiting. Those skilled in the art will appreciate that various modifications and adaptations can be made without departing from the spirit and scope of the present invention. Accordingly, the scope of the invention is defined by the appended claims.
Claims (10)
1. A method of operating a face recognition verification terminal adaptable to different application scenarios, the face recognition verification terminal having a camera unit (30), comprising:
providing a storage unit (40), wherein the storage unit (40) is provided with a personnel information database for recording a plurality of face information;
acquiring a light intensity value Es of a photographing region at this time in response to a photographing action from the photographing unit (30);
in response to a photographing operation from the photographing unit (30), a vibration value D of the photographing unit (30) at the moment is acquired f ；
Based on the light intensity value Es, the formula is passed
Calculating ambient light influencing factor S 1 Wherein E is 0 A light intensity value for enabling the shooting effect to reach the optimum;
based on the vibration value D f Through formula S 2 ＝D f Calculating vibration influencing factor S 2 ；
Based on the light intensity value Es and the vibration value D f By the formula
Calculating a comprehensive environmental impact factor S;
in response to any one of three conditions: 1) The ambient light influencing factor S 1 Greater than a first set threshold value, 2) the vibration influencing factor S 2 Greater than a second set threshold, 3) the integrated environmental impact factor S is greater than a firstSetting a threshold value and generating an alarm signal; otherwise the first set of parameters is selected,
the image of the appointed shooting area shot by the shooting unit (30) is stored in the storage unit (40), the face information is identified from the image, and the identified face information is compared with the face information in the personnel information database to generate a comparison result.
2. The working method of the face recognition verification terminal capable of adapting to different application scenes according to claim 1, comprising the following steps:
providing a display unit (80);
in response to the warning signal, informing a user of the generation reason of the warning signal through a display unit (80);
the generation reasons of the warning signal comprise: 1) The ambient light influencing factor S 1 Greater than a first set threshold value, 2) the vibration influencing factor S 2 Greater than a second set threshold, 3) the integrated environmental impact factor S is greater than a third set threshold.
3. The method according to claim 2, wherein the display unit (80) is further configured to display the comparison result.
4. The face recognition verification terminal capable of adapting to different application scenes is characterized by comprising a shooting key (10), a shooting unit (30), an environment parameter acquisition unit (50), a storage unit (40) and a processing unit (20);
the storage unit (40) stores a personnel information database in which a plurality of face information are recorded;
the processing unit (20) is electrically connected with the shooting key (10), and the processing unit (20) is used for generating a shooting instruction in response to the pressing of the shooting key;
the image pickup unit (30) is electrically connected with the processing unit (20) and is configured to pick up an image of a designated shooting area according to a shooting instruction generated by the processing unit (20);
the environment parameter acquisition unit (50) comprises a light intensity sensor (51) and a vibration sensor (52);
the light intensity sensor (51) is electrically connected with the processing unit (20) and is used for responding to a shooting instruction, detecting a light intensity value Es in the appointed area and feeding back a detection result to the processing unit (20);
the vibration sensor (52) is electrically connected with the processing unit (20) and is configured to detect the vibration value D of the imaging unit (30) in response to the imaging instruction f And feeding back the detection result to the processing unit (20);
the processing unit receives detection results fed back by the light intensity sensor (51) and the vibration sensor (52) and calculates environment light influence factors S respectively 1 Vibration influencing factor S 2 Comprehensive environmental impact factor S;
the processing unit is responsive to any one of three conditions: 1) The ambient light influencing factor S 1 Greater than a first set threshold value, 2) the vibration influencing factor S 2 Is larger than a second set threshold value, 3) the comprehensive environmental impact factor S is larger than a third set threshold value, and an alarm signal is generated; otherwise the first set of parameters is selected,
storing the image of the appointed shooting area shot by the shooting unit (30) into a storage unit (40), identifying face information from the image, and comparing the identified face information with face information in a personnel information database to generate a comparison result;
wherein, based on the light intensity value Es, the formula is passed
Calculating ambient light influencing factor S 1 Wherein E is 0 A light intensity value for enabling the shooting effect to reach the optimum;
based on the vibration value D f Through formula S 2 ＝D f Calculating vibration influencing factor S 2 ；
Based on the light intensity value Es and the vibration value D f By the formula
And calculating the comprehensive environmental impact factor S.
5. The face recognition verification terminal capable of adapting to different application scenarios according to claim 4, wherein the face recognition verification terminal is further provided with a light intensity compensation unit (60), and the light intensity compensation unit (60) comprises a plurality of light sources which are distributed and arranged;
the processing unit (20) is electrically connected to the light intensity compensation unit (60) and is responsive to the ambient light influencing factor S 1 Above a first set threshold, part of the light sources are turned on and/or off.
6. The face recognition verification terminal capable of adapting to different application scenarios according to claim 5, wherein the light source is arranged with adjustable light intensity.
7. The face recognition verification terminal of claim 5, wherein the light source is disposed on a rotatable base.
8. The face recognition verification terminal capable of adapting to different application scenarios according to claim 4, further comprising a network communication interface, wherein the network communication interface is connected to the processing unit (20) for accessing the processing unit (20) to a network.
9. The face recognition verification terminal capable of adapting to different application scenarios according to claim 4, wherein the face recognition verification terminal is provided with a display unit (80), and the display unit (80) is electrically connected with the processing unit (20) and is used for displaying the generation reason and/or comparison result of the warning signal.
10. The face recognition verification terminal capable of adapting to different application scenarios according to claim 4, wherein the face recognition verification terminal further comprises a voice prompt unit (70), and the voice prompt unit (70) is electrically connected with the processing unit (20);
the processing unit (20) is configured to generate a prompt signal in response to successful comparison of the received photographed image and the personnel information data in the personnel information database;
the voice prompt unit (70) is arranged to issue a voice prompt in response to a prompt signal.
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| CN109492523A (en) * | 2018-09-17 | 2019-03-19 | 深圳壹账通智能科技有限公司 | Face identification system performance test methods, device, equipment and storage medium |
| CN111049983B (en) * | 2019-12-13 | 2024-02-27 | 上海传英信息技术有限公司 | Terminal control method, terminal and computer readable storage medium |
| CN112417184B (en) * | 2020-11-23 | 2021-05-25 | 上海点泽智能科技有限公司 | Multi-scene characteristic information storage structure and comparison method, equipment and storage medium thereof |
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