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International Journal of Advanced Engineering Application

ISSN: 3048-6807

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Embedded System Design for Real-Time Image Processing Applications

Author(s):Vikram Reddy1, Shilpa Goud2, Ritesh Kulkarni3, Pooja Deshmukh4, Manish Reddy5

Affiliation: 1,2,3,4,5Department of Electronics and Communication Engineering, Aurora Technological and Research Institute, Hyderabad, Telangana, India

Page No: 22-27

Volume issue & Publishing Year: Volume 2 Issue 8 , Aug-2025

Journal: International Journal of Advanced Engineering Application (IJAEA)

ISSN NO: 3048-6807

DOI: https://zenodo.org/records/17624283

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Abstract:
Embedded systems have become an essential backbone of modern digital applications, with real-time image processing emerging as one of their most impactful domains. The increasing demand for intelligent vision-based solutions in areas such as healthcare, automotive safety, industrial automation, and security surveillance has accelerated research on resource-efficient embedded architectures. Unlike conventional computing platforms, embedded systems impose stringent constraints on processing power, memory capacity, and energy consumption. This paper presents a detailed study on the design considerations, computational models, and optimization strategies that enable efficient real-time image processing in embedded environments. By integrating hardware accelerators, optimized algorithms, and specialized system-on-chip (SoC) architectures, embedded systems can achieve low-latency performance while maintaining portability and cost-effectiveness. The work also examines the challenges associated with handling high-resolution image streams and the role of parallelism and deep learning integration in overcoming these barriers

Keywords: Embedded Systems, Real-Time Image Processing, FPGA Acceleration, Low-Power Design, Edge Computing

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