Remote Monitoring System of Mechanical Manufacturing Equipment based on Digital Image Processing

Abstract

Precision instrument, machinery manufacturing equipment needs to use a monitoring system to monitor production details in real time during its production and processing. However, the traditional remote monitoring system has a weak ability to process monitoring images, resulting in a low peak signal-to-noise ratio of the system. The surveillance image is blurry. Therefore, based on digital image processing, a new remote monitoring system for machinery manufacturing equipment is designed. In hardware, the front-end of voltage signal acquisition is redesigned, and the communication circuit is optimized. In software, digital image processing technology is used to sharpen the image fuzzy contour, correct the image texture, and enhance the fuzzy details of the monitoring image; the remote positioning and monitoring function of the system is set to realize the remote monitoring of mechanical manufacturing equipment. Experimental results: Compared with the monitoring system under the traditional design, the peak signal-to-noise ratio of the remote monitoring system designed this time is much higher than that of the traditional monitoring system. Visible digital image processing technology can help the surveillance system to enhance the fuzzy details of the image.