Implemention of Image Processing Platform on Low-cost ZedBoard FPGA Using Xilinx-Vivado

The execution of complex functions and high computational tasks remains a major obstacle to efficient and transparent real-time processing. Overcoming these challenges is essential to unlocking the full potential of image and video processing technologies, and enabling their widespread adoption across diverse industries and applications. The main objective of this paper is to design an integrated image processing system based on ARM processor. This system aims to perform feature extraction and facilitate the high-speed of data transmission. The implementation results highlight the successful use of system resources, showing efficient allocation of hardware components and computing resources. Through careful design and optimization, we have achieved efficient use of available resources, ensuring that hardware IPs and associated algorithms are effectively exploited to achieve optimum performance.