Injection Seal Inspection
Examine battery cell injection seal welds with deep learning solutions
Graphical programming environment for deep learning-based industrial image analysis
After a battery cell’s top cap has been welded and tested it is filled with the liquid electrolyte that conducts electrons within the battery. When filling is complete, the filling hole is welded closed. Because of the risk of heat damage to the anode, cathode, and electrolyte, this is done with a low-heat laser weld.
Any electrolyte contamination or welding flaws resulting in electrolyte leakage will lower cell efficiency. An electrical test of the filled and sealed cell could reveal the existence of a problem before the cell moves on to be installed in a module, but this method is not completely reliable. Proper assessment of the injection seal welds is key to the functionality and lifespan of the entire battery.
Cognex Deep Learning simplifies and automates the identification of any woodgrain trim or carbon-textured pattern pieces prior to installation. It is trained on a set of labeled images containing many examples for each type of decoration panel. Using this data set, Cognex Deep Learning quickly distinguishes even extremely similar woodgrains or other patterns from each other, ensuring that the right type of panel is always installed according to specification.