To achieve real-time performance at 60 FPS for the automation of the foosball table, several improvements can be implemented:
Parallelization of Regression Models: Currently, the regression models are inferred sequentially for each rod. By parallelizing the inference process, all rods can be processed simultaneously, significantly reducing the overall inference time.
Optimization of Hardware: Upgrading the hardware components, such as the GPU, to a more powerful and efficient model can enhance the processing speed and contribute to achieving real-time performance.
Optimization of Camera Setup: Utilizing a camera with fixed exposure time and focus can eliminate motion blur and ensure consistent image quality, leading to more accurate predictions and faster processing.
Algorithm Optimization: Fine-tuning the algorithms and models to be more efficient and optimized for real-time processing can further improve the system's performance.
Diverse Dataset: Including a more diverse dataset with various lighting conditions and scenarios can enhance the model's robustness and adaptability to different environments.