Feasibility of Measuring Shot Group Using LoRa Technology and YOLO V5

Sanghyun Park, Dongheon Lee, Jisoo Choi, Dohyeon Ko, Minji Lee, Zack Murphy, Nowf Binhowidy, Anthony H. Smith
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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.
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利用LoRa技术和YOLO V5测量枪弹组的可行性
射击在世界各地都是一项常见的军事和娱乐活动。射击性能可以从射击组(分组)的大小来衡量。射手们一直在用手测量子弹撞击之间的距离来计算群体的规模。本文的目的是创建一个合理的自动射击组尺寸测量模块,可在几公里外使用。它包括一个物联网系统和一个用户可以访问的移动应用程序。远距离覆盖采用LoRa技术,并实施YOLO V5检测子弹撞击。通过各种参数和条件下的实验,阐述了计算精确距离的数学方法和满足需要的工程技术。所提出的模块表明,室内测试测量射击组的平均精度为91.8%。对于未来的工作,室外测试,受环境控制变量的影响,有望提供更好的准确性。
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