Large-Area Detection of Improvised Explosive Devices by Portable Artificial Intelligence-Powered Electronic Noses

利用便携式人工智能电子鼻对简易爆炸装置进行大面积检测

• 批准号: NS210100083
• 负责人: Prof Antonio Tricoli
• 金额: $ 35.14万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: National Intelligence and Security Discovery Research Grants
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-03-30 至 2025-03-29
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/NS210100083
• 关键词: Large; Area; Detection; Improvised; Explosive

This project aims to develop a miniaturised Electronic Nose for large-area detection of improvised explosive devices. This project expects to utilise an interdisciplinary approach of nanofabrication of a multi sensor array together with machine learning algorithms and advanced nanoscale characterisation approaches to optimise the sensing material design and sensing parameters. The intended outcome is an Electronic Nose device powered by artificial intelligence methodologies able to identify the presence of particle or vapours of common oxidisers used in improvised explosive devices. This should provide significant benefits to the security and defence sectors, paying particular attention to the safety of general public and military personal.

该项目旨在开发一种小型化电子鼻，用于大面积检测简易爆炸装置。该项目期望利用多传感器阵列纳米制造的跨学科方法以及机器学习算法和先进的纳米级表征方法来优化传感材料设计和传感参数。预期成果是一种由人工智能方法提供支持的电子鼻设备，能够识别简易爆炸装置中使用的常见氧化剂的颗粒或蒸气的存在。这将为安全和国防部门带来重大好处，特别关注公众和军人的安全。