WO2017206354A1 - 基于人脸识别的智能箱包 - Google Patents
基于人脸识别的智能箱包 Download PDFInfo
- Publication number
- WO2017206354A1 WO2017206354A1 PCT/CN2016/095036 CN2016095036W WO2017206354A1 WO 2017206354 A1 WO2017206354 A1 WO 2017206354A1 CN 2016095036 W CN2016095036 W CN 2016095036W WO 2017206354 A1 WO2017206354 A1 WO 2017206354A1
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- WO
- WIPO (PCT)
- Prior art keywords
- module
- microprocessor
- air quality
- password
- processing module
- Prior art date
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Classifications
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- A—HUMAN NECESSITIES
- A45—HAND OR TRAVELLING ARTICLES
- A45C—PURSES; LUGGAGE; HAND CARRIED BAGS
- A45C13/00—Details; Accessories
- A45C13/10—Arrangement of fasteners
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- A—HUMAN NECESSITIES
- A45—HAND OR TRAVELLING ARTICLES
- A45C—PURSES; LUGGAGE; HAND CARRIED BAGS
- A45C13/00—Details; Accessories
- A45C13/18—Devices to prevent theft or loss of purses, luggage or hand carried bags
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- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05B—LOCKS; ACCESSORIES THEREFOR; HANDCUFFS
- E05B49/00—Electric permutation locks; Circuits therefor ; Mechanical aspects of electronic locks; Mechanical keys therefor
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- 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
- G07C9/00—Individual registration on entry or exit
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- 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
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
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- 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
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
Definitions
- the present invention relates to the field of luggage technology, and in particular, to a smart luggage based on face recognition.
- the luggage box is mostly protected by an electronic code lock.
- the protection principle of the electronic combination lock is usually that the user inputs a preset number or symbol into the microprocessor that controls the electronic password lock in the trunk for the microprocessor to recognize the identity, but the password is easily recognized by the simple password. Security is not high.
- the embodiment of the invention provides a smart bag based on face recognition, comprising a bag body, wherein the bag body is provided with a microprocessor, an electronic code lock, a touch LCD screen and a camera, the electronic code lock, the touch
- the control liquid crystal screen and the camera are both connected to a microprocessor; the microprocessor stores a human face reference image; the camera is configured to acquire a face image and send the acquired face image to the microprocessor,
- the microprocessor unlocks the touched LCD screen when it is determined that the face image acquired by the camera is the same person as the face reference image previously stored by the microprocessor. After the touch screen is unlocked, the user inputs an unlock password to the microprocessor through the touch screen, and the microprocessor turns on the electronic code lock.
- the microprocessor includes a storage module and a processing module connected to the storage module, wherein the storage module stores a face reference image, and the processing module is configured to compare the face image acquired by the camera with Whether the face reference image stored in advance in the storage module is the same person, and the locked touch liquid crystal screen is unlocked when the comparison result is the same person.
- the microprocessor further includes an image setting module connected to the processing module, the image setting module is configured to set a face reference image stored in the storage module, the image setting The module is shown in the form of an identifier in the liquid crystal touch screen.
- the microprocessor further includes an unlocking module connected to the processing module, the storage module further storing an unlocking password, and the unlocking module is shown in the form of an identifier on the liquid crystal touch screen.
- the unlocking module is configured to: the user inputs an unlocking password and transmits an unlocking password input by the user to the processing module, and the processing module determines whether the input unlocking password is the same as the unlocking password pre-stored in the storage module, and When the two are the same, the electronic code lock is opened.
- the microprocessor further includes a password setting module connected to the processing module, the password setting module is shown in the form of an identifier in the liquid crystal touch screen, and the password setting module
- the unlocking password is used for the user to set the electronic password lock and transmits the set unlocking password to the processing module, and the processing module stores the set unlocking password in the storage module.
- the method further includes an air quality monitoring module and a health air indicator, wherein the air quality monitoring module and the health air indicator are both connected to the microprocessor, and the air quality monitoring module is configured to collect current air quality information.
- the collected current air quality information is transmitted to the processing module, and the processing module controls the opening and closing of the health air indicator according to the current air quality information collected by the air quality monitoring module.
- the microprocessor further includes an air quality information acquiring module connected to the processing module, the air quality information acquiring module is shown in the form of an identifier in the liquid crystal touch screen, the air quality
- the information acquisition module is configured to enable the user to input an instruction to turn on the air quality monitoring module to enable the air quality monitoring module, where the storage module stores a healthy air index, and the air quality monitoring module collects the current current after being turned on.
- the processing module sends the air quality information to the processing module, and the processing module displays the current air quality information on the touch liquid crystal screen, and determines that the current air quality information does not reach the healthy air index, the processing module uses the healthy air.
- the indicator light is on.
- the face recognition-based smart bag further includes a wake-up module, and the wake-up module is connected to the microprocessor, and is configured to output, to the microprocessor, the camera and the touch screen. Wake up signal.
- the wake-up module includes an operation button disposed on the body of the luggage.
- the smart box based on face recognition of the present invention uses the face recognition technology to turn on the touch screen, and starts the electronic code lock by using the input unlock password after the touch screen is turned on.
- the double protection of the smart luggage can effectively solve the problem that the security of the simple password is not high when the luggage of the prior art is identified by the password.
- FIG. 1 is a schematic block diagram of a smart bag based on face recognition according to the present invention.
- FIG. 2 is a block diagram of the microprocessor of Figure 1.
- an embodiment of the present invention provides a smart bag based on face recognition, which includes a bag body (not shown).
- the bag body is provided with a microprocessor 1, an electronic code lock 2, and a touch. LCD screen 3 and camera 4.
- the electronic code lock 2, the touch liquid crystal screen 3, and the camera 4 are all connected to the microprocessor 1.
- the microprocessor 1 stores a human face reference image. It can be understood that the pre-stored face reference image is a face image of the luggage owner.
- the camera 4 is configured to acquire a face image and send the acquired face image to the microprocessor 1.
- the locked touch screen 3 is unlocked. After the touch screen 3 is unlocked, the user inputs an unlock password to the microprocessor 1 through the touch screen 3, and the microprocessor 1 turns on the electronic code lock 2. It should be noted that when the touch liquid crystal screen 3 is not touched within the set time, the microprocessor 1 will output a lock screen control signal to lock the touch liquid crystal screen 3 to prevent misoperation.
- the technology is in the field. Conventional techniques will not be described here.
- the microprocessor 1 includes a storage module 11 and a processing module 12 connected to the storage module 11, wherein the storage module 11 stores a face reference image, and the processing module 12 is used to unlock the touch liquid crystal screen 3 .
- the processing module 12 compares whether the face image acquired by the camera 4 and the face reference image stored in the storage module 11 are the same person, and outputs when the comparison result is the same person. Release the screen lock signal to unlock the touch LCD screen 3.
- the microprocessor 1 further includes an image setting module 13 connected to the processing module 12, and the image setting module 13 is configured to set a face reference image stored in the storage module 11.
- the image setting module 13 is shown in the form of an identifier in the touch liquid crystal panel 3. After the touch liquid crystal screen 3 is unlocked, the user clicks on the representative image setting module 13 displayed in the touch liquid crystal screen 3. The identifier of the image setting module 13 is turned on, and the image setting module 13 turns on the camera 4 to obtain a reference image of the face, The face reference image is then sent to the processing module 12 for storage in the storage module 11.
- the microprocessor 1 further includes an unlocking module 14 connected to the processing module 12, the storage module 11 further stores an unlocking password, and the unlocking module 14 is configured for the user to input the unlocking password and transmit the unlocking password input by the user to
- the processing module 12 determines whether the input unlock password is the same as the unlock password pre-stored in the storage module 11, and when the two are the same, the processing module 12 turns the electronic password lock 2 on.
- the unlocking module 14 is shown in the form of an identifier in the touch liquid crystal panel 3. After the touch liquid crystal screen 3 is unlocked, the user clicks on the identifier of the representative unlocking module 14 displayed in the touch liquid crystal screen 3.
- the unlocking module 14 is turned on, and after the unlocking module 14 is turned on, for example, a password input keyboard is further displayed on the touch liquid crystal screen 3. At this time, the user can input the unlocking password through the password input keyboard. It can be understood that after the user clicks the unlocking module 14, the unlocking module 14 first issues an unlocking command to the processing module 12, and the processing module 12 controls the unlocking module 14 to display on the touchscreen 3 in the form of an input interface. For example, if there is a password input keyboard, the user can input the unlock password through the password input keyboard.
- the microprocessor 1 further includes a password setting module 15, the password setting module 15 is connected to the processing module 12, and the password setting module 15 is configured for the user to set the unlocking of the electronic password lock 2.
- the password and the set unlock password are transmitted to the processing module 12, and the processing module 12 stores the set unlock password in the storage module 11 and overwrites the previously stored unlock password in the storage module 11.
- the password setting module 15 is shown in the form of an identifier on the touch liquid crystal screen 3. After the touch liquid crystal screen 3 is unlocked, the user clicks the representative open password setting module displayed on the touch liquid crystal screen 3. The identifier of 15 is used to set a new unlock password.
- the new unlock password is transmitted to the processing module 12 through the password setting module 15, and then the processing module 12 stores the new unlock password in the storage module 11 while the new unlock password is stored.
- the unlock password that was previously stored in module 11 is overwritten. It can be understood that, after the user clicks the password setting module 15, the password setting module 15 first sends out a The unlocking password command is set to the processing module 12, and the processing module 12 controls the password setting module 15 to display on the touch screen 3 in the form of an input interface.
- the input interface has a password input keyboard, and the user can input the keyboard through the password. To enter a new unlock password.
- the face recognition-based smart bag of the present invention further includes an air quality monitoring module 6 and a health air indicator lamp 7, and the air quality monitoring module 6 and the health air indicator lamp 7 are both connected to the microprocessor 1, and the air
- the quality monitoring module 6 is configured to collect the current air quality information and transmit the collected current air quality information to the processing module 12, and the processing module 12 controls the opening of the health air indicator 7 according to the current air quality information collected by the air quality monitoring module 6.
- the current air quality information is displayed on the touch liquid crystal panel 3 while being turned off.
- the microprocessor 1 further includes an air quality information acquiring module 16 connected to the processing module 12, and the air quality information acquiring module 16 is shown in the form of an identifier in the touch liquid crystal panel 3, and the air quality information acquiring module 16 is used.
- the air quality monitoring module 6 is turned on by the processing module 12 to open the air quality monitoring module 6 for the user to input the air quality monitoring module 6.
- the air quality monitoring module 6 collects the current air quality monitoring module.
- the air quality information is transmitted to the processing module 12, and the processing module 12 displays the current air quality information on the touch liquid crystal screen 3, and the processing module 12 determines that the current air quality information does not reach the healthy air index.
- the health air indicator 7 is turned on to remind the user that the current air does not reach the healthy air index.
- the air quality information acquiring module 16 first sends an instruction to obtain the air quality information to the processing module 12, and the processing module 12 turns on the air quality monitoring module 6, and the processing module 12
- the control air quality information acquisition module 16 is displayed on the touch liquid crystal screen 3 in the form of an air quality display interface.
- the air quality monitoring module 6 collects the current air quality information and sends it to the processing module 12, and the processing module 12 displays the current air quality information to the air.
- the processing module 12 does not reach the air quality information at the same time.
- the Air Index is displayed, the health air indicator 7 is turned on to remind the user that the current air does not reach the healthy air index.
- the air quality monitoring module 6 includes, for example, a PM2.5 sensor, a smoke sensor, a carbon monoxide sensor, a carbon dioxide sensor, and a formaldehyde sensor to collect PM2.5 information, smoke information, carbon monoxide information, and carbon dioxide information in ambient air. And formaldehyde information.
- the microprocessor 1 is installed with APP software, for example, and the APP software has a face reference image setting, an electronic password lock unlocking, an unlocking password setting of an electronic password lock, and an air quality information acquiring function, so that the microprocessor 1
- the utility model has the face reference image setting, the electronic code lock unlocking, the unlocking password setting of the electronic code lock and the air quality information acquiring function, in other words, the image setting module 13 and the unlocking module included in the microprocessor 1. 14.
- the password setting module 15 and the air quality information obtaining module 16 can be formed by dividing the APP software.
- the APP software is shown on the touch liquid crystal screen 3, and the image setting module 13, the unlocking module 14, the password setting module 15, and the air quality information acquiring module 16 will be in the form of identifiers on the operation interface of the APP software. Appears and is shown on the touch screen 3 .
- the APP software may be first opened, and the operation interface of the APP software is displayed on the touch screen 3, and the identifier of the representative image setting module 13 is displayed on the operation interface of the APP software, and the unlocking module 14 is represented.
- the identifier, the identifier of the representative password setting module 15, and the identifier representing the air quality information acquiring module 16 the user clicking the corresponding identifier, the microprocessor 1 executes the function represented by the identifier.
- the face recognition-based smart bag of the present invention further includes a wake-up module 5, and the wake-up module 5 is connected to the microprocessor 1 for outputting the wake-up camera 4 and the touch liquid crystal screen 3 to the microprocessor 1.
- Wake up signal It can be understood that after the touch liquid crystal screen 3 is locked, the touch liquid crystal screen 3 and the camera 4 are in a sleep state, and the user outputs the wake-up of the wake-up camera 4 and the touch liquid crystal screen 3 to the microprocessor 1 through the wake-up module 5. Signal, the microprocessor 1 wakes up the camera 4 and the touch screen 3 The user is enabled to distinguish facial feature information, and the touch LCD panel 3 is unlocked for subsequent operations.
- the wake-up module 5 includes an operation button disposed on the main body of the luggage, and the user can input a wake-up signal by operating the button.
- the smart box based on face recognition of the invention uses the face recognition technology to open the touch screen 3, and after the touch screen 3 is turned on, the electronic password lock 2 is started by using an input unlocking password, and the smart box is formed. Double protection can effectively solve the problem that the luggage in the prior art is easy to be identified by the password, and the security of the simple password is not high.
Abstract
Description
Claims (9)
- 一种基于人脸识别的智能箱包,其特征在于,包括箱包主体,所述箱包主体上设置有微处理器(1)、电子密码锁(2)、触控液晶屏(3)及摄像头(4),所述电子密码锁(2)、所述触控液晶屏(3)及所述摄像头(4)均与微处理器(1)连接;所述微处理器(1)存储有人脸参照图像;所述摄像头(4)用于获取人脸图像并将获取的人脸图像发送至所述微处理器(1),所述微处理器(1)在判断出所述摄像头(4)获取的人脸图像与所述微处理器(1)预先存储的人脸参照图像为同一人时将被锁定的所述触控液晶屏(3)解除锁定,在所述触控液晶屏(3)被解除锁定后,用户通过所述触控液晶屏(3)输入开锁密码至所述微处理器(1),所述微处理器(1)将所述电子密码锁(2)开启。
- 根据权利要求1所述的基于人脸识别的智能箱包,其特征在于,所述微处理器(1)包括存储模块(11)及与所述存储模块(11)连接的处理模块(12),其中,所述存储模块(11)存储人脸参照图像,所述处理模块(12)用于比较所述摄像头(4)获取的人脸图像与所述存储模块(11)中预先存储的人脸参照图像是否为同一人,并在对比结果为同一人时将被锁定的所述触控液晶屏(3)解除锁定。
- 根据权利要求2所述的基于人脸识别的智能箱包,其特征在于,所述微处理器(1)还包括与所述处理模块(12)连接的图像设定模块(13),所述图像设定模块(13)用于设定存储在所述存储模块(11)内的人脸参照图像,所述图像设定模块(13)以标识符的形式在所述液晶触控屏(3)中示出。
- 根据权利要求2所述的基于人脸识别的智能箱包,其特征在于,所述微处理器(1)还包括与所述处理模块(12)连接的开锁模块(14),所述存储模块(11)还存储有开锁密码,所述开锁模块(14)以标识符的形式在所述液晶触控屏(3)中示出,所述开锁模块(14)用于供用户输入开锁密码并将用户输 入的开锁密码传送至所述处理模块(12),所述处理模块(12)判断输入的开锁密码与所述存储模块(11)中预先存储的开锁密码是否相同,并在两者相同时将所述电子密码锁(2)打开。
- 根据权利要求2所述的基于人脸识别的智能箱包,其特征在于,所述微处理器(1)还包括与所述处理模块(12)连接的密码设定模块(15),所述密码设定模块(15)以标识符的形式在所述液晶触控屏(3)中示出,所述密码设定模块(15)用于供用户设定电子密码锁(2)的开锁密码并将设定的开锁密码传送至所述处理模块(12),所述处理模块(12)将设定的开锁密码存储在所述存储模块(11)中。
- 根据权利要求2所述的基于人脸识别的智能箱包,其特征在于,还包括空气质量监测模块(6)及健康空气指示灯(7),所述空气质量监测模块(6)与所述健康空气指示灯(7)均与所述微处理器(1)连接,所述空气质量监测模块(6)用于采集当前空气质量信息并将采集到的当前空气质量信息传送至所述处理模块(12),所述处理模块(12)将当前空气质量信息显示在触控液晶屏(3)上,同时根据空气质量监测模块(6)采集到的当前空气质量信息控制健康空气指示灯(7)的开启与关闭。
- 根据权利要求6所述的基于人脸识别的智能箱包,其特征在于,所述微处理器(1)还包括与所述处理模块(12)连接的空气质量信息获取模块(16),所述空气质量信息获取模块(16)以标识符的形式在所述液晶触控屏(3)中示出,所述空气质量信息获取模块(16)用于供用户输入开启所述空气质量监测模块(6)的指令开启所述空气质量监测模块(6),所述存储模块(11)中存储有健康空气指数,所述空气质量监测模块(6)在开启后将采集到的当前空气质量信息传送至所述处理模块(12),所述处理模块(12)判断出当前空气质量信 息未达到健康空气指数时,所述处理模块(12)将所述健康空气指示灯(7)开启。
- 根据权利要求1所述的基于人脸识别的智能箱包,其特征在于,所述基于人脸识别的智能箱包还包括唤醒模块(5),所述唤醒模块(5)与所述微处理器(1)连接,用于向所述微处理器(1)输出唤醒所述摄像头(4)及所述触控液晶屏(3)的唤醒信号。
- 根据权利要求8所述的基于人脸识别的智能箱包,其特征在于,所述唤醒模块(5)包括设置于所述箱包主体上的操作按钮。
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