Extraction systems are becoming more complex. Unfortunately, countless chances for human error come with complexity. Automation and AI (Artificial Intelligence) are the answer.
Most technicians use a ratio-based extraction approach. But every biomass extracts differently, so your ratio must constantly change, leaving too much potential for human error. As a result, you might either under- or over-extract, wasting time and damaging product quality.
You can train our AI sensor to find specific products and impurities or compare your CRC (Color Remediation Column) input and output streams to understand when all the desirable elements are removed from the media.
You can train our sensor to identify different products in your solvent stream. Each sensor follows the same calibration sequence before shipment. You can accept trained spectra from other sensors and use a traditional pigment tracker to sample the product you want to train. You can also copy weights to the extraction sensor for live search during extraction.
Our AI sensor helps you monitor solvent saturation during extraction making it easy to understand when the solvent stops picking up product as it flows through the biomass.
You can also use this process with a post-CRC sensor to maintain an active solvent reference, making it significantly easier to understand when all the product leaves the CRC column.
Make better decisions; maximize your extraction time and processes.