Tomra sorter defies gravity

The 640mm or 1,200mm sorter uses hyperspectral imaging to identify a unique fingerprint for each type of product, which then forms the basis of the sorting process.

The firm explains that every substance reflects different forms of light such as infra-red in different ways. That then creates a distinct profile for it.

Any product or defect is compared to this unique fingerprint and is rejected if there is no match. The hyperspectral method can deliver a high level of accuracy for high speed free fall applications, boosting yield, Tomra claims.

Groundbreaking​

The combination of high hyperspectral accuracy with the speed of free fall inspection was groundbreaking, it said.

Speaking to FoodProductionDaily at the IPA trade show, a Tomra spokesman, said: “Hyperspectrum cameras are used in a lot of applications. The fact that this machine can do this in free fall is the new thing.”​

In a statement about the launch of the Nimbus N, Steve Raskin, sales director for Europe, the Middle East and Africa at Tomra Sorting Solutions food division, said: “We have been testing the sorter in a number of nut applications so far, with very good results.”​

Improved sorting result​

“A number of major nut processors have already been using the machine successfully, experiencing an improved sorting result.​

“The existing Nimbus will continue to be part of our sorter range; it is now possible to combine the hyperspectral camera with double sided laser detection for an optimal sorting result.”​

Like other machines in Tomra’s Nimbus range, the Nimbus N can be equipped with front sorting or a rear ejection system for flexibility, low false reject and improved throughput, the firm says.