Digital Signal Processing (DSP) Platforms for Embedded IoT Applications
Nikola Rendevski, Darko Pajkovski, Zoran Kotevski, Ilija Hristoski, Ramona Markoska
Progress in Machines and Systems, Vol. 10, No. 2, 2021.
DOI: https://doi.org/10.6025/pms/2021/10/2/55-61
Link: https://www.dline.info/pms/fulltext/v10n2/pmsv10n2_3.pdf
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.