Digitale Werksführung - Synthetic Data Generation for AI Training

Synthetic data generation is essential for AI training and provides large annotated data sets efficiently. Binpicking automation enables robots to find unsorted parts, which significantly reduces costs. This process accelerates AI model training by quickly generating the necessary data. Simulations enable early data generation and facilitate pre-installation training. The system supports continuous learning for rapid retraining with product changes, while future efforts will aim to improve simulation for reflective parts amid existing hardware design challenges.