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Egg-Counting System Using Image Processing and a Website for Monitoring

Author(s)
Kanjanasurat, Isoon
Krungseanmuang, Woranidtha
Chaowalittawin, Vasutorn
Purahong, Boonchana
Date Issued
April 1, 2021
Type
Conference Paper
DOI
10.1109/ICEAST52143.2021.9426295
Abstract
This paper presents an egg-counting system method that uses a morphological operation and shows the results in real time on a website. The method begins with image acquisition from a Raspberry Pi camera and converts it to greyscale. A Gaussian blur filter is applied to reduce noise, and the blurred image is then converted to a binary image. Next, an opening operation is utilized to delete small objects from the foreground. Finally, the eggs in the image are counted using a contoured matrix, and the number of eggs is shown on a website. The system was able to count 100% of the eggs and showed the number of eggs in real time.
Citation
2021 7th International Conference on Engineering Applied Sciences and Technology Iceast 2021 Proceedings, 101-104, 2021
Subjects

contour detection

counting system

image processing

monitoring

opening

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