RETRACTED ARTICLE: Application of optical imaging detection based on embedded edge computing in the evaluation of forest park tourism resources

With the development of tourism, it is necessary to understand and evaluate the status of tourist resources in forest parks in order to improve visitor experience and manage forest parks. This paper presents an embedded edge computing method, which uses optical imaging technology to monitor and evaluate tourism resources in forest parks. Select the appropriate optical imaging equipment and embed it into the forest park monitoring system. Then the optical image data of each corner of the forest park is collected by the equipment, and these data are preprocessed and analyzed. A computer vision algorithm is used to detect, extract and recognize tourist resources in optical images, such as scenic spots, plants and animals. By combining embedded edge computing technology with optical imaging, accurate and detailed evaluation results of forest park tourism resources are obtained. These results can provide valuable information to forest park managers to help them understand the utilization of tourism resources, hot spots and room for improvement, so as to enhance the tourism experience and sustainable development of forest parks.