Discover how AI technology can transform X-ray inspection
Register now to gain insights into a new non-destructive X-ray simulation method for industries focused on food and product safety and quality.
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Image: Hamamatsu
Join the upcoming webinar Advancing X-ray Inspection with Artificial Intelligence: An Innovative De-noising Technology, aimed at those industries working in non-destructive inspection.
Hamamatsu Photonics, a leading company in the design, development, and production of optoelectronic components and systems, presents a newly developed de-noising technology based on deep learning algorithms and an innovative X-ray simulation method. Designed to reduce image noise and improve the detection of contaminants and defects, this represents a crucial development in ensuring quality and safety in the non-destructive testing and food industries.
Register now!
- Date: 25th September
- Time: 17:00 – 18:00 CEST
- Presenter: Dr. Sara Ziliani, PhD, Sales Engineer Industrial Applications, Hamamatsu Photonics Italia, specializing in industrial X-ray NDT, spectroscopy, and radiation monitoring markets.
- Moderator: Simon Whitbread, Group Leader and Technology Specialist - X-ray, Hamamatsu Photonics UK
Why join the webinar?
- Explore the implications of AI and deep learning algorithms in enhancing X-ray inspection.
- Gain insights into an innovative X-ray simulation method developed by Hamamatsu Photonics and how it can make a difference to you.
This webinar promises to bridge the gap between conventional X-ray inspection methods and the future of quality assurance and safety protocols.
