Oslo Battery Days 2024

Join us at Oslo Battery Days, a conference focusing on the latest developments in battery technology and Energy Storage Systems.
August 19th, 20th and 21st, 2024
8:00am - 5:00pm
Grand Hotel, Karl Johans 31, Oslo

Important industry sectors, such as the automotive industry, are recognising the numerous advantages of computed tomography (CT) as an excellent and reliable method for inspecting battery parts. Nikon Metrology’s X-ray CT technology is leading the way for battery inspection and validation processes, providing valuable insights and ensuring quality assurance.

The battery market is experiencing rapid growth as energy storage becomes an increasingly crucial challenge in the transition towards more sustainable energy solutions.

Batteries are becoming more prevalent across various sectors, from household appliances and electronic consumer goods to innovative automotive and energy storage systems (ESS).

Nikon Metrology’s X-ray CT technology offers the critical insight required during the research and development (R&D) of new battery types. It provides a non-destructive method for analysing products as part of quality assurance and control processes.

Nikon is attending the 6th OBD Battery Conference, the leading battery conference in Norway, where leading private and public companies, start-ups, investors, academics, and businesses interested in the battery revolution will be present.

Visit Nikon at table 22 to learn more and discover the advantages of X-ray CT when inspecting battery parts.

And don’t miss the opportunity to attend the presentation titled “Lifting the Limits: Utilising Deep Learning AI with X-ray Computed Tomography,” presented by Chris Price, X-ray CT Product Manager, on August 19th at 2:30 PM.

Traditionally, CT users have been made to choose between faster but lower-quality; or slower but higher-quality CT scans. Important details may be missed in the trade-off for increased throughput. In this presentation you’ll learn how AI Reconstruction breaks this compromise by using Deep Learning to filter noise and improve clarity.

Trained to distinguish relevant information from scan artifacts, users benefit from automated enhancement tailored to their specific needs, allowing users to discover subtle flaws which may have previously been invisible to standard CT, while simultaneously boosting the speed of routine inspection.

Event Details

Event Location
Grand Hotel, Karl Johans 31, Oslo
Event Type
Live Event
Event Date
August 19th, 20th and 21st, 2024
Event Times
8:00am - 5:00pm
Stand Number
22
Speaker Name
Chris Price
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