Nikon IMBU has launched AI Reconstruction, a 3D computed tomography (CT) reconstruction software solution powered by artificial intelligence, aiming to balance the traditional trade-off between scan speed and image quality.
The software applies deep learning techniques to enhance image quality, enabling rapid results and superior analysis. The Deep Learning model underpinning AI Reconstruction is trained to distinguish relevant information from scan artifacts, effectively filtering noise and improving clarity.
This technology is expected to have a significant impact in sectors such as automotive, aerospace, manufacturing, and medical device industries, where meticulous quality control via precise metrology is essential for product safety. AI Reconstruction has been designed to comply with the European Union’s Ethics Guidelines for Trustworthy Artificial Intelligence, ensuring it meets key requirements for trustworthy AI systems.
Nikon’s AI Reconstruction is built on the same technology as Nikon’s LiB.Overhang Analysis, a software to analyze anode overhang in lithium-ion batteries in mass production.
AI Reconstruction improves image quality so that scans can be easily analyzed using industry-standard software. This means many more sectors can benefit, creating new opportunities for improvement in areas including castings, additive manufacturing, academia, research, and many more.
Nikon’s AI Reconstruction is provided as a tailored service, with an experienced Nikon Applications Engineer partnering directly with each client to train an accurate model using samples from a target workflow. The launch of AI Reconstruction will see Nikon focus on LiB cell production, where the company is already a partner for many manufacturers.
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