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A Novel approach for Image Processing based on colluding of Raspberry-Pi and FPGA adopting IoT | IEEE Conference Publication | IEEE Xplore

A Novel approach for Image Processing based on colluding of Raspberry-Pi and FPGA adopting IoT


Abstract:

Internet of Things (IoT) enters every aspect of life, image processing has advanced to a new level. Numerous applications in the field of image processing, such as image ...Show More

Abstract:

Internet of Things (IoT) enters every aspect of life, image processing has advanced to a new level. Numerous applications in the field of image processing, such as image filtering and processing, are being produced using these systems. This system's realization was finished using a Raspberry Pi and acheap FPGA called the ZedBoard Zynq 7000. The output for the original image has been acquired after going through many imageprocessing filters, including the Gaussian, Sharpening, and Average filters, and the results have been shown on a VGA monitor. Also for Lena's 256x256-pixel image, edge detection and grayscale processing have been carried out. It has been seen that chips are being used.
Date of Conference: 06-08 July 2023
Date Added to IEEE Xplore: 23 November 2023
ISBN Information:

ISSN Information:

Conference Location: Delhi, India
References is not available for this document.

I. INTRODUCTION

The Xilinx Corporation created the FPGAs before thirty years passed [1]. These FPGAs are utilized today for many different things, including image processing and automatic irrigation systems. Many research fields leverage the many FPGA-based applications of IoTs enabled devices. The growth of IoT devices has led to the development of a variety of gadgets, which has reduced the need for human labor [2]. The current scenario is illustrated in figure 1, where web server-based Verilog-VHDL code is created to create an IoTs-based VLSI design.

Select All
1.
S. Dhote, P. Charjan, A. Phansekar, A. Hegde, S. Joshi and J. Joshi, “Using FPGA-SoC interface for low cost IoT based image processing,” 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, India, 2016, pp. 1963 - 1968, doi: 10.1109/ICACCI.2016.7732339.
2.
K. Selvaraj, S. Alagarsamy and M. Dhilipkumar, “Raspberry Pi based Automatic Door Control System,” 2021 3rd International Conference on Signal Processing and Communication (ICPSC), Coimbatore, India, 2021, pp. 652 - 656, doi: 10.1109/ICSPC51351.2021.9451687.
3.
Wilkinson, Matthew, Michael C. Bell, and James IL Morison. “A Raspberry Pi‐based camera system and image processing procedure for low cost and long‐term monitoring of forest canopy dynamics.” Methods in Ecology and Evolution 12. 7 ( 2021 ): 1316 - 1322.
4.
H. K. Kondaveeti, D. Bandi, S. E. Mathe, S. Vappangi and M. Subramanian, “A Review of Image Processing Applications based on Raspberry-Pi,” 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2022, pp. 22 - 28, doi: 10.1109/ICACCS54159.2022.9784958.
5.
Singh et.al, “Real Time Image Processing System ”, Proc. IEEE VLSI Design and Test Symposium 2005, pp. 151–158
6.
Joshi et. al., “Recofigurable Implementation of Wavelet based Image Denoising ”, Proc. 49th IEEE MWCAS 2006, pp 475 - 478.
7.
Zalak. D, Shivank. D, and Joshi et. Al “Network on Chip Based Multi-function Image Processing System using FPGA ”, Proc. IEEE ICACCI 2015, pp 488 - 492.
8.
Shivank. D, Zalak. D, Joshi et. Al “Reconfigurable Image Processor using an FPGA-Raspberry pi Interface ”, IJCA Proc. ICCT 2015, pp 11 - 15.
9.
W. Dally, “Virtual-Channel Flow Control,” IEEE Transaction on Parallel and Distributive System, vol 3, no 2, March 1992, pp 60 - 68.
10.
B. Bosi, G. Bois and Y. Savaria, “Reconfigurable Pipelined 2D Convolver for Fast Digital Signal Processing ”, IEEE Trans. On VLSI Systems, Vol. 7, No. 3, Sept. 1999.
11.
Jinalkumar. D, Joshi et Al “Implemening a Cloud based Xilinx ISE FPGA Design Platform for Integrated Remote Labs ”, Proc. IEEE ICACCI 2015, pp- 533 - 537.
12.
Joshi et. al. “Multicore Image Processing System using Network on Chip Interconnect ”, Proc. IEEE MWSCAS 2007, pp 1257 - 1260.
13.
R. C. Gonzalez and P. Wintz, Digital Image Processing–Second Edition, Addison-Pearson Education Publishing Company, 2005.
14.
Ajay Rupani, Deepa Saini, Gajendra Sujediya and Pawan Whig, “A Review of Technology Paradigm for IOT on FPGA ”, IJARCCE-International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Issue 9, pp.- 61 - 64, September 2016.
15.
Trimberger S.M, “Field–Programmable Gate Array Technology ”, Kluwer Academic Publishers, 1995.

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