[在人格识别框架中使用计算机程序和移动设备的现代机会]
O I Kosukhina1,2, Yu P Kareva1,3, S V Leonov1,3
1Russian University of Medicine, Moscow, Russia.
Sudebno-meditsinskaia ekspertiza
|August 27, 2024
概括
一项新的移动技术使用训练有素的神经网络在事故现场快速法医识别身份不明尸体. 这种自动化系统在关键情况下提高了准确性和效率.
科学领域:
- 法医科学 法医科学 法医科学
- 计算机科学 计算机科学
- 生物识别信息 生物识别信息
背景情况:
- 大规模伤亡事件往往导致身份不明的死者,这给识别带来了重大挑战.
- 传统的法医识别方法可能是耗时和主观的,影响紧急情况的响应时间.
研究的目的:
- 开发和评估一种新型的移动技术,用于快速,自动化的法医人格识别.
- 评估系统在处理图像和在紧急现场快速获得结果方面的有效性.
主要方法:
- 为Android和iOS设备开发一个集成预训练的神经网络的移动应用程序.
- 实施"Skull-face"程序,用于在面部图像上自动放置参考点.
- 实时图像分析和结果生成在一分钟内.
主要成果:
- 成功开发了一种移动法医识别技术.
- 已证明能够在60秒内处理图像并提供识别结果.
- 在事故现场立即处理数据和获取结果的潜力.
结论:
- 开发的移动技术为法医人格识别提供了快速和客观的解决方案,特别是在大规模伤亡事件中.
- 自动化分析减少了主观偏见,提高了识别过程的准确性和效率.
- 这项技术可以在紧急情况下显著帮助急救人员和法医专家.
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