This AI-powered imaging system detects micro-contaminants in liquids efficiently, overcoming limits in identifying translucent and mixed particles. It uses deep learning to classify soft particles, crystals, hard granules, agglomerates, and bubbles, enabling real-time analysis and improved data consistency.
Combining deep learning with liquid flow features, FlowTrack detects contaminants in static and dynamic states. It fits various industries, especially wet-process steps, as a key tool for quality control. It offers fast classification, tracks trends, traces sources, cuts downtime, and boosts yield and product quality.