Driving the Future of Food Analysis with AI/ML (Livestream)

Lack of consistency in food ingredients, in terms of sensory or quality parameters, costs the industry millions of dollars annually. With a combination of sensor technology and pattern recognition, ProfilePrint’s rice grain model leverages VIS-NIR spectroscopy to tackle the consistency challenges.

ProfilePrint is an AI-driven predictive and prescriptive profiler powered by patented fingerprint technology, which can rapidly predict the quality and profile of a food sample within seconds. Verticals include rice grains, green coffee beans, tea flour, cocoa, oil, and many more.

Join our session for a demonstration of how ProfilePrint’s technology works on rice grains and green coffee beans and how its combination of hardware and software can generate insight to maximise efficiency and agility, augmenting businesses’ competitive edge for growth and resiliency.

Speakers:
Ellis Chua, Chief Commercial Officer, ProfilePrint
Barnabas Yim, Data Scientist, ProfilePrint

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