Singapore Aquatics adopts drone technology and artificial intelligence in training

Full Article

Singapore Aquatics has introduced a cutting-edge system that combines drone technology and artificial intelligence to enhance swimmer training. This innovative approach allows coaches to monitor swimmers' performance in real-time, identifying critical factors affecting speed and technique. The system, developed by researchers from Singapore Management University and Singapore University of Technology and Design, segments an athlete's body into 17 points for detailed analysis.

The integration of this technology aims to optimize training programs and improve performance ahead of major competitions like the World Aquatics Championships and SEA Games. Coaches can now gain insights into swimmers' techniques, such as symmetry and stroke duration, which were previously difficult to assess from the poolside. This advancement not only enhances training effectiveness but also positions Singapore Aquatics to remain competitive on the global stage.

Key AI Highlights in this Article

• AI and drones enhance real-time performance analysis for swimmers.

• The system segments athletes' bodies for detailed training insights.

Key AI Terms Mentioned in this Article

Artificial Intelligence

AI is utilized to analyze swimmers' performance data and provide real-time feedback.

Computer Vision

Computer vision algorithms are employed to recognize human poses and swimming events.

Real-Time Analytics

Real-time analytics allow coaches to adjust training strategies based on immediate performance data.

Companies Mentioned in this Article

Singapore Management University

SMU is involved in developing the AI algorithms that enhance swimmer training techniques.

Singapore University of Technology and Design

SUTD collaborates on the project, providing engineering expertise for the drone technology.

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