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p-Index From 2021 - 2026
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All Journal Journal of Robotics, Automation, and Electronics Engineering
Nurul Budi
Universitas Negeri Yogyakarta
Electrical & Electronics Engineering Engineering

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Prototype of a Coffee Bean Weight Measuring Device Using a Webcam with the Convolutional Neural Network (CNN) Method at Roetin Coffee Shop Nurul Budi; Faris Yusuf Baktiar
Journal of Robotics, Automation, and Electronics Engineering Vol. 4 No. 1 (2026): March 2026
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v4i1.2375

Abstract

The advancement of Artificial Intelligence (AI) and Computer Vision has enabled new opportunities for automation within the coffee industry, particularly in weight measurement of coffee beans, which is still performed manually and becomes inefficient at large scale. This study proposes an automatic weight estimation system using images captured by a webcam and processed through a Convolutional Neural Network (CNN) employing MobileNet as a lightweight regression model. The developed system analyzes visual features to estimate weight autonomously, offering an efficient, contactless alternative to conventional weighing tools and supporting stock monitoring for coffee industries and small enterprises.
Co-Authors Faris Yusuf Baktiar