Application of Computer Vision and Sensor Technology in Multivariate Assessment of Ecological Environment Carrying Capacity

Abstract

In order to solve the problems of low accuracy and long monitoring time of the existing ecological environment monitoring system, this study puts forward the application method of computer vision and sensor technology in the multivariate evaluation of ecological environment carrying capacity. In this method, the monitor, server, and spatial identifier are designed in the hardware area of the ecological environment monitoring system to maximize the monitoring performance according to the data memory. By analyzing the monitoring principles of RS technology and GIS positioning technology, the devices in the hardware area are reasonably called, and the workflow of the ecological environment monitoring system is summarized, so as to complete the optimization of the ecological environment monitoring system based on RS and GIS technology. The experimental results show that the monitoring accuracy of the ecological environment monitoring system proposed in this study is higher than that of the traditional monitoring system, with an average of 95.4%; the detection time is about 70 s, which is the lowest compared with other systems when the detection quantity is from 0 to 40 and the detection time is from 0 to 80. The designed monitoring system effectively improves the monitoring effect of the ecological environment and promotes the sustainable development of the ecological environment.

Research on slope algorithm based laser welding guidance technology for 3D vision inspection of thin-walled parts

“…There are an increasing number of different robot and visual sensing device types due to the growth of the welding robot industry and the widespread use of visual guidance technology, the common visual sensing methods are active vision and passive vision [1][2][3]. Based on the different kinds of light sources, active vision can be separated into laser and structured light.…”

Retracted: Application of Computer Vision and Sensor Technology in Multivariate Assessment of Ecological Environment Carrying Capacity

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”