PCR Radar-Based Counting System for Packaged Objects

Joon-Il Cho, Soorim Yang, Jae-Hoon Kim
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Abstract

Counting the number of packaged objects is a process that the fulfillment center must go through before shipping it to the customer. With the development of computer vision and deep learning, many studies are being conducted to recognize objects and determine quantity using cameras, but it is impossible to identify objects in a sealed package due to the occlusion problem of not seeing objects that are occluded. Among the nondestructive inspection methods using wavelengths that use penetrating properties, radar that is harmless to the human body does not require contact with objects, and uses low-power radio frequency is the most suitable for counting objects. In this paper, we propose a system that achieves 99.33% counting accuracy of packed objects by removing background noise of radio frequency measured by 60GHz pulsed coherent radar.
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基于PCR雷达的包装物计数系统
计算包装物品的数量是履行中心在将其运送给客户之前必须经历的一个过程。随着计算机视觉和深度学习的发展,利用相机识别物体和确定数量的研究很多,但由于看不到被遮挡的物体的遮挡问题,无法识别密封包装中的物体。在利用穿透性波长的无损检测方法中,对人体无害的雷达不需要与物体接触,使用低功率射频最适合计数物体。本文提出了一种通过去除60GHz脉冲相干雷达测量射频的背景噪声,实现对堆积物体计数精度99.33%的系统。
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