Sanghyun Park, Dongheon Lee, Jisoo Choi, Dohyeon Ko, Minji Lee, Zack Murphy, Nowf Binhowidy, Anthony H. Smith
{"title":"Feasibility of Measuring Shot Group Using LoRa Technology and YOLO V5","authors":"Sanghyun Park, Dongheon Lee, Jisoo Choi, Dohyeon Ko, Minji Lee, Zack Murphy, Nowf Binhowidy, Anthony H. Smith","doi":"10.1109/SAS54819.2022.9881356","DOIUrl":null,"url":null,"abstract":"Shooting is a common activity all over the world for both military and recreational purposes. Shooting performance can be measured from the size of the shot group (grouping). Shooters have been calculating the size of the group by measuring the distance between bullet impacts using their hands. This paper aims to create a reasonable automated shot grouping size measuring module that is available from several kilometers away. It includes an IoT(Internet of Things) system and a mobile application that users can access. LoRa technology is adopted for covering long distances, and YOLO V5 is implemented to detect bullet impacts. Mathematical methods for calculating accurate distance and engineering techniques to fill the needs are described with experiments on various parameters and conditions. The proposed module showed that indoor tests measured the shot group with a mean accuracy of 91.8%. For future work, outdoor tests, which were affected by environmental control variables, are expected to give better accuracy.","PeriodicalId":129732,"journal":{"name":"2022 IEEE Sensors Applications Symposium (SAS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS54819.2022.9881356","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
Shooting is a common activity all over the world for both military and recreational purposes. Shooting performance can be measured from the size of the shot group (grouping). Shooters have been calculating the size of the group by measuring the distance between bullet impacts using their hands. This paper aims to create a reasonable automated shot grouping size measuring module that is available from several kilometers away. It includes an IoT(Internet of Things) system and a mobile application that users can access. LoRa technology is adopted for covering long distances, and YOLO V5 is implemented to detect bullet impacts. Mathematical methods for calculating accurate distance and engineering techniques to fill the needs are described with experiments on various parameters and conditions. The proposed module showed that indoor tests measured the shot group with a mean accuracy of 91.8%. For future work, outdoor tests, which were affected by environmental control variables, are expected to give better accuracy.