Ultrasound and machine learning for battery inspection
Inspect 100% of battery cells during production; Optimize electrolyte saturation time by 50%; Accelerate yield ramp by 10%; Detect problematic cells before formation; Monitor quality across multiple production facilities
Serves major battery manufacturers; Provides solutions for prismatic, pouch, and cylindrical cells; Offers analytics for performance prediction and defect classification