CN219039745U - Authentication system - Google Patents
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- CN219039745U CN219039745U CN202221190482.8U CN202221190482U CN219039745U CN 219039745 U CN219039745 U CN 219039745U CN 202221190482 U CN202221190482 U CN 202221190482U CN 219039745 U CN219039745 U CN 219039745U
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- fingerprint identification
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- 210000003462 vein Anatomy 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 230000010354 integration Effects 0.000 abstract description 4
- 238000000034 method Methods 0.000 description 13
- 230000003068 static effect Effects 0.000 description 10
- 230000005540 biological transmission Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000012795 verification Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
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Abstract
The utility model discloses an authentication system, which comprises a robot body and a robot host, wherein the robot host is connected with a display screen, a fingerprint identification device and a camera for collecting face information, a password authentication module is arranged in the display screen, and a face recognition module is arranged in the camera; the fingerprint identification device and the camera are fixedly arranged on the robot body through the fixed mounting cavity, and the system authentication mode on the robot is encrypted and verified through the fingerprint and the face by utilizing the biological identification technology. Compared with the prior art, the utility model has the following advantages: the authentication system optimizes the current system authentication mode, and encrypts and verifies the system authentication mode on the robot by utilizing a biological recognition technology through fingerprints and faces. The user can select one or more modules for custom integration according to actual needs, so that the safety of the robot system is improved, and the robot can be applied to various scenes with security requirements.
Description
Technical Field
The utility model relates to the technical field of robots, in particular to an authentication system.
Background
Along with the improvement of the system integration level, the security of the system is particularly important, and once the system is subjected to unauthorized intrusion or damage, the consequences cannot be assumed, so that the robot in any application scene needs to strictly control the system authentication mode and adopts a proper authentication mode.
The existing authentication mode mainly comprises a static password, a dynamic password and a USB key. The static password mode is mainly a user name and password authentication mode, is the simplest and most commonly used identity authentication method, the password of a user is set by the user, the correct password is input when the system logs in, and the computer considers that an operator is a legal user. However, in the actual operation process, because of the user password customization, in order to prevent the user from forgetting the password, a character string which is easily guessed or cracked, such as a birthday or a telephone password, is often adopted as the password, or the user password is transcribed on paper or recorded on a mobile phone memo, so that the password is easily leaked. Furthermore, if the password is static data, the password needs to be intercepted by a Trojan program or other means in the process of the memory and transmission of the system computer in the verification process. Therefore, the mechanism of static passwords is very simple from the deployment aspect, but the authentication mode of the user name encryption codes is a security system authentication method from the security aspect, and is only suitable for small-sized systems with low security requirements.
The dynamic password is an authentication mode which is most widely applied at present, and the authentication mode based on dynamic authentication mainly comprises a dynamic short message password and a dynamic password. The dynamic short message password is usually requested to contain a 6-bit random number in the form of a mobile phone short message, the identity authentication system sends the random 6-bit password to a mobile phone of a user in the form of the short message, and the user inputs the password when logging in the system, so that the method is used as a method for authenticating the logging in system. The dynamic short message password has the advantages that the dynamic short message password has the following advantages of safety, low probability of interception or interception on a passage, but is not excluded, because the mobile phone is tightly bound with a client, and the short message password is physically isolated from the use scene; the second popularity is that only short messages can be received, so that the use threshold of the password technology is greatly reduced, and the learning cost is almost zero, so that no resistance exists in the market; the method is easy to maintain, the complexity and the risk on the short message password system are greatly reduced, the post customer service cost of the short message password service is low, and the stable system also creates a good public praise effect while improving the safety, which is also an important reason for adopting the system authentication method by most banks at present. However, the authentication mode adopting the dynamic password is relatively complicated in operation for the user, and is not convenient and quick enough.
In the prior art, the authentication mode of the robot is mainly based on a static password, and the security, usability and portability cannot be achieved. There is therefore a need for an authentication system to solve the above problems.
Disclosure of Invention
The utility model aims to overcome the problems in the prior art and provides an authentication system.
In order to achieve the above purpose, the present utility model adopts the following scheme:
an authentication system comprises a robot body and a robot host, wherein the robot host is connected with a display screen, a fingerprint identification device and a camera for collecting face information, a password authentication module is arranged in the display screen, and a face recognition module is arranged in the camera; be equipped with the fixed mounting chamber that is used for installing fingerprint identification device and camera on the robot body, fingerprint identification device and camera all set firmly on the robot body through fixed mounting chamber, utilize biological identification technology to carry out encryption verification to the system authentication mode on the robot through fingerprint and face. The system authentication method based on static passwords by utilizing fingerprints and faces solves the problem of security encryption of the robot system, improves the security of the robot system, and enables the robot to be applicable to various scenes with security requirements. The fingerprint identification device comprises an integrally packaged acquisition unit and a fingerprint identification chip, wherein the acquisition unit comprises a light source, a collimation device, a cover plate and a filter film, and the fingerprint identification chip is connected with the robot host. The fingerprint identification device and the camera of the robot are arranged below the display screen, flame sensors are arranged on two sides of the display screen and at the lower ends of the fingerprint identification device and the camera, and a flame detection and identification camera is arranged on the back of the display screen. The fingerprint identification device and the camera are arranged next to the lower end of the display screen, so that the fingerprint identification device is reasonable in height and convenient for a user to use.
Further, the collimating device is arranged on the fingerprint identification chip, the top of the collimating device is lower than the light source, the cover plate is arranged above the light source and the collimating device, light rays emitted by the light source form reflected light carrying fingerprint information on the surface of the top of the cover plate, and the light filtering film covers the collimating device. The light source emits light, the light is reflected by the finger surface of the finger to be detected, and reflected light carrying fingerprint information is formed on the top surface of the cover plate. The collimating device top is lower than the light source, helps reducing the light that the light source sent and is sheltered from by the collimating device in the transmission process to apron top surface to guarantee that more light can transmit to apron top surface, thereby improve the light intensity of the reflection light that carries fingerprint information that forms on apron top surface, improve fingerprint identification device's work efficiency. The filter film can filter stray light and retain reflected light carrying fingerprint information in a specific wave band, so that the definition of a fingerprint image received by a chip is improved, and the identification accuracy of the fingerprint identification device is improved.
Further, fingerprint identification device and camera all locate the display screen below. The fingerprint identification device and the camera are arranged next to the lower end of the display screen, a user does not need to walk through the display screen control equipment after authentication through the fingerprint identification device and the camera, the layout is reasonable, and meanwhile, the height of the fingerprint identification device and the camera reasonably accords with the fact that the user stands to finish authentication.
Furthermore, the collimating device is connected with the cover plate through a light-transmitting piece, one side of the light-transmitting piece is attached to the bottom surface of the cover plate, and the other side of the light-transmitting piece is attached to the top surface of the collimating device.
Further, the number of the light sources is multiple, the light sources are distributed around the light-transmitting piece, and the light sources are located below the shading layer.
Further, the fingerprint identification device is a central control Live20R, and after a user registers a fingerprint through a display screen, the fingerprint identification device acquires fingerprint information of the user and stores the fingerprint information into a database of the robot host.
Further, the face recognition module is connected with the robot host, and comprises a preprocessing unit, a feature extraction unit and a feature comparison unit, and after the face information of the user is acquired through the display screen, the face recognition module acquires the face information of the user and stores the face information into a database of the robot host.
Further, the robot host is also connected with a vein recognition module and an iris recognition module.
Further, the robot host is also connected with an IDIC card module.
Compared with the prior art, the utility model has the following advantages: the authentication system optimizes the current system authentication mode, a fingerprint identification device and a camera for collecting face information are arranged on a robot body, and the system authentication mode on the robot is encrypted and verified by utilizing a biological identification technology through fingerprints and faces. The system authentication method based on static passwords by utilizing fingerprints and faces solves the problem of security encryption of the robot system, improves the security of the robot system, and enables the robot to be applicable to various scenes with security requirements. The user can select one or more modules for customizing and integrating the password authentication module, the face recognition module, the fingerprint module, the vein recognition module, the iris recognition module, the IDIC card module and other software authentication modules in the authentication system according to actual needs.
Drawings
The present application is described in further detail below with reference to the drawings and detailed description.
Fig. 1 is a schematic diagram of an authentication system according to the present utility model.
Fig. 2 is a schematic diagram of a robot carrying an authentication system according to the present utility model.
Detailed Description
The following describes in further detail the embodiments of the present utility model with reference to the drawings and examples. The following examples are illustrative of the utility model and are not intended to limit the scope of the utility model.
As shown in fig. 1 and 2, an authentication system comprises a robot body 1 and a robot host 5, wherein the robot host 5 is connected with a display screen 6, a fingerprint identification device 4 and a camera 2 for collecting face information, a password authentication module 6 is arranged in the display screen 6, and a face recognition module 3 is arranged in the camera 2; be equipped with the fixed mounting chamber that is used for installing fingerprint identification device 4 in camera 2 on the robot body 1, fingerprint identification device 4 and camera 2 all set firmly on the robot body 1 through fixed mounting chamber, utilize biological recognition technology to encrypt the verification to the system authentication mode on the robot through fingerprint and face. The system authentication method using fingerprints and faces solves the problem of robot system security encryption based on static passwords, and in another embodiment, the static passwords can be replaced by a nine-grid connection. The safety of the robot system is improved, so that the robot can be applied to various scenes with security requirements. The fingerprint recognition device 4 comprises an integrally packaged acquisition unit and a fingerprint recognition chip, wherein the acquisition unit comprises a light source, a collimation device, a cover plate and a filter film, and the fingerprint recognition chip is connected with the robot host 5. The fingerprint identification device 4 and the camera 2 of the robot are arranged below the display screen 6, flame sensors are arranged on two sides of the display screen 6 and at the lower ends of the fingerprint identification device 4 and the camera 2, and a flame detection and identification camera is arranged on the back of the display screen 6. The fingerprint identification device 4 and the camera 2 are arranged next to the lower end of the display screen 6, so that the height is reasonable, and the use of a user is facilitated. In another embodiment, the robot host is also connected with a vein recognition module 7, an iris recognition module 8 and an IDIC card module 9. The user can select one or more modules for custom integration according to actual needs.
Preferably, the collimating device is arranged on the fingerprint identification chip, the top of the collimating device is lower than the light source, the cover plate is arranged above the light source and the collimating device, light rays emitted by the light source form reflected light carrying fingerprint information on the surface of the top of the cover plate, and the light filtering film covers the collimating device. The light source emits light, the light is reflected by the finger surface of the finger to be detected, and reflected light carrying fingerprint information is formed on the top surface of the cover plate. The collimating device top is lower than the light source, helps reducing the risk that light that the light source sent is sheltered from by the collimating device in to apron top surface transmission process to guarantee that more light can transmit to apron top surface, thereby improve the light intensity of the reflection light that carries fingerprint information that forms on apron top surface, improve fingerprint identification device 4's work efficiency. The filter film can filter stray light and retain reflected light carrying fingerprint information in a specific wave band, so that the definition of a fingerprint image received by a chip is improved, and the recognition accuracy of the fingerprint recognition device 4 is improved.
Preferably, as shown in fig. 2, the fingerprint recognition device 4 and the camera 2 are both disposed below the display screen 6. The fingerprint identification device 4 and the camera 2 are arranged next to the lower end of the display screen 6, a user is authenticated by the fingerprint identification device 4 and the camera 2 and then directly controls equipment through the display screen 6 without walking, the layout is reasonable, and meanwhile, the height of the fingerprint identification device 4 and the height of the camera 2 reasonably accord with the standing of the user, so that the authentication can be completed.
Preferably, the collimating device is connected with the cover plate through a light-transmitting piece, one side of the light-transmitting piece is attached to the bottom surface of the cover plate, and the other side of the light-transmitting piece is attached to the top surface of the collimating device.
Preferably, the number of the light sources is multiple, the light sources are distributed around the light-transmitting piece, and the light sources are located below the shading layer.
Preferably, the fingerprint recognition device 4 is a central control Live20R, and after the user registers a fingerprint through the display screen 6, the fingerprint recognition device 4 obtains fingerprint information of the user and stores the fingerprint information in the database of the robot host 5.
Preferably, the face recognition module 3 is connected with the robot host 5, the face recognition module 3 comprises a preprocessing unit, a feature extraction unit and a feature comparison unit, and after the user collects face information through the display screen 6, the face recognition module 3 obtains the face information of the user and stores the face information into a database of the robot host 5.
Compared with the prior art, the utility model has the following advantages: the authentication system optimizes the current system authentication mode, a fingerprint identification device 4 and a camera 2 for collecting face information are arranged on a robot body 1, and the system authentication mode on the robot is encrypted and verified by utilizing a biological identification technology through fingerprints and faces. The system authentication method based on static passwords by utilizing fingerprints and faces solves the problem of security encryption of the robot system, improves the security of the robot system, and enables the robot to be applicable to various scenes with security requirements. The user can select one or more modules for custom integration according to actual needs from the password authentication module 6, the face recognition module, the fingerprint module, the vein recognition module 7, the iris recognition module 8, the IDIC card module 9 and other software authentication modules in the authentication system.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and substitutions will now occur to those skilled in the art without departing from the technical principles of the present application, and these modifications and substitutions should also be considered to be within the scope of the present application.
Claims (9)
1. The authentication system comprises a robot body and a robot host, and is characterized in that the robot host is connected with a display screen, a fingerprint identification device and a camera for collecting face information, a password authentication module is arranged in the display screen, and a face recognition module is arranged in the camera; the robot comprises a robot body, and is characterized in that a fixed mounting cavity for mounting the fingerprint identification device and the camera is formed in the robot body, the fingerprint identification device and the camera are fixedly arranged on the robot body through the fixed mounting cavity, the fingerprint identification device comprises an integrally packaged acquisition unit and a fingerprint identification chip, the acquisition unit comprises a light source, a collimation device, a cover plate and a filter film, and the fingerprint identification chip is connected with a robot host.
2. The authentication system of claim 1, wherein the collimating device is disposed on the fingerprint identification chip, the top of the collimating device is lower than the light source, the cover plate is disposed above the light source and the collimating device, the light emitted by the light source forms reflected light carrying fingerprint information on the top surface of the cover plate, and the light filtering film covers the collimating device.
3. An authentication system according to claim 2, wherein the fingerprint recognition device and the camera are both arranged below the display screen.
4. An authentication system according to claim 2, wherein the collimating means is connected to the cover plate by a light transmissive member, one side of the light transmissive member being in contact with the bottom surface of the cover plate and the other side being in contact with the top surface of the collimating means.
5. An authentication system according to claim 4, wherein the number of light sources is plural, the light sources being arranged around the light-transmitting member, the light sources being located below the light-shielding layer.
6. An authentication system according to claim 1, wherein the fingerprint recognition device is a central control Live20R.
7. An authentication system according to claim 1, wherein the face recognition module is connected to the robot host, and the face recognition module comprises a preprocessing unit, a feature extraction unit and a feature comparison unit.
8. The authentication system of claim 1, wherein the robot host is further coupled to a vein recognition module and an iris recognition module.
9. The authentication system of claim 1, wherein the robot host is further connected to an IDIC card module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202221190482.8U CN219039745U (en) | 2022-05-18 | 2022-05-18 | Authentication system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202221190482.8U CN219039745U (en) | 2022-05-18 | 2022-05-18 | Authentication system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN219039745U true CN219039745U (en) | 2023-05-16 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202221190482.8U Active CN219039745U (en) | 2022-05-18 | 2022-05-18 | Authentication system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN219039745U (en) |
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2022
- 2022-05-18 CN CN202221190482.8U patent/CN219039745U/en active Active
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