Low-Cost Gunshot Detection System with Localization for Community Based Violence Interruption
Low-Cost Gunshot Detection System with Localization for Community Based Violence Interruption
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DOI：
10.1109/dsaa60987.2023.10302469
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发表时间：
2023-10
期刊：
影响因子：
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通讯作者：
Isaac Manring;James H. Hill;George O. Mohler;P. Brantingham;Thomas Williams;Bruce White
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作者：
Isaac Manring;James H. Hill;George O. Mohler;P. Brantingham;Thomas Williams;Bruce White
美国城市越来越有兴趣将资源转向社区主导的解决犯罪和混乱的办法。然而，同时也需要向社区组织提供获取实时数据的机会，以促进决策，这些数据通常只有警察才能获得。在这项工作中，我们提出了一种低成本的枪声检测系统，该系统具有本地化，已开发用于社区暴力中断。分布式实时枪击探测传感器网络连接到一个基于移动电话的警报和任务分配系统，专门供平民帮派干预人员使用。在这里，我们详细介绍了系统架构和射击检测模型，该模型由一个音频谱图变换（AST）神经网络组成。然后，我们将输入到AST的梯度图与贝叶斯极大值后验估计程序相结合，用于识别到达时间，以识别枪声的位置。我们使用模拟数据、来自匹兹堡商业ShotSpotter探测系统的公开数据以及在印第安纳波利斯大都会警察局（IMPD）枪支射击场使用我们的设备进行的实弹实验收集的数据进行了几次实验。然后讨论了该系统的潜在应用和未来的研究方向。
There is growing interest in U.S. cities to shift resources towards community-led solutions to crime and disorder. However, there is a simultaneous need to provide community organizations with access to real-time data to facilitate decision making, to which only the police normally have access. In this work we present a low-cost gunshot detection system with localization that has been developed for community-based violence interruption. The distributed real-time gunshot detection sensor network is linked to a mobile phone-based alert and tasking system for exclusive use by civilian gang interventionists. Here we present details on the system architecture and gunshot detection model, which consists of an Audio Spectrogram Transformer (AST) neural network. We then combine gradient maps of the input to the AST for time of arrival identification with a Bayesian maximum a posteriori estimation procedure to identify the location of gunshots. We conduct several experiments using simulated data, open data from the commercial ShotSpotter detection system in Pittsburgh, and data collected using our devices during live-fire experiments at the Indianapolis Metropolitan Police Department (IMPD) gun firing range. We then discuss potential applications of the system and directions for future research.