High speed electronic roller Grader for dates

the models available of the sizers are from 2 lines till 16 lines, through innovative engineering design we can offer complete lines for sorting dates based on size, colour and skin external defects including black spots and quantity of water

 External Quality defect system

MULTISENSOR MODULES FOR MEASURING SURFACE FEATURES. The modules acquire images of the visible part of the dates. The system is inclusive of the software for the qualitative analysis of the dates external surface. The analysis is based on the calculation of the distribution of the characteristics in the visible spectrum and in the near infrared (800-900 nm) for the visible surface of the dates. The software contains algorithms specifically developed for this type of fruits, with attention to the possibility to calculate the distribution of the areas of lighter color typically associated with parts of skin raised and detached from the pulp

DEFECT SORTING 

DEFECT DATES HYPERSPRECTAL CAMERAS

The task of Dayes grading in general involves a number of advantages: dates among them are subject to high variation in color , depending on variety, ripeness, and other conditions. Camera vision is a fast, economic, dependable and objective inspection and classification technique: An automatic fruit Camera recognition system which is able to identify with high speed and accuracy all product features such as size, defect, quality, color, texture, ripeness advantages to its users. Date sorting machines provide key benefits, ranging from fast and high-volume classification, savings in labor, consistent quality and reduced time-to-market. The dates sorting machine process can reach tens of thousands of pieces sorted per hour, an order of advantage which human sorting cannot even approach. The accuracy level of the automatic date sorting process is much higher , providing for a very reliable solution to minimize the time needed to bring product to the markets. Automatic dates classification The method implemented by our Vision extracts visual datas and features from the date. Several variables are taken into account. Length, shape, softness, intensity (among others) eligible variables which provide information to the computer vision system. Our method then gives this information to a machine learning scheme for automatic classification of dates. After proper training, performed by comparing data to a manual classifier – the system provides an excellent automatized dates classification. The benefits of this method for automatic dates classification are not only economic: our Cameras vision solution for date sorting are also hygienic and guarantee an objective assessment when market standards need to be meet.