Use Case

AI-Powered Urinalysis for Automated Sediment Detection

Automated, accurate, and efficient urinalysis with CNN-based embedded vision system

Urine sediment examination plays an important role in diagnosing kidney and urinary tract disorders. However, manual microscopy is slow, dependent on user skill, and often inconsistent. Laboratories require higher throughput, stable accuracy, and predictable costs without adding complexity to daily workflows.