Optical sorter Hyper Vision
for fruit

optical sorter
optical sorter
optical sorter
Add to favorites
Compare this product
 

Characteristics

Type
optical
Product applications
for fruit

Description

Our TOP of the range model guarantees the elimination of all defects, offering a level of efficiency never before achieved on the market. Hyper Vision is a Sorma Group patented system that selects the fruit according to internal and external quality, as well as recording diameter/colour and shape. Through the powerful Sormatech deep learning algorithms and thanks to the use of a considerable number of video cameras - 9 for each sorting machine line, 3 in colour and 6 NIR cameras - it analyses each point of the fruit’s skin at the same time, along the whole length of the band of visible and invisible light. The platform acquires and analyses overlaid hyperspectral images in both the visible region and NIR (an analysis method that exploits the interaction of the material with the radiations of the nearby infrared) for each fruit that rotates beneath the inspection system. The incredible precision in identifying flaws goes hand-in-hand with formidable speed: 15 fruits per second/line. Thanks to the exclusive Sormatech Hyper Map system, up to 108 images are processed for each product, making for a total of 1620 shots per second, per line. The result is a 360° vision of the fruit surface, which makes it possible to detect, classify and combat the slightest imperfection. The technology used allows fruits to be discarded if they show excessive ripening zones that cannot be detected by normal visual inspection, thereby allowing the fruit and vegetable companies to organise export plants to international markets with a complete guarantee of product quality, even after several days spent travelling.

Catalogs

*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.