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Color Recognition

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Color Recognition

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Semester 3/2022 – 2023

Course: Digital Transformation and Artificial Intelligence

AI- MINI PROJECT ABOUT COLOR RECOGNITION IN LIFE

Instructor: Nguyễn Thế Đại Nghĩa


Course code: 225MI5211

PREPARED BY GROUP 7:
Full name Student’s ID Performance evaluation
1 Đoàn Ngọc Quỳnh Giao K224040603
2 Lâm Huỳnh Ái My K224040613
3 Phạm Lê Thảo Nhi K224040618
4 Võ Hoàng Uyên Nhy K224040619
5 Lê Hoài Trúc Quỳnh K224040622

Ho Chi Minh City, 10th July 2023 .


A. NAME OF THE PROJECT: Color Recognition in life

The name we took after for the project partly denotes its’ function and our purpose.
Color recognition technology has various applications in different fields, especially
we want to focus on visually impaired people. Also, paying a small attention to 4%
of world population.

B. POSSIBLE APPLICATIONS:
1. Design and printing industry: Color recognition technology is used to ensure the
accuracy and consistency of colors in the process of graphic design, printing, poster
production, advertising sets and other products. other visual materials.
2. Assistant for color blind people: Visually impaired people meet quite a lot
difficulties and barriers in distinguishing colors in either their work environment or
daily life. Color recognition technology brings more chances for them to enjoy colors
surrounding them.
3. Textile industry: Color recognition technology helps to check and ensure color
accuracy in the production of fabrics and textile products. It can also be used to sort
textile products by color.
4. Electronics industry: In the manufacture of electronic products, color recognition
technology can be used to check the accuracy of displays, LEDs and other
components related to color.
5. Pharmaceutical industry: Color recognition technology can be used to check color
accuracy and consistency in the manufacture of drugs and other pharmaceutical
products. It can ensure that medicines are produced with correct colors and meet
safety and quality standards.

C. CLASSIFICATION:
These groups in this project are categorized into the following colors( from light to
dark) :
 Red
 Yellow
 Orange
 Green
 Blue
 Violet
D. LINK ON TEACHABLE MACHINE

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