Swiss-based coffee company Sucafina and AI-driven predictive food ingredient profiler ProfilePrint have announced a co-investment in Csmart, a Brazil-based developer of AI-powered image recognition technologies for green coffee grading.
“We feel confident that Csmart’s proven image recognition technology will bring shared value to producers, importers, and QC professionals alike. This is not about replacing people but empowering QC professionals to become even more productive,” says Dave Behrends, Managing Partner and Head of Trading at Sucafina.
Founded by producer, quality control (QC) professional, and software developer Francisco Massucci Silveira, Csmart designs AI-powered image recognition technologies for coffee grading that aim to improve the coffee industry for producers, professionals, and roasters alike. Csmart’s latest image recognition green grading technology can rapidly scan a sample of green coffee beans and accurately identify defect count within minutes.
“Ultimately, we hope that collecting and analyzing data on a large scale will unveil new and valuable information about coffee production, enabling the incorporation of data-driven decisions throughout the coffee value chain,” Silveira says.
Currently, Csmart’s software can identify the total defect count and confirm screen size of a sample of green coffee. The forthcoming iteration of this software will be able to quantify each individual defect by type and take image scans of each identified bean. One of the main benefits of this technology is that it cuts down on the time and resource inefficiencies caused by sending green samples back and forth across the globe.
This new image recognition green grading technology will be complementary to ProfilePrint, which incorporates data from multiple sources to enable users to rapidly ascertain the suitability of ingredients without traditional sensory evaluation.
“Csmart’s image recognition technology provides additional key data points for our global ProfilePrint solution, bringing us closer to our goal of a device-agnostic data platform. It also increases the range and accuracy of our prediction capability, empowering buyers and sellers across the supply chain to increase productivity and significantly reduce carbon footprint,” says Alan Lai, founder and CEO of ProfilePrint.
With Csmart’s technology, green coffee can be scanned by the seller and an objective report delivered to the buyer for their review. This can significantly speed up the time it takes to approve a sample and reduce the carbon footprint of coffee sales.
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