Application of Environmental Noise Monitoring System Integrated with Visual Recognition Technology

Environmental noise is an imperceptible problem in daily life and has a significant impact on human health and quality of life. Thus, noise abnormalities need to be monitored. The cause of the noise is directly related to the environment and human activities. Because of the rapid development of micro-processing machines, image-processing equipment has become easily accessible so visual recognition technology with computer vision and machine learning rapidly develops. Facial recognition is one of the most developed technologies and gradually becomes applicable to various situations such as emotional awareness and safety monitoring. Long-term noise anomaly data and invasion data were collected using cloud edge flatbed integration. The abnormal time data and noise anomaly data were used to build an optimal model of feature detection.