dc.contributor.author | Norhidayah, Mohd Rozi | |
dc.contributor.author | Razaidi, Hussin | |
dc.contributor.author | Muammar, Mohamad Isa | |
dc.contributor.author | Syed Muhammad Mamduh, Syed Zakaria | |
dc.contributor.author | Afzan, Kamaruddin | |
dc.contributor.author | Rizalafande, Che Ismail | |
dc.contributor.author | Mohd Nazrin, Md Isa | |
dc.contributor.author | Siti Zarina, Md Naziri | |
dc.date.accessioned | 2022-04-15T00:39:27Z | |
dc.date.available | 2022-04-15T00:39:27Z | |
dc.date.issued | 2021-12 | |
dc.identifier.citation | International Journal of Nanoelectronics and Materials, vol.14 (Special Issue), 2021, pages 245-252 | en_US |
dc.identifier.issn | 1985-5761 (Printed) | |
dc.identifier.issn | 1997-4434 (Online) | |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74981 | |
dc.description | Link to publisher's homepage at http://ijneam.unimap.edu.my | en_US |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject.other | Artificial Intelligent | en_US |
dc.subject.other | Open VC | en_US |
dc.subject.other | Tensor flow | en_US |
dc.subject.other | Raspberry Pi | en_US |
dc.subject.other | image recognition | en_US |
dc.title | Development of Fruits Artificial Intelligence Segregation | en_US |
dc.type | Article | en_US |
dc.identifier.url | http://ijneam.unimap.edu.my | |
dc.contributor.url | shidee@unimap.edu.my | en_US |