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Kamarudin, Afzan

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Afzan Kamarudin

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Afzan Kamarudin

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Afzan, Kamarudin

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Kamarudin, Afzan A.A.

Kamarudin, Afzan

Kamarudin, A.

Kamarudin, A. A.A.

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Universiti Malaysia Perlis

Scopus Author ID

22635093800

Researcher ID

FCZ-7188-2022

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Norhidayah Mohd Rozi

Afzan Kamarudin 1

Mohd Nazrin Md Isa 1

Muammar Mohamad Isa 1

Razaidi Hussin 1

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Development of fruits artificial intelligence segregation

( 2021-12)
Norhidayah Mohd Rozi
;
Razaidi Hussin
;
Muammar Mohamad Isa
;
Syed Muhammad Mamduh Syed Zakaria
;
Afzan Kamarudin
;
Rizalafande Che Ismail
;
Mohd Nazrin Md Isa
;
Siti Zarina Md Naziri

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.

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Afzan Kamarudin

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