In this 30-minute presentation, we will explore the transformative impact of artificial intelligence (AI) on industrial computed tomography (CT) workflows, focusing on a newly developed AI-based denoising technology. This technology represents a significant advancement in industrial CT applications by addressing the challenge of noise in fast CT scans.

The AI-based denoising technology improves image quality and clarity by reducing noise, resulting in more accurate visualizations of the scanned sample. This enhancement allows for high-speed scans without compromising image quality, thereby reducing the total cost of ownership (TCO) and accelerating the overall scanning process. Additionally, the technology enhances system utilization and provides a faster return on investment (ROI), making it a valuable addition to any industrial CT setup.

We will also explore the challenges when using AI based postprocessing of inspection data and how to ensure the trustworthiness of this data. Users may question the reliability of AI-modified images, especially when critical decisions depend on the accuracy of these images. To address this, it is essential to implement validation protocols that compare AI-enhanced images with original high-quality scans. Additionally, transparency in the AI model's decision-making process can help build confidence in the technology.

In conclusion, the integration of AI-based denoising into industrial CT workflows represents a significant advancement in non-destructive testing capabilities. By leveraging AI to enhance image quality, reduce noise, and optimize scanning processes, this technology promises to deliver substantial benefits in terms of efficiency, accuracy, and cost-effectiveness. Join us to explore how this innovative solution can transform your industrial CT operations and drive better outcomes for your organization.