Design of Double Channel Green Plum Quality Sorting Equipment
Green plums have high nutritional and medicinal value.Due to factors such as natural growth environment and compression and collision during storage and transportation after picking,various defects affecting quality and value may occur on the surface of green plums.At present,the defect detection of green plums in China mainly relies on manual sorting,which has high cost,low efficiency,and low accuracy.Therefore,this article takes green plums as the research object,introduces machine vision technology and deep learning algorithms,and develops a green plum grading system to achieve quality detection and automatic grading of green plums.After determining the types of surface defects,product grading indicators,and standards of green plums,the size of green plums was measured based on machine vision.Combined with deep learning,a green plum multi defect detection model based on Vision Transformer was established for quality sorting system.A detection device for green plum surface images was designed to achieve online non-destructive testing and grading of green plums.
万方数据
维普
