CN207369173U - A kind of intelligence control system of camera - Google Patents
A kind of intelligence control system of camera Download PDFInfo
- Publication number
- CN207369173U CN207369173U CN201721338116.1U CN201721338116U CN207369173U CN 207369173 U CN207369173 U CN 207369173U CN 201721338116 U CN201721338116 U CN 201721338116U CN 207369173 U CN207369173 U CN 207369173U
- Authority
- CN
- China
- Prior art keywords
- picture
- unit
- camera
- brightness
- real
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Abstract
It the utility model is related to camera field, and in particular to a kind of intelligence control system of camera, the intelligence control system include middle control unit, picture comparison unit and deep learning unit, picture comparison unit collection picture real-time parameter；By to conversation structure real-time parameter and picture parameter preset, forming picture comparing result and being sent to middle control unit, the input current that unit adjusts camera according to picture comparing result is controlled in this；The deep learning unit constantly obtains the picture of external environment condition, and forms picture sort module, which classifies picture, and the input current of camera or the input current without adjusting camera is adjusted according to picture classification.The utility model can be by scanning the two-dimensional code modification parameter preset, and carries study and correct function, can adapt to different scenes, realizes the detection in face and space.
Description
Technical field
It the utility model is related to camera field, and in particular to a kind of intelligence control system of camera.
Background technology
Camera is also known as camera computer, computer eye, electronic eyes etc., is a kind of video input apparatus, is widely used
In video conference, tele-medicine and real time monitoring etc..Common people can also be had each other by camera in network
Image, the talk for having sound and communication.In addition, people can also use it for current various popular digital images, audio-visual place
Reason.
In existing camera, the detection control mode of use be typically using the specific harness such as infrared, microwave and magnetic strength,
The induction mode of specific range is controlled, simply the sensing detection of a point, the not sensing in a face or a space
Detection.Also, the detection control mode is after Installation And Test is good, it is difficult to different scenes is changed and adapts to, such as grass, tree
The picture caused by natural cause such as leaf, rainy changes, or environmental change etc. caused by camera itself action.
Therefore, a kind of intelligence control system of camera is designed, by scanning the two-dimensional code modification parameter preset, and is carried
Function is corrected in study, be can adapt to different scenes, is realized the detection in face and space, is always that those skilled in the art's emphasis is ground
One of the problem of studying carefully.
Utility model content
The technical problems to be solved in the utility model is, for the drawbacks described above of the prior art, there is provided a kind of camera
Intelligence control system, solution carries study and corrects function, can adapt to different scenes, realize that the detection in face and space is asked
Topic.
To solve the technical problem, the utility model provides a kind of intelligence control system of camera, the intelligent control
System includes middle control unit, picture comparison unit, deep learning unit and feature extraction unit, control in this unit respectively with picture
Comparison unit is connected with deep learning unit, and this feature extraction unit connection picture comparison unit, the intelligence control system is led to
Cross the picture that camera obtains external environment condition；Wherein,
Feature extraction unit, this feature extraction unit extract feature by the picture of external environment condition, are converted into corresponding reality
When parameter；
Picture comparison unit, the picture comparison unit gather the picture real-time parameter in real-time parameter, also, the picture pair
Than the picture parameter preset that unit is stored with external environment condition；By to conversation structure real-time parameter and picture parameter preset, forming picture
Face comparing result is simultaneously sent to middle control unit, and the input current that unit adjusts camera according to picture comparing result is controlled in this；
Deep learning unit, which constantly obtains the picture of external environment condition, and forms picture sort module,
The picture sort module classifies picture, and according to picture classification be adjusted camera input current or without
Adjust the input current of camera.
Wherein, preferred version is：The intelligence control system further includes brightness contrast unit, brightness contrast unit difference
Unit and feature extraction unit are controlled in connection, which gathers the brightness real-time parameter in real-time parameter, also, should
Brightness contrast unit is stored with the brightness parameter preset of external environment condition；By to specific luminance real-time parameter and brightness parameter preset,
Form brightness contrast result and be sent to middle control unit, the input electricity that unit adjusts camera according to brightness contrast result is controlled in this
Stream.
Wherein, preferred version is：The surface of the camera is equipped with Quick Response Code, and the picture comparison unit is deposited including first
Module is stored up, exterior user terminal obtains the modification interface of picture parameter preset by scanning the two-dimensional code, and picture is preset ginseng
Number is stored to the first memory module after modifying；The brightness contrast unit includes the second memory module, and exterior user is whole
End obtains the modification interface of brightness parameter preset by scanning the two-dimensional code, and after brightness parameter preset is modified storage to the
Two memory modules.
Wherein, preferred version is：The picture comparison unit when to conversation structure real-time parameter and picture parameter preset, if
Picture real-time parameter is more than picture parameter preset, and camera is adjusted according to picture classification in the picture sort module
Input current, controls the input current increase of unit control camera in this；Conversely, if picture real-time parameter is equal to or less than picture
Face parameter preset, and the input current of camera is adjusted according to picture classification for the picture sort module, and control is single in this
After member delay 15 seconds, the input current of camera is controlled to reduce.
Wherein, preferred version is：The picture real-time parameter is the real-time focal length of object, and the picture parameter preset is object
Default focal length.
Wherein, preferred version is：The brightness contrast unit when to specific luminance real-time parameter and brightness parameter preset, if
Brightness real-time parameter is more than or equal to brightness parameter preset, and unit is controlled in this and controls the input current of camera constant or subtracts
It is small；Conversely, if brightness real-time parameter is less than brightness parameter preset, the input current increase of unit control camera is controlled in this.
The beneficial effects of the utility model are that compared with prior art, the utility model is by designing a kind of camera
Intelligence control system, which is equipped with deep learning unit, can exclude such as grass, leaf automatically, rain, snow
Changed etc. picture caused by natural cause, prevent from carrying out unnecessary focusing because picture is judged by accident；In addition, the intelligent control system
System is additionally provided with picture comparison unit and brightness contrast unit, can adapt to different scenes, realizes the detection in face and space；Together
When, which is additionally provided with Quick Response Code, and user can be by modifying camera after scanning the two-dimensional code according to demands of individuals
Parameter preset.
Brief description of the drawings
Below in conjunction with accompanying drawings and embodiments, the utility model is described in further detail, in attached drawing：
Fig. 1 is the structure diagram of the utility model intelligence control system；
Fig. 2 is the structure diagram of the utility model brightness contrast unit；
Fig. 3 is the structure diagram of the utility model Quick Response Code.
Embodiment
In conjunction with attached drawing, the preferred embodiment to the utility model elaborates.
As shown in Figure 1 to Figure 3, the utility model provides a kind of preferred embodiment of the intelligence control system of camera.
A kind of intelligence control system of camera 100, the intelligence control system include middle control unit 10, picture contrast list
Member 20, deep learning unit 30 and feature extraction unit 50, control in this unit 10 respectively with picture comparison unit 20 and depth
Practise unit 30 to connect, this feature extraction unit 50 connects picture comparison unit 20.
Wherein, the intelligence control system is a circuit board, which controls chip in including one, during control chip is in this
Control unit；The circuit board further includes picture contrast chip, deep learning chip and feature extraction chip, picture contrast chip and
Deep learning chip is connected with middle control chip respectively, this feature extraction chip connection picture comparison unit, picture contrast chip
That is picture comparison unit 20, the deep learning chip, that is, deep learning unit 30, this feature extraction chip, that is, feature extraction unit
50；Sub- chip, the sub- chip of deep learning and the sub- chip of feature extraction, the picture pair are contrasted alternatively, controlling chip in this and including picture
More sub- than sub- chip, deep learning chip and the sub- chip of feature extraction are embedded in middle control chip respectively, which contrasts sub- chip and be
Picture comparison unit 20, the sub- chip of the deep learning, that is, deep learning unit 30, this feature extract sub- chip, that is, feature extraction list
Member 50.
Specifically, and with reference to figure 1, the intelligence control system picture of external environment condition is obtained by camera 100；Feature
Extraction unit 50, this feature extraction unit 50 extract feature by the picture of external environment condition, are converted into corresponding real-time parameter；Draw
Face comparison unit 20, the picture comparison unit 20 gather the picture real-time parameter in real-time parameter by feature extraction unit 50,
Also, the picture comparison unit 20 is stored with the picture parameter preset of external environment condition；The picture comparison unit 20 is by gesturing
Face real-time parameter and picture parameter preset, form picture comparing result and picture comparing result are sent to middle control unit 10, should
Middle control unit adjusts the input current of camera 100 according to picture comparing result；Deep learning unit 30, the deep learning unit
30 constantly obtain the picture of external environment condition by camera 100, and form picture sort module 31, and the picture sort module 31 is right
Picture is classified, and classifies to form input results or not input results according to picture, is adjusted when forming input results
The input current of camera 100 is saved, or when forming not input results without the input current of adjusting camera 100.Example
Such as, input results are formed when people, car are when big object movement, so that the input current of camera 100 is adjusted, to mobile object
Operation is focused, makes picture relatively sharp；Grass, leaf, rain, snow when caused by natural cause picture change when formed
Not input results, so as to not adjust the input current of camera 100, avoid carrying out unnecessary focus on because picture is judged by accident and grasping
Make, save resource.
Further, and with reference to figure 2, the intelligence control system brightness contrast unit 40 is further included, the brightness contrast list
Member 40 controls unit 10 in connecting respectively and feature extraction unit 50, the brightness contrast unit 40 are adopted by feature extraction unit 50
Collect the brightness real-time parameter in real-time parameter, also, the brightness contrast unit 40 is stored with the brightness parameter preset of external environment condition；
Middle control unit 10 is simultaneously sent to by specific luminance real-time parameter and brightness parameter preset, forming brightness contrast result, is controlled in this
Unit 10 adjusts the input current of camera 100 according to brightness contrast result, in different lightness environments, by camera 100
Different input currents is adjusted, the brightness change of environment is can adapt to, saves operating cost.
Wherein, the circuit board further includes brightness contrast chip, which is connected with middle control chip, the brightness
Contrast chip, that is, brightness contrast unit 40；Alternatively, chip is controlled in this includes the sub- chip of brightness contrast, in the sub- chip of the brightness contrast
Embedded in middle control chip, the sub- chip of the brightness contrast, that is, brightness contrast unit 40.
Specifically, and with reference to figure 3, the surface of the camera 100 Quick Response Code 110, the picture comparison unit 20 are equipped with
Including the first memory module 21, exterior user terminal 200 is by scanning the two-dimensional code modifications circle of 110 acquisition picture parameter presets
Face, and stored after picture parameter preset is modified to the first memory module 21；The brightness contrast unit 40 includes second
Memory module 41, exterior user terminal 200 are incited somebody to action by scanning the two-dimensional code the modification interface of 110 acquisition brightness parameter presets
Brightness parameter preset is stored to the second memory module 41 after modifying.
Wherein, the picture contrast chip includes the first storage chip, which is embedded in picture contrast core
Piece, first storage chip i.e. the first memory module 21；Alternatively, the picture, which contrasts sub- chip, includes the first sub- chip of storage,
The sub- chip of first storage is embedded in picture and contrasts sub- chip, sub- i.e. first memory module 21 of chip of the first storage.It is described bright
Degree contrast chip includes the second storage chip, which is embedded in brightness contrast chip, which is
Second memory module 41；Alternatively, the sub- chip of brightness contrast includes the second sub- chip of storage, which embeds
In the sub- chip of brightness contrast, sub- i.e. second memory module 41 of chip of the second storage.
User can scan the two-dimensional code 110 using user terminal 200, change in intelligence control system according to self-demand
Picture parameter preset and brightness parameter preset, the picture comparison unit 20 when carrying out contrast operation, from first storage mould
Picture parameter preset is obtained in block 21, to conversation structure real-time parameter and picture parameter preset, consequently facilitating camera 100 is in difference
Corresponding operation is exported during vision environment；The brightness contrast unit 40 is when carrying out contrast operation, from the second memory module 41
Middle acquisition brightness parameter preset, to specific luminance real-time parameter and brightness parameter preset, consequently facilitating camera 100 is in different brightness
Corresponding operation is exported during environment.
Wherein, after the picture sort module 31 classifies picture, user can scan two dimension using user terminal 200
Code 110, obtains picture classification, is about to picture classification certainly and is classified as normal pictures or erroneous judgement picture.For example, by people, Che Deng great
The picture of object movement is classified as normal pictures, adjusts the input current of camera 100, behaviour is focused to mobile object
Make, make picture relatively sharp；By grass, leaf, rain, the picture caused by natural cause such as snow changes and is classified as erroneous judgement picture,
The input current of camera 100 is not adjusted, is avoided carrying out unnecessary focusing operation because picture is judged by accident, is saved resource.
In the present embodiment, the picture comparison unit 20 forms picture and joins in real time when obtaining the picture of external environment condition
Number, and picture parameter preset is obtained from the first memory module 21, so as to judge and judge whether picture real-time parameter is more than picture
Face parameter preset.
Wherein, the picture real-time parameter is the real-time focal length of object, and the picture parameter preset presets focal length for object；Take the photograph
As the picture of first 100 continuous acquisition external environment conditions, and the object focal length in picture is detected, since the position of camera 100 is fixed,
If during no object change, the object focal length in the picture that camera 100 detects is often constant；If picture real-time parameter is more than
During picture parameter preset, i.e., the object focal length in picture is varied from, and furtherly, i.e., camera 100 detects the thing in picture
From far near, and the input current of camera 100 is adjusted according to picture classification in the picture sort module 31 to body, in this
The input current increase that unit 10 controls camera 100 is controlled, helps to be focused picture, makes picture clear；It is if described
Picture sort module 31 is classified without the input current for adjusting camera 100 according to picture, and control unit 10 is without phase in this
It should operate, avoid carrying out unnecessary focusing operation because picture is judged by accident, save resource；If conversely, picture real-time parameter
Less than picture parameter preset, i.e., the object focal length in picture is varied from, furtherly, i.e., picture from the near to the remote when, and institute
The input current that camera 100 is adjusted according to picture classification for picture sort module 31 is stated, control unit 10 is delayed 15 seconds in this
Afterwards, the input current of camera 100 is controlled to reduce；Alternatively, if picture real-time parameter is equal to picture parameter preset, i.e., in picture
Object focal length does not change, i.e., when picture does not change, and the picture sort module 31 is adjusted according to picture classification
The input current of camera 100, directly exports ON/OFF signals, closes power supply, saves operating cost；If the picture point
Generic module 31 is classified without the input current for adjusting camera 100 according to picture, and control unit 10 is without corresponding operating in this.
Alternatively, the picture real-time parameter is the size of mobile object, speed, direction, scope, one kind of output time or
Person is a variety of, after the picture comparison unit 20 carries out comprehensive descision to above-mentioned parameter, will determine that result is sent to middle control unit 10,
Unit is controlled in this to be operated accordingly.
Alternatively, the picture real-time parameter is a complete picture, the picture parameter preset is also a complete picture；If draw
Face comparison unit 20 detect picture implement the picture in parameter it is different with picture in picture parameter preset when, directly form picture
Face comparing result is simultaneously sent to middle control unit 10, and the input that unit 10 adjusts camera 100 according to picture comparing result is controlled in this
Electric current.
In the present embodiment, the brightness contrast unit 40 forms brightness and joins in real time when obtaining the picture of external environment condition
Number, also, the brightness contrast unit 40 obtains brightness parameter preset in the second memory module 41；By joining in real time to specific luminance
Number and brightness parameter preset, so as to judge whether brightness real-time parameter is more than brightness parameter preset.
Wherein, if brightness real-time parameter is more than or equal to brightness parameter preset, i.e. the brightness of external environment condition is excessive, in this
Control unit 10 to control the input current of camera 100 constant or reduce, camera 100 is also clear enough at this time, can be into one
Operating cost is saved on step ground；Conversely, if brightness real-time parameter is less than brightness parameter preset, control unit 10 controls camera in this
100 input current increase, helps to obtain clearly picture.
Camera 100 equipped with above-mentioned intelligence control system, available for the road either open location such as industrial and mineral or available
In the family expenses region such as garden or oneself basketball court, intelligence, networking, the purpose of judicial convenience can be realized.
In conclusion the above is only the preferred embodiments of the present utility model only, the utility model is not intended to limit
Protection domain.Any modification made where within the spirit and principles of the present invention, equivalent substitution, improve etc., it should all wrap
Containing within the protection scope of the present utility model.
Claims (6)
- A kind of 1. intelligence control system of camera, it is characterised in that：The intelligence control system includes middle control unit, picture pair Controlled than unit, deep learning unit and feature extraction unit, in this unit respectively with picture comparison unit and deep learning unit Connection, this feature extraction unit connection picture comparison unit, the intelligence control system obtain external environment condition by camera Picture；Wherein,Feature extraction unit, this feature extraction unit extract feature by the picture of external environment condition, are converted into corresponding ginseng in real time Number；Picture comparison unit, which gathers the picture real-time parameter in real-time parameter, also, picture contrast is single Member is stored with the picture parameter preset of external environment condition；By to conversation structure real-time parameter and picture parameter preset, forming picture pair Than result and middle control unit is sent to, the input current that unit adjusts camera according to picture comparing result is controlled in this；Deep learning unit, which constantly obtains the picture of external environment condition, and forms picture sort module, the picture Face sort module classifies picture, and the input current of camera is adjusted or without adjusting according to picture classification The input current of camera.
- 2. intelligence control system according to claim 1, it is characterised in that：The intelligence control system further includes brightness pair Than unit, which controls unit and feature extraction unit in connecting respectively, and brightness contrast unit collection is joined in real time Brightness real-time parameter in number, also, the brightness contrast unit is stored with the brightness parameter preset of external environment condition；It is bright by contrasting Real-time parameter and brightness parameter preset are spent, brightness contrast result is formed and is sent to middle control unit, control unit is according to brightness in this Comparing result adjusts the input current of camera.
- 3. intelligence control system according to claim 2, it is characterised in that：The surface of the camera is equipped with Quick Response Code, The picture comparison unit includes the first memory module, and exterior user terminal obtains picture parameter preset by scanning the two-dimensional code Modification interface, and after picture parameter preset is modified storage to the first memory module；The brightness contrast unit includes Second memory module, exterior user terminal obtain the modification interface of brightness parameter preset by scanning the two-dimensional code, and by brightness Parameter preset is stored to the second memory module after modifying.
- 4. intelligence control system according to claim 3, it is characterised in that：The picture comparison unit is real to conversation structure When parameter and during picture parameter preset, if picture real-time parameter is more than picture parameter preset, and the picture sort module root The input current of camera is adjusted according to picture classification, the input current increase of unit control camera is controlled in this；If conversely, Picture real-time parameter is equal to or less than picture parameter preset, and the picture sort module is adjusted according to picture classification The input current of camera, after control unit is delayed 15 seconds in this, controls the input current of camera to reduce.
- 5. intelligence control system according to claim 4, it is characterised in that：The picture real-time parameter is burnt in real time for object Away from the picture parameter preset presets focal length for object.
- 6. intelligence control system according to claim 3, it is characterised in that：The brightness contrast unit is real to specific luminance When parameter and during brightness parameter preset, control unit control if brightness real-time parameter is more than or equal to brightness parameter preset, in this The input current of camera is constant or reduces；Control unit control conversely, if brightness real-time parameter is less than brightness parameter preset, in this The input current increase of camera processed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721338116.1U CN207369173U (en) | 2017-10-16 | 2017-10-16 | A kind of intelligence control system of camera |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721338116.1U CN207369173U (en) | 2017-10-16 | 2017-10-16 | A kind of intelligence control system of camera |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN207369173U true CN207369173U (en) | 2018-05-15 |
Family
ID=62420528
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201721338116.1U Active CN207369173U (en) | 2017-10-16 | 2017-10-16 | A kind of intelligence control system of camera |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN207369173U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107749948A (en) * | 2017-10-16 | 2018-03-02 | 深圳市杜莎科技有限公司 | The intelligence control system and method for a kind of camera |
-
2017
- 2017-10-16 CN CN201721338116.1U patent/CN207369173U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107749948A (en) * | 2017-10-16 | 2018-03-02 | 深圳市杜莎科技有限公司 | The intelligence control system and method for a kind of camera |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113112505B (en) | Image processing method, device and equipment | |
| CN103945121B (en) | A kind of information processing method and electronic equipment | |
| CN108540724A (en) | A kind of image pickup method and mobile terminal | |
| CN113163133A (en) | Image processing method, device and equipment | |
| CN110890078B (en) | Method for automatically adjusting brightness of display screen based on pupil size | |
| CN107221303A (en) | A kind of method, device and intelligent terminal for adjusting screen intensity | |
| CN103327194A (en) | Mode switching method and device for browser skin brightness | |
| CN107578038A (en) | A kind of ground identification device and cleaning equipment | |
| CN112887582A (en) | Image color processing method and device and related equipment | |
| CN103839054A (en) | Multi-functional mobile intelligent terminal sensor supporting iris recognition | |
| CN108038836A (en) | A kind of image processing method, device and mobile terminal | |
| CN106304533A (en) | A kind of lamplight scene intelligence control system | |
| CN108881544B (en) | Photographing method and mobile terminal | |
| CN103297675A (en) | Image capture method and relative image capture system | |
| CN107369404A (en) | A kind of automobile display screen display effect regulating system | |
| CN109144361A (en) | A kind of image processing method and terminal device | |
| CN111880640B (en) | Screen control method and device, electronic equipment and storage medium | |
| WO2010150201A1 (en) | Geture recognition using chroma- keying | |
| CN109040449A (en) | A kind of volume adjusting method and terminal device | |
| CN207369173U (en) | A kind of intelligence control system of camera | |
| CN114494672A (en) | Data processing method, device and equipment | |
| CN107749948A (en) | The intelligence control system and method for a kind of camera | |
| CN105895057A (en) | Backlight regulating method and device, and terminal equipment | |
| CN206629140U (en) | Intelligent wireless network camera | |
| CN107807488A (en) | A kind of CCD camera assembly, aperture method of adjustment and mobile terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |