Face recognition software system by Junyu Tech.(China)

30
August , 2011 Face Recognition Software by Junyu Tech. (China)

description

We develop face recognition software system and we are an algorithm provider. Our face recognition technology was awarded "Top 3 of FRVT2006".

Transcript of Face recognition software system by Junyu Tech.(China)

Page 1: Face recognition software system by Junyu Tech.(China)

August , 2011

Face Recognition Softwareby

Junyu Tech. (China)

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Face recognition software

Contents

More SDKs related to face recognition

Our company

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Face recognition: software principle

Via uploading local picture of PC or capturing picture by camera, face recognition software can recognize who the person is by automatic eigenvalue comparison between the pictures of both uploading and human face database.

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Face recognition: software Interface

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Face recognition: software system components

Human face database Face recognition SDK Camera Server Client terminal

Face recognition software system

Human face database

Camera Server

Face recognition

SDK

Client terminal

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Face recognition: software configuration diagram

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Face recognition: software performance

Can recognize the face in any angle of rotation, in angle of yawing within [-30,30] degrees, pitching within [-15,15] degrees.

Can be at the best performance with the light condition which is under control.

Not influenced by the skin color, proper make up or glasses wearing etc.

The minimum face detection size: 24 pixels The minimum face recognition size: 48 pixels

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Yaw Pitch+30

-30+10

+30

+50

-10

-50

-90 90

+

Roll

-30

+15

-15

Face recognition: detection angle range

Yaw within [-30,30] degrees Pitch within [-15,15] degrees Roll in any angle

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Face recognition: software test report

With the cooperation of Wuxi municipal public security bureau, the test hascovered 3.94 million citizens.

Picture type

Sample size Test scale First

hitFormer 30

Former 100

Former 200

Police certificate photo

36Full pool 72% 88% 92% 92%

Designated age 72% 100% 100% 100%

Detention officer photo

27Full pool 15% 19% 22% 48%

Designated age 15% 59% 67% 85%

Internet café photo 52

Full pool 4% 19% 28% 38%

Designated age 6% 42% 61% 75%

Note: the designated age scale is -10 to10. It is 20 year age scale.

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Face recognition: more testing data

The first hit rate of ID card photo is 100%, similarity reached 93%.

The first hit rate of certificate photo is 72%, former 100 hit rate is 100%.

Top 3 of FRVT2006 : Among million database, the first hit rate of certificate photo

reached not less than 92%, former 30 hit rate reached not less than 98%.

With the cooperation of Wuxi municipal public security bureau, the test has covered 3.94 million citizens. Another test with Shaoxin municipal public security bureau has covered 4 million citizens:

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Face recognition: areas of application

Public security system. Building access control system. Working staff attendance surveillance system Shopping mall customer analysis Banking environment application Intelligent kids dolls More specific business applications

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Face recognition: application exampleJohn 10:00Sales Department

Annie 15:30Marketing Dept. Paul 15:30

Marketing Dept.

Lily 15:30Marketing Dept.

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Face recognition software

Contents

More SDKs related to face recognition

Our company

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More SDKs related to face recognition

Multi-view face detection Face pose estimation Key facial points localization Eye gaze/eye opening degree estimation Age and gender and smiling percentage estimation Face local feature retrieval system

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More SDKs related to face recognition:SDK description

Multi-View Face Detection Module-Real time detect the rough poses of faces in input video/image

Face Pose Estimation module-Estimate face pose (pitch, roll, yaw) for the given faces

Key Facial Points Localization Module-Localize key facial points in the given rough face area including

two eye centers, eye corners, nose tip, mouth center, etc. Eye gaze/Eye opening degree estimation module

-Estimate gaze direction, eye opening degree based on the above rough positions of faces.

Age and gender and smiling percentage estimation module-Estimate age, gender and smiling percentage for the given faces

Face local feature retrieval system- Retrieval the similar face local feature in the database.

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Multi-view face detection:performance

Can detect faces pitch within [-45,45] degrees, yaw within [-90, 90] degrees, and roll within [-45,45] degrees;

Can detect minimum face size of 30 pixels Can detect faces in VGA video at the speed of 20fps (on PIV

3GHZ CPU, at most 5 persons at the same time) without any tracking techniques

Can achieve excellent detection rate with very low false alarm rate (<10e-7) on CMU Frontal test set A, B, profile test set.

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Face pose estimation: performance

Can estimate faces pitch within [-30,30] degrees, and yaw within [-90, 90] degrees

Pose estimation correct rate is over 94% with the error within 10 degrees

Speed is over 50 fps (on PIV 3GHZ CPU)

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Key facial points localization: performance

Can accurately localize over 10 key facial points of faces pitch within [-30,30] degrees, and yaw within [-60, 60] degrees

Key facial points include left/right eye center, inner/outer corner, nose tip, mouth center/corner etc.

Speed is over 30 fps (on PIV 3GHZ CPU)

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Eye gaze/eye opening degree estimation: performance

Can estimate faces pitch within [-30,30] degrees, and yaw within [-60, 60] degrees.

Correct rate of eye gaze direction estimation is over 90% with error within 10 degrees.

Speed: 50fps (PIV 3GHz)

Dozing detection(Fatigue driving detection)

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Age and gender and smiling percentage estimation: performance

Correct rate of age is over 90% with possible error within [-5,5]years old.

Correct rate of gender can achieve 96% for people among 7 to 70 years old.

Until now we only have done the off-line training for Asian people.

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More SDKs related to face recognition

Age &gender&smiling percentage

Face pose detection

Face recognition

Dozing detection

Local featureretrieval

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Face recognition software

Contents

More modules related to face recognition

Our company

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Our company

Face recognition, face attribute analysis(age & gender and more)

Detection, recognition, counting and behavior analysis of human body and vehicle body

Motion tracking Character recognition Analyzing recognition of medical imaging Content-based image and video retrieval etc.

Junyu Technology always focus on the research of image recognition and human biometric identification core technology, additionally works hard on the product application development and marketing promotion.

Junyu’s research includes:

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Our company(rewards): Top 3 of FRVT2006

Best Overall Performing Face Verification Algorithm In the 2004 Face Authentication Test

Second Prize of National Scientific and Technological Progress

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Our company: patents

One child shuttle processing device based on face recognition One processing device based on face recognition and vivo

identification One monitoring device which can automatically track the scene

of crowded people One living body detecting device used on flying object One online self-service certificate applying processing device One monitoring device for advertisement effectiveness

assessment One switching device of TV mode based on human eye feature

analysis One device of that existingvideo image matches the kara ok

melody in real-time

8 patents on utility have been obtained:

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Our company: patents

4 patents on invention have been obtained: One traffic violation detection method based on video-base

object tracking and pattern recognition One age assessment method based on face recognition One queuing up time assessment method based on vision. One human face information automatic login method based on

human face recognition technology

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Our company: Tech. show on Global Sources Fair

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Our company: tech. show on Global Sources FairAge and gender and smiling percentage:

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Our company: our professional team

Our main professional engineers each has more than 10 years research and development experience in the area of object tracking recognition as well as successful business application experience.

Have published several professional articles on the top global academic conferences or journals in the area of machine learning, artificial intelligence, computer vision etc.

The management team has degrees of :• Doctor’s degree of Tsinghua University (Top 3 in China)• Master’s degree of University of British Lan Caster• MBA degree of Fudan University(Top 3 in China)

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Thanks

Wuxi Junyu Technology Co.,Ltd.(China)www.venpoo.com

Louise YeTwitter: @LouiseYe93

Email: [email protected]