CN208156682U - Biological identification device with sensing image sound - Google Patents
Biological identification device with sensing image sound Download PDFInfo
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- CN208156682U CN208156682U CN201820128243.7U CN201820128243U CN208156682U CN 208156682 U CN208156682 U CN 208156682U CN 201820128243 U CN201820128243 U CN 201820128243U CN 208156682 U CN208156682 U CN 208156682U
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Abstract
The utility model relates to a kind of biological identification device with sensing image sound, host groups are set to the top of a pedestal and an acoustic control lens sensors, and wherein the host includes:One infrared image module, a chromatic image sensing module, at least a microphone module, a range sensor, a central processing unit, a signal recognition unit and a signal transmission unit;And the host is electrically connected at a database and a display in a wired or wireless fashion.
Description
Technical field
The utility model relates to a kind of biological identification device with sensing image sound, it is espespecially a kind of by more camera lenses,
Multi-microphone component and by image of face and acoustic information confluence analysis, to improve the identification accuracy of human body physiological characteristics.
Background technique
In recent years, due to the progress of science and technology, various electronic products are constantly weeded out the old and bring forth the new, and as personal data protect day
Above important and security monitoring or the access control system of becoming using more more and more universal, related technical personnel continually develop new identification
Device further utilizes biological identification (Biometric) technology, to improve the correct reliability of general safety monitoring.Face is distinguished
Knowledge technology is then that the feature and face of face are captured by video camera, confirms using algorithm, i.e., judges from complex background
The technology of particular persons face out also has become one of the mainstream technology of status identification at present.And in biological identification technology, most
It is often used identification of fingerprint, but fingerprint is very easy to be replicated and remained the problem of congenital fingerprint can not recognize, and causes reality
Using upper degree of difficulty and its implementation rate is influenced, in addition, traditional face recognition technology mainly utilizes the face of visible image
Identification, but when ambient lighting changes, recognition effect and accuracy can be bad, are unable to satisfy the need of identification system
It wants, therefore how to improve human face recognition accuracy, and how to integrate human body physiological characteristics and analysed and compared then as related skill
The target that art personnel primarily improve.
Utility model content
To overcome disadvantages mentioned above, the utility model provides a kind of biological identification device with sensing image sound, master
Human body physiological characteristics signal is transmitted to the further confluence analysis of central processing unit by more camera lenses, multi-microphone component, by
This improves the identification accuracy of human body physiological characteristics.
One host groups are set to a pedestal and one by the biological identification device with sensing image sound of the utility model
The top of acoustic control lens sensors, wherein the host include:One infrared image module, a chromatic image sensing module, at least
One microphone module, a range sensor, a central processing unit, a signal recognition unit and a signal transmission unit;Wherein,
The infrared image module is electrically connected by one first signal processing unit and the central processing unit, and this first
The feature value parameter of signal processing unit analysis infrared image;
The chromatic image sensing module is electrically connected by a second signal processing unit and the central processing unit, and this
The analog signal of chromatic image pixel is converted into digital signal by binary signal processing unit, and then analyzes the feature of its chromatic image
Value parameter;
The microphone module is electrically connected by an analog/digital converter and the central processing unit, and then analyzes its sound
The feature value parameter of line signal;
The range sensor calculates measurement unit by one and the central processing unit is electrically connected, and then calculates its distance
Numerical value;
The central processing unit is electrically connected at the signal recognition unit and the signal transmission unit, central processing unit integration
Analyze infrared image, chromatic image and voice signal feature value parameter, and in the signal recognition unit with a database
The information search of interior storage recognizes, and the signal transmission unit is electrically connected at the database, to improve human body physiological characteristics
Recognize accuracy.
Preferably, the range sensor emits infrared ray by infrared LEDs, by red after being reflected by user's face
Outer line detector receives, and thus judgement receives the intensity of infrared ray to judge distance.
Preferably, the pedestal belongs to hanging construction, can hang on computer screen periphery or desktop.
Preferably, the acoustic control lens sensors are electrically connected at the microphone module, pass through the sound of induction spokesman
Sound and the direction for automatically controlling tracking camera lens, i.e. microphone interface connect with the interface of infrared image, chromatic image camera lens
Control, therefore can be with the lens direction of sound automatic tracing sounder.
Preferably, the central processing unit is electrically connected to a display, therefore can be by the biological identification of sensing as the result is shown
In computer screen.
Preferably, the signal transmission unit is bluetooth (Bluetooth) transmitter of radio-type or has the general of line style
Serial bus USB transmitter, the storage information for being thus able to transmit the database are recognized for search comparison, and construction complete bio is distinguished
The function of knowledge system.
The utility model be mainly able to by more camera lenses, multi-microphone component by the three-dimensional depth information of user face and
Sound characteristic value parameter is transmitted to the further confluence analysis of the central processing unit, and the identification for thus improving human body physiological characteristics is accurate
Degree.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the biological identification device of the utility model.
Fig. 2 is the identification flow chart of the biological identification device of the utility model.
Fig. 3 is the system square construction drawing of the biological identification device of the utility model.
Appended drawing reference
10... host
11... acoustic control lens sensors
12... pedestal
101... infrared image module
1011... the first signal processing unit
102... chromatic image sensing module
1021... second signal processing unit
103... microphone module
1031... analog/digital converter
104... range sensor
1041... calculating measurement unit
105... central processing unit
106... signal recognition unit
107... signal transmission unit
108... loudspeaker
20... database
30... display
Specific embodiment
Below with specific embodiment, and assistant is elaborated with legend, in order to have to the technical characteristics of the utility model
It is further to understand.
It please refers to Fig.1 to Fig.3, the utility model relates to a kind of biological identification devices with sensing image sound, will
One host 10 is mounted on the top of a pedestal 12 and an acoustic control lens sensors 11, and wherein the host 10 includes:One infrared ray shadow
As module 101, a chromatic image sensing module 102, an at least microphone module 103, a range sensor 104, a centre
Manage device 105, a signal recognition unit 106 and a signal transmission unit 107;And the host 10 electrically connects in a wired or wireless fashion
It is connected to a database 20 and a display 30, thus the function of the complete Biometrics process of construction.
About the primary structure of the host 10, wherein the infrared image module 101 passes through one first signal processing unit
1011 with the central processing unit 105 be electrically connected, the infrared image module 101 its using infrared light image sensor to capture
The infrared image signal (infrared wavelength range is 770nm~4000nm) of user's face, then via first signal processing
Unit 1011 is to analyze the feature value parameter of its infrared image, i.e., it starts the dot matrix projector (Dot projector) and generates
Multiple luminous points project the face of user, are formed by array using these luminous points and are reflected back infrared light camera (Infrared
Camera), and then analysis meter calculates the depth distance signal of user face different location, is then able to the vertical of user face
Body depth information is transmitted to the further confluence analysis of central processing unit 105, calculates via the storage information with the database 20
Face feature is compared to recognize whether as user.
Wherein, which passes through a second signal processing unit 1021 and the central processing unit 105
Be electrically connected, the chromatic image sensing module 102 using image sensor with the planar coloured video signal of extract user face,
The array that the image sensor is made of various grid (pixel), each pixel contain a Charged Coupled Device
(CCD) with optical sensor (PD), the second signal processing unit 1021 is by the electronic simulation of each pixel in image sensor
Signal is converted into digital signal, that is, the analog-digital converter (Analog to Digital Converter) of image, into
And the feature value parameter of its chromatic image is analyzed, it is then able to the chromatic image information of user face being transmitted to the centre
Manage the further confluence analysis of device 105, via the storage information search with the database 20 compare face feature recognize whether for
Family.
Wherein, which is electrically connected by an analog/digital converter 1031 and the central processing unit 105
Connect, the microphone module 103 using the sound wave transmitting form of sound to capture the vocal print signal of user, using as speech recognition
It is used, most important purpose is desirable to computer and understands mankind's one's voice in speech, and then order computer executes corresponding work
Make, which passes through piezoelectricity switch technology for the sound wave analog signal (Analog signal) of user,
The amplitude of sound wave can be switched into corresponding voltage signal, and then analyze the feature value parameter of its vocal print signal, be then able to
The information of acoustic wave of user is transmitted to the further confluence analysis of central processing unit 105, i.e. information of acoustic wave numerically stores
Afterwards, it is compared via the sample sound that speech recognition program starts stored in advance with the sensing sample sound of input
Work, therefore acoustic characteristic can be compared via the storage information search with the database 20 and recognized whether as user.
Wherein, which calculates measurement unit 1041 by one and the central processing unit 105 is electrically connected,
The range sensor 104 emits infrared ray by infrared LEDs, is connect after being reflected by user's face by pyroscan
By thus judgement receives the intensity of infrared ray to judge distance, i.e. the calculating measurement unit 1041 is a group for measuring distance
Part vibrates the sensing wavelength of light source using infrared ray, goes calculation amount by the light wave of energy variation after infrared reflection
The distance of survey is then able to for the measurement range information of user to be transmitted to the central processing unit 105 progress confluence analysis, thus, it is possible to
It integrates human body physiological characteristics and improves identification accuracy.
It is to be electrically connected at the signal recognition unit 106 and the signal transmission unit 107 about the central processing unit 105,
The wherein feature value parameter of the 105 confluence analysis infrared image of central processing unit, chromatic image and voice signal, and in the letter
Scan for comparing identification with the storage information with the database 20 in number identification unit 106, i.e., its using signal transmission singly
Member 107 is to be electrically connected at the database 20, and then the signal transmission unit 107 can be the bluetooth (Bluetooth) of radio-type
Transmitter or the general-purpose serial bus USB transmitter for having line style, are thus able to transmission and the storage information of the database 20 carries out
Search comparison recognizes, thus the function of the complete Biometrics of construction, in addition, the central processing unit 105 is electrically connected to this
Display 30, therefore can be by the biological identification of sensing as the result is shown in computer screen, separately in a loudspeaker can be installed on the host 10
(speaker) 108, sound warning effect is provided with this.
A kind of biological identification device with sensing image sound of the utility model is equipped with one in the 10 bottom surface group of host
Acoustic control lens sensors 11, and it is equipped with a pedestal 12 in the bottom surface group of the acoustic control lens sensors 11, and belong to can for the pedestal 12
Hanging construction can be hung on computer screen periphery or desktop, and wherein the acoustic control lens sensors 11 are electrically connected at this
Microphone module 103 can automatically control the direction of tracking camera lens, the utility model design by incuding the sound of spokesman
Mode be exactly that the interface of microphone interface and infrared image, chromatic image camera lens is done into connection control, when microphone radio reception
When can manipulate camera lens via the acoustic control lens sensors 11 and be moved to the direction position of spokesman, therefore can with sound and
The lens direction of face recognition and automatic tracing sounder, to improve the identification accuracy of human body physiological characteristics.
Latent structure and specific effect in relation to the utility model, then only explain the main points briefly as follows:The master of the utility model
Machine 10 is mounted on the top of a pedestal 12 and an acoustic control lens sensors 11, and wherein the host 10 includes:One infrared image mould
Block 101, a chromatic image sensing module 102, an at least microphone module 103, a range sensor 104, a central processing unit
105, a signal recognition unit 106 and a signal transmission unit 107;And the host 10 is electrically connected in a wired or wireless fashion
One database 20 and a display 30, the utility model are mainly the biological identification device of sensing image and voice signal, master
It to be able to for the three-dimensional depth information of user face and sound characteristic value parameter being transmitted to by more camera lenses, multi-microphone component
The further confluence analysis of central processing unit 105 recognizes physiological characteristic via the storage information calculating ratio with the database 20
It whether is user, to improve the identification accuracy of human body physiological characteristics.
In conclusion the sensing image of the utility model and the biological identification device of voice signal, by being described in detail above,
Those skilled in the art can make various modifications to the utility model or wait in the essence and protection scope of the utility model
Same replacement, this modification or equivalent replacement also should be regarded as falling within the protection scope of the present utility model.Therefore the utility model
Protection scope is when being subject to the range that claims are defined.
Claims (6)
1. a kind of biological identification device with sensing image sound, which is characterized in that a host groups are set to a pedestal and one
The top of acoustic control lens sensors, wherein the host include:One infrared image module, a chromatic image sensing module, at least
One microphone module, a range sensor, a central processing unit, a signal recognition unit and a signal transmission unit;Wherein,
The infrared image module is electrically connected by one first signal processing unit and the central processing unit, and first signal
The feature value parameter of processing unit analysis infrared image;
The chromatic image sensing module is electrically connected by a second signal processing unit and the central processing unit, and second letter
The analog signal of chromatic image pixel is converted into digital signal by number processing unit, and then analyzes the characteristic value ginseng of its chromatic image
Number;
The microphone module is electrically connected by an analog/digital converter and the central processing unit, and then analyzes its vocal print letter
Number feature value parameter;
The range sensor calculates measurement unit by one and the central processing unit is electrically connected, and then calculates the number of its distance
Value;
The central processing unit is electrically connected at the signal recognition unit and the signal transmission unit, the central processing unit confluence analysis
The feature value parameter of infrared image, chromatic image and voice signal, and in the signal recognition unit with stored up in a database
The information search identification deposited, and the signal transmission unit is electrically connected at the database, thus improves distinguishing for human body physiological characteristics
Know accuracy.
2. the biological identification device according to claim 1 with sensing image sound, which is characterized in that the Distance-sensing
Device emits infrared ray by infrared LEDs, is received after being reflected by user's face by pyroscan, thus judgement receives
Distance is judged to the intensity of infrared ray.
3. the biological identification device according to claim 1 with sensing image sound, which is characterized in that the pedestal belongs to
Hanging construction, can hang on computer screen periphery or desktop.
4. the biological identification device according to claim 1 with sensing image sound, which is characterized in that the acoustic control camera lens
Sensor is electrically connected at the microphone module, and the sound by incuding spokesman automatically controls the direction of tracking camera lens,
That is the interface of microphone interface and infrared image, chromatic image camera lens does connection control, therefore can be sent out with sound automatic tracing
The lens direction of sound person.
5. the biological identification device according to claim 1 with sensing image sound, which is characterized in that the central processing
Device is electrically connected to a display, therefore can be by the biological identification of sensing as the result is shown in computer screen.
6. the biological identification device according to claim 1 with sensing image sound, which is characterized in that signal transmission
Unit is the Bluetooth transmission device of radio-type or the general-purpose serial bus USB transmitter for having line style, is thus able to transmit the database
Storage information for search comparison recognize, the function of the complete Biometrics of construction.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112822252A (en) * | 2020-12-31 | 2021-05-18 | 无锡顾得门业有限公司 | Internet of things intelligent industrial door control method based on biological feature recognition |
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2018
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112822252A (en) * | 2020-12-31 | 2021-05-18 | 无锡顾得门业有限公司 | Internet of things intelligent industrial door control method based on biological feature recognition |
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