Join us for dat two in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics.

U.S. manufacturing productivity (output per labor hour) has been stagnant since 2008, driven by a stall in technology integration as well as available workers. RIOS Agents are collaborative AI perception and control systems that act as plant managers' eyes on the ground. Our Agents become specialists in a process, observing process steps, reporting on them, and ultimately controlling them by integrating into new or existing equipment. This enables factory production to be optimized in a way that was previously not possible.

In this session, Steve Xie, CEO of Lightwheel, shares how simulation-first workflows and high-quality SimReady assets are transforming the development of visual AI in manufacturing. From warehouse anomaly detection to worker safety and object identification, Steve will explore how physics-accurate simulation and synthetic datasets can drive scalable AI training with minimal real-world data. Drawing from Lightwheel’s deployment of robot models like GR00T N1 in factory environments, the talk highlights how unifying vision, language, and action in simulation accelerates real-world deployment while improving safety, generalization, and efficiency.

When deploying models for inference, just exporting the models and calling them via the inferencers do not work. There are challenges related to pre-processing and post-processing. Any deviation in these steps during inference impacts performance. This talk is about how we re-designed components of Anomalib to integrate pre and post-processing steps in the model graph.