Low-Complex Real-Time Edge Detection with a Compact FPGA Architecture for Embedded IoT Applications

Rendevski, Nikola and Pajkovski, Darko and Kotevski, Zoran and Hristoski, Ilija and Markoska, Ramona (2018) Low-Complex Real-Time Edge Detection with a Compact FPGA Architecture for Embedded IoT Applications. 53rd International Scientific Conference on Information, Communication and Energy Systems and Technologies, Proceedings of Paper, 1. pp. 322-325. ISSN 2603-3259 (Print), 2603-3267 (Online)

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Abstract

In this work, we present a digital design of compact Field Programmable Gate Array (FPGA) - based architecture for real-time edge detection. At this point, we are focused on pure hardware realizations of filtering and edge-detection algorithms as widely used techniques for various industrial and entertainment applications. The advantage of FPGAs as digital signal processing (DSP) platforms for real-time video and image processing lays mainly in their reconfigurable and re-usable structure, capable to efficiently exploit spatial and temporal parallelism. Based on the results of the digital FPGA synthesis of pipelined Sobel edge detection architecture, we discuss on the potential and challenges towards design of low-complex pure hardware-based video processing devices for embedded IoT applications.

Item Type:	Article
Subjects:	Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions:	Faculty of Information and Communication Technologies
Depositing User:	Prof. d-r. Aleksandar Markoski
Date Deposited:	11 Oct 2021 18:01
Last Modified:	17 Apr 2024 09:48
URI:	https://eprints.uklo.edu.mk/id/eprint/6598

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