There is more to this method than meets the eye.

Why hire an expensive team of optical experts to develop a sensor solution of your own that could take months or years to develop? You can rely on our expertise at a fraction of the cost and significantly reduce time to market! Unique proprietary machine learning algorithms can be quickly tailored to recognize the differences in your product and make the decision to improve efficiency and reduce waste. We have made it easy for customers to improve the performance at any time with onsite Re-training of your system, or updates from an Ocean Optics Machine Learning Subscription.

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No need to worry about it retiring, going on vacation, getting sick, or requiring overtime pay.

Where food sorting was once all done by eye, new optical sensor technology can automate this process. An Automated manufacturing sorting process is a more sophisticated level of analysis than manual inspection; it ensures consistent quality and improves process efficiency, with the added benefits of being a non-destructive and non-contact quality assessment.

Combining this with unique, proprietary Machine Learning algorithms and a Machine Learning Subscription you will have a process line that can: learn faster, see more and decide quicker. It can also see differences that the human eye cannot detect, both on the surface and below the surface. Eliminate quality errors, reduce fatigue mistakes, and forget high turnover training.

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Now you can see inside!

Ocean Optics optical sensor paired with our Machine Learning capabilities can see inside your sample or product. Using our proprietary algorithms, Ocean Optics Machine Learning Services can teach your system to quantify not just aesthetics such as coating uniformity, color, or residual residues; but also for internal qualities such as contamination, chemical identification, and constituent concentrations.

This is your chance to partner with Ocean Optics to design the perfect software for your system. No matter the question, we can get you answers.

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“It honestly doesn't make much difference from a software standpoint if you want to sort dates or glass as long as it can be seen in the data.”

- Nelson Chandler
Director of Software and Electrical Engineering