CN104603790A - Intelligent mobile terminal scanning method and system - Google Patents
Intelligent mobile terminal scanning method and system Download PDFInfo
- Publication number
- CN104603790A CN104603790A CN201580000006.1A CN201580000006A CN104603790A CN 104603790 A CN104603790 A CN 104603790A CN 201580000006 A CN201580000006 A CN 201580000006A CN 104603790 A CN104603790 A CN 104603790A
- Authority
- CN
- China
- Prior art keywords
- picture
- axis coordinate
- vein
- standard
- mid point
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V40/14—Vascular patterns
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Collating Specific Patterns (AREA)
- Image Analysis (AREA)
- Telephone Function (AREA)
Abstract
The invention is adaptive to the field of electronic communication and provides an intelligent mobile terminal scanning method and system. The method comprises the following steps of acquiring a user finger vein picture via mobile terminal far-infrared scanning, comparing the vein picture to a pre-stored standard vein, and determing whether the mobile terminal should be started according to comparision result.The scanning method is advantaged by high identification precision.
Description
Technical field
The invention belongs to electronic communication field, particularly relate to a kind of scan method and system of intelligent mobile terminal.
Background technology
Mobile terminal or make mobile communication terminal refer to the computer equipment that can use in movement, the saying of broad sense comprises mobile phone, notebook, panel computer, POS even comprise vehicle-mounted computer.But refer to mobile phone in most cases or there is smart mobile phone and the panel computer of multiple application function.Intelligent mobile terminal refer to there is system can the terminal device of the corresponding application program of Intelligent Installation, be generally mobile phone and panel computer.
Existing mobile phone and panel computer cannot realize infrared scan; for mobile phone; security is very important; it is not only the security of network; the security used is also extremely important; after having introduced fingerprint identification device from IPONE5s; the safeguard protection of mobile phone is not only realize by password; but the security of fingerprint recognition is still too low; because the precision of fingerprint recognition and reliability cannot ensure; because finger be one than being easier to injured position, so existing intelligent mobile terminal need a kind of brand-new scanning recognition method.
Summary of the invention
Embodiment of the present invention object is the scan method providing a kind of intelligent mobile terminal, solves the problem that the security of prior art is low.
The embodiment of the present invention is achieved in that a kind of scan method of intelligent mobile terminal, and described method comprises:
Mobile terminal infrared scan obtains the vein picture of user's finger;
This vein picture and the standard IV prestored are compared;
Determine whether to open mobile terminal according to comparison result.
Optionally, described this vein picture and the standard IV that prestores are compared for:
Extract the picture that this vein picture switches to N number of appointment size, pre-service is carried out to a N number of appointment size picture, extract N number of appointment size picture, extract f the picture comprising vein in N number of picture, m bar equal space line is arranged to f picture, obtains the X-axis coordinate X of m intersection point of m bar equal space line and vein
fm; Wherein, f represents which width is secondary picture, and m represents the label of intersection point; Obtain the X-axis coordinate of all intersection points in f picture and, as all intersection points X-axis coordinate and with the standard IV picture preset with same or similar, then determine that comparison result is for meeting; Otherwise comparison result does not meet.
Optionally, described all intersection points X-axis coordinate and to being specially with the similar of standard IV picture preset:
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
Then the difference that the X-axis coordinate square of mid point deviation percent=search mid point deducts the X-axis coordinate square of the vein mid point of standard IV picture is multiplied by absolutely divided by the X-axis coordinate square of the vein mid point of standard IV picture; Then the difference deducting all X-axis coordinate sums of standard IV picture with the X-axis coordinate sum of deviation percent=all intersection points is multiplied by absolutely divided by all X-axis coordinate sums of standard IV picture.
As all do not exceeded setting threshold value with deviation percent and mid point deviation percent, then determine similar;
As with deviation percent and mid point deviation percent and in any one exceedes setting threshold value, then determine dissmilarity.
On the other hand, provide a kind of scanning system of intelligent mobile terminal, described system comprises:
Infrared scan unit, obtains the vein picture of user's finger for infrared scan;
Comparing unit, for comparing this vein picture and the standard IV prestored;
Start unit, opens mobile terminal for determining whether according to comparison result.
Optionally, described comparing unit specifically for:
Extract the picture that this vein picture switches to N number of appointment size, pre-service is carried out to a N number of appointment size picture, extract N number of appointment size picture, extract f the picture comprising vein in N number of picture, m bar equal space line is arranged to f picture, obtains the X-axis coordinate X of m intersection point of m bar equal space line and vein
fm; Wherein, f represents which width is secondary picture, and m represents the label of intersection point; Obtain the X-axis coordinate of all intersection points in f picture and, as all intersection points X-axis coordinate and with the standard IV picture preset with same or similar, then determine that comparison result is for meeting; Otherwise comparison result does not meet.
Optionally, described all intersection points X-axis coordinate and to being specially with the similar of standard IV picture preset:
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
Then the difference that the X-axis coordinate square of mid point deviation percent=search mid point deducts the X-axis coordinate square of the vein mid point of standard IV picture is multiplied by absolutely divided by the X-axis coordinate square of the vein mid point of standard IV picture; Then the difference deducting all X-axis coordinate sums of standard IV picture with the X-axis coordinate sum of deviation percent=all intersection points is multiplied by absolutely divided by all X-axis coordinate sums of standard IV picture.
As all do not exceeded setting threshold value with deviation percent and mid point deviation percent, then determine similar;
As with deviation percent and mid point deviation percent and in any one exceedes setting threshold value, then determine dissmilarity.
In embodiments of the present invention, the technical scheme that technical scheme provided by the invention provides provides a kind of brand-new sweeping scheme, it has the advantage of infrared vein identification, compare fingerprint recognition, hand vein recognition has very high reliability, and the stability of vein is also higher than fingerprint a lot, so it has the high advantage of security.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the scan method of a kind of intelligent mobile terminal provided by the invention;
Fig. 2 is the structural drawing of the scanning system of intelligent mobile terminal provided by the invention;
Fig. 3 is the discrimination schematic diagram of method provided by the invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
The specific embodiment of the invention provides a kind of scan method of intelligent mobile terminal, and the method is completed by intelligent mobile terminal, as shown in Figure 1, comprising:
101, mobile terminal infrared scan obtains the vein picture of user's finger;
102, this vein picture and the standard IV that prestores are compared;
103, determine whether to open mobile terminal according to comparison result.
Technical scheme provided by the invention provides a kind of brand-new scan method, vein scanning is increased in mobile terminal by it, and provide a kind of brand-new vein infrared recognizer, this hand vein recognition algorithm has the advantage improving hand vein recognition accuracy rate, so it has the high advantage of security, in addition, vein is unlike fingerprint, it is not easy damage, so its reliability also can improve a lot.
Optionally, the implementation method of above-mentioned 102 is specifically as follows:
Extract the picture that this vein picture switches to N number of appointment size, pre-service is carried out to a N number of appointment size picture, extract N number of appointment size picture, extract f the picture comprising vein in N number of picture, m bar equal space line is arranged to f picture, obtains the X-axis coordinate X of m intersection point of m bar equal space line and vein
fm; Wherein, f represents which width is secondary picture, and m represents the label of intersection point; Obtain the X-axis coordinate of all intersection points in f picture and, as all intersection points X-axis coordinate and with the standard IV picture preset with same or similar, then determine that comparison result is for meeting; Otherwise comparison result does not meet.
The invention provides this scheme can the problem of extraordinary solution picture rotation, because contrast for hand vein recognition, it is when angle is different, the difficulty identified is very large, the change of especially trickle angle is especially large on impact, but the identification of this kind of method can avoid the impact of change on accuracy of identification of microgroove angle, it is especially high for the accuracy of identification of angular deviation within 5 °, so it has the advantage improving accuracy of identification.
The X-axis coordinate of above-mentioned all intersection points and to being specifically as follows with the similar of standard IV picture preset:
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
Then the difference that the X-axis coordinate square of mid point deviation percent=search mid point deducts the X-axis coordinate square of the vein mid point of standard IV picture is multiplied by absolutely divided by the X-axis coordinate square of the vein mid point of standard IV picture; Then the difference deducting all X-axis coordinate sums of standard IV picture with the X-axis coordinate sum of deviation percent=all intersection points is multiplied by absolutely divided by all X-axis coordinate sums of standard IV picture.
As all do not exceeded setting threshold value with deviation percent and mid point deviation percent, then determine similar;
As with deviation percent and mid point deviation percent and in any one exceedes setting threshold value, then determine dissmilarity.
In order to represent recognition performance of the present invention, the method (normalization and bidirectional weighting vein identification method) that the present invention is provided by prior art and method provided by the invention carry out identification comparison, and experimental data is as follows:
Table 1:
After rotating to an angle, such as 5 °, the experimental data of identification is as follows:
Table 2:
Can be seen by the experimental data of table 1, table 2, after rotating to an angle, the method tool that the present invention adopts is significantly improved the advantage of percent of pass, and its percent of pass as shown in Figure 3.
The present invention also provides a kind of scanning system of intelligent mobile terminal, and this system as shown in Figure 2, comprising:
Infrared scan unit 21, obtains the vein picture of user's finger for infrared scan;
Comparing unit 22, for comparing this vein picture and the standard IV prestored;
Start unit 23, opens mobile terminal for determining whether according to comparison result.
Optionally, comparing unit 22 specifically for:
Extract the picture that this vein picture switches to N number of appointment size, pre-service is carried out to a N number of appointment size picture, extract N number of appointment size picture, extract f the picture comprising vein in N number of picture, m bar equal space line is arranged to f picture, obtains the X-axis coordinate X of m intersection point of m bar equal space line and vein
fm; Wherein, f represents which width is secondary picture, and m represents the label of intersection point; Obtain the X-axis coordinate of all intersection points in f picture and, as all intersection points X-axis coordinate and with the standard IV picture preset with same or similar, then determine that comparison result is for meeting; Otherwise comparison result does not meet.
Optionally, described all intersection points X-axis coordinate and to being specially with the similar of standard IV picture preset:
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
Then the difference that the X-axis coordinate square of mid point deviation percent=search mid point deducts the X-axis coordinate square of the vein mid point of standard IV picture is multiplied by absolutely divided by the X-axis coordinate square of the vein mid point of standard IV picture; Then the difference deducting all X-axis coordinate sums of standard IV picture with the X-axis coordinate sum of deviation percent=all intersection points is multiplied by absolutely divided by all X-axis coordinate sums of standard IV picture.
As all do not exceeded setting threshold value with deviation percent and mid point deviation percent, then determine similar;
As with deviation percent and mid point deviation percent and in any one exceedes setting threshold value, then determine dissmilarity.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (6)
1. a scan method for intelligent mobile terminal, is characterized in that, described method comprises:
Mobile terminal infrared scan obtains the vein picture of user's finger;
This vein picture and the standard IV prestored are compared;
Determine whether to open mobile terminal according to comparison result.
2. method according to claim 1, is characterized in that, described this vein picture and the standard IV that prestores are compared for:
Extract the picture that this vein picture switches to N number of appointment size, pre-service is carried out to a N number of appointment size picture, extract N number of appointment size picture, extract f the picture comprising vein in N number of picture, m bar equal space line is arranged to f picture, obtains the X-axis coordinate X of m intersection point of m bar equal space line and vein
fmwherein, f represents which width is secondary picture, and m represents the label of intersection point; Obtain the X-axis coordinate of all intersection points in f picture and, as all intersection points X-axis coordinate and with the standard IV picture preset with same or similar, then determine that comparison result is for meeting; Otherwise comparison result does not meet.
3. method according to claim 2, is characterized in that, the X-axis coordinate of described all intersection points and to being specially with the similar of standard IV picture preset:
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
Then the difference that the X-axis coordinate square of mid point deviation percent=search mid point deducts the X-axis coordinate square of the vein mid point of standard IV picture is multiplied by absolutely divided by the X-axis coordinate square of the vein mid point of standard IV picture; Then the difference deducting all X-axis coordinate sums of standard IV picture with the X-axis coordinate sum of deviation percent=all intersection points is multiplied by absolutely divided by all X-axis coordinate sums of standard IV picture.
As all do not exceeded setting threshold value with deviation percent and mid point deviation percent, then determine similar;
As with deviation percent and mid point deviation percent and in any one exceedes setting threshold value, then determine dissmilarity.
4. a scanning system for intelligent mobile terminal, is characterized in that, described system comprises:
Infrared scan unit, obtains the vein picture of user's finger for infrared scan;
Comparing unit, for comparing this vein picture and the standard IV prestored;
Start unit, opens mobile terminal for determining whether according to comparison result.
5. system according to claim 1, is characterized in that, described comparing unit specifically for:
Extract the picture that this vein picture switches to N number of appointment size, pre-service is carried out to a N number of appointment size picture, extract N number of appointment size picture, extract f the picture comprising vein in N number of picture, m bar equal space line is arranged to f picture, obtains the X-axis coordinate X of m intersection point of m bar equal space line and vein
fm; Wherein, f represents which width is secondary picture, and m represents the label of intersection point; Obtain the X-axis coordinate of all intersection points in f picture and, as all intersection points X-axis coordinate and with the standard IV picture preset with same or similar, then determine that comparison result is for meeting; Otherwise comparison result does not meet.
6. system according to claim 5, is characterized in that, the X-axis coordinate of described all intersection points and to being specially with the similar of standard IV picture preset:
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate of mid point, obtain the X-axis coordinate of standard IV picture vein mid point,
Then the difference that the X-axis coordinate square of mid point deviation percent=search mid point deducts the X-axis coordinate square of the vein mid point of standard IV picture is multiplied by absolutely divided by the X-axis coordinate square of the vein mid point of standard IV picture; Then the difference deducting all X-axis coordinate sums of standard IV picture with the X-axis coordinate sum of deviation percent=all intersection points is multiplied by absolutely divided by all X-axis coordinate sums of standard IV picture.
As all do not exceeded setting threshold value with deviation percent and mid point deviation percent, then determine similar;
As with deviation percent and mid point deviation percent and in any one exceedes setting threshold value, then determine dissmilarity.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2015/070791 WO2016112515A1 (en) | 2015-01-15 | 2015-01-15 | Scanning method and system for smart mobile terminal |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104603790A true CN104603790A (en) | 2015-05-06 |
CN104603790B CN104603790B (en) | 2018-02-02 |
Family
ID=53127897
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201580000006.1A Active CN104603790B (en) | 2015-01-15 | 2015-01-15 | The scan method and system of intelligent mobile terminal |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN104603790B (en) |
WO (1) | WO2016112515A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016112515A1 (en) * | 2015-01-15 | 2016-07-21 | 深圳市三木通信技术有限公司 | Scanning method and system for smart mobile terminal |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201282494Y (en) * | 2008-09-19 | 2009-07-29 | 深圳华为通信技术有限公司 | Mobile terminal with vena recognition function |
CN202520091U (en) * | 2012-02-15 | 2012-11-07 | 上海迪堡安防设备有限公司 | Finger vein identification electronic coded lock |
US20140062658A1 (en) * | 2012-08-31 | 2014-03-06 | Nxp B.V. | Authentication system and authentication method |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101222330A (en) * | 2007-01-09 | 2008-07-16 | 金宝电子工业股份有限公司 | Control module group and method for identity authentication |
JP5292821B2 (en) * | 2008-01-16 | 2013-09-18 | ソニー株式会社 | Vein image acquisition device and vein image acquisition method |
CN201349235Y (en) * | 2008-12-22 | 2009-11-18 | 康佳集团股份有限公司 | Mobile phone with venous recognition function |
CN103646203A (en) * | 2013-12-20 | 2014-03-19 | 中晟国计科技有限公司 | Computer safety system with human body biological characteristic recognition |
WO2016112515A1 (en) * | 2015-01-15 | 2016-07-21 | 深圳市三木通信技术有限公司 | Scanning method and system for smart mobile terminal |
-
2015
- 2015-01-15 WO PCT/CN2015/070791 patent/WO2016112515A1/en active Application Filing
- 2015-01-15 CN CN201580000006.1A patent/CN104603790B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201282494Y (en) * | 2008-09-19 | 2009-07-29 | 深圳华为通信技术有限公司 | Mobile terminal with vena recognition function |
CN202520091U (en) * | 2012-02-15 | 2012-11-07 | 上海迪堡安防设备有限公司 | Finger vein identification electronic coded lock |
US20140062658A1 (en) * | 2012-08-31 | 2014-03-06 | Nxp B.V. | Authentication system and authentication method |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016112515A1 (en) * | 2015-01-15 | 2016-07-21 | 深圳市三木通信技术有限公司 | Scanning method and system for smart mobile terminal |
Also Published As
Publication number | Publication date |
---|---|
WO2016112515A1 (en) | 2016-07-21 |
CN104603790B (en) | 2018-02-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10643055B2 (en) | Fingerprint recognition method and system capable of improving fingerprint recognition rate | |
CN102830931B (en) | Method for checking notification information of smart terminal by shaking | |
US8121359B2 (en) | Fingerprint identification system and method of an electronic device | |
EP3355222A1 (en) | Fingerprint identification terminal screen unlocking method and terminal | |
CN107015745B (en) | Screen operation method and device, terminal equipment and computer readable storage medium | |
WO2017092296A1 (en) | Gesture unlocking method and apparatus, and mobile terminal | |
CN105574389A (en) | Fingerprint identification method and terminal | |
CN105678147B (en) | Touch operation method and device | |
CN103745144A (en) | Terminal and terminal unlocking method | |
CN110248025B (en) | Identity recognition method, device and storage medium for multi-fingerprint and palm print information | |
US20100045787A1 (en) | Authenticating apparatus, authenticating system, and authenticating method | |
CN105279402A (en) | Placing angle-based unlocking method and mobile terminal | |
CN104598792A (en) | Terminal | |
CN104933341A (en) | Authority management method, and terminal | |
CN104537286A (en) | Terminal unlocking method | |
CN107729884A (en) | Fingerprint identification method, mobile terminal and computer-readable recording medium | |
CN103870812A (en) | Method and system for acquiring palmprint image | |
CN103544422A (en) | Intelligent screen display terminal with function of fingerprint identification | |
CN107545163A (en) | Solve lock control method and Related product | |
CN104486310A (en) | Method and system for authenticating finger veins and finger vein information acquisition instrument | |
CN107480641B (en) | Fingerprint identification method and electronic equipment | |
CN104603790A (en) | Intelligent mobile terminal scanning method and system | |
CN107295192B (en) | Unlocking control method and related product | |
CN105678143A (en) | Methods and devices for setting and acquiring electronic business card | |
KR20140049705A (en) | Fingerprint locking system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB02 | Change of applicant information | ||
CB02 | Change of applicant information |
Address after: 518000 Nanshan District Shenzhen software industry base, building A, block 5, level 503, level 505 and level 1702, No. 17, No. first Applicant after: Shenzhen Miki Intelligent Technology Co., Ltd. Address before: 518000 T2-A3_2, South District, Nanshan District hi tech Zone, Guangdong, Shenzhen Applicant before: Shenzhen Sanmu Commutication Technology Co., Ltd. |
|
GR01 | Patent grant | ||
GR01 | Patent grant |