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CN107742098B - Method and device for determining mosquito catching strength through fingerprint combination verification - Google Patents

Method and device for determining mosquito catching strength through fingerprint combination verification Download PDF

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Publication number
CN107742098B
CN107742098B CN201710935692.2A CN201710935692A CN107742098B CN 107742098 B CN107742098 B CN 107742098B CN 201710935692 A CN201710935692 A CN 201710935692A CN 107742098 B CN107742098 B CN 107742098B
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fingerprint
user
verification
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fingerprints
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CN107742098A (en
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包宇航
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Shenzhen Qiming Urban Environmental Industry Service Co.,Ltd.
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Shenzhen Shuangxin Environmental Protection Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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
    • G06V40/12Fingerprints or palmprints
    • G06V40/1365Matching; Classification
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01MCATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
    • A01M1/00Stationary means for catching or killing insects
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Pest Control & Pesticides (AREA)
  • Multimedia (AREA)
  • Human Computer Interaction (AREA)
  • Computer Security & Cryptography (AREA)
  • Wood Science & Technology (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Environmental Sciences (AREA)
  • Zoology (AREA)
  • Insects & Arthropods (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The invention discloses a method and a device for mosquito catching strength of fingerprint combination verification. The method comprises the following steps: logging in through a user login step, and verifying a user name and a password to realize user login; entering a mode selection step, selecting a fingerprint acquisition mode, and acquiring fingerprints of 1, 2 or 3 fingers; entering a corresponding capturing mode of several levels according to the collected fingerprints of several fingers; and after the fingerprint combination verification is passed, a success signal is sent to the trigger device, the trigger device sends a trigger signal to the capturing strength grade judging module, and a corresponding strength capturing mode is started.

Description

Method and device for determining mosquito catching strength through fingerprint combination verification
Technical Field
The invention relates to the technical field of mosquito capture, in particular to a method and a device for determining mosquito capture strength through fingerprint combination verification.
Background
The world health organization ranks mosquitoes as the most threatening insects, and the number of patients dying from mosquito-borne diseases every year is higher than that of aids patients.
When mosquito killing becomes a difficult problem, various enterprises research and manufacture various manual and automatic mosquito traps to realize automatic mosquito searching and catching, and the current insect traps comprise a sweet insect trap, a carbon dioxide generator, a solar insect trap and the like, and all of the manual and automatic mosquito traps utilize respective insect catching principles to realize mosquito catching.
In the process of using the automatic insect trap, automatic selection of the force mode of the insect trap cannot be realized, namely, a user can only catch mosquitoes based on the inherent force of the existing insect trap but cannot automatically adjust the force for catching the mosquitoes, more mosquitoes are in certain specific environments, fewer mosquitoes are in certain specific environments, if the same insect catching force is adopted, the resource waste is inevitably caused, the insect catching efficiency is reduced, and the automatic selection and adjustment of the insect catching force are blank in the technical field of insect catching.
Therefore, there is a need for a technique for automatically selecting an insect-catching strength mode safely, and adjusting the strength after selection to automatically catch insects.
Disclosure of Invention
In view of the above-mentioned drawbacks, the present invention provides a method and an apparatus for determining mosquito catching strength of fingerprint combination verification.
The method for determining the mosquito catching strength is realized by the following technical scheme:
a user login step, namely realizing user login on a graphical user interface through a user name and a password;
a mode selection step of selecting a fingerprint acquisition mode, wherein the fingerprint acquisition mode comprises the acquisition of 1 fingerprint, 2 fingerprints or 3 fingerprints of a user;
when the user selects 1 fingerprint acquisition mode, prompting the user to input the fingerprint of a specific finger, and acquiring the fingerprint of the specific finger of the user through a fingerprint acquisition device to form a fingerprint characteristic sequence;
when the user selects 2 fingerprint acquisition modes, prompting the user to input fingerprints of 2 specific fingers, acquiring the fingerprints of the 2 specific fingers of the user through a fingerprint acquisition device, and combining the characteristic sequences of the 2 finger fingerprints to form a combined fingerprint characteristic sequence;
when the user selects 3 fingerprint acquisition modes, prompting the user to input fingerprints of 3 specific fingers, acquiring the fingerprints of the 3 specific fingers of the user through a fingerprint acquisition device, and combining the characteristic sequences of the 3 finger fingerprints to form a combined fingerprint characteristic sequence;
a fingerprint verification step, namely starting a corresponding fingerprint verification mode aiming at a specific fingerprint acquisition mode, verifying a fingerprint characteristic sequence after selecting the fingerprint verification mode, and verifying the acquired fingerprint based on a user fingerprint acquired in advance in a preset fingerprint database;
a triggering step, when the fingerprint characteristic sequence passes the verification, a verification success signal is sent, the triggering step is used for sending a triggering signal, the step of judging the capturing force level is entered, when the fingerprint characteristic sequence fails the verification, a verification failure signal is sent, and the whole step of the determining method is exited;
a capturing strength grade judging step, namely selecting corresponding capturing strength according to a fingerprint verification result, entering a grade 1 capturing mode when 1 fingerprint passes verification, entering a grade 2 capturing mode when 2 fingerprints pass verification, and entering a grade 3 capturing mode when 3 fingerprints pass verification;
and a step of capturing mosquitoes, which is to start the step of capturing mosquitoes after the capturing force mode is determined, and capture the mosquitoes according to the determined capturing force.
Preferably, the method further comprises: the specific 1 fingerprint is fingerprint information of the index finger of the user, the specific 2 fingerprint information is fingerprint information of the index finger and the middle finger of the user, and the specific 3 fingerprint information is fingerprint information of the index finger, the middle finger and the thumb of the user.
Preferably, the method further comprises: and verifying on the graphical user interface in a voice or face verification mode, and selecting a user name and password mode or a voice or face verification mode on the graphical user interface by the user to perform security authentication on the user authority.
Preferably, the method further comprises: and correcting the fingerprint information of the user according to the acquired fingerprint characteristic information so as to ensure the accuracy of fingerprint identification.
Preferably, the method further comprises: when a user selects to use a voice or face verification mode for verification, a voice or face database is automatically called, and the voice or face database collects and stores voice or face information of the user in advance.
In addition, the invention also discloses a mosquito catching strength determining device for fingerprint combination verification, which comprises the following parts:
the user login device realizes user login on the graphical user interface through a user name and a password;
the mode selection device selects a fingerprint acquisition mode, wherein the fingerprint acquisition mode comprises the acquisition of 1 fingerprint, 2 fingerprints or 3 fingerprints of a user;
when the user selects 1 fingerprint acquisition mode, prompting the user to input the fingerprint of a specific finger, and acquiring the fingerprint of the specific finger of the user through a fingerprint acquisition device to form a fingerprint characteristic sequence;
when the user selects 2 fingerprint acquisition modes, prompting the user to input fingerprints of 2 specific fingers, acquiring the fingerprints of the 2 specific fingers of the user through a fingerprint acquisition device, and combining the characteristic sequences of the 2 finger fingerprints to form a combined fingerprint characteristic sequence;
when the user selects 3 fingerprint acquisition modes, prompting the user to input fingerprints of 3 specific fingers, acquiring the fingerprints of the 3 specific fingers of the user through a fingerprint acquisition device, and combining the characteristic sequences of the 3 finger fingerprints to form a combined fingerprint characteristic sequence;
the fingerprint verification device starts a corresponding fingerprint verification mode aiming at a specific fingerprint acquisition mode, verifies a fingerprint characteristic sequence after selecting the fingerprint verification mode, and verifies the acquired fingerprint based on the user fingerprint acquired in advance in a preset fingerprint database;
the triggering device sends a verification success signal when the fingerprint characteristic sequence passes verification, sends a triggering signal through the triggering device, enters the capturing strength level judging device, sends a verification failure signal when the fingerprint characteristic sequence fails verification, and exits from the whole determining device;
the capturing strength grade judging device selects corresponding capturing strength according to the fingerprint verification result, enters a grade 1 capturing mode when 1 fingerprint passes verification, enters a grade 2 capturing mode when 2 fingerprints pass verification, and enters a grade 3 capturing mode when 3 fingerprints pass verification;
and the mosquito catching device is started after the catching strength mode is determined, and mosquitoes are caught according to the determined catching strength.
Preferably, the apparatus further comprises: the specific 1 fingerprint is fingerprint information of the index finger of the user, the specific 2 fingerprint information is fingerprint information of the index finger and the middle finger of the user, and the specific 3 fingerprint information is fingerprint information of the index finger, the middle finger and the thumb of the user.
Preferably, the apparatus further comprises: and verifying on the graphical user interface in a voice or face verification mode, and selecting a user name and password mode or a voice or face verification mode on the graphical user interface by the user to perform security authentication on the user authority.
Preferably, the apparatus further comprises: and correcting the fingerprint information of the user according to the acquired fingerprint characteristic information so as to ensure the accuracy of fingerprint identification.
Preferably, the apparatus further comprises: when a user selects to use a voice or face verification mode for verification, a voice or face database is automatically called, and the voice or face database collects and stores voice or face information of the user in advance.
Drawings
The invention is further described below with reference to the accompanying drawings:
fig. 1 is a flowchart of a method for determining mosquito catching strength of fingerprint combination verification according to the present invention.
Fig. 2 is a schematic structural view of the mosquito catching strength determining device for fingerprint combination verification of the invention.
Detailed Description
Referring to fig. 1, in the user login step, the user login is realized on a graphical user interface through a user name and a password;
a mode selection step of selecting a fingerprint acquisition mode, wherein the fingerprint acquisition mode comprises the acquisition of 1 fingerprint, 2 fingerprints or 3 fingerprints of a user;
when the user selects 1 fingerprint acquisition mode, prompting the user to input the fingerprint of a specific finger, and acquiring the fingerprint of the specific finger of the user through a fingerprint acquisition device to form a fingerprint characteristic sequence;
when the user selects 2 fingerprint acquisition modes, prompting the user to input fingerprints of 2 specific fingers, acquiring the fingerprints of the 2 specific fingers of the user through a fingerprint acquisition device, and combining the characteristic sequences of the 2 finger fingerprints to form a combined fingerprint characteristic sequence;
when the user selects 3 fingerprint acquisition modes, prompting the user to input fingerprints of 3 specific fingers, acquiring the fingerprints of the 3 specific fingers of the user through a fingerprint acquisition device, and combining the characteristic sequences of the 3 finger fingerprints to form a combined fingerprint characteristic sequence;
a fingerprint verification step, namely starting a corresponding fingerprint verification mode aiming at a specific fingerprint acquisition mode, verifying a fingerprint characteristic sequence after selecting the fingerprint verification mode, and verifying the acquired fingerprint based on a user fingerprint acquired in advance in a preset fingerprint database;
a triggering step, when the fingerprint characteristic sequence passes the verification, a verification success signal is sent, the triggering step is used for sending a triggering signal, the step of judging the capturing force level is entered, when the fingerprint characteristic sequence fails the verification, a verification failure signal is sent, and the whole step of the determining method is exited;
a capturing strength grade judging step, namely selecting corresponding capturing strength according to a fingerprint verification result, entering a grade 1 capturing mode when 1 fingerprint passes verification, entering a grade 2 capturing mode when 2 fingerprints pass verification, and entering a grade 3 capturing mode when 3 fingerprints pass verification;
and a step of capturing mosquitoes, which is to start the step of capturing mosquitoes after the capturing force mode is determined, and capture the mosquitoes according to the determined capturing force.
Referring to fig. 2, the apparatus mainly comprises several parts:
the user login device realizes user login on the graphical user interface through a user name and a password;
the mode selection device selects a fingerprint acquisition mode, wherein the fingerprint acquisition mode comprises the acquisition of 1 fingerprint, 2 fingerprints or 3 fingerprints of a user;
when the user selects 1 fingerprint acquisition mode, prompting the user to input the fingerprint of a specific finger, and acquiring the fingerprint of the specific finger of the user through a fingerprint acquisition device to form a fingerprint characteristic sequence;
when the user selects 2 fingerprint acquisition modes, prompting the user to input fingerprints of 2 specific fingers, acquiring the fingerprints of the 2 specific fingers of the user through a fingerprint acquisition device, and combining the characteristic sequences of the 2 finger fingerprints to form a combined fingerprint characteristic sequence;
when the user selects 3 fingerprint acquisition modes, prompting the user to input fingerprints of 3 specific fingers, acquiring the fingerprints of the 3 specific fingers of the user through a fingerprint acquisition device, and combining the characteristic sequences of the 3 finger fingerprints to form a combined fingerprint characteristic sequence;
the fingerprint verification device starts a corresponding fingerprint verification mode aiming at a specific fingerprint acquisition mode, verifies a fingerprint characteristic sequence after selecting the fingerprint verification mode, and verifies the acquired fingerprint based on the user fingerprint acquired in advance in a preset fingerprint database;
the triggering device sends a verification success signal when the fingerprint characteristic sequence passes verification, sends a triggering signal through the triggering device, enters the capturing strength level judging device, sends a verification failure signal when the fingerprint characteristic sequence fails verification, and exits from the whole determining device;
the capturing strength grade judging device selects corresponding capturing strength according to the fingerprint verification result, enters a grade 1 capturing mode when 1 fingerprint passes verification, enters a grade 2 capturing mode when 2 fingerprints pass verification, and enters a grade 3 capturing mode when 3 fingerprints pass verification;
and the mosquito catching device is started after the catching strength mode is determined, and mosquitoes are caught according to the determined catching strength.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not substantially depart from the spirit and scope of the present invention as defined by the appended claims.

Claims (2)

1. A method for determining mosquito catching strength of fingerprint combination verification comprises the following steps:
a user login step, namely realizing user login on a graphical user interface through a user name and a password;
a mode selection step of selecting a fingerprint acquisition mode, wherein the fingerprint acquisition mode comprises the acquisition of 1 fingerprint, 2 fingerprints or 3 fingerprints of a user;
when the user selects 1 fingerprint acquisition mode, prompting the user to input the fingerprint of a specific finger, and acquiring the fingerprint of the specific finger of the user through a fingerprint acquisition device to form the fingerprint characteristic sequence;
when the user selects 2 fingerprint acquisition modes, prompting the user to input fingerprints of 2 specific fingers, acquiring the fingerprints of the 2 specific fingers of the user through a fingerprint acquisition device, and combining the characteristic sequences of the 2 finger fingerprints to form a combined fingerprint characteristic sequence;
when the user selects 3 fingerprint acquisition modes, prompting the user to input fingerprints of 3 specific fingers, acquiring the fingerprints of the 3 specific fingers of the user through a fingerprint acquisition device, and combining the characteristic sequences of the 3 finger fingerprints to form a combined fingerprint characteristic sequence;
a fingerprint verification step, namely starting a corresponding fingerprint verification mode aiming at a specific fingerprint acquisition mode, verifying a fingerprint characteristic sequence after selecting the fingerprint verification mode, and verifying the acquired fingerprint based on a user fingerprint acquired in advance in a preset fingerprint database;
a triggering step, when the fingerprint characteristic sequence passes the verification, a verification success signal is sent, the triggering step is used for sending a triggering signal, the step of judging the capturing force level is entered, when the fingerprint characteristic sequence fails the verification, a verification failure signal is sent, and the whole step of the determining method is exited;
a capturing strength grade judging step, namely selecting corresponding capturing strength according to a fingerprint verification result, entering a grade 1 capturing mode when 1 fingerprint passes verification, entering a grade 2 capturing mode when 2 fingerprints pass verification, and entering a grade 3 capturing mode when 3 fingerprints pass verification;
a step of capturing mosquitoes, which is to start the step of capturing mosquitoes after the capturing force mode is determined, and capture the mosquitoes according to the determined capturing force;
the specific 1 fingerprint is fingerprint information of the index finger of the user, the specific 2 fingerprint information is fingerprint information of the index finger and the middle finger of the user, and the specific 3 fingerprint information is fingerprint information of the index finger, the middle finger and the thumb of the user;
verifying on a graphical user interface in a voice or face verification mode, and selecting a user name and password mode or a voice or face verification mode on the graphical user interface by a user to perform security authentication on user authority;
correcting the user fingerprint information according to the acquired fingerprint characteristic information to ensure the accuracy of fingerprint identification;
when a user selects to use a voice or face verification mode for verification, a voice or face database is automatically called, and the voice or face database collects and stores voice or face information of the user in advance.
2. A mosquito catching strength determining device with fingerprint combination verification comprises the following parts:
the user login device realizes user login on the graphical user interface through a user name and a password;
the mode selection device selects a fingerprint acquisition mode, wherein the fingerprint acquisition mode comprises the acquisition of 1 fingerprint, 2 fingerprints or 3 fingerprints of a user;
when the user selects 1 fingerprint acquisition mode, prompting the user to input the fingerprint of a specific finger, and acquiring the fingerprint of the specific finger of the user through a fingerprint acquisition device to form a fingerprint characteristic sequence;
when the user selects 2 fingerprint acquisition modes, prompting the user to input fingerprints of 2 specific fingers, acquiring the fingerprints of the 2 specific fingers of the user through a fingerprint acquisition device, and combining the characteristic sequences of the 2 finger fingerprints to form a combined fingerprint characteristic sequence;
when the user selects 3 fingerprint acquisition modes, prompting the user to input fingerprints of 3 specific fingers, acquiring the fingerprints of the 3 specific fingers of the user through a fingerprint acquisition device, and combining the characteristic sequences of the 3 finger fingerprints to form a combined fingerprint characteristic sequence;
the fingerprint verification device starts a corresponding fingerprint verification mode aiming at a specific fingerprint acquisition mode, verifies a fingerprint characteristic sequence after selecting the fingerprint verification mode, and verifies the acquired fingerprint based on the user fingerprint acquired in advance in a preset fingerprint database;
the triggering device sends a verification success signal when the fingerprint characteristic sequence passes verification, sends a triggering signal through the triggering device, enters the capturing strength level judging device, sends a verification failure signal when the fingerprint characteristic sequence fails verification, and exits from the whole determining device;
the capturing strength grade judging device selects corresponding capturing strength according to the fingerprint verification result, enters a grade 1 capturing mode when 1 fingerprint passes verification, enters a grade 2 capturing mode when 2 fingerprints pass verification, and enters a grade 3 capturing mode when 3 fingerprints pass verification;
the mosquito catching device is started after the catching strength mode is determined, and mosquitoes are caught according to the determined catching strength;
the specific 1 fingerprint is fingerprint information of the index finger of the user, the specific 2 fingerprint information is fingerprint information of the index finger and the middle finger of the user, and the specific 3 fingerprint information is fingerprint information of the index finger, the middle finger and the thumb of the user;
verifying on a graphical user interface in a voice or face verification mode, and selecting a user name and password mode or a voice or face verification mode on the graphical user interface by a user to perform security authentication on user authority;
correcting the user fingerprint information according to the acquired fingerprint characteristic information to ensure the accuracy of fingerprint identification;
when a user selects to use a voice or face verification mode for verification, a voice or face database is automatically called, and the voice or face database collects and stores voice or face information of the user in advance.
CN201710935692.2A 2017-10-10 2017-10-10 Method and device for determining mosquito catching strength through fingerprint combination verification Active CN107742098B (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8396841B1 (en) * 2010-11-30 2013-03-12 Symantec Corporation Method and system of multi-level and multi-mode cloud-based deduplication
CN103488979A (en) * 2013-09-30 2014-01-01 潍坊歌尔电子有限公司 Multifunctional electronic equipment based on fingerprint recognition
CN104705285A (en) * 2015-04-02 2015-06-17 徐亚珍 Intelligent mosquito repellent device
CN104834244A (en) * 2014-11-05 2015-08-12 电子科技大学 Gesture switch and gesture control method
CN105765594A (en) * 2013-11-15 2016-07-13 谷歌技术控股有限责任公司 Method and apparatus for authenticating access to a multi-level secure environment of an electronic system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8396841B1 (en) * 2010-11-30 2013-03-12 Symantec Corporation Method and system of multi-level and multi-mode cloud-based deduplication
CN103488979A (en) * 2013-09-30 2014-01-01 潍坊歌尔电子有限公司 Multifunctional electronic equipment based on fingerprint recognition
CN105765594A (en) * 2013-11-15 2016-07-13 谷歌技术控股有限责任公司 Method and apparatus for authenticating access to a multi-level secure environment of an electronic system
CN104834244A (en) * 2014-11-05 2015-08-12 电子科技大学 Gesture switch and gesture control method
CN104705285A (en) * 2015-04-02 2015-06-17 徐亚珍 Intelligent mosquito repellent device

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