Artificial Intelligence: An Advanced Evolution In Forensics And Criminal Investigation

Saurav Yadav, Shalini Yadav, Preeti Verma, Smriti Ojha, Sudhanshu Mishra
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Abstract

It is aimed, with the use of modern sciences & technologies and also the use of new, latest and future technologies, such as artificial intelligence, to develop enhanced and extended ways to promote the technology for forensics of all its sectors (AI). A program or computer program is capable of carrying out human functions such as visual awareness, voice recognition, cognitive reasoning, strategic thinking, understanding from experiences, and solving complicated issues at a greater rate and with smaller mistake rates than humans. AI is also the most developing sector for advances in the field of forensics and the system of justice. In today's situation, specialists are faced with numerous problems because of enormous quantities of data, minute facts in the chaotic and complex environment, traditional lab architecture, and sometimes inadequate information, which might fail to do an inquiry or a miscarriage of justice. AI is a waffle to combat the difficulties of machine learning and profound learning. Case-based reasoning for error-free and objective outcomes in many forensic areas, neural networks, and reproductive results. The study discusses AI's current and potential future uses in forensic science. Artificial intelligence may be used in a variety of applications, including blood pattern recognition and analysis, crime scene reconstruction, digital forensics, image processing, and, of course, satellite monitoring.
人工智能:法医学和刑事调查的高级进化
它的目的是利用现代科学技术以及使用新的,最新的和未来的技术,如人工智能,开发增强和扩展的方法,以促进其所有部门(AI)的取证技术。程序或计算机程序能够执行人类的功能,如视觉感知、语音识别、认知推理、战略思维、从经验中理解、以比人类更快的速度和更小的错误率解决复杂问题。人工智能也是法医学和司法系统发展最快的领域。在今天的情况下,由于大量的数据,混乱和复杂环境中的微小事实,传统的实验室架构,以及有时信息不足,专家面临着许多问题,这些问题可能无法进行调查或误判。人工智能是对抗机器学习和深度学习困难的华而不实的东西。在许多法医领域、神经网络和生殖结果中,基于案例的无错误和客观结果推理。该研究讨论了人工智能在法医科学中的当前和潜在未来应用。人工智能可以用于各种应用,包括血液模式识别和分析,犯罪现场重建,数字取证,图像处理,当然还有卫星监控。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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