{"title":"PCR Radar-Based Counting System for Packaged Objects","authors":"Joon-Il Cho, Soorim Yang, Jae-Hoon Kim","doi":"10.1109/ICAIIC57133.2023.10066968","DOIUrl":null,"url":null,"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.","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIIC57133.2023.10066968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.