CN110472463A - Automate face recognition platform - Google Patents

Automate face recognition platform Download PDF

Info

Publication number
CN110472463A
CN110472463A CN201910051671.3A CN201910051671A CN110472463A CN 110472463 A CN110472463 A CN 110472463A CN 201910051671 A CN201910051671 A CN 201910051671A CN 110472463 A CN110472463 A CN 110472463A
Authority
CN
China
Prior art keywords
face recognition
equipment
humidity
currently used
suspension pin
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910051671.3A
Other languages
Chinese (zh)
Inventor
廖树林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201910051671.3A priority Critical patent/CN110472463A/en
Publication of CN110472463A publication Critical patent/CN110472463A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/04817Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • G06F3/04845Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Multimedia (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

The present invention relates to a kind of automation face recognition platforms, comprising: front end capture device is arranged in the front panel of tablet computer, carries out image data capture for the user to front end, to obtain and export corresponding front user images;Face recognition equipment is located near the front end capture device, connect with the front end capture device, for executing face feature identification processing to the front user images, to obtain corresponding address name;It shows switching equipment, is arranged in the front panel of tablet computer, is connect with the face recognition equipment.Automation face recognition platform safety of the invention is reliable, is easy to use.Due to only showing each APP icon relevant to the user on tablet computer based on current user information, so as to effectively safeguard the individual privacy of each tablet computer user.

Description

Automate face recognition platform
Technical field
The present invention relates to face recognition field more particularly to a kind of automation face recognition platforms.
Background technique
Face recognition is also known as recognition of face, face recognizing, face identification etc., and face recognition is made using general video camera For identification information acquisition device.The face image of identification object is obtained in a non-contact manner, and computer system is obtaining image Identification process is completed after being compared afterwards with database images.
Face recognition is the identification method based on biological characteristic, compared with traditional identification method such as fingerprint recognition, is had In real time, accurately, in high precision, easy to use, stability is high, hardly possible is counterfeit, cost performance is high and it is non-invade and harass etc. characteristics, be easier to by user Receive.
Summary of the invention
According to an aspect of the present invention, a kind of automation face recognition platform is provided, the platform includes: front end capture Equipment is arranged in the front panel of tablet computer, carries out image data capture for the user to front end, to obtain simultaneously output phase The front user images answered;Face recognition equipment is located near the front end capture device, connects with the front end capture device It connects, for executing face feature identification processing to the front user images, to obtain corresponding address name;Display switching is set It is standby, it is arranged in the front panel of tablet computer, is connect with the face recognition equipment, for receiving the address name, and Each APP icon corresponding with the address name is only shown on tablet computer;Pin psychrometrc analysis equipment, respectively with face Identification apparatus, display switching equipment are connected with the not currently used suspension pin of front end capture device, to obtain face recognition The current humidity of the not currently used suspension pin of equipment, show switching equipment not currently used suspension pin it is current The current humidity of the not currently used suspension pin of humidity and front end capture device;Embeded processor is wet with the pin Spend analytical equipment connection, the current humidity of the not currently used suspension pin for receiving face recognition equipment, display switching The not currently used suspension pin of the current humidity and front end capture device of the not currently used suspension pin of equipment is worked as Preceding humidity, and to the current humidity of the not currently used suspension pin of face recognition equipment, display switching equipment it is current not The current humidity of the not currently used suspension pin of the current humidity and front end capture device of the suspension pin used, which executes, to be added Mean operation is weighed to obtain low reference pin humidity;SDRAM storage chip, for not making currently for face recognition equipment to be stored in advance Suspend the current humidity of pin, the current humidity for the not currently used suspension pin for showing switching equipment and front end capture The current humidity of the not currently used suspension pin of equipment participates in three weighted values of weighted mean operation respectively;Liquid crystal display Screen, connect with the embeded processor, for receiving the silicon wafer entity humidity of the face recognition equipment, and instant playback and The corresponding character string of silicon wafer entity humidity of the face recognition equipment;MMC stores equipment, connect with command analysis equipment, uses In the default processing speed range that face recognition equipment is stored in advance, the default processing speed range is by upper limit value and lower limit value Composition;Parameter extraction equipment is connect with face recognition equipment, for checking the current data processing rate of face recognition equipment, To be exported as currently processed rate;Command analysis equipment is connect with the parameter extraction equipment, for described currently processed When rate is lower than the lower limit value of the default processing speed range of face recognition equipment, the sluggish order of processing is issued, otherwise, at sending Manage normal command;Utilization rate analytical equipment is connect with the command analysis equipment, for receiving the sluggish order of the processing When, the memory usage of face recognition equipment is checked, is exported inspection result as the first utilization rate.
The present invention at least has inventive point important at following three:
(1) each APP icon relevant to the user is only shown on tablet computer based on current user information, from And protect the privacy of each user;
(2) determined whether according to the data processing rate of face recognition equipment in itself and the execution of data relevant device Utilization rate inspection is deposited, to realize the analysis and positioning to failure based on data flow;
(3) the entity Humidity Detection mode that customization has been built for the too small equipment of shape, is avoiding equipment entity from being inserted Enter special Humidity Detection equipment and easily it is impaired simultaneously, reduce the quantity and cost of equipment.
Automation face recognition platform safety of the invention is reliable, is easy to use.Due to being put down based on current user information Each APP icon relevant to the user is shown on plate computer, only so as to effectively safeguard each tablet computer user Individual privacy.
Specific embodiment
The embodiment of automation face recognition platform of the invention will be described in detail below.
One icon is a small picture or object, represents a file, program, webpage, or order.Icon facilitates The order of user's quick execution and opening program file.Icon is clicked or double-clicked to execute an order.Icon is also used for browsing Quickly show content in device.All files using identical extension name icon having the same.
Icon has standard set size and an attribute format, and usually small size.Each icon contains multiple phases With the picture of display content, each picture is had different sizes and color development number.One icon is exactly a set of similar picture, Each picture has different formats.Say that icon is three-dimensional from this point on.There are also another characteristics for icon: he contains transparent Region can appear the desktop background under icon in transparent region.In structure icon in fact with the giant Chinese of McDonald Fort is similar.
One icon is actually the aggregate of the picture of multiple different-formats, and further comprises certain clear area Domain.Because the diversity of computer operating system and display equipment, the size for resulting in icon need multiple format.
In the prior art, APP icon, that is, application icon lacks necessary security management mechanism, can not be used based on current Family information only shows each APP icon relevant to the user on tablet computer, to be easy each user's of leakage Privacy, therefore, it is necessary to the administrative mechanisms that a kind of pair of APP icon is oriented protection.
In order to overcome above-mentioned deficiency, the present invention has built a kind of automation face recognition platform, can effectively solve the problem that corresponding The technical issues of.
The automation face recognition platform shown according to an embodiment of the present invention includes:
Front end capture device, is arranged in the front panel of tablet computer, carries out image data for the user to front end and catches It obtains, to obtain and export corresponding front user images;
Face recognition equipment is located near the front end capture device, connect with the front end capture device, for institute It states front user images and executes face feature identification processing, to obtain corresponding address name;
It shows switching equipment, is arranged in the front panel of tablet computer, is connect with the face recognition equipment, for receiving The address name, and each APP icon corresponding with the address name is only shown on tablet computer;
Pin psychrometrc analysis equipment, it is current with face recognition equipment, display switching equipment and front end capture device respectively Not used suspension pin connection, to obtain current humidity, the display of the not currently used suspension pin of face recognition equipment The current humidity of the not currently used suspension pin of switching equipment and the not currently used suspension pin of front end capture device Current humidity;
Embeded processor is connect with the pin psychrometrc analysis equipment, for receive face recognition equipment it is current not The current humidity of the suspension pin used, the current humidity of the not currently used suspension pin of display switching equipment and front end are caught The current humidity of the not currently used suspension pin of equipment is obtained, and to the not currently used suspension pin of face recognition equipment Current humidity, show switching equipment not currently used suspension pin current humidity and front end capture device it is current not The current humidity of the suspension pin used executes weighted mean operation to obtain low reference pin humidity;
SDRAM storage chip, for be stored in advance face recognition equipment not currently used suspension pin it is current wet Degree, the current humidity of not currently used suspension pin of display switching equipment and the not currently used of front end capture device are hanged The current humidity for setting pin participates in three weighted values of weighted mean operation respectively;
Liquid crystal display is connect with the embeded processor, for receiving the silicon wafer entity of the face recognition equipment Humidity, and instant playback character string corresponding with the silicon wafer entity humidity of the face recognition equipment;
MMC stores equipment, connect with command analysis equipment, for the default processing speed of face recognition equipment to be stored in advance Range, the default processing speed range are made of upper limit value and lower limit value;
Parameter extraction equipment is connect with face recognition equipment, for checking the current data processing speed of face recognition equipment Rate, to be exported as currently processed rate;
Command analysis equipment is connect with the parameter extraction equipment, for distinguishing in the currently processed rate lower than face When knowing the lower limit value of the default processing speed range of equipment, the sluggish order of processing is issued, otherwise, issues processing normal command;
Utilization rate analytical equipment is connect with the command analysis equipment, for when receiving the sluggish order of the processing, The memory usage of face recognition equipment is checked, is exported inspection result as the first utilization rate.
Then, continue that the specific structure of automation face recognition platform of the invention is further detailed.
In the automation face recognition platform:
The embeded processor is also used to the low reference pin humidity of acquisition multiplied by tradeoff factor to obtain face recognition The silicon wafer entity humidity of equipment.
In the automation face recognition platform:
The utilization rate analytical equipment is also used to when receiving the processing sluggishness order, according to the currently processed speed The size of the absolute value of rate and the difference of the lower limit value determines the quantity for executing the data relevant device of trouble shooting.
In the automation face recognition platform:
The data relevant device is the equipment for carrying out data interaction with face recognition equipment, and the determination is performed event The quantity for hindering the data relevant device checked is one or more.
In the automation face recognition platform:
It includes: to each data phase that the utilization rate analytical equipment, which executes trouble shooting to each data relevant device, The memory usage for closing equipment is checked that export inspection result as the second utilization rate, the quantity of the second utilization rate is It is one or more.
In the automation face recognition platform:
The MMC storage equipment is also used to save between the size of the absolute value and the quantity of the data relevant device Corresponding relationship.
In the automation face recognition platform:
The SDRAM storage chip is connect with the embeded processor, for the tradeoff factor to be stored in advance.
In the automation face recognition platform:
In the SDRAM storage chip, the current humidity of the not currently used suspension pin of face recognition equipment is shown Show that the not currently used suspension of the current humidity and front end capture device of the not currently used suspension pin of switching equipment is drawn Three weighted values that the current humidity of foot participates in weighted mean operation respectively are of different sizes.
In the automation face recognition platform further include:
WIFI communication interface is connect with the face recognition equipment, for receiving the address name, and by the user Name is transmitted to neighbouring wireless router.
In addition, SDRAM:Synchronous Dynamic Random Access Memory, synchronous dynamic random storage Device synchronizes and refers to memory need of work synchronised clock, and the transmission of internal order and the transmission of data are all on the basis of him;Dynamically Refer to that storage array needs continuous refresh to guarantee that data are not lost;Refer to that data do not store successively not instead of linearly at random, Address is freely specified to carry out reading and writing data.The clock frequency of SDR SDRAM is exactly the frequency of data storage.The work electricity of SDRAM Pressure is 3.3V.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example Point is included at least one embodiment or example of the invention.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or Implicitly include at least one this feature.
Although the present invention is disclosed as above with embodiment, it is not intended to limit the invention, any technical field Those of ordinary skill should can make change appropriate and same replacement without departing from the spirit and scope of the present invention. Therefore protection scope of the present invention should be subject to the range that the claim of this application defined.

Claims (9)

1. a kind of automation face recognition platform characterized by comprising
Front end capture device, is arranged in the front panel of tablet computer, carries out image data capture for the user to front end, with It obtains and exports corresponding front user images;
Face recognition equipment is located near the front end capture device, connect with the front end capture device, is used for before described Square user images execute face feature identification processing, to obtain corresponding address name;
It shows switching equipment, is arranged in the front panel of tablet computer, is connect with the face recognition equipment, it is described for receiving Address name, and each APP icon corresponding with the address name is only shown on tablet computer;
Pin psychrometrc analysis equipment does not make with the current of face recognition equipment, display switching equipment and front end capture device respectively Suspension pin connection, to obtain current humidity, the display switching of the not currently used suspension pin of face recognition equipment The not currently used suspension pin of the current humidity and front end capture device of the not currently used suspension pin of equipment is worked as Preceding humidity;
Embeded processor is connect with the pin psychrometrc analysis equipment, is not used for receiving the current of face recognition equipment Suspension pin current humidity, show switching equipment not currently used suspension pin current humidity and front end capture set The current humidity of standby not currently used suspension pin, and working as to the not currently used suspension pin of face recognition equipment Preceding humidity shows that the current humidity of not currently used suspension pin of switching equipment and the current of front end capture device are not used Suspension pin current humidity execute weighted mean operation to obtain low reference pin humidity;
SDRAM storage chip, the current humidity of the not currently used suspension pin for face recognition equipment to be stored in advance are shown Show that the not currently used suspension of the current humidity and front end capture device of the not currently used suspension pin of switching equipment is drawn The current humidity of foot participates in three weighted values of weighted mean operation respectively;
Liquid crystal display is connect with the embeded processor, for receiving the silicon wafer entity humidity of the face recognition equipment, And instant playback character string corresponding with the silicon wafer entity humidity of the face recognition equipment;
MMC stores equipment, connect with command analysis equipment, for the default processing speed model of face recognition equipment to be stored in advance It encloses, the default processing speed range is made of upper limit value and lower limit value;
Parameter extraction equipment is connect with face recognition equipment, for checking the current data processing rate of face recognition equipment, with It is exported as currently processed rate;
Command analysis equipment is connect with the parameter extraction equipment, for setting in the currently processed rate lower than face recognition When the lower limit value of standby default processing speed range, the sluggish order of processing is issued, otherwise, issues processing normal command;
Utilization rate analytical equipment is connect with the command analysis equipment, for when receiving the sluggish order of the processing, to face The memory usage of portion's identification apparatus is checked, is exported inspection result as the first utilization rate.
2. automation face recognition platform as described in claim 1, it is characterised in that:
The embeded processor is also used to the low reference pin humidity of acquisition multiplied by tradeoff factor to obtain face recognition equipment Silicon wafer entity humidity.
3. automation face recognition platform as claimed in claim 2, it is characterised in that:
The utilization rate analytical equipment is also used to when receiving the sluggish order of the processing, according to the currently processed rate with The size of the absolute value of the difference of the lower limit value determines the quantity for executing the data relevant device of trouble shooting.
4. automation face recognition platform as claimed in claim 3, it is characterised in that:
The data relevant device is the equipment for carrying out data interaction with face recognition equipment, and the determination is performed failure inspection The quantity for the data relevant device looked into is one or more.
5. automation face recognition platform as claimed in claim 4, it is characterised in that:
It includes: to set to each data correlation that the utilization rate analytical equipment, which executes trouble shooting to each data relevant device, Standby memory usage is checked, is exported inspection result as the second utilization rate, and the quantity of the second utilization rate is one Or it is multiple.
6. automation face recognition platform as claimed in claim 5, it is characterised in that:
The MMC storage equipment is also used to save pair between the size of the absolute value and the quantity of the data relevant device It should be related to.
7. automation face recognition platform as claimed in claim 6, it is characterised in that:
The SDRAM storage chip is connect with the embeded processor, for the tradeoff factor to be stored in advance.
8. automation face recognition platform as claimed in claim 7, it is characterised in that:
In the SDRAM storage chip, the current humidity of the not currently used suspension pin of face recognition equipment, display are cut The not currently used suspension pin of the current humidity and front end capture device of the not currently used suspension pin of exchange device Three weighted values that current humidity participates in weighted mean operation respectively are of different sizes.
9. automation face recognition platform as claimed in claim 8, which is characterized in that the platform further include:
WIFI communication interface is connect with the face recognition equipment, for receiving the address name, and by the address name It is transmitted to neighbouring wireless router.
CN201910051671.3A 2019-01-21 2019-01-21 Automate face recognition platform Pending CN110472463A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910051671.3A CN110472463A (en) 2019-01-21 2019-01-21 Automate face recognition platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910051671.3A CN110472463A (en) 2019-01-21 2019-01-21 Automate face recognition platform

Publications (1)

Publication Number Publication Date
CN110472463A true CN110472463A (en) 2019-11-19

Family

ID=68506651

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910051671.3A Pending CN110472463A (en) 2019-01-21 2019-01-21 Automate face recognition platform

Country Status (1)

Country Link
CN (1) CN110472463A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205384484U (en) * 2016-03-07 2016-07-13 佳木斯大学 Anti -interference four ways humidity detects transmission circuit
CN106127002A (en) * 2016-06-21 2016-11-16 京东方科技集团股份有限公司 Display packing and display system
CN106681572A (en) * 2015-11-05 2017-05-17 阿里巴巴集团控股有限公司 Touch screen control method and device of intelligent terminal
US20180144151A1 (en) * 2015-12-15 2018-05-24 International Business Machines Corporation Controlling privacy in a face recognition application
CN109144820A (en) * 2018-08-31 2019-01-04 新华三信息安全技术有限公司 A kind of detection method and device of abnormal host

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106681572A (en) * 2015-11-05 2017-05-17 阿里巴巴集团控股有限公司 Touch screen control method and device of intelligent terminal
US20180144151A1 (en) * 2015-12-15 2018-05-24 International Business Machines Corporation Controlling privacy in a face recognition application
CN205384484U (en) * 2016-03-07 2016-07-13 佳木斯大学 Anti -interference four ways humidity detects transmission circuit
CN106127002A (en) * 2016-06-21 2016-11-16 京东方科技集团股份有限公司 Display packing and display system
CN109144820A (en) * 2018-08-31 2019-01-04 新华三信息安全技术有限公司 A kind of detection method and device of abnormal host

Similar Documents

Publication Publication Date Title
US5629857A (en) Method and system for indicating a status of a circuit design
KR102173123B1 (en) Method and apparatus for recognizing object of image in electronic device
CN108388496A (en) A kind of collection method of system log
CN107622483A (en) A kind of image combining method and terminal
CN109063695A (en) A kind of face critical point detection method, apparatus and its computer storage medium
CN102521537A (en) Detection method and device for hidden process based on virtual machine monitor
CN105825535B (en) A kind of figure layer merging method and system
CN109800022B (en) Method, system, terminal and storage medium for automatically comparing BIOS information difference
CN103777971A (en) Electronic device, method for updating firmware, and recording medium capable of being read by computer
CN109145760A (en) Intelligence fills out single method, apparatus, computer equipment and storage medium
CN107870856A (en) Video playback starting duration method of testing, device and electric terminal
US8132109B2 (en) Webpage magnifier/formatter using CSS properties and cursor/mouse location
KR20180121273A (en) Method for outputting content corresponding to object and electronic device thereof
CN112202628A (en) WiFi module serial port protocol automatic test system and method
CN109871205B (en) Interface code adjustment method, device, computer device and storage medium
KR102303206B1 (en) Method and apparatus for recognizing object of image in electronic device
CN110472463A (en) Automate face recognition platform
CN104750600A (en) Equipment state recording method and equipment state recording system
CN109375874A (en) A kind of call method of distributed storage, device and equipment
CN111274602B (en) Image characteristic information replacement method, device, equipment and medium
CN108021478B (en) Robustness testing method for graphics processor
EP3073360B1 (en) Multi-media data backup method, user terminal and synchronizer
CN111460857A (en) Automatic face identification method
CN109344032A (en) A kind of monitoring method and device
CN105677175B (en) A kind of localization method and device of terminal applies

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
DD01 Delivery of document by public notice
DD01 Delivery of document by public notice

Addressee: Zhao Wensheng

Document name: Notice of Priority in Review Procedure

RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20191119