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.
Founded in 2017 from the National Measurement Laboratory at ITRI’s Center for Measurement Standards, the company focuses on automated optical inspection solutions for fluid systems. With its innovative nano-thin film technology, it overcomes the limitations of traditional liquid-phase sample inspection. Combined with advanced AI image recognition, the system provides nanometer-level raw imaging. In just 30 seconds, even the smallest particles in advanced semiconductor manufacturing processes become clearly visible—making it a key enabler for cutting-edge 3 nm production.
Name：Teresa Huang
Phone：03-6589633
Address：9F., No. 38, Chenggong 12th St., Zhubei City, Hsinchu County 302, Taiwan (R.O.C.)
Technology maturity：Experiment stage
Exhibiting purpose：Product promotion
Trading preferences：New products development
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