How to Automate Battery Quality Inspection with Image Interpretation

All you need to know to increase throughput and repeatability

Battery manufacturing is full of challenges. To deliver the expected performance, safety, and quality level, you must first understand the battery constituents. 

In this webinar, we will demonstrate how data from different imaging instruments and image interpretation software combine to deliver automatic, reproducible quality inspection that does not require operator involvement. 

You will learn:

• Some common challenges in battery manufacturing
• Different scales of imaging: computed tomography, scanning electron microscopy, and focused ion beam scanning electron microscopy
• How to reproducibly automate inspection with data interpretation

Speakers

Luigi is a process engineer working in materials science and characterization. With a background in spectroscopy and electron microscopy, he helps customers find the right tools to convert datasets into actionable data, track improvements, and identify imperfections in manufacturing or research processes.

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Patrick is a senior product application expert for materials R&D and industrial inspection. Since 1987, he has researched 3D visualization and advanced analysis in the medical, oil and gas, materials science, and industrial inspection fields.