Analog Gauge

Analog gauges, instruments displaying measurements via a needle on a calibrated scale, are the subject of ongoing research focused on automating their reading and understanding their underlying physics. Current efforts leverage machine learning, particularly convolutional neural networks (CNNs), to accurately interpret gauge images, even in challenging real-world conditions, achieving high accuracy in extracting numerical readings. These advancements have significant implications for various fields, including industrial automation, robotics, and data acquisition, offering efficient alternatives to manual data logging and reducing human error.