Application of image recognition technology based on embedded technology in environmental pollution detection

Abstract In recent years, with the aggravation of environmental pollution, relying on the traditional detection of environmental pollution has been unable to meet the current requirements for the environment, the use of advanced technology to detect environmental pollution has become crucial. In order to meet the requirements of today's era, with the rapid development of image recognition technology, it is necessary to study how to apply it to environmental pollution detection. The image recognition technology based on embedded technology has the characteristics of high discrimination, high acceptability and strong touch sense. It is of great significance for environmental monitoring to make full use of image recognition technology. Image recognition technology is to capture the same environment by digital camera, and then store the obtained image by computer. The HSI model is used to quantify the stored photos, and the variance of the gradient function is used to form photos and images with different levels of clarity, so as to analyze the environmental pollution according to the quantified results. In this paper, the ambient air quality is taken as the research object, and HSI model is used to quantify, so as to analyze the correlation of air detection results.