Synthetic data generation is a game-changer for industries operating in complex industrial, remote, or sensitive environments, where obtaining real-world data can be costly, time-consuming, or have privacy concerns, or simply can't account for all types of scenarios. NVIDIA Omniverse Replicator can generate highly realistic synthetic datasets tailored to train computer vision models used in specific industrial scenarios. When combined with Edge Impulse, users can rapidly create professional-grade industrial machine learning models that can run on resource-constrained devices. We'll showcase real-world industrial data collection that previously required manual data collection and can now be achieved with the Omniverse Replicator. These will include warehouses employing asset tracking tags, detecting vehicles in remote locations, and more. We'll show how these scenarios are completed with randomized lighting conditions, camera positions, and material textures, resulting in a dataset that can surpass in-person data collected. Join us to hear about Edge Impulse’s real-world industrial edge solutions that leverage synthetic data from Omniverse Replicator.