Wan Nur Azhani, Wan Samsudin and Wai Fook, Wan and Mohd Zamri, Ibrahim and Kamarul Hawari, Ghazali and Ahmad Afif, Mohd Faudzi and Rohana, Abdul Karim (2021) Electronic components detection and recognition using deep learning for learning purpose. In: Creation, Innovation, Technology & Research Exposition (CITREX) 2021 , 2021 , Virtually hosted by Universiti Malaysia Pahang. p. 1..
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Abstract
To assist user in detecting and recognizing accurately the electronic components using deep learning approach. It is important to choose the correct electronic components to avoid circuit failure and accident occurred. An accurate detection system based on Single Shot Detector (SSD) framework integrating with the android application is presented to help users, especially students. This application is well developed for the learning purpose.
Item Type: | Conference or Workshop Item (Poster) |
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Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty/Division: | College of Engineering Faculty of Electrical and Electronic Engineering Technology |
Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
Date Deposited: | 06 Jul 2022 02:56 |
Last Modified: | 06 Jul 2022 02:56 |
URI: | http://umpir.ump.edu.my/id/eprint/34608 |
Download Statistic: | View Download Statistics |
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