CN114419698A - Control method of face recognition camera and computer readable storage medium - Google Patents
Control method of face recognition camera and computer readable storage medium Download PDFInfo
- Publication number
- CN114419698A CN114419698A CN202111617719.6A CN202111617719A CN114419698A CN 114419698 A CN114419698 A CN 114419698A CN 202111617719 A CN202111617719 A CN 202111617719A CN 114419698 A CN114419698 A CN 114419698A
- Authority
- CN
- China
- Prior art keywords
- area
- face recognition
- information
- personnel
- identified
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 50
- 230000011218 segmentation Effects 0.000 claims abstract description 26
- 238000001514 detection method Methods 0.000 claims abstract description 13
- 230000008569 process Effects 0.000 claims description 6
- 230000006870 function Effects 0.000 description 10
- 230000000694 effects Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000004590 computer program Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Studio Devices (AREA)
Abstract
The invention provides a control method of a face recognition camera and a computer readable storage medium, belongs to the technical field of face recognition equipment, and solves the problems of single recognition scene and poor flexibility of the existing face recognition camera. A control method of a face recognition camera is applied to the face recognition camera, the face recognition camera comprises a first camera device, a second camera device, a holder control component and a processor, and the method comprises the following steps: receiving a panoramic image of a first camera device; carrying out density statistics on the personnel distribution range of the panoramic image by utilizing an area personnel number detection algorithm to obtain density information of the personnel distribution range; according to the density information of the personnel distribution range, carrying out region segmentation on the panoramic image by using a region segmentation algorithm to obtain the information of the region to be identified; according to the information of the area to be identified, driving a holder control part to complete shooting of the area to be identified by using a second camera device to obtain an area image; and carrying out personnel identification on the area image, and sending personnel identification data to a back-end server.
Description
Technical Field
The present invention relates to the field of face recognition equipment, and in particular, to a method for controlling a face recognition camera and a computer-readable storage medium.
Background
With the intelligent development of cameras, the demand of cameras supporting face recognition in the market is increasing.
At present, a face recognition spherical machine needs to preset required recognition scenes, and after the scene setting is completed, only a few preset fixed scenes can be recognized, the scene position cannot be adjusted at any time according to the actual conditions in the environment, and the flexibility is poor.
Therefore, the existing face recognition camera has the problems of single recognition scene and poor flexibility.
Disclosure of Invention
The invention aims to provide a control method of a face recognition camera and a computer readable storage medium, so as to solve the technical problems of single recognition scene and poor flexibility of the existing face recognition camera.
In a first aspect, the present invention provides a method for controlling a face recognition camera, which is applied to a face recognition camera, where the face recognition camera includes a first camera device, a second camera device, a pan-tilt control unit, and a processor, and the method includes:
receiving a panoramic image of a first camera device; .
Carrying out density statistics on the personnel distribution range of the panoramic image by utilizing an area personnel number detection algorithm to obtain density information of the personnel distribution range;
according to the density information of the personnel distribution range, carrying out region segmentation on the panoramic image by using a region segmentation algorithm to obtain the information of the region to be identified;
according to the information of the area to be identified, driving a holder control part to complete shooting of the area to be identified by using a second camera device to obtain an area image;
and carrying out personnel identification on the area image, and sending personnel identification data to a back-end server.
Further, after the step of performing density statistics on the distribution range of the people on the panoramic image by using the region people number detection algorithm to obtain density information of the distribution range of the people, the method further comprises the following steps:
judging whether people exist in the panoramic image or not according to the density information of the personnel distribution range;
if so, performing region segmentation on the panoramic image by using a region segmentation algorithm according to density information of a personnel distribution range to obtain information of a region to be identified;
if not, the process is ended.
Further, the density information of the people distribution range comprises people density values in a plurality of ranges.
Further, the person density value within the range is proportional to the number of segmented regions.
Further, the number of the areas to be identified is 1 to 64.
Further, the step of driving the pan-tilt control component to complete shooting of the area to be identified by using the second camera device according to the information of the area to be identified to obtain an area image comprises the following steps;
receiving preset time;
and driving the holder control part to stay for a preset time in the area to be identified according to the information of the area to be identified and the preset time, and finishing shooting the area to be identified by using the second camera device to obtain an area image.
Further, the step of identifying the area image and sending the identification data to the back-end server includes:
carrying out face detection and face comparison identification on the regional image to obtain personnel identification information;
and sending the personnel identification information to a back-end server.
Further, the step of driving the pan-tilt control component to complete shooting of the area to be identified by using the second camera device according to the information of the area to be identified to obtain an area image includes:
receiving the rotation times of the area to be identified;
and driving the holder control part to perform multi-round shooting on the area to be recognized by using the second camera device according to the information of the area to be recognized and the number of rounds of rotation.
Further, the horizontal direction rotation range of the lens in the second camera device is 0 to 180 degrees, and the vertical direction rotation range is-90 to +90 degrees.
In a second aspect, the present invention also provides a computer readable storage medium having stored thereon machine executable instructions which, when invoked and executed by a processor, cause the processor to perform the method provided by the first aspect.
The invention provides a control method of a face recognition camera, which is applied to the face recognition camera, wherein the face recognition camera comprises a first camera device, a second camera device, a pan-tilt control component and a processor, and the method comprises the following steps: receiving a panoramic image of a first camera device; carrying out density statistics on the distribution range of the people on the panoramic image by utilizing an area people number detection algorithm to obtain density information of the distribution range of the people, namely carrying out density statistics on people distributed in different ranges in the panoramic image; according to the density information of the personnel distribution range, carrying out region segmentation on the panoramic image by using a region segmentation algorithm to obtain the information of the region to be identified; carrying out region segmentation on the panoramic image according to the density information, segmenting a plurality of regions with personnel activities, and obtaining information of the region to be identified; and driving the cradle head control part to complete the shooting of the area to be identified by using the second camera device according to the information of the area to be identified to obtain an area image, namely, the second camera device rotates to a corresponding position through the cradle head control part according to the information of the area to be identified and completes the shooting of the area to be identified through proper magnification adjustment so as to obtain the area image. Personnel identification is carried out on the regional image, personnel identification data are sent to the back-end server, and the back-end server completes statistics of attendance personnel according to the personnel identification data, so that an automatic roll call function is realized.
By adopting the control method of the face recognition camera provided by the invention, the density statistics of the personnel distribution range is carried out on the panoramic image shot by the first camera device, so that the density information of the personnel distribution range, namely the density information in a plurality of ranges in which personnel move, is obtained, corresponding region segmentation is carried out according to the density information of the personnel distribution range, a plurality of regions to be recognized in which the personnel move are segmented, the number of the segmented regions can be correspondingly adjusted according to the personnel density, and the regions to be recognized are obtained by correspondingly segmenting the regions in which the personnel move only, and the regions to be recognized are shot correspondingly by the second camera device. The problems of single recognition scene and poor flexibility of the face recognition camera are solved. And through carrying out the accurate location to personnel's activity scope in the panoramic picture, combine personnel's density value to provide the position location for the shooting of second camera device, promoted the operation measurement of face identification camera efficiency, cooperate the back-end server to realize the automatic function of calling roll of personnel to places such as company, school, use this control method to realize the intelligent management to the information of attendance.
Accordingly, the present invention provides a computer-readable storage medium, which also has the above technical effects.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for controlling a face recognition camera according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "comprising" and "having," and any variations thereof, as referred to in embodiments of the present invention, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
At present, a face recognition spherical machine needs to preset required recognition scenes, and after the scene setting is completed, only a few preset fixed scenes can be recognized, the scene position cannot be adjusted at any time according to the actual conditions in the environment, and the flexibility is poor.
Therefore, the existing face recognition camera has the problems of single recognition scene and poor flexibility.
In order to solve the above problems, embodiments of the present invention provide a method for controlling a face recognition camera.
As shown in fig. 1, an embodiment of the present invention provides a method for controlling a face recognition camera, which is applied to a face recognition camera, where the face recognition camera includes a first camera, a second camera, a pan-tilt control unit, and a processor, and the method includes:
s1: a panoramic image of a first camera is received.
S2: and carrying out density statistics on the personnel distribution range of the panoramic image by utilizing an area personnel number detection algorithm to obtain density information of the personnel distribution range.
S3: and according to the density information of the personnel distribution range, carrying out region segmentation on the panoramic image by using a region segmentation algorithm to obtain the information of the region to be identified.
S4: and according to the information of the area to be identified, driving the holder control part to complete shooting of the area to be identified by using the second camera device to obtain an area image.
S5: and carrying out personnel identification on the area image, and sending personnel identification data to a back-end server.
Carrying out density statistics on the crowd distributed in different ranges in the panoramic image; carrying out region segmentation on the panoramic image according to the density information, segmenting a plurality of regions with personnel activities, and obtaining information of the region to be identified; the second camera device rotates to a corresponding position through the holder control part according to the information of the area to be identified, shooting of the area to be identified is completed through proper magnification adjustment, so that an area image is obtained, personnel identification is performed on the area image, personnel identification data are obtained, and the background server completes statistics of attendance personnel according to the personnel identification data, so that an automatic roll call function is achieved.
By adopting the control method of the face recognition camera provided by the embodiment of the invention, the density statistics of the personnel distribution range is carried out on the panoramic image shot by the first camera device, so that the density information of the personnel distribution range, namely the density information in a plurality of ranges in which personnel move, is obtained, corresponding region segmentation is carried out according to the density information of the personnel distribution range, and a plurality of regions to be recognized in which personnel move are segmented, so that the number of the segmented regions can be correspondingly adjusted according to the personnel density, and the regions to be recognized are obtained by correspondingly segmenting only the regions in which the personnel move, and the regions to be recognized are shot correspondingly by the second camera device. The problems of single recognition scene and poor flexibility of the face recognition camera are solved. And through carrying out the accurate location to the personnel's home range in the panoramic picture, combine personnel's density value to provide the position location for second camera device's shooting, promoted the operation efficiency of surveying of face identification camera. The function of automatic roll call of personnel in places such as companies and schools can be realized by matching with a back-end server, and intelligent management of attendance information is realized by using the control method.
In a possible implementation, after the step of S2, the method further includes:
s21: and judging whether people exist in the panoramic image according to the density information of the personnel distribution range.
If yes, go to S3; if not, S22 is executed.
S22: and (6) ending.
And if people exist in the panoramic image, performing region segmentation on the panoramic image by using a region segmentation algorithm according to the density information of the personnel distribution range to obtain the information of the region to be identified. If no person exists in the panoramic image, the region division is not needed.
In one possible embodiment, the density information of the person distribution range comprises person density values in a plurality of ranges. The density information of the person distribution range includes density values in a plurality of ranges in which a person moves in the panoramic image. And (4) counting the density information of the personnel distribution range, and providing basic data for the segmentation quantity and the segmentation range of the region segmentation.
In a possible implementation mode, the density value of personnel in the range is in direct proportion to the number of the divided areas, so that the range with the higher density value can be divided into areas to be identified with more data, the range with the higher density is ensured, the number of personnel can be reasonably divided into different areas to be identified, the problem of missing of personnel detection caused by the higher density of a certain area is avoided, and the accuracy of personnel detection is improved. The proportional relation between the density value of the personnel in the range and the number of the segmentation areas can be specifically set according to the precision requirement of face recognition.
In one possible embodiment, the number of regions to be identified is 1 to 64. The panoramic image can be divided into 64 areas to be identified at the maximum.
In one possible embodiment, the step of S4, including;
s411: receiving a preset time.
S412: and driving the holder control part to stay for a preset time in the area to be identified according to the information of the area to be identified and the preset time, and finishing shooting the area to be identified by using the second camera device to obtain an area image.
The preset time can carry out corresponding setting according to concrete needs, and the second camera device can stay certain time on treating the discernment region, treats the discernment region and shoots and obtain regional image to the personnel of regional image detect, stay certain time and provide more sufficient snapshot time and personnel check time for the second camera device, promote personnel's discernment degree of accuracy.
In one possible embodiment, the step of S5 includes:
s51: and carrying out face detection and face comparison identification on the regional image to obtain personnel identification information.
S52: and sending the personnel identification information to a back-end server.
By utilizing the face recognition technology, face detection and face comparison recognition are carried out on the regional image to obtain personnel identification information, and the personnel identification information is sent to a back-end server, so that the function of automatic roll calling is completed, and intelligent attendance information statistics is realized.
In one possible embodiment, the step of S4 includes:
s421: and receiving the rotation times of the area to be identified.
S422: and driving the holder control part to perform multi-round shooting on the area to be recognized by using the second camera device according to the information of the area to be recognized and the number of rounds of rotation.
Receive the number of times of turning in the area of waiting to discern for the second camera device is treated the discernment area and is carried out the shooting of taking many rounds, has improved personnel's relevance ratio, has improved the degree of accuracy that personnel detected, and the number of times of turning can specifically set up as required.
In one possible embodiment, the lens in the second image pickup device is rotated in a horizontal direction in a range of 0 to 180 degrees and in a vertical direction in a range of-90 to +90 degrees.
In a possible implementation manner, the output end of a first camera device is connected with the input end of a processor, the output end of a second camera device is connected with the input end of the processor, the first camera device is used for shooting panoramic images, the output end of the processor is connected through a pan-tilt control component, the second camera device is fixed with the pan-tilt control component, and the processor performs shooting area control on the second camera device through the pan-tilt control component according to image area segmentation; the processor is used for carrying out image area segmentation on the panoramic image, and the processor is also used for receiving an area image of the second camera device.
In one possible embodiment, a first camera includes a first lens and a panoramic image sensor; the panoramic image sensor is used for receiving an image of the first lens; the output end of the panoramic image sensor is connected with the input end of the processor. The second camera device comprises a second lens and a zooming image sensor; the zoom image sensor is used for receiving an image of the second lens; the second lens is fixed with the holder control part.
Embodiments of the present invention further provide a computer-readable storage medium, where a machine executable instruction is stored in the computer-readable storage medium, and when the machine executable instruction is called and executed by a processor, the machine executable instruction causes the processor to execute the method provided by the foregoing embodiments.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings or the orientations or positional relationships that the products of the present invention are conventionally placed in use, and are only used for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The apparatus provided by the embodiment of the present invention may be specific hardware on the device, or software or firmware installed on the device, etc. The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the foregoing systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
For another example, the division of the unit is only one division of logical functions, and there may be other divisions in actual implementation, and for another example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided by the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; and the modifications, changes or substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention. Are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A control method of a face recognition camera is characterized in that the control method is applied to the face recognition camera, the face recognition camera comprises a first camera device, a second camera device, a holder control component and a processor, and the method comprises the following steps:
receiving a panoramic image of a first camera device; .
Carrying out density statistics on the personnel distribution range of the panoramic image by utilizing an area personnel number detection algorithm to obtain density information of the personnel distribution range;
according to the density information of the personnel distribution range, carrying out region segmentation on the panoramic image by using a region segmentation algorithm to obtain the information of the region to be identified;
according to the information of the area to be identified, driving a holder control part to complete shooting of the area to be identified by using a second camera device to obtain an area image;
and carrying out personnel identification on the area image, and sending personnel identification data to a back-end server.
2. The method for controlling a face recognition camera according to claim 1, wherein after the step of performing density statistics of a person distribution range on the panoramic image by using the region person number detection algorithm to obtain density information of the person distribution range, the method further comprises:
judging whether people exist in the panoramic image or not according to the density information of the personnel distribution range;
if so, performing region segmentation on the panoramic image by using a region segmentation algorithm according to density information of a personnel distribution range to obtain information of a region to be identified;
if not, the process is ended.
3. The method for controlling a face recognition camera according to claim 1, wherein the density information of the person distribution range includes person density values in a plurality of ranges.
4. The method of controlling a face recognition camera according to claim 3, wherein the person density value within the range is proportional to the number of the divided regions.
5. The method for controlling a face recognition camera according to claim 1, wherein the number of the regions to be recognized is 1 to 64.
6. The method for controlling a face recognition camera according to claim 1, wherein the step of driving the pan/tilt control unit to complete the shooting of the region to be recognized by the second camera device according to the information of the region to be recognized to obtain the region image comprises;
receiving preset time;
and driving the holder control part to stay for a preset time in the area to be identified according to the information of the area to be identified and the preset time, and finishing shooting the area to be identified by using the second camera device to obtain an area image.
7. The method for controlling a face recognition camera according to claim 1, wherein the step of recognizing the region image and transmitting the recognition data to the back-end server includes:
carrying out face detection and face comparison identification on the regional image to obtain personnel identification information;
and sending the personnel identification information to a back-end server.
8. The method for controlling a face recognition camera according to claim 1, wherein the step of driving the pan/tilt control unit to complete the shooting of the region to be recognized by the second camera device according to the information of the region to be recognized to obtain the region image comprises:
receiving the rotation times of the area to be identified;
and driving the holder control part to perform multi-round shooting on the area to be recognized by using the second camera device according to the information of the area to be recognized and the number of rounds of rotation.
9. The method of claim 1, wherein the lens in the second camera device is rotated in a horizontal direction within a range of 0 to 180 degrees and in a vertical direction within a range of-90 to +90 degrees.
10. A computer readable storage medium having stored thereon machine executable instructions which, when invoked and executed by a processor, cause the processor to execute the method of any of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111617719.6A CN114419698A (en) | 2021-12-27 | 2021-12-27 | Control method of face recognition camera and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111617719.6A CN114419698A (en) | 2021-12-27 | 2021-12-27 | Control method of face recognition camera and computer readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114419698A true CN114419698A (en) | 2022-04-29 |
Family
ID=81269532
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111617719.6A Pending CN114419698A (en) | 2021-12-27 | 2021-12-27 | Control method of face recognition camera and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114419698A (en) |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201839377U (en) * | 2010-08-24 | 2011-05-18 | 上海盖诺电子有限公司 | Whole scene infrared separation automatic tracking device |
| CN102722703A (en) * | 2012-06-06 | 2012-10-10 | 深圳市海亿达能源科技股份有限公司 | Integration space population distribution monitoring device and monitoring method |
| CN105245845A (en) * | 2015-10-10 | 2016-01-13 | 上海慧体网络科技有限公司 | Method for controlling camera to follow and shoot automatically based on gathering trend in match field |
| CN106331657A (en) * | 2016-11-02 | 2017-01-11 | 北京弘恒科技有限公司 | Video analysis and detection method and system for crowd gathering and moving |
| CN108021852A (en) * | 2016-11-04 | 2018-05-11 | 株式会社理光 | A kind of demographic method, passenger number statistical system and electronic equipment |
| CN108734066A (en) * | 2017-04-20 | 2018-11-02 | 奥克斯空调股份有限公司 | A kind of images of gestures acquisition device and method |
| CN110245561A (en) * | 2019-05-09 | 2019-09-17 | 深圳市锐明技术股份有限公司 | A kind of face identification method and device |
| CN110505440A (en) * | 2018-05-18 | 2019-11-26 | 杭州海康威视数字技术股份有限公司 | A kind of area monitoring method and device |
| CN110545378A (en) * | 2019-09-06 | 2019-12-06 | 广州市奥威亚电子科技有限公司 | intelligent recognition shooting system and method for multi-person scene |
| CN110572570A (en) * | 2019-09-06 | 2019-12-13 | 广州市奥威亚电子科技有限公司 | intelligent recognition shooting method and system for multi-person scene and storage medium |
| CN111010546A (en) * | 2019-12-20 | 2020-04-14 | 浙江大华技术股份有限公司 | Method and device for adjusting monitoring preset point and storage medium |
| CN111353361A (en) * | 2019-08-19 | 2020-06-30 | 深圳市鸿合创新信息技术有限责任公司 | Face recognition method and device and electronic equipment |
| CN112073676A (en) * | 2019-06-11 | 2020-12-11 | 杭州海康威视数字技术股份有限公司 | Roll call system |
| CN112308018A (en) * | 2020-11-19 | 2021-02-02 | 安徽鸿程光电有限公司 | Image identification method, system, electronic equipment and storage medium |
| CN112767629A (en) * | 2020-12-24 | 2021-05-07 | 中标慧安信息技术股份有限公司 | Indoor security method and system based on holder monitoring |
| CN113128299A (en) * | 2019-12-30 | 2021-07-16 | 深圳云天励飞技术有限公司 | People flow density detection method and device, terminal equipment, server and storage medium |
-
2021
- 2021-12-27 CN CN202111617719.6A patent/CN114419698A/en active Pending
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201839377U (en) * | 2010-08-24 | 2011-05-18 | 上海盖诺电子有限公司 | Whole scene infrared separation automatic tracking device |
| CN102722703A (en) * | 2012-06-06 | 2012-10-10 | 深圳市海亿达能源科技股份有限公司 | Integration space population distribution monitoring device and monitoring method |
| CN105245845A (en) * | 2015-10-10 | 2016-01-13 | 上海慧体网络科技有限公司 | Method for controlling camera to follow and shoot automatically based on gathering trend in match field |
| CN106331657A (en) * | 2016-11-02 | 2017-01-11 | 北京弘恒科技有限公司 | Video analysis and detection method and system for crowd gathering and moving |
| CN108021852A (en) * | 2016-11-04 | 2018-05-11 | 株式会社理光 | A kind of demographic method, passenger number statistical system and electronic equipment |
| CN108734066A (en) * | 2017-04-20 | 2018-11-02 | 奥克斯空调股份有限公司 | A kind of images of gestures acquisition device and method |
| CN110505440A (en) * | 2018-05-18 | 2019-11-26 | 杭州海康威视数字技术股份有限公司 | A kind of area monitoring method and device |
| CN110245561A (en) * | 2019-05-09 | 2019-09-17 | 深圳市锐明技术股份有限公司 | A kind of face identification method and device |
| CN112073676A (en) * | 2019-06-11 | 2020-12-11 | 杭州海康威视数字技术股份有限公司 | Roll call system |
| CN111353361A (en) * | 2019-08-19 | 2020-06-30 | 深圳市鸿合创新信息技术有限责任公司 | Face recognition method and device and electronic equipment |
| CN110572570A (en) * | 2019-09-06 | 2019-12-13 | 广州市奥威亚电子科技有限公司 | intelligent recognition shooting method and system for multi-person scene and storage medium |
| CN110545378A (en) * | 2019-09-06 | 2019-12-06 | 广州市奥威亚电子科技有限公司 | intelligent recognition shooting system and method for multi-person scene |
| CN111010546A (en) * | 2019-12-20 | 2020-04-14 | 浙江大华技术股份有限公司 | Method and device for adjusting monitoring preset point and storage medium |
| CN113128299A (en) * | 2019-12-30 | 2021-07-16 | 深圳云天励飞技术有限公司 | People flow density detection method and device, terminal equipment, server and storage medium |
| CN112308018A (en) * | 2020-11-19 | 2021-02-02 | 安徽鸿程光电有限公司 | Image identification method, system, electronic equipment and storage medium |
| CN112767629A (en) * | 2020-12-24 | 2021-05-07 | 中标慧安信息技术股份有限公司 | Indoor security method and system based on holder monitoring |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106650671B (en) | Face recognition method, device and system | |
| US10614293B2 (en) | Facial recognition apparatus, recognition method and program therefor, and information device | |
| US7554575B2 (en) | Fast imaging system calibration | |
| CN105447864B (en) | Processing method, device and the terminal of image | |
| US10306133B2 (en) | Image processing apparatus for generating a likelihood distribution of an object | |
| CN109166156B (en) | Camera calibration image generation method, mobile terminal and storage medium | |
| CN100502471C (en) | Image processing device, image processing method and imaging device | |
| CN106295638A (en) | Certificate image sloped correcting method and device | |
| CN108776800B (en) | Image processing method, mobile terminal and computer readable storage medium | |
| CN105611230A (en) | Image processing apparatus, image processing method, and storage medium | |
| CN103329518A (en) | Image capturing system, camera control device for use therein, image capturing method, camera control method, and computer program | |
| CN101102572A (en) | Apparatus and method for photographing a business card in portable terminal | |
| CN112689221B (en) | Recording method, recording device, electronic equipment and computer readable storage medium | |
| JP6924064B2 (en) | Image processing device and its control method, and image pickup device | |
| CN112434546A (en) | Face living body detection method and device, equipment and storage medium | |
| CN103262561A (en) | Video distribution system, and video distribution method | |
| CN110677580B (en) | Shooting method, shooting device, storage medium and terminal | |
| CN113225550A (en) | Offset detection method and device, camera module, terminal equipment and storage medium | |
| US9317770B2 (en) | Method, apparatus and terminal for detecting image stability | |
| CN105467741A (en) | Panoramic shooting method and terminal | |
| CN114419698A (en) | Control method of face recognition camera and computer readable storage medium | |
| JP2002027449A (en) | Method and apparatus for identifying moving object | |
| CN115842960A (en) | Method for adjusting angle of device lens, terminal device and storage medium | |
| CN109981970B (en) | Method and device for determining shooting scene and robot | |
| CN111985305A (en) | Screen peeping prevention method and device and terminal equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |