ArmVision:一种改善警察对枪支暴力的反应时间和在武装犯罪发生之前制止它们的方法

Vinay Venkatesh
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引用次数: 0

摘要

据估计,2020年有19223人因枪支暴力而丧生。ArmVision可以在武器犯罪发生之前进行预防,如果使用其高效的通知系统,可以更快地引起人们的注意。其广泛的适用性表明其发展前景广阔。ArmVision使用一种名为You Only Look Once (YOLO)的复杂机器学习(ML)算法和卷积神经网络(cnn)来优化其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ArmVision: An Approach to Improve Police Officers Response Times to Gun Violence and Put a Stop to Armed Crimes Before They Occur
An estimated 19,223 people lost their lives due to gun violence in 2020. ArmVision prevents arm related crimes before they occur and brings quicker attention to them if they do with its efficient notification system. Its wide range of applicability expresses a bright future for its development. ArmVision uses a complex machine learning (ML) algorithm called You Only Look Once (YOLO) and Convolutional Neural Networks (CNNs) to optimize its performance.
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