CN202210263U - Face recognition device - Google Patents
Face recognition device Download PDFInfo
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- CN202210263U CN202210263U CN2011202279938U CN201120227993U CN202210263U CN 202210263 U CN202210263 U CN 202210263U CN 2011202279938 U CN2011202279938 U CN 2011202279938U CN 201120227993 U CN201120227993 U CN 201120227993U CN 202210263 U CN202210263 U CN 202210263U
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- 230000001815 facial effect Effects 0.000 claims description 55
- 230000006698 induction Effects 0.000 claims description 28
- 230000005059 dormancy Effects 0.000 claims description 12
- 238000001514 detection method Methods 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 4
- 230000035807 sensation Effects 0.000 claims description 3
- 230000032683 aging Effects 0.000 abstract description 7
- 238000013459 approach Methods 0.000 abstract description 4
- 230000007958 sleep Effects 0.000 abstract description 4
- 238000000034 method Methods 0.000 description 5
- 238000005265 energy consumption Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 1
- 210000001503 joint Anatomy 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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Abstract
The embodiment of the utility model provides a face identification equipment belongs to face identification technical field. The utility model discloses face identification equipment, include: the approach sensing module is used for detecting whether a face approaches the face recognition equipment or not; a camera module which shoots a face image of the proximity face recognition device; the display screen is used for displaying the face image shot by the camera module and the recognition result of the face image; and the main processor controls the camera module and the display screen to work when the proximity sensing module detects that a human face approaches the human face recognition device, otherwise controls the camera module and the display screen to sleep or power off. The utility model discloses face identification equipment through the proximity sensor module, makes face identification equipment only be in operating condition when detecting the face and be close, otherwise is in dormant state to save the electric energy, delay equipment ageing.
Description
Technical field
The utility model belongs to the face recognition technology field, is specifically related to a kind of recognition of face equipment.
Background technology
As the outstanding representative of contactless pattern-recognition product, recognition of face equipment has obtained liking of more and more clients.Recognition of face equipment generally includes camera that obtains facial image and the display screen that is used for the information demonstration, and camera is used to obtain facial image, and display screen is usually used in adjusting the position of people's face, with the facial image that obtains to meet the demands.Obtain facial image through camera; Utilize series of algorithms to extract the unique point of the facial image that obtains; Compare one by one with the unique point that is kept at identification equipment facial image inner, typing in advance then; With the facial image of the corresponding to typing in advance of unique point of the facial image that finds and get access to, the identity informations such as name of the facial image that will discern then come out through loudspeaker plays or show through display screen.
Existing recognition of face equipment is usually in running order always until shutting down or cutting off the electricity supply after start.But the user is not all the time can end user's face identification equipment, and many times recognition of face equipment is in the unmanned idle state that uses; But recognition of face equipment is in open state always; Like this, the display screen of high power consumption, the first-class device of shooting all are in user mode, undoubtedly; This has not only caused waste of energy, and has accelerated the aging of device in the equipment.
The utility model content
In order to solve the problems of the technologies described above, the utility model provides a kind of recognition of face equipment.
The recognition of face equipment of the utility model comprises:
Near induction module, whether its detection has people's face near recognition of face equipment;
Camera module, it takes said facial image near recognition of face equipment;
Display screen, it shows facial image that said camera module is taken and to the recognition result of this facial image; And
Mainboard module; It comprises primary processor; Said primary processor is said when having detected people's face near recognition of face equipment near induction module; Control that said camera module and said display screen are waken up or the entering duty that powers on that resets, otherwise control said camera module and said display screen dormancy or outage.
The recognition of face equipment of the utility model, through the proximity transducer module, make recognition of face equipment only detected people's face near the time just wake each working cell up and get into duty, otherwise be in dormant state, thereby save electric energy, delay ageing equipment.
Description of drawings
Fig. 1 is the structured flowchart of an embodiment of the recognition of face equipment of the utility model.
Fig. 2 is the structured flowchart of an example of recognition of face equipment in the embodiment of the utility model.
Fig. 3 is the process flow diagram of an embodiment of control method of the recognition of face equipment of the utility model.
Embodiment
Below, be described with reference to the accompanying drawings the embodiment of the utility model.
Fig. 1 is the structured flowchart of an embodiment of the recognition of face equipment of the utility model.
As shown in Figure 1, the recognition of face equipment of this embodiment comprises near induction module 400, camera module 300, display screen 100 and mainboard module 200.Near the people face of induction module 400 inductions near recognition of face equipment.The facial image that camera module 300 is taken near recognition of face equipment.Display screen 100 information of carrying out shows, comprises showing facial image that camera module is taken and to the recognition result of this facial image.Mainboard module 200 comprises primary processor 201; Primary processor 201 is when having detected people's face near recognition of face equipment near induction module 400; Control camera module 300 is waken up or the entering duty that powers on that resets with display screen 100, otherwise control camera module 300 and display screen 100 dormancy or outage.The concrete realization as follows: be used to respond to people's face near induction module 400, approach the working range of the camera module 300 of recognition of face equipment near the induction range of induction module 400 near recognition of face equipment.As the people during near recognition of face equipment; Near the people face of induction module 400 detections near recognition of face equipment; And induced signal is sent to mainboard module 200; After primary processor 201 in the mainboard module 200 received induced signal, control camera module 300 was waken up or electrification reset with display screen 100, made it get into duty.When continuous a period of time does not detect the people's face near recognition of face equipment near induction module 400, primary processor 201 control camera modules 300 and display screen 100 dormancy or outages.This time period can be set arbitrarily, as is set at 10 minutes or 5 minutes etc.
Like this, have only when detecting people's face near recognition of face equipment, big camera module of power consumption 300 and display screen 100 are waken up or electrification reset entering duty near induction module 400; When people's face of not detecting near recognition of face equipment, camera module 300 and display screen 100 dormancy or outage.Therefore, can significantly reduce the energy consumption of recognition of face equipment, and delay the aging of camera module 300 and display screen 100.
Fig. 2 is the structured flowchart of an example of recognition of face equipment in the embodiment of the utility model.
Preferably, as shown in Figure 2, comprise near induction pick-up 401 and at least one LED lamp 402 near induction module 400.When having detected people's face near recognition of face equipment, LED lamp 402 emission light pulses are shone by the light pulse of LED lamp 402 emissions and this light pulse are reflected near people's face of recognition of face equipment.Detect at people's face light to said light pulse reflection during near induction pick-up 401, thereby sense people's face near recognition of face equipment near recognition of face equipment.In this embodiment, LED lamp 402 is preferably the infrared LED lamp.
Preferably, as shown in Figure 2, camera module 300 comprises light sensation camera and driving circuit 301 and/or infrared camera and driving circuit 302 and infrared transmitting tube 303.The light sensation camera utilizes people's face of natural light butt joint person of modern times face identification equipment to take.Preferably, when camera module 300 comprised infrared camera and driving circuit 302 thereof with infrared transmitting tube 303, infrared transmitting tube 303 was used for outwards launching infrared light, and irradiation is near people's face of recognition of face equipment.The infrared light that the approaching people's face of infrared camera utilization reflects is taken approaching people's face.When camera module selects to use infrared camera and driving circuit 302 thereof with infrared transmitting tube 303; The LED lamp 402 of proximity transducer module 400 can omit, and proximity transducer module 400 can use the infrared transmitting tube 303 of camera module 300 to replace the LED lamp 402 of proximity transducer module 400.Certainly, circuit design for ease, the LED lamp 402 of proximity transducer module 400 also can keep.The wherein said facial image that photographs is presented on the display screen 100.
Preferably, as shown in Figure 2, recognition of face equipment also comprises sound module 500.Sound module 500 can specifically comprise loudspeaker (speaker) and driving circuit 501 thereof, is used to play the recognition result of facial image.When people's face of detecting near induction module 400 near recognition of face equipment; Primary processor 201 control sound modules 500 are waken up or electrification reset; Get into duty; Compare the back when extracting the highest facial image template of similarity when the face characteristic that prestores in facial image that primary processor 201 is taken through the said camera module that will handle 300 and the facial image template, and the corresponding identity information (like information such as names) that the facial image template that sound module 500 will have been discerned is registered is play as recognition result; Otherwise primary processor 201 control sound modules 500 quit work, and are in dormancy or off-position.Like this, have only when having detected people's face, sound module 500 is waken up or electrification reset entering duty near recognition of face equipment; Sound module 500 is not in dormancy or outage when detecting approaching people's face.Therefore, can reduce the energy consumption of recognition of face equipment, and delay the aging of sound module 500.
Preferably, as shown in Figure 2, mainboard module 200 also comprises storer 203, and storer 203 is stored a plurality of facial image templates and corresponding unique point and identity information in advance.
Preferably, as shown in Figure 2, mainboard module 200 also comprises coprocessor 202.Coprocessor 202 is after the facial image that 201 pairs of camera modules of primary processor 300 are taken is handled; Through with the facial image template in the face characteristic that prestores compare; The identity information that extracts in a plurality of facial image templates the facial image template registration the most close with the facial image of handling through primary processor 201 is as recognition result, notice primary processor 201 control display screen 100 show respectively with sound module 500 and play immediate facial image template registration the recognition result of all or part of identity information.Identity information comprises the facial image of preparatory registration and the corresponding personnel's of storage name, job number etc. in advance.
Fig. 3 is the process flow diagram of an embodiment of control method of the recognition of face equipment of the utility model.
As shown in Figure 3, the control method of above-mentioned recognition of face equipment comprises detection step S1, wake-up step or the rapid S2 of electrification reset and sleep step or outage step S3.In detecting step S1, detect near induction module 400 whether the people's face near recognition of face equipment is arranged.When detecting approaching people's face near induction module 400; Get into wake-up step or electrification reset step S2; Primary processor 201 control camera modules 300 are waken up with display screen 100 or electrification reset gets into duty; Camera module 300 is taken said facial image near recognition of face equipment, and display screen 100 shows facial image that said camera module is taken and to the recognition result of this facial image.When not detecting people's face near recognition of face equipment near induction module 400, get into sleep step or outage step S3, primary processor 201 control camera modules 300 and display screen 100 dormancy or outage quit work.
Like this, have only when having detected people's face, just wake the big camera module of power consumption 300 up and get into duty with display screen 100 near recognition of face equipment; When not detecting people's face near recognition of face equipment, camera module 300 and display screen 100 dormancy or outage.Therefore, can significantly reduce the energy consumption of recognition of face equipment, and delay the aging of camera module 300 and display screen 100.
Preferably, in detecting step S1, at least one outwards emission light pulse of LED lamp 402, near induction pick-up 401 inductions at people's face light to said light pulse reflection during near recognition of face equipment.
Perhaps, adopt the infrared transmitting tube 303 of camera module 300 to replace the people face of LED lamp 402 irradiations of proximity transducer module 400, to start near induction pick-up 401 near recognition of face equipment.
Preferably, in wake-up step or electrification reset step S2, sound module 500 is play the recognition result of facial image under the control of primary processor 201; In sleep step or outage step S3, sound module 500 gets into dormancy or outage under the control of primary processor 201.Like this, when only detecting people's face, just wake up or electrification reset sound module 500 makes its work near recognition of face equipment; When not detecting people's face near recognition of face equipment, sound module 500 dormancy or outage.Therefore, can reduce the energy consumption of recognition of face equipment, and delay the aging of sound module 500.
Preferably, also comprise facial image obtaining step and facial image identification step after the wake-up step.In the facial image obtaining step, obtain facial image by camera module 300 shootings.In the facial image identification step; Discern the unique point of handling the acquisition facial image by 201 pairs of facial images that obtain of primary processor; And with the facial image template in the face characteristic that prestores compare, the identity information that extracts the highest facial image template registration of similarity is as recognition result.Comparison and identity information for facial image in the facial image identification step extract also and can be accomplished by coprocessor 202.Wherein, the information that information that display screen 100 shows and sound module 500 are play is the recognition result to the facial image that obtains, all or part of identity information of the facial image template registration that the facial image similarity that is specially and obtains is the highest.Although specified the embodiment of the utility model, can not be interpreted as restriction to the utility model.On the contrary; Those skilled in the art need not pay variation that creative work just can draw above-mentioned embodiment and be equal to the replacement form, these variation be equal to the protection domain that the replacement form all meets the principle of the utility model and falls into the utility model.
Claims (5)
1. a recognition of face equipment is characterized in that, comprising:
Near induction module, whether its detection has people's face near recognition of face equipment;
Camera module, it takes said facial image near recognition of face equipment;
Display screen, it shows facial image that said camera module is taken and to the recognition result of this facial image; And
Mainboard module; It comprises primary processor; Said primary processor is said when having detected people's face near recognition of face equipment near induction module; Control that said camera module and said display screen are waken up or the entering duty that powers on that resets, otherwise control said camera module and said display screen dormancy or outage.
2. recognition of face equipment according to claim 1 is characterized in that, saidly comprises near induction module:
At least one LED lamp, it outwards launches light pulse; With
Near induction pick-up, its induction is at people's face light to said light pulse reflection during near recognition of face equipment.
3. recognition of face equipment according to claim 1 is characterized in that, said camera module comprises:
Light sensation camera and driving circuit thereof; And/or
Infrared transmitting tube, infrared camera and driving circuit thereof.
4. recognition of face equipment according to claim 1 is characterized in that, said recognition of face equipment also comprises:
Sound module is used to play the recognition result of facial image; It, is waken up or the entering duty that powers on that resets under the control of said primary processor when having detected people's face near recognition of face equipment near induction module said, otherwise gets into dormancy or off-position by said primary processor control.
5. recognition of face equipment according to claim 4 is characterized in that, said mainboard module also comprises:
Storer, it stores a plurality of facial image templates and corresponding identity information in advance;
Coprocessor; It is after the facial image that said primary processor is taken said camera module is handled; Compare with the face characteristic that prestores in the facial image template, the identity information that extracts the highest facial image template registration of similarity is as recognition result; Controlling said display screen and sound module by said primary processor shows respectively and plays said recognition result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011202279938U CN202210263U (en) | 2011-06-30 | 2011-06-30 | Face recognition device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011202279938U CN202210263U (en) | 2011-06-30 | 2011-06-30 | Face recognition device |
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| CN202210263U true CN202210263U (en) | 2012-05-02 |
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| CN2011202279938U Expired - Lifetime CN202210263U (en) | 2011-06-30 | 2011-06-30 | Face recognition device |
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| CN103729901A (en) * | 2012-10-12 | 2014-04-16 | 成都掌握移动信息技术有限公司 | Face recognition-based point-of-sale machine |
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