Inspection of Pressure-Relief Protection in Battery Cells

Inspecting safety valves and rupture discs for defects with 2D/3D machine vision + AI

Challenge

Safety valves and rupture discs in battery cells are small, safety-relevant components where even subtle deviations can impact pressure-relief performance. Manual inspection can be inconsistent and difficult to scale, while traditional rule-based vision systems often struggle with natural variation in surface appearance and the range of possible defect types.

Solution

To ensure every cell meets safety requirements, senswork uses 2D and 3D machine vision combined with AI to precisely inspect safety valves and rupture discs. The 2D imaging captures fine surface details and visual anomalies, while 3D vision evaluates geometry to detect deformation or dimensional deviations. AI-supported image processing enables automated identification of defects and out-of-tolerance conditions, even when appearance varies across parts and production conditions. This ensures the functionality of pressure-relief protection by verifying that safety-critical features meet requirements consistently for every battery cell.

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Result

By combining 2D and 3D vision with AI-based defect detection, the inspection becomes a scalable screening check that ensures pressure-relief protection integrity in every battery cell. This enables early detection of defects and automated quality control and offers consistently high reliability.

Are you interested in learning more about how machine vision technologies are used in the EV industry? Click here to learn more.