Patent ID: 11893810
Assignee: BÜHLER AG
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. An industrialized method for a system for rice grain recognition, the method comprising:
capturing optical images, using an optical capturing device;
transmitting the optical images to a digital platform over a data transmission network via a data interface;
analyzing the optical images, using circuitry at the digital platform;
providing a response to the rice grain recognition to the optical capturing device and/or a user device; and
using a segmentation module implemented by the circuitry, automatically segmenting the captured and transmitted optical images for grains by identifying optical image segments capturing grains or grain parts,
wherein, using a feature extractor implemented by the circuitry, measurable grain features are extracted from the identified grains or grain parts in the optical images, the features describing different parametrized aspects of the grains or grain parts by a feature extraction process at least comprising shape parameter values and color parameter values and/or spatial parameters and/or geometric parameters,
wherein, in a learning mode of the circuitry, a plurality of machine learning structures are sequential selected by a selector of a classifier, the selector applying the machine learning structures to the extracted grain features for rice grain recognition, and selecting an applied machine learning structure of the applied machine learning structures, which has a number of grains or grain parts classified as false positive regarding quality as low as possible while keeping an accuracy as high as possible, and
wherein the selected machine learning structure of the applied machine learning structures is further optimized by varying a discrimination threshold by a threshold trigger, wherein the classified false positives are further minimized to a determined threshold probability for a grain to be classified as good, so that a variation of the discrimination threshold varies a diagnostic ability of the system which is a binary classifier system related to the variation of the discrimination threshold.