I-Corps: Internet of Things Monitoring System

这个i-Corps项目的更广泛的影响/商业潜力将导致更好地了解对联网设备的需求，以及收集的数据如何影响特定的客户需求。如果是为枪支而设计的，这将是第一个主要的、客观的枪支数据收集技术。对于私营保安和保险公司来说，这可以减少负债，增加保费成本节约。在执法部门中，这些数据可能会开启一个警务和枪支处理的新时代，在社区内建立信任，同时保护警察的安全。研究数据可以产生可视化大量数据的新方法，这些方法可以应用于其他以数据为中心的领域和技术。数据分析和枪支行业都是数十亿美元的市场，如果有效实施，这将在快速增长的市场中推动技术进步。这个i-Corps项目将探索一种设备的可能应用，该设备由一系列坚固的传感器组成，内置在枪支手柄中，致力于提供实时枪支活动监测，包括枪支位置、定向和放电监测。这是一个独立于发射机制(不阻止发射)的安装和忘记装置，它收集有关枪支使用和定向的客观数据。反过来，收集的数据在安全部队中也有许多可能的应用，从加强关键的第一反应系统到最大限度地减少反应时间和改善态势感知，到自动化无线电传输和预测性枪支维护的机器学习。库存控制和枪支责任追究也是这项可能挽救生命的技术的可能性。

The broader impact/commercial potential of this I-Corps project will result in a better understanding of the need for internet connected devices and how the collected data can influence specific customer needs. If designed for firearms, this will be the first major, objective firearms data collection technology. For private security and insurance firms, this could reduce liability and increase cost savings on premiums. Among law enforcement, the data could usher in a new age of policing and firearms handling, building trust within communities while keeping officers safe. Researching the data could generate new methods of visualizing large amounts of data that could be applied to other data-centric fields and technologies. Both the data analytics and the firearms industry are multi-billion dollar markets and if implemented effectively, this will drive technological advancements in a rapidly growing market.This I-Corps project will explore the possible applications of a device composed of a series of ruggedized sensors, built into the grips of a firearm, dedicated to providing real time firearms activity monitoring, including firearm location, orientation, and discharge monitoring. This is an install and forget device, independent of the firing mechanism (does not prevent discharges), that collects objective data on firearms usage and orientation. In turn, the data collected has a host of possible applications among security forces, ranging from augmenting critical first response systems to minimizing response times and improving situational awareness, to machine learning in automating radio transmissions and predictive firearm maintenance. Inventory control and firearms accountability are also possibilities with this potentially life-saving technology.