Lost in Motion: Vision Language Models Fail the Dynamic Gauges Test
Researchers tested state-of-the-art Vision-Language Models (VLMs) as virtual instruments for reading analog gauges using a new dynamic dataset. The models failed to meet standards because they lacked temporal grounding and geometric accuracy, struggling to track needle motion reliably. This means current frontier VLMs are not yet trustworthy for safety-critical, real-time industrial monitoring.