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Author: search.filters.author.Chaowalittawin, VasutornSubject: search.filters.subject.image processing

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    Modern Manufacturing for Alloy Wheel Defect Detection using Image Processing and Application
    (2024-01-01)
    Archevapanich, Tuaniai
    ;
    Krungseanmuang, Woranidtha
    ;
    Chaowalittawin, Vasutorn
    ;
    Sathaporn, Posathip
    ;
    Chaowalittawin, Punyisa
    This paper presents an innovative approach to identifying defects in alloy wheel production by integrating image processing techniques with a mobile application platform. The system receives X-ray alloy images from the factory via mobile phone, processes them using image processing techniques to enhance clarity and readiness for defect detection, and then transmits the processed images to a Django framework via a uniform resource locator (URL). Subsequently, the system detects defects in the images, encodes them in Base64 format, and sends them to the mobile application through an API (Application Program Interface) for display on the user interface. This well-designed system architecture offers manufacturers a comprehensive solution to ensure product quality, reduce costs, and enhance customer satisfaction.
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    Egg-Counting System Using Image Processing and a Website for Monitoring
    (2021-04-01)
    Kanjanasurat, Isoon
    ;
    Krungseanmuang, Woranidtha
    ;
    Chaowalittawin, Vasutorn
    ;
    Purahong, Boonchana
    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.