How to make scoring more fair?The AI judge takes a look


Qilu Evening News · Qilu One point reporter Zhang Di In the Winter Olympics, many events need to be scored by the judges to determine the place.With artificial scoring inevitably controversial, technology has provided a more accurate approach to sporting fairness at this Winter Olympics.Artificial intelligence (AI) referees were used to a certain extent during an earlier test event at the Beijing Winter Olympics.In skilled sports such as freestyle skiing and figure skating, the AI scoring system captures and records movements and scores them based on basic criteria.AI judges based on digital and 3D technology can overcome complex factors such as height and light to capture the minute movements of athletes, and provide customized solutions for athletes before competition by replicating and breaking down their movements.On January 21, 2022, AI auxiliary scoring system product release 1.0, figure skating, the auxiliary system is according to the Chinese figure skating athlete use requirements, application of AI + vr solutions, using computer vision technology algorithm and deep learning, the athlete’s overall trajectory can be real-time tracking,According to professional scoring standards, the human skeleton and body movements of video data are captured and recognized, so as to realize the stability and visual competition evaluation.For the technical team, the development of AI referee is not an easy exploration.Figure skating is one of the sports events with the most complex competition rules and the highest difficulty in scoring. Judges need to give precise technical scores according to the types, difficulty coefficient, completion status and standard degree of movements in high-speed and complicated movements, which can be seen in the difficulty scoring assisted by AI technology.In order to promote the project, the zhongguancun technology team found out the figure skating international challenge after the rule, team cooperation and communication and related colleges and universities, for nearly a video, thousands of zhang action samples frame by frame tagging and memory, make the AI system by capturing the athlete’s shoulder across knee, ankle and other eight point action to identify and determine accurately.Within two months, version 1.0 of the ai-assisted system developed by Huayao was launched, which can judge athletes’ movements and capture the interaction between people through planar video.In version 2.0, the auxiliary system will be able to identify overlapping athlete scenes through portrait capture, render and score them in 3D.This ai-assisted scoring system for figure skating has not been officially used in the Venues of the Winter Olympics yet. It is mainly applied to the scoring and detection of pre-competition training. Computer vision technology algorithm and deep learning are used to track the overall movement trajectory of athletes in real time to realize the stability and visualization of competition judgment.As the technology continues to mature, the system can not only be used in professional figure skating events, but also widely used in practice grading, film and television production and other scenes, which is an important crossover attempt to use artificial intelligence and other advanced technologies to enable the sports industry.We also hope that the AI-assisted scoring system will continue to evolve and appear in the arena as soon as possible.

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