Research on intelligent sorting technology and equipment for winter jujube based on deep learning
In response to the problems of difficult sorting and low sorting accuracy of winter jujube,a winter jujube quality intelligent sorting machine was designed based on deep learning,the convolutional neural network model was built to accurately identify and classify the winter jujube;the winter jujube is rolled 360°to the image acquisition area,color space transformation,binary processing,image segmentation and other methods were adopted to extract the target of winter jujube to eliminate the influence of background on the detection efficiency;Arduino controls ON/OFF of eight relays to complete the sorting of winter jujube.The test results show that the average discriminating accuracy of the constructed winter jujube defect detection model reaches 98.12％,among which the discriminating accuracy of deformed fruit reaches 100％,99.6％ for diseased fruit,98.8％ for high-quality fruit,97.8％ for cracked fruit,and the average test time of each group reaches 149.32 ms;when the transfer speed is 0.5 m/s,the detection accuracy reaches 98.01％.The research is of significant importance for the winter jujube sorting work.
国家科技期刊平台
NSTL
万方数据
