red) show that it takes 0.1 s to count 150 shrimps and the precision rate is about 95%.īrosnan T, Sun D-W (2004) Improving quality inspection of food products by computer vision-a review. Experimental results of counting shrimps ( Neocaridina heteropoda var. Concerning the performance and reliability, we process the image using Amazon Web Service (AWS) Lambda function. The steps of image processing for accurately counting shrimps are as follows: (1) read the image graphic, (2) filter and remain the sampling color, (3) threshold the image, (4) contour the shrimps in the image (5) count the number. This research is, therefore, mainly designed to apply the machine vision to undertake the counting of shrimps automatically. OpenCV (Open Source Computer Vision) provides plenty of machine vision applications and often cooperates with the Raspberry Pi to enhance the use of machine engineering for commercial products. Almost six-tenths of global ornamental shrimps are from Taiwan. According to the statistics of the Ornamental Fish Association, Taiwan has exported 18 million ornamental shrimps annually since 2010. The pet market is getting growth rapidly in the world, and the ornamental fish occupy the third in the market ranking, behind dogs and cats.
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