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IR4 Attendance System

#faceclassifer

#facerecognition

#DeepLearning

#behavior profiling

IR4

Attendance System

Objective

Objective

1. To develop a student face classifier for our algorithm

2. To design and optimize Deep Learning for Malaysian student face classifier

3. To develop student behavior profiling

4. To propose a tracking algorithm in the class

Welcome to IR4 Face_Recognition

[ Demo Version ]

1. Generate Dataset / Database

-To start recognize people, we have to register

first database with "Generate Dataset" button.

[250 image]

#note: For spectacle user, when it reach 150.jpg,

open your spectacle for more deep

recognition.

2. Train Model / Stop Training

- After click "Train Model", see the trained progress

bar below, a pop-up window show it have been

trained.

- Proceed to click "Stop Training".

3. Recognize Face

- Click button "Recognize Face" to start IR4 face

recognition.

- Click button "Stop Recognize" to stop IR4 face

recognition.

4. Save Image

Method

Methodologies

1) Collecting data

2) face classifier, head classifier training

2) Design DL network

3) evaluate the algorithm

4) develop student behavior profiling system

5) develop tracking algorithm

OUR OFFICES

OUR OFFICES

OUR OFFICES

London

San Francisco

Brussels

New York

Beijing

Houston

Hong Kong

PRODUCTS

PRODUCT #1

PRODUCT #1

PRODUCT #2

PRODUCT #2

PRODUCT #3

PRODUCT #3

PRICING

PRICING

CONTACT US

CONTACT US

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