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Detecting Small Objects Using a Smartphone and Neon Camera

Lianly Rompis*, Julie Rante, Indah Yessi Kairupan
Universitas Katolik De La Salle, Manado, Indonesia
Abstract—In daily life, humans often encounter difficulties when performing activities such as working or learning, particularly when handling small components such as needles, screws, clips, coin batteries and electronic components. These objects are frequently dropped and finding them can consume extra time and energy. Additionally, they pose a danger to babies and children while they are playing around. Given that smartphones have become essential devices for communication and are highly versatile, easily used both at work and at home, the research team from the Faculty of Engineering was motivated to study how to optimize the use of smartphones for detecting small objects. The research methodology included a literature review, observation, and analysis using a smartphone and neon camera application. This application was selected due to its unique characteristics to produce a perfect black background and color image frame. Five small components were chosen as samples for the research: needles, screws, clips, coin batteries, and transparent Light Emitting Diodes (LEDs). The results provide a fundamental understanding for further development of using neon cameras to detect small objects.  

Index Terms—small objects, detection, smartphones, cameras, neon

Cite: Lianly Rompis, Julie Rante, and Indah Yessi Kairupan, "Detecting Small Objects Using a Smartphone and Neon Camera," International Journal of Signal Processing Systems, Vol. 11, No. 2, pp. 7-10, June 2023. doi: 10.18178/ijsps.11.2.7-10

Copyright @ 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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