AI in Sensor Calibration

Sensor calibration is a crucial process in ensuring the accuracy and reliability of data collected from various sensing devices. Traditional calibration methods are often time-consuming, require manual intervention, and may not adapt well to changing environmental conditions. The integration of Artificial Intelligence (AI) in sensor calibration has emerged as a promising approach to enhance precision, reduce human effort, and enable real-time adjustments. AI-driven techniques, including machine learning and deep learning, facilitate automatic error detection, drift compensation, and self-calibration of sensors across diverse applications such as healthcare, industrial automation, autonomous vehicles, and environmental monitoring. This paper explores recent advancements in AI-based sensor calibration, discussing key methodologies, challenges, and future research directions in this evolving domain.