CN115294664A - Gesture induction face recognition system based on electrical technology - Google Patents
Gesture induction face recognition system based on electrical technology Download PDFInfo
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- CN115294664A CN115294664A CN202210791980.6A CN202210791980A CN115294664A CN 115294664 A CN115294664 A CN 115294664A CN 202210791980 A CN202210791980 A CN 202210791980A CN 115294664 A CN115294664 A CN 115294664A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/107—Static hand or arm
- G06V40/11—Hand-related biometrics; Hand pose recognition
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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Abstract
A gesture induction face recognition system of an electrical technology comprises a control terminal, a face recognition module and a gesture induction module, wherein the control terminal comprises a background and a reserved database which are connected through wireless signals, the face recognition module comprises face recognition equipment and the face recognition system, the face recognition equipment comprises a using end connected through a wireless network and a high-precision camera installed on the using end, the gesture induction module comprises gesture induction equipment, and the gesture induction equipment comprises a gesture inductor and a peep-proof protector; the invention solves the problem that the simple face pattern feature recognition system has no uniqueness and safety any more due to the image processing technology which can realize the small-range actions of the 3D head portrait through the 2D photo at present, has safety and uniqueness through the joint verification of gesture induction and face recognition, has simple and practical structure, convenient modification and low cost, can be popularized and applied in a large scale, and has great market popularization value.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to a gesture sensing face recognition system based on an electrical technology.
Background
With the continuous progress of society, face recognition gradually enters the field of vision of the public. The human face and other biological characteristics of the human body such as fingerprints, palm prints, irises, retinas and the like have uniqueness, and the uniqueness can be used for identifying the identity of the user.
For example, in the prior art, the face recognition technology can be applied to the functions of opening and closing an access door, accessing objects and the like by face recognition.
However, in the prior art, an image processing technology capable of realizing a small-range action of a 3D head portrait through a 2D photo has appeared, that is, face recognition has no uniqueness, and the original intention of developing the face recognition technology is lost, especially most face recognition technologies currently judge the outline and characteristics of a face according to a depth sensor, but due to the problems of equipment form, equipment cost and the like, most face recognition technologies do not have retina or iris recognition, so that people can easily steal important data or cash of goods in important closed storage chambers or insurance chambers which need face recognition to be opened by using software defects, and important places such as confidential places, namely military parks and the like, and therefore, there is an urgent need to develop a recognition system which enables the face recognition technology to have uniqueness.
Disclosure of Invention
In order to solve the technical problems, the invention provides an electrical gesture sensing face recognition system.
The technical scheme of the invention is realized as follows:
the utility model provides an electricity technique's gesture response face identification system comprises control terminal, face identification module and gesture response module, control terminal comprises the backstage that has wireless signal connection and reservation database, face identification module includes face identification equipment and face identification system, face identification equipment is including wireless network connection's user end and install the camera of using the high accuracy of serving, gesture response module includes gesture response equipment, gesture response equipment comprises gesture inductor and peep-proof protective equipment.
Further, the face recognition module monitors whether the stay time of the user in the monitoring area reaches a preset time: the face recognition system starts timing after monitoring the user, automatically awakens the face recognition system after the user stay time reaches the preset time, and does not start the face recognition system when the user stay time does not reach the preset time.
Furthermore, after the face recognition system is automatically awakened, the face in the monitoring area is recognized, when the face in the monitoring area is only one time, the user information is called from the reserved database, and the user information number is sent to the background.
Furthermore, after the face recognition system is automatically awakened, the face in the monitoring area is recognized, when the face in the monitoring area is more than one, all user information is called from the reserved database, and the user information number is sent to the background.
Further, the gesture sensor detects and analyzes the gesture of the user, calls user information from the reserved database, successfully reads the user information, and sends the user information number to the background.
Further, the background receives a user information number sent by the face recognition system and a user information number sent by the gesture sensor, the users are successfully authenticated if the numbers are the same, and the authentication fails if the numbers are different, and the monitoring is restarted.
Further, the background receives a user information number which is more than one and is sent by the face recognition system and a user information number which is sent by the gesture sensor, if a group of corresponding user information is the same, the verification is successful, and if the group of corresponding user information is not the same, the verification fails, and the monitoring is restarted.
Furthermore, the peep-proof protective tool comprises a top plate, a left side plate and a right side plate, wherein the top plate is arranged at the top of the gesture sensing equipment, and the left side plate and the right side plate are respectively arranged on two side walls of the gesture sensing equipment.
The invention solves the problem that the simple face pattern feature recognition system has no uniqueness and safety any more due to the image processing technology which can realize the small-range action of the 3D head portrait through the 2D photo at present, has safety and uniqueness through the joint verification of gesture induction and face recognition, has simple and practical structure, convenient modification and low cost, can be popularized and applied in a large scale, and has great market popularization value.
Drawings
Fig. 1 is a state diagram of the use of the present invention.
Fig. 2 is a schematic structural diagram of the present invention.
FIG. 3 is a schematic structural diagram of a gesture-sensing device according to the present invention.
1-a door; 2-a face recognition module; 3-a gesture sensing module; 4-control the terminal; 31-a sensing screen; 32-a light wave receiving device; 33-a light wave emitting device; 34-left side plate; 35-right side plate; 36-top plate.
Detailed Description
As shown in fig. 1 to 3, the invention comprises a control terminal, a face recognition module and a gesture sensing module, wherein the control terminal comprises a background and a reserved database which are connected by wireless signals, the face recognition module comprises a face recognition device and a face recognition system, the face recognition device comprises a using end connected by a wireless network and a high-precision camera installed on the using end, the gesture sensing module comprises a gesture sensing device, and the gesture sensing device comprises a gesture sensor and a peep-proof protector. The face recognition module monitors whether the stay time of the user in the monitoring area reaches the preset time: the face recognition system starts timing after monitoring a user, automatically awakens the face recognition system after the user stays for a preset time, the user stays for a time not reaching the preset time, the face recognition system is not started, the priority of monitoring the user stay time is the highest level during the period, and the preset stay time of the user is 1-1.5s.
After the face recognition system is automatically awakened, the face in the monitoring area is recognized, when only one person is in the monitoring area, the information of the user is called from the reserved database, the user information number is sent to the background, and the background is in a state to be verified.
Furthermore, after the face recognition system is automatically awakened, the face in the monitoring area is recognized, when the face in the monitoring area is larger than one, all the personnel information in the detection area is called from the reserved database, the user information number is sent to the background, wherein only one user is required to be successfully verified, and the background records all the personnel information.
Further, the gesture sensor detects and analyzes the gesture when monitoring the gesture of the user, calls user information from the reserved database, successfully reads the user information, and sends the user information number to the background.
Further, the background receives a user information number sent by the face recognition system and a user information number sent by the gesture sensor, the user information numbers are the same in number and successfully authenticated, and if the user information numbers are different in number, authentication fails, and monitoring is restarted.
Further, the background receives a user information number which is more than one and is sent by the face recognition system and a user information number which is sent by the gesture sensor, if a group of corresponding user information is the same, the verification is successful, and if the group of corresponding user information is not the same, the verification fails, and the monitoring is restarted.
Furthermore, the peep-proof protective tool comprises a top plate, a left side plate and a right side plate, wherein the top plate is arranged at the top of the gesture sensing equipment, and the left side plate and the right side plate are respectively arranged on two side walls of the gesture sensing equipment.
Gesture response equipment, including gesture induction system, response screen, gesture induction system includes response module and analysis module, the response module comprises a plurality of induction point of row and column sequencing, the user is through pressing the hand on the response screen, analysis module can take notes user's hand type.
Gesture response equipment, still include the induction system of left and right sides, the left side is light wave emitter, and the right side is light wave receiver, after the record user hand type, the user sets up the gesture in left and right sides induction system, through being predetermineeing the gesture by the light wave form of hand separation, and owing to the hand type of having recorded in advance, can analyze and draw user hand type parameter, carry out the gesture according to the parameter and model to the model is as predetermineeing gesture parameter value.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. An electrical technology gesture induction face recognition system is characterized in that: constitute by control terminal, face identification module and gesture response module, control terminal comprises the backstage that has wireless signal connection and reservation database, face identification module includes face identification equipment and face identification system, face identification equipment is including wireless network connection's use end and install the camera of the high accuracy of serving, gesture response module includes gesture response equipment, gesture response equipment comprises gesture inductor and peep-proof protective equipment.
2. An electro-technical gesture-sensing face recognition system according to claim 1, wherein: the face recognition module monitors whether the stay time of the user in the monitoring area reaches the preset time: the face recognition system starts timing after monitoring the user, automatically wakes up after the stay time of the user reaches the preset time, and does not start up when the stay time of the user does not reach the preset time.
3. An electro-technical gesture-sensing face recognition system according to claim 1, wherein: after the face recognition system is automatically awakened, the face in the monitoring area is recognized, when the face in the monitoring area is only one time, user information is called from the reserved database, and the user information is sent to the background in a serial number mode.
4. An electro-technical gesture-sensing face recognition system according to claim 1, wherein: and after the face recognition system is automatically awakened, recognizing the face in the monitoring area, calling all user information from the reserved database when the face in the monitoring area is more than one time, and sending the user information number to the background.
5. An electro-technical gesture-sensing face recognition system according to claim 1, wherein: the gesture sensor detects and analyzes the gesture of the user, calls user information from the reserved database, successfully reads the user information, and sends the user information number to the background.
6. An electro-technical gesture-sensing face recognition system according to claim 1, wherein: and the background receives the user information number sent by the face recognition system and the user information number sent by the gesture sensor, the user is successfully authenticated if the numbers are the same, and the authentication fails if the numbers are different, and the monitoring is restarted.
7. An electro-technical gesture-sensing face recognition system according to claim 1, wherein: and the background receives a user information number which is more than one and is sent from the face recognition system and a user information number sent by the gesture sensor, if a group of corresponding user information is the same, the verification is successful, if no corresponding group of user information is the same, the verification fails, and the monitoring is restarted.
8. An electro-technical gesture-sensing face recognition system according to claim 1, wherein: the peep-proof protective tool comprises a top plate, a left side plate and a right side plate, wherein the top plate is installed at the top of the gesture sensing equipment, and the left side plate and the right side plate are respectively installed on two side walls of the gesture sensing equipment.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210791980.6A CN115294664A (en) | 2022-07-05 | 2022-07-05 | Gesture induction face recognition system based on electrical technology |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210791980.6A CN115294664A (en) | 2022-07-05 | 2022-07-05 | Gesture induction face recognition system based on electrical technology |
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| CN115294664A true CN115294664A (en) | 2022-11-04 |
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| CN202210791980.6A Pending CN115294664A (en) | 2022-07-05 | 2022-07-05 | Gesture induction face recognition system based on electrical technology |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103973441A (en) * | 2013-01-29 | 2014-08-06 | 腾讯科技（深圳）有限公司 | User authentication method and device on basis of audios and videos |
| CN106846564A (en) * | 2016-12-29 | 2017-06-13 | 湖南拓视觉信息技术有限公司 | A kind of intelligent access control system and control method |
| CN109241721A (en) * | 2018-09-30 | 2019-01-18 | 百度在线网络技术（北京）有限公司 | Method and apparatus for pushed information |
| CN109636399A (en) * | 2018-11-20 | 2019-04-16 | 深圳言智能技术有限公司 | A kind of super face identifying system and recognition methods |
| US20200184845A1 (en) * | 2018-03-31 | 2020-06-11 | NL Giken Incorporated | Data control system for a data server and a plurality of cellular phones, a data server for the system, and a cellular phone for the system |
-
2022
- 2022-07-05 CN CN202210791980.6A patent/CN115294664A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103973441A (en) * | 2013-01-29 | 2014-08-06 | 腾讯科技（深圳）有限公司 | User authentication method and device on basis of audios and videos |
| CN106846564A (en) * | 2016-12-29 | 2017-06-13 | 湖南拓视觉信息技术有限公司 | A kind of intelligent access control system and control method |
| US20200184845A1 (en) * | 2018-03-31 | 2020-06-11 | NL Giken Incorporated | Data control system for a data server and a plurality of cellular phones, a data server for the system, and a cellular phone for the system |
| CN109241721A (en) * | 2018-09-30 | 2019-01-18 | 百度在线网络技术（北京）有限公司 | Method and apparatus for pushed information |
| CN109636399A (en) * | 2018-11-20 | 2019-04-16 | 深圳言智能技术有限公司 | A kind of super face identifying system and recognition methods |
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Application publication date: 20221104 |
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