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Development of Fruits Artificial Intelligence Segregation

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Main Authors: Norhidayah, Mohd Rozi, Razaidi, Hussin, Muammar, Mohamad Isa, Syed Muhammad Mamduh, Syed Zakaria, Afzan, Kamaruddin, Rizalafande, Che Ismail, Mohd Nazrin, Md Isa, Siti Zarina, Md Naziri
Other Authors: shidee@unimap.edu.my
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2022
Subjects:
Artificial Intelligent
Open VC
Tensor flow
Raspberry Pi
image recognition
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74981
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spelling my.unimap-749812022-04-15T00:39:27Z Development of Fruits Artificial Intelligence Segregation Norhidayah, Mohd Rozi Razaidi, Hussin Muammar, Mohamad Isa Syed Muhammad Mamduh, Syed Zakaria Afzan, Kamaruddin Rizalafande, Che Ismail Mohd Nazrin, Md Isa Siti Zarina, Md Naziri shidee@unimap.edu.my Artificial Intelligent Open VC Tensor flow Raspberry Pi image recognition Link to publisher's homepage at http://ijneam.unimap.edu.my Higher output was needed as technology advance to meet human needs and industry demands. Fruits Artificial Intelligence Segregation (FAIS) is a project that uses image processing to detect and differentiate between various types of fruits. This paper proposes an OpenCV python, and the Convolution Neural Network (CNN) is used to complete the segregation of multiple fruits. The code extracts the fruit's characteristics and separates them based on their color and shape once placed in front of the camera to implement liveness detection. This paper shows the accuracy and reliability of the Fruits Artificial Intelligence Segregation (FAIS) system based on the number of datasets. 2022-04-15T00:39:27Z 2022-04-15T00:39:27Z 2021-12 Article International Journal of Nanoelectronics and Materials, vol.14 (Special Issue), 2021, pages 245-252 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74981 http://ijneam.unimap.edu.my en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Artificial Intelligent
Open VC
Tensor flow
Raspberry Pi
image recognition
spellingShingle Artificial Intelligent
Open VC
Tensor flow
Raspberry Pi
image recognition
Norhidayah, Mohd Rozi
Razaidi, Hussin
Muammar, Mohamad Isa
Syed Muhammad Mamduh, Syed Zakaria
Afzan, Kamaruddin
Rizalafande, Che Ismail
Mohd Nazrin, Md Isa
Siti Zarina, Md Naziri
Development of Fruits Artificial Intelligence Segregation
description Link to publisher's homepage at http://ijneam.unimap.edu.my
author2 shidee@unimap.edu.my
author_facet shidee@unimap.edu.my
Norhidayah, Mohd Rozi
Razaidi, Hussin
Muammar, Mohamad Isa
Syed Muhammad Mamduh, Syed Zakaria
Afzan, Kamaruddin
Rizalafande, Che Ismail
Mohd Nazrin, Md Isa
Siti Zarina, Md Naziri
format Article
author Norhidayah, Mohd Rozi
Razaidi, Hussin
Muammar, Mohamad Isa
Syed Muhammad Mamduh, Syed Zakaria
Afzan, Kamaruddin
Rizalafande, Che Ismail
Mohd Nazrin, Md Isa
Siti Zarina, Md Naziri
author_sort Norhidayah, Mohd Rozi
title Development of Fruits Artificial Intelligence Segregation
title_short Development of Fruits Artificial Intelligence Segregation
title_full Development of Fruits Artificial Intelligence Segregation
title_fullStr Development of Fruits Artificial Intelligence Segregation
title_full_unstemmed Development of Fruits Artificial Intelligence Segregation
title_sort development of fruits artificial intelligence segregation
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74981
_version_ 1738511690339713024
score 13.214268

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