Title: Embedded detection system based on edge computing cloud platform image sensor

Authors: Wei Xu; Yujin Zhai

Addresses: College of Modern Information Technology, Henan Polytechnic, Zhengzhou 450000, Henan, China ' College of Modern Information Technology, Henan Polytechnic, Zhengzhou 450000, Henan, China

Abstract: Aiming at the problems such as large volume, high price and insufficient flexibility of traditional imaging equipment in the current embedded inspection system, this paper aims to explore a method to optimise the embedded inspection system and make it better used in the industry. In this paper, a new embedded imaging device under cloud computing environment is studied first, and then image sensing technology is used to replace the traditional image data acquisition method, and image data is analysed and processed by cloud software. In order to verify the performance of the system, an empirical study is also carried out. The results show that in the embedded monitoring system of image sensor, the pixel detection rate of the smart operator in the night image detection is 7.4% higher than the original pixel detection rate. This shows that the system has good performance and can realise the night image detection well.

Keywords: edge computing; cloud platform image sensor; embedded detection system; Canny operator.

DOI: 10.1504/IJES.2023.141951

International Journal of Embedded Systems, 2023 Vol.16 No.5/6, pp.413 - 421

Received: 04 Apr 2023
Accepted: 31 Jan 2024
Published online: 03 Oct 2024 *

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