草莓实时生产线上的颜色分析

Gilbert Eaton, Andrew Busch, Rudi Bartels, Yongsheng Gao
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引用次数: 1

摘要

设计了一种新的系统,其中颜色分析算法有助于在快节奏的生产线上对包装草莓的成熟度进行分级。草莓质量系统以2punnets/s的速度获取图像,并将图像馈送给两个算法。使用CIELAB和HSV颜色空间,分析了欠熟和过熟的颜色特征,在多个缺陷样品上测量时,F1得分分别为94.7%和90.6%。单个缺陷分类结果分别为80.1%和77.1%。当前硬件配置的算法总时间最大为121ms,平均为80ms,远低于所需的500ms时间窗口。该算法已经评估了105,542个篮子,总共拒绝了4,952个(4.9%),这有助于确保运送给客户的产品的质量,避免昂贵的退货。
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Colour Analysis of Strawberries on a Real Time Production Line
A novel system has been designed where colour analysis algorithms facilitate grading ripeness of packed strawberries on a fast-paced production line. The Strawberry quality system acquires images at the rate of 2punnets/s, and feeds the images to the two algorithms. Using CIELAB and HSV colourspaces, both underripe and overripe colour features are analysed resulting in F1 scores of 94.7% and 90.6% respectively, when measured on multiple defect samples. The single defect class results scored 80.1% and 77.1%. The algorithms total time for the current hardware configuration is 121ms maximum and 80ms average, which is well below the required time window of 500ms. 105, 542 punnets have been assessed by the algorithm and has rejected 4, 952 in total (4.9%), helping to ensure the quality of the product being shipped to customers and avoiding costly returns.
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