Precision Calibration of Industrial 3D Scanners: An AI-Enhanced Approach for Improved Measurement Accuracy

Hengyi Zang

doi:10.5281/zenodo.11080006

Authors

Hengyi Zang Universidad Internacional Isabel I de Castilla Author https://orcid.org/0009-0006-8999-003X

DOI:

https://doi.org/10.5281/zenodo.11080006

Keywords:

Artificial Intelligence, Industrial 3D Scanners, Precision Calibration, Measurement Accuracy, Machine Learning Algorithms, Sensor Fusion, Data Analytics

Abstract

With the rapid development of intelligent manufacturing, there are important and challenging tasks in many aspects, especially in the calibration of 3D scanners. In order to improve the calibration accuracy, this paper proposes an innovative method that utilizes artificial intelligence (AI) for calibration. As we all know, precision 3D scanning is very important in many industrial applications. However, in complex environments, traditional calibration methods are often unable to meet the required accuracy requirements. To overcome the above limitations, we propose an innovative approach that combines advanced AI algorithms with traditional calibration processes. Through comprehensive and profound research, we use artificial intelligence enhanced technology to improve measurement accuracy. This reduces both time and resource costs. This research not only introduces a new calibration method for the field of industrial metrology, but also promotes the application of artificial intelligence in the field of precision engineering.

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