Method of utilizing shapes, sizes and lines to sort dried fruits

Abstract

The invention discloses a method of utilizing shapes, sizes and lines to sort dried fruits. The method comprises the following steps: manually feeding materials and discharging materials and scattering areca catechus into single bodies by a driving type rotary material discharging device after the materials are fed; detecting the areca catechu in a rotating mode; imaging and collecting, wherein anindustrial camera in an imaging detection box shoots image information of 24 areca catechus for 8 times and sends the image information to an image processing system; recognizing shapes, sizes and lines of the areca catechus through the image processing system, comparing with models, utilizing a classifying mechanism to remove the areca catechus meeting the model characteristics, conveying the areca catechus not meeting the model characteristics to the next grade and repeating the step D; utilizing a PLC to control the classifying mechanism to discharge different grades of areca catechus outof set channel opening. According to the method disclosed by the invention, driving type rotary material discharging and rotary material overflowing are utilized, the areca catechus or red dates are rotated at 360 degrees by a driving type rotary cup, and the areca catechus or the red dates are nondestructively classified according to the shapes, the sizes and the lines; the classifying device canremove the areca catechus or the red dates at a high speed, and outlet grades can be set at will.

Description

technical field [0001] The invention relates to the technical field of photoelectric intelligent classification of betel nuts, in particular to an intelligent photoelectric sorting method based on machine vision and artificial intelligence for the shape, size and texture of areca nuts. Background technique [0002] Betel nuts: my country has introduced betel nuts for more than 1,500 years. Hainan and Taiwan are the main producing areas of betel nuts in my country. At present, the betel nut planting area in Hainan Province is 1.56 million mu, and the harvesting area is about 1 million mu. The annual fresh fruit output reaches 760,000 tons, and the dried fruit output is about 180,000 tons. 99% of my country's betel nuts are grown and produced in Hainan, but the development of Hainan's betel nut processing industry is seriously lagging behind. At present, the betel nut planting industry in Hainan mainly depends on the expansion of the Hunan betel nut processing industry. The b...

AI Technical Summary

Problems solved by technology

In the past, manual and mechanical grading were relied on. Manual grading required a huge workload, eye fatigue, and high processing costs.

Although the speed of mechanical grading is fast, it can only classify the size, and cannot classify the surface of betel nuts such as wrinkled dates, rotten dates, and skinned dates.

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