Intelligent environment monitoring system and method based on image recognition

Abstract

The invention provides an intelligent environment monitoring system based on image recognition. The system includes: an image collection unit, which is used for collecting images in an environment monitoring area; a task distribution unit, which is used for carrying out task distribution on the image collection unit; an image preprocessing unit, which is used for preprocessing the collected images, and screening the images after processing according to a task; an image analysis unit, which is for recognizing images after screening according to a deep neural network; and a disposal and emergency-response unit, which is used for carrying out matching with preset emergency-response schemes according to recognition results of the image analysis unit to generate a matching result, and output the same. According to the system, an existing image collection system can be utilized to preprocess and screen the images without the need for adopting large-scale laying of special sensors, costs canbe reduced, the intellectualized and highly efficient environment monitoring system can also be realized, environment-related problems can be more intensively and precisely fed back, and a powerful tool and solution are provided for environment protection work.

Description

technical field [0001] The invention relates to the field of environment detection, in particular to an image recognition-based intelligent environment monitoring system and method. Background technique [0002] With the economic growth, the resources stored in nature are widely developed and utilized. Due to the establishment of densely populated large cities and industrial and mining areas, a large amount of chemical substances have entered the environment, surpassing the self-purification ability of nature, and continuously accumulating in the environment, resulting in public hazards that endanger human survival. In order to find the reasons for the change of environmental quality, it is necessary to start with the analysis of the nature, source, content and distribution of pollutants. However, to judge whether the environmental quality is good or bad, it is not enough to analyze the sample of a single pollutant for a short period of time. There must be data representing...

AI Technical Summary

Problems solved by technology

[0003] At present, the monitoring of the environment generally uses special sensors (such as particle detectors) or manually collects samples for evaluation (such as manual random inspection of dust pollution on construction sites). These monitoring methods generally require the deployment of a large number of special sensors. On the one hand, the cost is relatively high. On the other hand, the construction is often difficult, and the efficiency of manual monitoring is very low, and is limited by the experience of the operator, and the monitoring results will be inaccurate due to human factors

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