Image recognition of sports training based on open IoT and embedded wearable devices

摘要

Computer Vision (CV) is a branch of artificial intelligence that is used to create a system for preparing a computer to understand and eliminate problem with artificial sense and images. Since video is a continuous image, or "shell" classification, this is more it can be used for recording. CV Visually they want to do something with the support framework visual inspection and learning model and high dynamic and visually complex simulation of human visibility part of the precision identification team use real-world images to transform real-world images. Supported vector machines can be used for incredible continuous order in order to be an asset, regular helper vector machine which has high stable performance. Therefore, depending on the installation of the adhesive hop field stabilizing the vector machine image, it is shown in this article. First, the first paragraph is used to prepare the screen confirmation model for deleting image elements based on population, input data acquisition technology invention, and two measurements each program, including carrier information, falls into the blur frame form of an image measurement carrier. At this point, can use the support vector machine 6 alone, the hop field of the support vector machine. The test results may confirm Support Vector Machine (SVM) capability in the hop field of insertion, show it in class 7, to realize an image that is clearer than conventional SVM.