Detecting Small Objects Using a Smartphone and Neon Camera

Q4 Engineering
Lianly Rompis, Julie Rante
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引用次数: 0

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. 
使用智能手机和霓虹灯相机检测小物体
在日常生活中,人类在进行工作或学习等活动时经常遇到困难,特别是在处理针、螺丝、夹子、硬币电池和电子元件等小部件时。这些物品经常掉落,寻找它们会消耗额外的时间和精力。此外,它们在玩耍时对婴儿和儿童构成危险。鉴于智能手机已经成为必不可少的通信设备,而且用途广泛,在工作和家庭中都很容易使用,来自工程学院的研究团队受到激励,研究如何优化智能手机用于检测小物体的使用。研究方法包括文献回顾、观察和分析,使用智能手机和霓虹灯相机应用程序。这个应用程序被选中,因为它的独特特点,以产生一个完美的黑色背景和彩色图像框架。研究中选择了五个小部件作为样本:针、螺丝、夹子、硬币电池和透明发光二极管(led)。研究结果为进一步发展利用霓虹灯相机探测小物体提供了基础认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Circuits, Systems and Signal Processing
International Journal of Circuits, Systems and Signal Processing Engineering-Electrical and Electronic Engineering
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155
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