Year: 2025
Type: article
Abstract: 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.
Author: Rohit Suryawanshi
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409375984