IIUM Repository

Development of seven segment display recognition using TensorFlow on Raspberry Pi

Gunawan, Teddy Surya and Mohammad Reduwan, Haque and Yaacob, Mashkuri and Mohamed Azmin, Nor Fadhillah and Ismail, Nanang and Ismail, Md Yusof and Kartiwi, Mira and A. Rahman, Azhar (2022) Development of seven segment display recognition using TensorFlow on Raspberry Pi. In: 2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED), 28th - 29th July 2022, Sukabumi, West Java, Indonesia (Virtual Conference).

[img] PDF (Full Paper) - Published Version
Restricted to Registered users only

Download (6MB) | Request a copy
PDF (Scopus) - Supplemental Material
Download (346kB) | Preview


LED Seven Segment displays have become embedded in our daily lives, beginning with small devices like wristwatches and progressing to massive mechanical equipment used in industry. Every day, the application base for LED seven-segment displays expands in commercial and industrial applications. To facilitate industrial automation, the previous process's displayed information must be recognized as the input to the subsequent process, even more so when direct communication between processes is not visible. The purpose of this paper is to develop a recognition system for seven segment displays on the Raspberry Pi. The design of hardware, software, and algorithms will be discussed. SSD-MobileNet will be used for subsequent experiments, out of the two architectures evaluated, Tiny YOLO and SSD-MobileNet. Experiments on the Raspberry Pi 4 demonstrate that our proposed system is capable of accurately and quickly detecting seven-segment displays.

Item Type: Proceeding Paper (Invited Papers)
Uncontrolled Keywords: seven-segment display, object recognition, deep learning, TensorFlow, Raspberry Pi.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr. Teddy Surya Gunawan
Date Deposited: 10 Jan 2023 17:15
Last Modified: 23 Jan 2024 09:12
URI: http://irep.iium.edu.my/id/eprint/102470

Actions (login required)

View Item View Item


Downloads per month over past year