Abstract

Abstract The natural, social, and cultural background of the development of the ice and snow sports industry. Ice hockey is a major winter sport played in the western countries, m mainly in one of the coldest countries in the globally. With increasing popularity in Western countries, good pass rates and ice hockey have been used as inspiration in the entertainment industry. In the previous method Image Recognition-based Ice and Snow Sports for Machine learning and IoT (Internet of thing). The previous method is difficulty in software management, large complexity of network structure. So in the proposed method Image Recognition of Ice and Snow Sports Based on FPGA (Field Programmable Gate Arrays) and Neural Network. Image processing is the process of converting an image into a digital format and obtaining a better image or performing certain operations on it to gather some useful information. It is a type of signal distribution that can be an image for pattern recognition using (Field Programmable Gate Arrays) based upon input image, output image, or its related features such as video frames or photos. Image recognition can be defined as data classification based on already acquired knowledge and models and/or statistical information gathered from its representation. One of the key elements of model recognition is its applicability. The system and adjust it to provide accurate results (An application-specific integrated circuit). Training depends on the algorithm used for the data, which is an important step in how many operations the system performs on the data provided to the system.

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