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Boarding gate inspection platform and method based on face recognition

A face recognition and boarding gate technology, applied in the field of face recognition, can solve problems such as the inability to collect and recognize face information, the escape of wanted persons, and the efficiency of delayed boarding, so as to improve safety and reliability, improve Safety performance and comprehensiveness, the effect of improving the degree of emphasis

Pending Publication Date: 2019-07-16
乐清市风杰电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Face recognition is a biometric technology for identification based on human facial feature information. A camera or camera is used to collect images or video streams containing human faces, and automatically detect and track human faces in the images, and then detect A series of related technologies for face recognition, usually also called portrait recognition, face recognition, face recognition is a recognition system with high security performance, widely used in the inspection of passenger identity at airport boarding gates, However, when the existing boarding gate inspection platform performs face recognition on passengers, passengers need to cooperate with actions such as blinking or opening their mouths to judge that the face inspection is a real face rather than a face photo. However, when passengers When you are eager to board the plane or are unwilling to cooperate with the inspection platform for face recognition, you will not be able to accurately collect and identify face information. Moreover, when the existing boarding gate inspection platform performs inspections, passengers need to pass the boarding pass or The two-dimensional code is placed on the inspection platform to verify the passenger and the boarding pass or the two-dimensional code ticket. When the passenger is inconvenient to display the boarding pass or the two-dimensional code, it will seriously delay the efficiency of boarding, and cannot Marking the wanted person may cause the wanted person to escape. Therefore, people urgently need a boarding gate inspection platform and method based on face recognition to solve the above problems

Method used

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  • Boarding gate inspection platform and method based on face recognition
  • Boarding gate inspection platform and method based on face recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0086] Embodiment 1: Restricted conditions: the inspector is a ticket buyer, the light intensity is 1258Lux, the number of sensors is set to 5, and the distances from the forehead, eyes, nose tip, mouth and cheeks to the high-definition camera are measured respectively, Y The set threshold is 1cm, and the set threshold of light intensity is 1000Lux;

[0087] The light intensity detected by the light sensor is greater than the set threshold, and the PLC controls the LED dimming light to turn off;

[0088] The data measured by 5 distance sensors are 58.3cm, 57.5cm, 60.4cm, 58.4cm and 58.1cm;

[0089] Sort the measured data from large to small: 60.4cm, 58.4cm, 58.3cm, 58.1cm and 57.5cm;

[0090] According to the formula Y=(X 2 -X 1 )+(X 1 -X n )+…+(X 3 -X （n-1） ) calculated Y=(60.4-58.4)+(58.4-58.3)+(58.3-58.1)+(58.1-57.5)=2.9cm, which is 1cm larger than the set threshold of Y, and it is judged as a real face, not a person If the face photo is detected to match the face i...

Embodiment 2

[0091] Embodiment 2: Restricted conditions: the inspector is a ticket buyer, the light intensity is 867Lux, the number of sensors is set to 5, and the distances from the forehead, eyes, nose tip, mouth and cheeks to the high-definition camera are measured respectively, Y The set threshold is 1cm, and the set threshold of light intensity is 1000Lux;

[0092]The light intensity detected by the light sensor is less than the set threshold, and the PLC controls the LED dimming light to turn on to increase the light intensity;

[0093] The data measured by 5 distance sensors are 58.3cm, 57.5cm, 60.4cm, 58.4cm and 58.1cm;

[0094] Sort the measured data from large to small: 60.4cm, 58.4cm, 58.3cm, 58.1cm and 57.5cm;

[0095] According to the formula Y=(X 2 -X 1 )+(X 1 -X n )+…+(X 3 -X （n-1） ) calculated Y=(60.4-58.4)+(58.4-58.3)+(58.3-58.1)+(58.1-57.5)=2.9cm, which is 1cm larger than the set threshold of Y, and it is judged as a real face, not a person If the face photo is de...

Embodiment 3

[0096] Embodiment 3: Restricted conditions: the inspector is a ticket purchaser, the light intensity is 1258Lux, the number of sensors is set to 5, and the distances from the forehead, eyes, nose tip, mouth and cheeks to the high-definition camera are measured respectively, Y The set threshold is 1cm, and the set threshold of light intensity is 1000Lux;

[0097] The light intensity detected by the light sensor is greater than the set threshold, and the PLC controls the LED dimming light to turn off;

[0098] The data measured by 5 distance sensors are 53.2cm, 53.2cm, 53.1cm, 53.2cm and 53.3cm;

[0099] Sort the measured data from large to small: 53.3cm, 53.2cm, 53.2cm, 53.2cm and 53.1cm;

[0100] According to the formula Y=(X 2 -X 1 )+(X 1 -X n )+…+(X 3 -X （n-1） ) calculated Y = (53.3-53.2) + (53.2-53.2) + (53.2-53.2) + 53.2-53.1) = 0.2cm, which is less than the set threshold of Y 1cm, it is judged as a non-real face, but a human face In the photo, it is detected that ...

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Abstract

The invention discloses a boarding gate inspection platform and method based on face recognition. The boarding gate inspection platform comprises a face information acquisition module, a face information processing module, a data uploading module, a system control module, a light adjusting module and an alarm module. The boarding gate inspection platform is scientific and reasonable, and is safe and convenient to user; the distance sensors are used for measuring the distances from different parts of the human face to the high-definition camera; the distances measured by the distance sensors are ranked from large to small by utilizing the PLC; the sum of the distance differences between every two distance sensors is calculated to judge whether a face picture acquired by a camera is a real face; a program that passengers need to blink or open mouths to judge whether the face is a real face or not is reduced, the problem that the inspection efficiency is reduced due to the fact that the passengers are unwilling to cooperate with time is avoided, meanwhile, the passengers are prevented from taking out face pictures for inspection and recognition, and the safety and reliability of the whole inspection platform are improved.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a boarding gate inspection platform and method based on face recognition. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. A camera or camera is used to collect images or video streams containing human faces, and automatically detect and track human faces in the images, and then detect A series of related technologies for face recognition, usually also called portrait recognition, face recognition, face recognition is a recognition system with high security performance, widely used in the inspection of passenger identity at airport boarding gates, However, when the existing boarding gate inspection platform performs face recognition on passengers, passengers need to cooperate with actions such as blinking or opening their mouths to judge that the face inspection is a real face rather th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G08B25/08
CPCG08B25/08G06V40/16G06V40/172
Inventor 张琦
Owner 乐清市风杰电子科技有限公司
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