Application Note

Machine Vision For Golf Simulators

Source: Edmund Optics

By Gianna Figueroa, Adarsha Sarpangala, Jayesh J. Nair, Edmund Optics

The integration of machine vision technology has revolutionized the way golf is practiced, enabling enthusiasts to hone their skills indoors through immersive simulations. As the global golf simulator market continues to expand, valued at $1.5 billion USD in 2022 with a projected growth rate of 9.2% through 2031, the role of machine vision becomes increasingly significant. These simulators utilize machine vision lenses, cameras, and sensors to meticulously track the user's motions, club movements, and ball trajectories, facilitating comprehensive analysis and improvement of one's game.

In this article, we delve into the various types of golf simulator technologies, including photometric, infrared, and radar-based systems. Photometric simulators, favored for their versatility and precision, employ high-speed cameras to capture crucial swing dynamics and ball behavior. Meanwhile, infrared and radar-based systems offer alternative approaches suited for specific environments and space constraints. Furthermore, we explore the critical components of machine vision systems for golf simulators, such as cameras and imaging lenses. Factors like frame rate, global shutter functionality, digital interfaces, and resolution are meticulously considered to ensure accurate analysis of golf swings and ball trajectories.

As the demand for advanced golf simulator systems continues to rise, the expertise of application engineers becomes invaluable in selecting and integrating the optimal components. By leveraging machine vision technology, golf enthusiasts can elevate their practice sessions and refine their skills with precision and efficiency.

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