On the Establishment of E-referee for Sailing Ships Based on Deep Learning

Abstract

The Taiwanese government is advocating the maritime activities of "Salute to the Sea". Nowadays, sailing is a popular leisure activity in Taiwan and it is also an Olympic event. Sailing competition is a large-scale competition, so it needs multiple referees and aerial photography to supervise. However, due to the large number of sailboats and the large range of activities, the need to supervise the audience through the referee is a big problem. This article builds on the basis of deep learning to build a sailing electronic referee. If there is a possibility that the sailboat may violate the rules by turning on the motor, this article will make a judgment and notify the referee. This article builds a system to help the referee's work, and uses the aerial shooting machine for compre-hensive shooting monitoring to facilitate the fairness of the sailing competition. From the experimental results, it can be known that the method proposed in this arti-cle is feasible, and the film can also be transmitted back to the platform for archiving.