CN102759953A - Automatic camera - Google Patents
Automatic camera Download PDFInfo
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- CN102759953A CN102759953A CN2011101129336A CN201110112933A CN102759953A CN 102759953 A CN102759953 A CN 102759953A CN 2011101129336 A CN2011101129336 A CN 2011101129336A CN 201110112933 A CN201110112933 A CN 201110112933A CN 102759953 A CN102759953 A CN 102759953A
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Abstract
The invention relates to a camera, in particular to a camera connected with a computer host. At present, the camera connected with a computer is widely used, and the camera is used for video chat by people. The camera is commonly divided into a seat type and a clamp type, after a base is fixed, when an angle of the camera is changed, the angle is adjusted manually. According to the invention, an image content is automatically detected and identified through a host analysis software, parameters, such as an angle of an image shooting part, a focal length aperture and the like, can be automatically adjusted, in comparison with the original product, the camera, being in interaction with a user, is convenient for use and entertaining.
Description
Technical field
The present invention relates to a kind of camera, particularly a kind of camera that links to each other with host computer.
Background technology
At present, the camera that is connected with computer is widely used, and people carry out Video chat with camera.Camera generally is divided into two kinds of a formula and folder formulas, and after base was fixing, the angle of camera needed manual work adjustment again during conversion.
Summary of the invention
The present invention a kind ofly detects automatically, discerns picture material through host analysis software, can regulate parameters such as image capture part angle, focal length aperture automatically, realizes interactive camera with the user, has increased the convenience used and recreational than existing product.
Camera with behind the image taking, sends main frame through tcp data segment through the image capture part.Interesting target is (like people's face in the host analysis software analysis image; Staff or given shape target: ball for example) position, state; Perhaps receive the user through the region-of-interest position in the input equipment specify images such as mouse-keyboard; Calculate image capture part information such as the angle-data that should adjust and focal length; The related data that image capture part institute should be adjusted angle, focal length etc. sends automatically controlled adjustment platform to through tcp data segment, and automatically controlled adjustment platform carries out adjustment such as angle, focal length aperture, and the completion camera is adjusted function automatically.
Through switch control, camera can be operated under simple camera mode of operation (be common camera mode of operation, only accomplish image collecting function, can not adjust automatically) and two kinds of mode of operations of intelligent work pattern (promptly can realize adjusting automatically function).
Interesting target in the host analysis software analysis image (like people's face, staff or given shape target: ball for example) position or state can use various algorithms to realize fully.At present, people have had than extensive studies with identification the biological characteristic detection of image, detect and discern like people's face, and the human posture detects and identification, and hand detects, gesture identification etc.Detecting with people's face is example, and the algorithm of a lot of this respects is arranged at present, mainly is divided into based on the method for knowledge with based on two types of the methods of learning.Wherein be based on rules specific and carry out people's face and detect, and rule derives from the priori about people's face pattern based on the method for knowledge.For example people's face generally comprises mutually two eyes of symmetry of position, characteristics such as nose and a mouth, and also they have relatively-stationary position and concern.Testing process is generally at first extracted these facial characteristics, and then makes up according to their position relation, and then detects.Method based on study is to collect a large amount of people's faces and non-face sample, utilizes machine learning algorithm then, obtains a sorter through study, utilizes this sorter to carry out people's face and detects.Method based on study can be introduced self-learning capability; Be about in the image to be detected detected facial image part as people's face new samples; Non-face part obtains new sorter as non-face new samples through relearning, and further strengthens detection, the recognition performance of analysis software.Present various algorithm all has relative merits separately, is the difference on the complexity that detects with the accuracy rate of identification and calculating mostly, can select wherein one or more combinational algorithm to use in the analysis software.
Host analysis software passes through statistical picture pixel average, information such as histogram, and computed image brightness and contrast carries out the adjustment of camera aperture then according to this information.Host analysis software can be accomplished automatic focus function through the sharpness of analysis image region of interest area image.
Image capture part, automatically controlled adjustment platform and host analysis software can constitute a closed-loop system, through the automatic adjustment of image capture partial status being strengthened the performance of host analysis software.For example, when light was dark, the image capture part was with behind the image taking; Send main frame to through tcp data segment, when the host analysis software detection was published picture as light secretly, picture material was difficult for detection and discerned this moment; The adjustment aperture; Image is brightened, and this makes image analysis software detect and the picture material difficulty reduction of discerning, can further accurate analysis image content.
Can audio system be installed at camera and further strengthen amusement function and practicality, audio system mainly comprises Mike and two parts of sound equipment (or earphone).Can add two parts simultaneously in the camera, only add the effect that a part also can play further enhancing amusement function and practicality.Sound is an important media of man-machine interaction.But sound cooperates the detection and the identification of the paired interesting target of mutual group with image.For example,, someone face-image is associated with sound characteristic, constitutes comprehensive characteristics this person's identification to camera forefathers' identification.When detecting,, increase the accuracy rate of identification with the weight addition of face-image and voice recognition result.
Tcp data segment mainly is made up of the high speed interface of computing machine, and USB interface supports hot plug easy to use, is present computing machine camera interface commonly used, also other high speed interfaces such as available netting twine.
In addition, can be equipped with independent current source at the inner microprocessing unit that adds of camera.When not being connected with main frame, camera is set to the state of working alone, and microprocessing unit receives image, the voice data information that camera imports into, and go forward side by side line data analysis and processing are controlled automatically controlled adjustment platform and carried out corresponding actions.When linking to each other with main frame, work in the on-line working state, accomplish or main frame independently is accomplished the analytical calculation of data and controlled the function of automatically controlled platform by microprocessing unit and main frame are common.Usually the processing power of main frame will be better than the processing power of the microprocessing unit that camera carries greatly, thus the on-line working state the state of working alone can realize more performance.The learning outcome of host analysis software can be stored in the microprocessing unit, supplies microprocessing unit to call.The learning outcome of microprocessing unit can supply the host analysis software transfer.
Recreational for increasing, can increase parts such as mechanical arm, LED lamp at camera, the microprocessing unit in host analysis software or the camera is made respective response through parts such as input informations such as analysis image, sound control mechanical arm, LED lamps.For example: when host analysis software was judged user before the camera lens for frequent user through the recognition methods of facial image, main frame was given camera through the tcp data segment move instruction, and at this moment mechanical arm is made the action of waving, LED lamp and respective response such as flashed.
Can find out that from above-mentioned the more common camera of camera has stronger ease of use and recreational among the present invention, can realize technically.Host analysis software has been born main data processing task, and this makes that the camera constructions cost is low, and can after software upgrading, further strengthen the camera performance.
Description of drawings
Below in conjunction with accompanying drawing and embodiment the present invention is further specified.
Fig. 1 is the synoptic diagram of the embodiment of the invention.
Among the figure: 1. image capture part, 2. automatically controlled adjustment platform, 3. microprocessing unit, 4. audio system, 5. tcp data segment 6. is equipped with the main frame of analysis software, 7. independent current source.
Embodiment
Below in conjunction with a specific embodiment explanation content of the present invention.
The camera total system mainly comprises the image capture part, automatically controlled adjustment platform, tcp data segment, host analysis software, audio system, independent current source etc.
Image capture partly comprises camera lens and CCD two parts.Tcp data segment is to transmit through the computer USB data line.Host analysis software can detect people's face automatically.In people's face detection algorithm, the complexity of Adboost algorithm computation is not high, and correct verification and measurement ratio is higher, uses the method here.The deviation of host analysis computed in software people face core and picture centre can calculate automatically controlled adjustment platform through the field angle of camera deviation pixel big or small and people's face core and picture centre and should adjust angle.Publish picture as the picked-up part focal length of should adjusting, parameters such as aperture through the analysis image Mass Calculation.Automatically controlled adjustment platform is the twin shaft The Cloud Terrace, the angle of may command camera level and vertical direction.Audio system comprises Mike and sound equipment.Audio system links to each other with main frame with image capture part, automatically controlled adjustment platform shared data hop.The core devices of microprocessing unit is made up of devices such as the Samsung S3C2440AL of the ARM9 of Samsung, 64MB SDRAM, 64MB Flash.The result of host analysis software after to the facial image analysis can be stored in the microprocessing unit of camera, supplies microprocessing unit to call.The analysis result that is stored in microprocessing unit can supply host computer invokes when camera connects main frame.Independent current source is the 3.7v lithium battery.
Claims (9)
1. camera, camera can be connected with the microcomputer main frame, it is characterized by: camera comprises image capture part, automatically controlled adjustment platform, tcp data segment and host analysis software; Camera image picked-up part is with behind the image taking; Send main frame to through tcp data segment, host analysis software has automatic detection, recognition function to picture material, and host analysis software is through the analysis image content; Calculate image capture part the parameter information that should adjust; Send the image capture part related data of should adjusting to automatically controlled adjustment platform through tcp data segment, automatically controlled adjustment platform is adjusted, and accomplishes camera and adjusts function automatically.
2. according to the said camera of claim 1; It is characterized by: interesting target is (like people's face in the host analysis software analysis image; Trunk, staff) or given shape target (like ball) position, state, perhaps host analysis software analysis user is through the region-of-interest position in the input equipment specify images such as mouse-keyboard;, calculate image capture part the status data that should adjust.
3. according to the said camera of claim 1, it is characterized by: host analysis software analysis image, calculate image capture part focal length, the aperture data that should adjust.
4. according to the said camera of claim 1, it is characterized by: host analysis software has the machine self-learning capability, can pass through being strengthened the host analysis software performance by the self study of analysis image.
5. according to the said camera of claim 1, it is characterized by: image capture part, automatically controlled adjustment platform and host analysis software can constitute a closed-loop system, through the automatic adjustment of image capture partial status being strengthened the performance of host analysis software.
6. according to the said camera of claim 1, it is characterized by: camera has microprocessing unit and independent current source, when camera does not insert main frame; Camera is in the state of working alone; Accomplish analyzing and processing work by microprocessing unit, control automatically controlled adjustment platform, when linking to each other with main frame to data; Work in the on-line working state, accomplish or main frame is independently accomplished the analysis of data and controlled the function of automatically controlled platform by microprocessing unit and main frame are common.
7. according to the said camera of claim 6, it is characterized by: the learning outcome of host analysis software can be stored in the microprocessing unit, supplies microprocessing unit to call, and the learning outcome of microprocessing unit can supply the host analysis software transfer.
8. according to the said camera of claim 1; It is characterized by: camera comprises audio system; Audio system can be made up of audio input device and audio output device two parts, or is made up of audio input device, audio output device separately, audio system and image capture part, automatically controlled adjustment platform shared data hop; The image that sound that audio system is imported and image capture part are imported constitutes the data of being analyzed jointly, accomplishes the analysis to data by main frame.
9. according to the said camera of claim 1; It is characterized by: camera comprises interactive feature such as mechanical arm, LED lamp; The instruction that the response main frame sends through tcp data segment, through switch control, it (is common camera mode of operation that camera can be operated in simple camera mode of operation; Only accomplish image collecting function, can not adjust automatically) and two kinds of mode of operations of intelligent work pattern (promptly can realize adjusting automatically function) under.
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| Application Number | Priority Date | Filing Date | Title |
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| CN2011101129336A CN102759953A (en) | 2011-04-28 | 2011-04-28 | Automatic camera |
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| Application Number | Priority Date | Filing Date | Title |
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| CN2011101129336A CN102759953A (en) | 2011-04-28 | 2011-04-28 | Automatic camera |
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| CN102759953A true CN102759953A (en) | 2012-10-31 |
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| CN2011101129336A Pending CN102759953A (en) | 2011-04-28 | 2011-04-28 | Automatic camera |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104243791A (en) * | 2013-06-19 | 2014-12-24 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN104317385A (en) * | 2014-06-26 | 2015-01-28 | 青岛海信电器股份有限公司 | Gesture identification method and system |
| CN104793733A (en) * | 2014-01-20 | 2015-07-22 | 联想（新加坡）私人有限公司 | Interactive user gesture inputs |
| CN106412423A (en) * | 2016-09-19 | 2017-02-15 | 珠海格力电器股份有限公司 | Focusing method and device |
| CN109855568A (en) * | 2019-01-16 | 2019-06-07 | 北京百度网讯科技有限公司 | Detection method, device, electronic equipment and the storage medium of automatic Pilot sensor |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101060590A (en) * | 2007-04-29 | 2007-10-24 | 北京中星微电子有限公司 | A cam device |
| CN201233306Y (en) * | 2008-08-04 | 2009-05-06 | 长春希达电子技术有限公司 | Display parameter acquisition system for LED display screen |
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- 2011-04-28 CN CN2011101129336A patent/CN102759953A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101060590A (en) * | 2007-04-29 | 2007-10-24 | 北京中星微电子有限公司 | A cam device |
| CN201233306Y (en) * | 2008-08-04 | 2009-05-06 | 长春希达电子技术有限公司 | Display parameter acquisition system for LED display screen |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104243791A (en) * | 2013-06-19 | 2014-12-24 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN104793733A (en) * | 2014-01-20 | 2015-07-22 | 联想（新加坡）私人有限公司 | Interactive user gesture inputs |
| CN104793733B (en) * | 2014-01-20 | 2019-03-29 | 联想（新加坡）私人有限公司 | Posture identification method and equipment, information processing equipment |
| US11226686B2 (en) | 2014-01-20 | 2022-01-18 | Lenovo (Singapore) Pte. Ltd. | Interactive user gesture inputs |
| CN104317385A (en) * | 2014-06-26 | 2015-01-28 | 青岛海信电器股份有限公司 | Gesture identification method and system |
| CN106412423A (en) * | 2016-09-19 | 2017-02-15 | 珠海格力电器股份有限公司 | Focusing method and device |
| CN109855568A (en) * | 2019-01-16 | 2019-06-07 | 北京百度网讯科技有限公司 | Detection method, device, electronic equipment and the storage medium of automatic Pilot sensor |
| US11933604B2 (en) | 2019-01-16 | 2024-03-19 | Apollo Intelligent Driving Technology (Beijing) Co., Ltd. | Detection method and apparatus for automatic driving sensor, and electronic device |
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Application publication date: 20121031 |