Oculus, uses 360º vision, which allows for easy and effective inspection of every part of the tuber, infrared cameras for the most effective identification of greens, and the latest digital colour cameras delivering market leading resolution of up to 0.25 mm sq pixel size for exceptional accuracy of defect identification.

Oculus identifies and sorts extremely easily and effectively for a range of surface abnormalities and diseases, including bumps and notches, skin discolouration, green and dark colours and common defects like green and mechanical damage, common scab, cracks and black dot.

• Up to 16 images of the surface of each individual potato
• Roller system that provides a complete 360o rotation of the tuber
• Sorts by size, shape, colour and texture of the surface
• Highly accurate grading for food safety defects, including rot, greens, scurf, mechanical damage and growth cracks
• Flexible sorting into three grades with any grade directed to any outfeed
• Outstanding gentle handling of the crop with low drop points
• High grading performance: up to 95% effcient
• Detailed data collection of grading results and throughput, with data easily exported to an Excel document
• Capable of sorting both peeled and washed potatoes
• 20% more surface area seen over typical ‘cascade’ sorter