CN116188775A - Entrance epidemic prevention recognition device - Google Patents

Entrance epidemic prevention recognition device Download PDF

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Publication number
CN116188775A
CN116188775A CN202211617333.XA CN202211617333A CN116188775A CN 116188775 A CN116188775 A CN 116188775A CN 202211617333 A CN202211617333 A CN 202211617333A CN 116188775 A CN116188775 A CN 116188775A
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China
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image
epidemic prevention
health information
unit
identification
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CN202211617333.XA
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Chinese (zh)
Inventor
金菊
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Suzhou Industrial Park Customs Declaration Co ltd
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Suzhou Industrial Park Customs Declaration Co ltd
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Priority to CN202211617333.XA priority Critical patent/CN116188775A/en
Publication of CN116188775A publication Critical patent/CN116188775A/en
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/02—Systems using the reflection of electromagnetic waves other than radio waves
    • G01S17/06—Systems determining position data of a target
    • G01S17/08—Systems determining position data of a target for measuring distance only
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/06—Systems determining position data of a target
    • G01S13/08—Systems for measuring distance only
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/02—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems using reflection of acoustic waves
    • G01S15/06—Systems determining the position data of a target
    • G01S15/08—Systems for measuring distance only
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/24—Aligning, centring, orientation detection or correction of the image
    • G06V10/243—Aligning, centring, orientation detection or correction of the image by compensating for image skew or non-uniform image deformations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Electromagnetism (AREA)
  • Acoustics & Sound (AREA)
  • Time Recorders, Dirve Recorders, Access Control (AREA)

Abstract

The invention belongs to the field of identification, and discloses an entry epidemic prevention identification device which comprises a scanning module, an identification module and a prompt module, wherein the scanning module comprises a distance identification unit, a control unit and a shooting unit; the distance identification unit is used for acquiring the distance between the electronic equipment of the inbound passenger and the shooting unit; the control unit is used for calculating the focal length of the shooting unit according to the distance; the shooting unit is used for shooting a screen of the electronic equipment according to the focal length to obtain an image set; the identification module is used for acquiring an identification image from the image set, identifying epidemic prevention health information codes of the identification image, and acquiring health information of an inbound passenger; the prompting module is used for prompting entry inspectors according to the health information. According to the invention, the distance between the electronic equipment and the shooting unit is measured through the distance identification unit, the focal length is automatically adjusted through the distance, and then the success rate of identification is improved by adopting a mode of obtaining a plurality of screen images in a short time, so that the inbound experience is improved.

Description

Entrance epidemic prevention recognition device
Technical Field
The invention relates to the field of identification, in particular to an entry epidemic prevention identification device.
Background
In order to perform epidemic prevention, an epidemic prevention health information code needs to be checked, and in the prior art, the epidemic prevention health information code is checked manually or scanned through a self-service scanning device so as to acquire the health information of an inbound passenger. However, the existing self-service scanning device generally needs to be identified by an inbound passenger when the two-dimensional code is placed in a place relatively close to the self-service scanning device, so that inbound experience is affected.
Disclosure of Invention
The invention aims to disclose an entry epidemic prevention recognition device, which solves the problem that the existing self-service scanning device for performing entry epidemic prevention recognition can recognize an epidemic prevention health code only by putting a two-dimensional code in a relatively close place when recognizing the epidemic prevention health code, and influences the entry experience.
In order to achieve the above purpose, the invention adopts the following technical scheme:
the device comprises a scanning module, an identification module and a prompt module, wherein the scanning module comprises a distance identification unit, a control unit and a shooting unit;
the distance identification unit is used for acquiring the distance between the electronic equipment of the inbound passenger and the shooting unit;
the control unit is used for calculating the focal length of the shooting unit according to the distance;
the shooting unit is used for shooting a screen of the electronic equipment according to the focal length to obtain an image set;
the identification module is used for acquiring an identification image from the image set, identifying epidemic prevention health information codes of the identification image, and acquiring health information of an inbound passenger;
the prompting module is used for prompting entry inspectors according to the health information.
Preferably, the distance recognition unit includes any one of an infrared ranging sensor, a laser ranging sensor, an ultrasonic ranging sensor, and a millimeter wave radar sensor.
Preferably, shooting a screen of the electronic device according to the focal length to obtain an image set, including:
shooting the screen of the electronic equipment for a plurality of times within a set time period to obtain a plurality of screen images, and storing the screen images into an image set.
Preferably, the identification module comprises a calculation unit, an information identification unit and a comparison unit;
the computing unit is used for computing the computing score of each screen image in the image set respectively, and taking the screen image with the largest computing score as the identification image;
the information unit is used for carrying out image recognition on the recognition image and acquiring the color of the epidemic prevention health information code in the recognition image and the name of the inbound personnel corresponding to the epidemic prevention health information code;
the comparison unit is used for comparing the name of the entering person with the name on the passport according to judgment, a comparison result is obtained, and the color of the epidemic prevention health information code and the comparison result are used as the health information of the entering person.
Preferably, the prompting to the entry inspector according to the health information comprises:
if the comparison result shows that the name of the inbound personnel is consistent with the name on the passport and the color of the epidemic prevention health information code is green, a prompt passing epidemic prevention recognition is sent;
otherwise, a prompt that the epidemic prevention is not recognized is sent out.
Preferably, the image recognition is performed on the recognition image, and the color of the epidemic prevention health information code in the recognition image and the name of the inbound person corresponding to the epidemic prevention health information code are obtained, including:
acquiring a position detection pattern of an epidemic prevention health information code in an identification image;
image segmentation is carried out on the identification image based on the position detection pattern, and a segmented image is obtained;
performing image correction processing on the segmented image to obtain a corrected image;
identifying the corrected image, and obtaining names contained in the corrected image and colors of pixel points in the corrected image;
taking the color of the pixel point in the corrected image as the color of the epidemic prevention health information code;
and taking the name contained in the corrected image as the name of the inbound personnel corresponding to the epidemic prevention health information code.
Preferably, the image segmentation is performed on the identification image based on the position detection pattern to obtain a segmented image, including:
based on the minimum circumscribed rectangle of the acquired position detection graph;
and taking the pixel points in the minimum circumscribed rectangle range as the pixel points in the segmented image.
Preferably, the image correction processing is performed on the divided image to obtain a corrected image, including:
a correction image is obtained by performing a memory tilt correction process on the divided image.
In the process of acquiring the epidemic prevention information health code, the method can identify the epidemic prevention information health code without placing the epidemic prevention information health code in a place relatively close to the scanning module by an inbound passenger, but measures the distance between the electronic equipment and the shooting unit through the distance identification unit, automatically adjusts the focal length through the distance, and then improves the success rate of identification by adopting a mode of acquiring a plurality of screen images in a short time, thereby improving the inbound experience.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an entry epidemic prevention recognition device according to the present invention.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the invention. Rather, they are merely examples of apparatus and methods consistent with aspects of the invention as detailed in the accompanying claims.
The invention provides an inbound epidemic prevention recognition device, as shown in an embodiment of fig. 1, which comprises a scanning module, a recognition module and a prompt module, wherein the scanning module comprises a distance recognition unit, a control unit and a shooting unit;
the distance identification unit is used for acquiring the distance between the electronic equipment of the inbound passenger and the shooting unit;
the control unit is used for calculating the focal length of the shooting unit according to the distance;
the shooting unit is used for shooting a screen of the electronic equipment according to the focal length to obtain an image set;
the identification module is used for acquiring an identification image from the image set, identifying epidemic prevention health information codes of the identification image, and acquiring health information of an inbound passenger;
the prompting module is used for prompting entry inspectors according to the health information.
In the process of acquiring the epidemic prevention information health code, the method can identify the epidemic prevention information health code without placing the epidemic prevention information health code in a place relatively close to the scanning module by an inbound passenger, but measures the distance between the electronic equipment and the shooting unit through the distance identification unit, automatically adjusts the focal length through the distance, and then improves the success rate of identification by adopting a mode of acquiring a plurality of screen images in a short time, thereby improving the inbound experience.
Preferably, the distance recognition unit includes any one of an infrared ranging sensor, a laser ranging sensor, an ultrasonic ranging sensor, and a millimeter wave radar sensor.
Specifically, the recognition direction of the distance recognition unit may be parallel to the extending direction of the inbound channel, and the inbound passenger only needs to present the epidemic prevention health information code in a direction towards the scanning module at a relatively long distance, so that the distance recognition unit can recognize the distance between the electronic device and the scanning module.
Preferably, shooting a screen of the electronic device according to the focal length to obtain an image set, including:
shooting the screen of the electronic equipment for a plurality of times within a set time period to obtain a plurality of screen images, and storing the screen images into an image set.
Specifically, the set time period can adaptively change along with the illumination condition, when the average illumination intensity is higher, the set time period is at a smaller value, otherwise, at a larger value.
Preferably, the identification module comprises a calculation unit, an information identification unit and a comparison unit;
the computing unit is used for computing the computing score of each screen image in the image set respectively, and taking the screen image with the largest computing score as the identification image;
the information unit is used for carrying out image recognition on the recognition image and acquiring the color of the epidemic prevention health information code in the recognition image and the name of the inbound personnel corresponding to the epidemic prevention health information code;
the comparison unit is used for comparing the name of the entering person with the name on the passport according to judgment, a comparison result is obtained, and the color of the epidemic prevention health information code and the comparison result are used as the health information of the entering person.
Preferably, the calculation function for calculating the score is:
Figure BDA0004000554590000041
wherein calidx represents the calculated score of the screen image, α represents the first weight, β represents the second weight, albvset represents the set of edge pixels of the screen image, albvset represents the set of non-edge pixels of the screen image, lbvpix i Gradient value in horizontal direction of pixel point i, lbvpix j Gradient value, num, representing the horizontal direction of pixel j 1 Represents the number of pixel points in albvset, num 2 Representing the number of pixels in albvset, lbvpixst representing the set gradient value comparison value, numfr representing the number of pixels of the foreground region of the screen image, allph tableShowing the total number of pixels of the screen image.
The calculation score is calculated from the difference of the average gradient between the edge pixel points and the non-edge pixel points of the image and the number of the pixel points of the foreground region, so that the screen image with clear edges and large foreground pixel point proportion can be selected by the calculation score.
Preferably, the prompting to the entry inspector according to the health information comprises:
if the comparison result shows that the name of the inbound personnel is consistent with the name on the passport and the color of the epidemic prevention health information code is green, a prompt passing epidemic prevention recognition is sent;
otherwise, a prompt that the epidemic prevention is not recognized is sent out.
Preferably, the image recognition is performed on the recognition image, and the color of the epidemic prevention health information code in the recognition image and the name of the inbound person corresponding to the epidemic prevention health information code are obtained, including:
acquiring a position detection pattern of an epidemic prevention health information code in an identification image;
image segmentation is carried out on the identification image based on the position detection pattern, and a segmented image is obtained;
performing image correction processing on the segmented image to obtain a corrected image;
identifying the corrected image, and obtaining names contained in the corrected image and colors of pixel points in the corrected image;
taking the color of the pixel point in the corrected image as the color of the epidemic prevention health information code;
and taking the name contained in the corrected image as the name of the inbound personnel corresponding to the epidemic prevention health information code.
Preferably, the image segmentation is performed on the identification image based on the position detection pattern to obtain a segmented image, including:
based on the minimum circumscribed rectangle of the acquired position detection graph;
and taking the pixel points in the minimum circumscribed rectangle range as the pixel points in the segmented image.
Preferably, the image correction processing is performed on the divided image to obtain a corrected image, including:
a correction image is obtained by performing a memory tilt correction process on the divided image.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.

Claims (8)

1. The entry epidemic prevention recognition device is characterized by comprising a scanning module, a recognition module and a prompt module, wherein the scanning module comprises a distance recognition unit, a control unit and a shooting unit;
the distance identification unit is used for acquiring the distance between the electronic equipment of the inbound passenger and the shooting unit;
the control unit is used for calculating the focal length of the shooting unit according to the distance;
the shooting unit is used for shooting a screen of the electronic equipment according to the focal length to obtain an image set;
the identification module is used for acquiring an identification image from the image set, identifying epidemic prevention health information codes of the identification image, and acquiring health information of an inbound passenger;
the prompting module is used for prompting entry inspectors according to the health information.
2. The entry epidemic prevention recognition device according to claim 1, wherein the distance recognition unit comprises any one of an infrared ranging sensor, a laser ranging sensor, an ultrasonic ranging sensor, and a millimeter wave radar sensor.
3. The entry epidemic prevention recognition device according to claim 1, wherein capturing a screen of an electronic apparatus according to a focal length to obtain an image set, comprises:
shooting the screen of the electronic equipment for a plurality of times within a set time period to obtain a plurality of screen images, and storing the screen images into an image set.
4. An entry epidemic prevention recognition arrangement according to claim 3, wherein the recognition module comprises a calculation unit, an information recognition unit and a comparison unit;
the computing unit is used for computing the computing score of each screen image in the image set respectively, and taking the screen image with the largest computing score as the identification image;
the information unit is used for carrying out image recognition on the recognition image and acquiring the color of the epidemic prevention health information code in the recognition image and the name of the inbound personnel corresponding to the epidemic prevention health information code;
the comparison unit is used for comparing the name of the entering person with the name on the passport according to judgment, a comparison result is obtained, and the color of the epidemic prevention health information code and the comparison result are used as the health information of the entering person.
5. The entry epidemic prevention antibactericide apparatus of claim 4, wherein the prompting of the entry inspector based on the health information comprises:
if the comparison result shows that the name of the inbound personnel is consistent with the name on the passport and the color of the epidemic prevention health information code is green, a prompt passing epidemic prevention recognition is sent;
otherwise, a prompt that the epidemic prevention is not recognized is sent out.
6. The apparatus for identifying an inbound epidemic prevention of claim 4, wherein performing image recognition on the identification image to obtain a color of an epidemic prevention health information code in the identification image and a name of an inbound person corresponding to the epidemic prevention health information code, comprises:
acquiring a position detection pattern of an epidemic prevention health information code in an identification image;
image segmentation is carried out on the identification image based on the position detection pattern, and a segmented image is obtained;
performing image correction processing on the segmented image to obtain a corrected image;
identifying the corrected image, and obtaining names contained in the corrected image and colors of pixel points in the corrected image;
taking the color of the pixel point in the corrected image as the color of the epidemic prevention health information code;
and taking the name contained in the corrected image as the name of the inbound personnel corresponding to the epidemic prevention health information code.
7. The entry epidemic prevention recognition apparatus of claim 6, wherein image segmentation is performed on the recognition image based on the position detection pattern to obtain a segmented image, comprising:
based on the minimum circumscribed rectangle of the acquired position detection graph;
and taking the pixel points in the minimum circumscribed rectangle range as the pixel points in the segmented image.
8. The entry epidemic prevention recognition apparatus according to claim 6, wherein performing image correction processing on the split image to obtain a corrected image, comprises:
a correction image is obtained by performing a memory tilt correction process on the divided image.
CN202211617333.XA 2022-12-15 2022-12-15 Entrance epidemic prevention recognition device Pending CN116188775A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211617333.XA CN116188775A (en) 2022-12-15 2022-12-15 Entrance epidemic prevention recognition device

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Application Number Priority Date Filing Date Title
CN202211617333.XA CN116188775A (en) 2022-12-15 2022-12-15 Entrance epidemic prevention recognition device

Publications (1)

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CN116188775A true CN116188775A (en) 2023-05-30

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