CN111539295A - Face recognition method, device, system, network equipment and storage medium - Google Patents
Face recognition method, device, system, network equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention relates to the technical field of communication, and discloses a face recognition method, which comprises the following steps: receiving a signal sent by a detector, wherein the detector is used for sending the signal when a person is detected to pass through a detection area of the detector; and taking the detection area where the person passes as a first detection area, enabling the shooting direction of an image acquisition device to face the direction of the first detection area according to the signal, and acquiring the face image of the person passing through the first detection area by adopting the image acquisition device so as to be used for face identification. The embodiment of the invention also provides a face recognition device, a face recognition system, network equipment and a storage medium. The face recognition method, the face recognition device, the face recognition system, the network equipment and the storage medium provided by the embodiment of the invention can easily acquire the face image on the front side and reduce the technical difficulty of face recognition.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method, an apparatus, a system, a network device, and a storage medium for face recognition.
Background
With the development of face recognition technology, face recognition is increasingly applied as identity authentication and identity recognition. When the face recognition technology is applied to the field of customer marketing, the common method is as follows: the face image information of the client is registered in advance, a face recognition camera is arranged at a door of a business hall to shoot the incoming client, the face features to be recognized are compared and recognized with those in the system, and the recommended service or commodity corresponding to the client is given according to the recognition result.
However, the inventors found that the prior art has at least the following problems: when a camera for face recognition is arranged at the door of a business hall for shooting, because the shooting angle of the camera is unique, the face image on the side is easy to shoot, and the facial features of the image of the face image on the side are few and difficult to recognize.
Disclosure of Invention
The embodiment of the invention aims to provide a face recognition method, a face recognition device, a face recognition system, a network device and a storage medium, which can easily acquire a front face image and reduce the technical difficulty of face recognition.
In order to solve the above technical problem, an embodiment of the present invention provides a face recognition method, including: receiving a signal sent by a detector, wherein the detector is used for sending out the signal when detecting that a person passes through a detection area of the detector; the method comprises the steps of taking a detection area where a person passes as a first detection area, enabling the shooting direction of an image acquisition device to face the direction of the first detection area according to signals, and acquiring a face image of the person passing through the first detection area by the image acquisition device for face recognition.
An embodiment of the present invention further provides a face recognition apparatus, including: the receiving module is used for receiving a signal sent by the detector, and the detector is used for sending out the signal when detecting that a person passes through a detection area of the detector; the acquisition module is used for taking the detection area where the person passes as a first detection area, enabling the shooting direction of the image acquisition device to face the direction of the first detection area according to the signal, and acquiring the face image of the person passing through the first detection area by adopting the image acquisition device so as to be used for face recognition.
The embodiment of the invention also provides a face recognition system, which comprises: the device comprises a detector and a face recognition device, wherein the face recognition device comprises an image acquisition device; the detector is used for sending out a signal when a person is detected to pass through a detection area of the detector; the face recognition device is used for taking the detection area where the person passes as a first detection area, enabling the shooting direction of the image acquisition device to face the direction of the first detection area according to the signal, and acquiring the face image of the person passing through the first detection area by adopting the image acquisition device so as to be used for face recognition.
An embodiment of the present invention further provides a network device, including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the face recognition method.
The embodiment of the invention also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the face recognition method.
Compared with the prior art, the embodiment of the invention receives the signal sent by the detector, wherein the detector is used for sending the information when detecting that a person passes through the detection area of the detector; and taking the detection area where the person passes as a first detection area, facing the shooting direction of the image acquisition device to the direction of the first detection area according to the signals, and acquiring the face image of the person passing through the first detection area by adopting the image acquisition device for face recognition. The detector can send a signal when a person passes through the detection area, so that the face image is obtained by directing the shooting direction of the image obtaining device to the direction of the detection area where the person passes through according to the sent signal, and the face image on the front side can be easily obtained; the face image on the front side has more face features, the more the face features are, the lower the difficulty of face recognition is, and the higher the success rate is, so that the success rate of face recognition can be effectively improved by improving the probability of obtaining the face image on the front side, the success rate of face recognition is not required to be improved by improving the performance of the face recognition algorithm, and the technical difficulty of face recognition is effectively reduced.
In addition, the detector is a plurality of detectors, and the detection area of each detector is positioned in a direction different from the detection areas of the other detectors relative to the image acquisition device. Because the direction of the detection area of each detector relative to the image acquisition device is different from the detection areas of other detectors, the coverage range of the detection area can be increased to the greatest extent, which is beneficial to acquiring the face image on the front and reducing the cost of the detector.
In addition, according to the signal, the shooting direction of the image acquisition device is oriented to the direction of the first detection area, and the image acquisition device is adopted to acquire the face image of the person passing through the first detection area for face recognition, the method comprises the following steps: acquiring the direction of the first detection area relative to the image acquisition device according to the signal to be used as a first shooting direction; and the shooting direction of the image acquisition device faces to the first shooting direction, and the image acquisition device is adopted to acquire the face image of the person passing through the first detection area for face recognition. According to the direction of the first detection area relative to the image acquisition device, the shooting direction of the image acquisition device can be towards the direction of the first detection area, so that the front face image can be easily acquired from the first detection area.
In addition, in the face recognition device, the number of the detectors is multiple, and the detection area of each detector is positioned in a direction different from the detection areas of other detectors relative to the image acquisition device; the acquisition module is further configured to: acquiring the direction of the first detection area relative to the image acquisition device according to the signal to be used as a first shooting direction; and the shooting direction of the image acquisition device faces to the first shooting direction, and the image acquisition device is adopted to acquire the face image of the person passing through the first detection area for face recognition.
In addition, in the face recognition system, the number of detectors is multiple, and the detection area of each detector is located in a direction different from the detection areas of the other detectors relative to the image acquisition device.
In addition, the face recognition device is further configured to: acquiring the direction of the first detection area relative to the image acquisition device according to the signal to be used as a first shooting direction; and the shooting direction of the image acquisition device faces to the first shooting direction, and the image acquisition device is adopted to acquire the face image of the person passing through the first detection area for face recognition.
Drawings
One or more embodiments are illustrated by the corresponding figures in the drawings, which are not meant to be limiting.
Fig. 1 is a schematic flow chart of a face recognition method according to a first embodiment of the present invention;
fig. 2 is an exemplary diagram of a face recognition method according to a first embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating a principle of controlling a photographing direction of a camera in the face recognition method corresponding to FIG. 2;
fig. 4 is a schematic block diagram of a face recognition apparatus according to a second embodiment of the present invention;
fig. 5 is a schematic block diagram of a face recognition system according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of a network device according to a fourth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present application in various embodiments of the present invention. However, the technical solution claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments.
A first embodiment of the present invention relates to a face recognition method by receiving a signal sent by a detector for sending out the signal when it is detected that a person passes through a detection area of the detector; and taking the detection area where the person passes as a first detection area, facing the shooting direction of the image acquisition device to the direction of the first detection area according to the signals, and acquiring the face image of the person passing through the first detection area by adopting the image acquisition device for face recognition. The detector can send a signal when a person passes through the detection area, so that the shooting direction of the image acquisition device faces the direction of the detection area where the person passes through according to the sent signal and the face image is acquired, the face image on the front side is easily acquired, the success rate of face recognition is improved, the success rate of face recognition is not required to be improved by a method for improving the performance of an algorithm of face recognition, and the technical difficulty is reduced.
It should be noted that the execution subject of the face recognition method provided by the embodiment of the present invention may be a server, where the server may be implemented by an independent server or a server cluster formed by multiple servers. Alternatively, the execution subject may be a processor in or connected to the image acquisition device, and the processor is taken as an example for description below.
The specific flow of the face recognition method provided by the embodiment of the invention is shown in fig. 1, and specifically comprises the following steps:
s101: and receiving a signal sent by a detector, wherein the detector is used for sending the signal when detecting that a person passes through a detection area of the detector.
The detector may include a pressure sensor, an acoustic wave sensor, an infrared sensor, or the like, and may be specifically set according to actual needs, which is not specifically limited herein. For example, the detector may be a pressure sensor located on the ground, which emits a signal when a person passes over the pressure sensor. In order to receive the signal sent by the detector, the processor should be connected to the detector in a wired or wireless manner, which is not limited herein.
The detection area of the detector may specifically be one detector corresponding to one detection area, or may also be one detector corresponding to a plurality of detection areas. Alternatively, when one detector corresponds to a plurality of detection regions, signals corresponding to different detection regions are different, so that different detection regions are determined according to the difference of the signals. Wherein, the size of the detection area of the detector can be determined by the range that the detector can detect.
Alternatively, the number of the detectors may be set according to actual needs, and is not particularly limited herein. It is understood that when the number of detectors is larger, the more detection areas are, the easier it is to acquire a face image of the front face for face recognition, but the higher the cost is. In a specific example, the detector is a plurality of detectors, and the detection area of each detector is located in a direction different from the detection areas of the other detectors with respect to the image acquisition device.
Because the direction of the detection area of each detector relative to the image acquisition device is different from the detection areas of other detectors, the coverage range of the detection area can be increased to the greatest extent, which is beneficial to acquiring the face image on the front and reducing the cost of the detector.
S102: and taking the detection area where the person passes as a first detection area, facing the shooting direction of the image acquisition device to the direction of the first detection area according to the signals, and acquiring the face image of the person passing through the first detection area by adopting the image acquisition device for face recognition.
The image acquiring device may be a camera, a video camera, or the like capable of acquiring a face image. Alternatively, the image acquisition means is a face camera, and the face camera may further acquire an image of the face of the person when it is determined that the photographic target is a person.
In a specific example, the directing the image capturing device to capture the image of the face of the person passing through the first detection area for face recognition by the image capturing device according to the signal may include:
acquiring the direction of the first detection area relative to the image acquisition device according to the signal to be used as a first shooting direction;
and the shooting direction of the image acquisition device faces to the first shooting direction, and the image acquisition device is adopted to acquire the face image of the person passing through the first detection area for face recognition.
Specifically, the shooting angle or the steering change angle of the image capturing device corresponding to different detection areas can be preset in the processor, so that the shooting direction of the image capturing device can be oriented to the direction of different detection areas according to different signals. For example, if the shooting angle of the image capturing device corresponding to the detection area a is a, when a person passes through the detection area a, the shooting angle of the image capturing device is a, and the shooting direction of the image capturing device can be directed to the direction of the detection area a.
After the processor acquires the face image, the processor can send the acquired face image to a face recognition server for face recognition. Optionally, the processor itself may also have a face recognition algorithm, that is, the processor may directly perform face recognition according to the face image and output a face recognition result. It should be noted that, because the face recognition method provided by the embodiment of the present invention is easy to acquire the face image of the front of the person, and the face image of the front has more recognition features, a general face recognition algorithm may be used for recognition when performing face recognition, for example, an existing open-source neural network algorithm for face recognition; of course, a complex face recognition algorithm may also be used for face recognition, and the specifically adopted face recognition algorithm is not specifically limited here.
It can be understood that if the detection region is too far away from the image acquisition device, it will be unfavorable for the image acquisition device to acquire a clear face image, so that setting the detection region of the detector at a suitable distance from the image acquisition device may be favorable for the image acquisition device to acquire a clear face image. In the prior art, when a face image is obtained, the face image is usually obtained when a person is detected, regardless of whether the distance is within a proper range, so that a fuzzy face image is easy to obtain, and the face recognition is not facilitated. In the embodiment of the invention, the image acquisition device acquires the face image when the detector sends the signal, so that the image acquisition device can more easily acquire the clear face image by reasonably setting the distance between the detection area of the detector and the image acquisition device.
Please refer to fig. 2, which is a diagram illustrating a face recognition method according to an embodiment of the present invention. As shown in fig. 2, the total length of the hall door is 10 meters, 3 pressure sensors (detectors) are respectively placed in a semicircle with the center point of the hall door as the center point and the radius of 5 meters, a camera (image acquisition device) is arranged at the center of the hall door, and the detection areas of the pressure sensors are respectively as follows relative to the direction of the camera: the camera is directly opposite 0 °, 60 ° left and 60 ° right. Please refer to fig. 3, which is a schematic diagram of controlling a shooting direction of a camera corresponding to fig. 2. Specifically, the corresponding relation between the shooting angles of the pressure sensor and the camera is stored in a processing center single chip microcomputer program (processor), when the processing center single chip microcomputer program receives a signal of the pressure sensor, the direction of the pressure sensor sending the signal relative to the camera can be obtained according to the corresponding relation, then the camera is turned to the direction of the detection area of the pressure sensor under the action of the motor according to the direction, and a face image is obtained. Optionally, when the processing center single chip microcomputer program receives the next signal, judging which pressure sensor the signal is sent by according to the signal, and if the pressure sensor sending the signal is the same as the previous one, keeping the shooting direction of the camera unchanged; if the pressure sensor A is changed into the pressure sensor B, the shooting direction of the camera is rotated by 60 degrees anticlockwise through the motor; when the pressure sensor A is changed into the pressure sensor C, the shooting direction of the camera is rotated by 120 degrees anticlockwise through the motor, and the like.
Compared with the prior art, the face recognition method provided by the embodiment of the invention receives the signal sent by the detector, wherein the detector is used for sending the information when detecting that a person passes through the detection area of the detector; and taking the detection area where the person passes as a first detection area, facing the shooting direction of the image acquisition device to the direction of the first detection area according to the signals, and acquiring the face image of the person passing through the first detection area by adopting the image acquisition device for face recognition. The detector can send a signal when a person passes through the detection area, so that the face image is obtained by directing the shooting direction of the image obtaining device to the direction of the detection area where the person passes through according to the sent signal, and the face image on the front side can be easily obtained; the face image on the front side has more face features, the more the face features are, the lower the difficulty of face recognition is, and the higher the success rate is, so that the success rate of face recognition can be effectively improved by improving the probability of obtaining the face image on the front side, the success rate of face recognition is not required to be improved by improving the performance of the face recognition algorithm, and the technical difficulty of face recognition is effectively reduced.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the steps contain the same logical relationship, which is within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
A second embodiment of the present invention relates to a face recognition apparatus 200, as shown in fig. 4, including: a receiving module 201 and an obtaining module 202. The functions of the modules are explained in detail as follows:
a receiving module 201, configured to receive a signal sent by a detector, where the detector is configured to send out a signal when a person is detected to pass through a detection area of the detector;
the obtaining module 202 is configured to use the detection area where the person passes as a first detection area, face the shooting direction of the image obtaining apparatus toward the direction of the first detection area according to the signal, and obtain, by using the image obtaining apparatus, a face image of the person passing through the first detection area for face recognition.
Furthermore, the detector is a plurality of detectors, and the detection area of each detector is positioned in a direction different from the detection areas of the other detectors relative to the image acquisition device;
the obtaining module 202 is further configured to:
acquiring the direction of the first detection area relative to the image acquisition device according to the signal to be used as a first shooting direction;
and the shooting direction of the image acquisition device faces to the first shooting direction, and the image acquisition device is adopted to acquire the face image of the person passing through the first detection area for face recognition.
It should be understood that this embodiment is an example of the apparatus corresponding to the first embodiment, and may be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the first embodiment.
It should be noted that each module referred to in this embodiment is a logical module, and in practical applications, one logical unit may be one physical unit, may be a part of one physical unit, and may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, elements that are not so closely related to solving the technical problems proposed by the present invention are not introduced in the present embodiment, but this does not indicate that other elements are not present in the present embodiment.
A third embodiment of the present invention relates to a face recognition system 300, as shown in fig. 5, including: a detector 301 and a face recognition device 302. The face recognition device 302 includes an image capturing device 3021. Specifically, the method comprises the following steps:
the detector 301 is used for sending out a signal when a person is detected to pass through the detection area of the detector 301;
the face recognition device 302 is configured to use the detection area where the person passes as the first detection area, orient the shooting direction of the image acquisition device 3021 to the direction of the first detection area according to the signal, and acquire the face image of the person passing through the first detection area by using the image acquisition device 3021 for face recognition.
Further, the detector 301 is plural, and the detection area of each detector 301 is located in a direction different from the detection areas of the other detectors 301 with respect to the image capturing device 3021.
Further, the face recognition device 302 is further configured to:
acquiring a direction in which the first detection area is located with respect to the image acquisition apparatus 3021 from the signal as a first photographing direction;
the photographing direction of the image pickup device 3021 is directed to the first photographing direction, and the image pickup device 3021 is employed to acquire a face image of a person passing through the first detection area for face recognition.
It should be understood that this embodiment is a system example corresponding to the first embodiment, and may be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the first embodiment.
It should be noted that each module referred to in this embodiment is a logical module, and in practical applications, one logical unit may be one physical unit, may be a part of one physical unit, and may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, elements that are not so closely related to solving the technical problems proposed by the present invention are not introduced in the present embodiment, but this does not indicate that other elements are not present in the present embodiment.
A fourth embodiment of the invention relates to a network device, as shown in fig. 6, comprising at least one processor 401; and a memory 402 communicatively coupled to the at least one processor 401; the memory 402 stores instructions executable by the at least one processor 401, and the instructions are executed by the at least one processor 401, so that the at least one processor 401 can execute the above-mentioned face recognition method.
Where the memory 402 and the processor 401 are coupled by a bus, which may include any number of interconnected buses and bridges that couple one or more of the various circuits of the processor 401 and the memory 402 together. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 401 may be transmitted over a wireless medium via an antenna, which may receive the data and transmit the data to the processor 401.
The processor 401 is responsible for managing the bus and general processing and may provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 402 may be used to store data used by processor 401 in performing operations.
A fifth embodiment of the present invention relates to a computer-readable storage medium storing a computer program. The computer program realizes the above-described method embodiments when executed by a processor.
That is, those skilled in the art can understand that all or part of the steps in the method of the foregoing embodiments may be implemented by a program to instruct related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, etc.) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
Claims (10)
1. A face recognition method, comprising:
receiving a signal sent by a detector, wherein the detector is used for sending the signal when a person is detected to pass through a detection area of the detector;
and taking the detection area where the person passes as a first detection area, enabling the shooting direction of an image acquisition device to face the direction of the first detection area according to the signal, and acquiring the face image of the person passing through the first detection area by adopting the image acquisition device so as to be used for face identification.
2. The face recognition method of claim 1, wherein the detector is a plurality of detectors, and a detection area of each detector is located in a different direction relative to the image acquisition device than the detection areas of the other detectors.
3. The method according to claim 2, wherein the directing a shooting direction of an image acquisition device to a direction in which the first detection area is located according to the signal, and acquiring a face image of a person passing through the first detection area by using the image acquisition device for face recognition comprises:
acquiring the direction of the first detection area relative to the image acquisition device according to the signal to be used as a first shooting direction;
and the shooting direction of the image acquisition device faces to the first shooting direction, and the image acquisition device is adopted to acquire the face image of the person passing through the first detection area for face recognition.
4. A face recognition apparatus, comprising:
the receiving module is used for receiving a signal sent by a detector, and the detector is used for sending the signal when detecting that a person passes through a detection area of the detector;
and the acquisition module is used for taking the detection area where the person passes as a first detection area, enabling the shooting direction of the image acquisition device to face the direction of the first detection area according to the signal, and acquiring the face image of the person passing through the first detection area by adopting the image acquisition device so as to identify the face.
5. The face recognition device of claim 4, wherein the detectors are multiple, and the detection area of each detector is located in a different direction relative to the image acquisition device than the detection areas of the other detectors;
the acquisition module is further configured to:
acquiring the direction of the first detection area relative to the image acquisition device according to the signal to be used as a first shooting direction;
and the shooting direction of the image acquisition device faces to the first shooting direction, and the image acquisition device is adopted to acquire the face image of the person passing through the first detection area for face recognition.
6. A face recognition system, comprising: the device comprises a detector and a face recognition device, wherein the face recognition device comprises an image acquisition device;
the detector is used for sending the signal when a person is detected to pass through a detection area of the detector;
the face recognition device is used for taking a detection area through which a person passes as a first detection area, enabling the shooting direction of the image acquisition device to face the direction of the first detection area according to the signal, and acquiring the face image of the person passing through the first detection area by adopting the image acquisition device so as to be used for face recognition.
7. The face recognition system of claim 6, wherein the detectors are plural, and each of the detectors has a detection area located at a different direction relative to the image acquisition device than the detection areas of the other detectors.
8. The face recognition system of claim 7, wherein the face recognition device is further configured to:
acquiring the direction of the first detection area relative to the image acquisition device according to the signal to be used as a first shooting direction;
and the shooting direction of the image acquisition device faces to the first shooting direction, and the image acquisition device is adopted to acquire the face image of the person passing through the first detection area for face recognition.
9. A network device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of face recognition according to any one of claims 1-3.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out a face recognition method according to any one of claims 1 to 3.
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Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH01239334A (en) * | 1987-11-05 | 1989-09-25 | Nippon Denso Co Ltd | Spot airconditioner equipped with person-following device |
JP2009002662A (en) * | 2007-06-19 | 2009-01-08 | Optex Co Ltd | Intrusion detector with camera |
CN105184214A (en) * | 2015-07-20 | 2015-12-23 | 北京进化者机器人科技有限公司 | Sound source positioning and human face detection-based human body positioning method and system |
CN106650665A (en) * | 2016-12-26 | 2017-05-10 | 北京旷视科技有限公司 | Human face tracing method and device |
CN107679504A (en) * | 2017-10-13 | 2018-02-09 | 北京奇虎科技有限公司 | Face identification method, device, equipment and storage medium based on camera scene |
WO2018120673A1 (en) * | 2016-12-30 | 2018-07-05 | 移康智能科技(上海)股份有限公司 | Intelligent capturing method and device |
CN108769514A (en) * | 2018-05-17 | 2018-11-06 | Oppo广东移动通信有限公司 | Camera control method, device, electronic device and storage medium |
CN108875515A (en) * | 2017-12-11 | 2018-11-23 | 北京旷视科技有限公司 | Face identification method, device, system, storage medium and capture machine |
CN109361896A (en) * | 2018-10-17 | 2019-02-19 | 南京布拎信息科技有限公司 | A kind of recognition of face face positioning device and its application method |
CN109389093A (en) * | 2018-10-23 | 2019-02-26 | 同济大学 | Based on recognition of face towards type method for tracing |
CN109446974A (en) * | 2018-10-25 | 2019-03-08 | 周军 | A kind of high-precision face recognition device with automatic regulation function |
CN110009758A (en) * | 2019-03-06 | 2019-07-12 | 深圳市中科智诚科技有限公司 | A kind of face recognition device with regulatory function for attendance |
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 |
CN110769148A (en) * | 2018-07-27 | 2020-02-07 | 北京蜂盒科技有限公司 | Camera automatic control method and device based on face recognition |
-
2020
- 2020-04-17 CN CN202010308068.1A patent/CN111539295A/en active Pending
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH01239334A (en) * | 1987-11-05 | 1989-09-25 | Nippon Denso Co Ltd | Spot airconditioner equipped with person-following device |
JP2009002662A (en) * | 2007-06-19 | 2009-01-08 | Optex Co Ltd | Intrusion detector with camera |
CN105184214A (en) * | 2015-07-20 | 2015-12-23 | 北京进化者机器人科技有限公司 | Sound source positioning and human face detection-based human body positioning method and system |
CN106650665A (en) * | 2016-12-26 | 2017-05-10 | 北京旷视科技有限公司 | Human face tracing method and device |
WO2018120673A1 (en) * | 2016-12-30 | 2018-07-05 | 移康智能科技(上海)股份有限公司 | Intelligent capturing method and device |
CN107679504A (en) * | 2017-10-13 | 2018-02-09 | 北京奇虎科技有限公司 | Face identification method, device, equipment and storage medium based on camera scene |
CN108875515A (en) * | 2017-12-11 | 2018-11-23 | 北京旷视科技有限公司 | Face identification method, device, system, storage medium and capture machine |
CN108769514A (en) * | 2018-05-17 | 2018-11-06 | Oppo广东移动通信有限公司 | Camera control method, device, electronic device and storage medium |
CN110769148A (en) * | 2018-07-27 | 2020-02-07 | 北京蜂盒科技有限公司 | Camera automatic control method and device based on face recognition |
CN109361896A (en) * | 2018-10-17 | 2019-02-19 | 南京布拎信息科技有限公司 | A kind of recognition of face face positioning device and its application method |
CN109389093A (en) * | 2018-10-23 | 2019-02-26 | 同济大学 | Based on recognition of face towards type method for tracing |
CN109446974A (en) * | 2018-10-25 | 2019-03-08 | 周军 | A kind of high-precision face recognition device with automatic regulation function |
CN110009758A (en) * | 2019-03-06 | 2019-07-12 | 深圳市中科智诚科技有限公司 | A kind of face recognition device with regulatory function for attendance |
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 |
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