课题基金 / 基金详情

CosmoPort - Using cosmic rays for better, more portable and efficient analysis and detection for customs

CosmoPort - Using cosmic rays for better, more portable and efficient analysis and detection for customs
CosmoPort - 使用宇宙射线为海关提供更好、更便携、更高效的分析和检测
批准号:
10102097
负责人:
金额:
$43.3万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
货物和包裹的发货量正以不可阻挡的速度增长。随着个人货运的增多,物流手段已从中央地点转变为小型物流公司、邮政机构、机场、港口、私人车辆等。然而,这些地点的分析和检测能力很低,使其很容易成为非法货物运输的目标。目前,还没有有效的技术能够解决这个日益严重的问题。尽管X射线技术被广泛使用,但当涉及到移动场景时,它们仍然效率低下。此外,它们的检测能力仅基于视觉成像,无法检查小货件的确切材料含量。为此,我们提出了一种全新而高效的解决方案。宇宙港项目将开发使用大气射线层析成像(ART)的下一代扫描仪系统。这些系统配备了先进的基于机器学习的风险评估工具。由于Muon层析本身是一项已经在使用的技术,那么我们将开发第一个结合AI/ML工具的移动解决方案,以增强有史以来第一次材料和对象的分类
英文摘要
The number of goods and parcelsshipped is growing with unstoppable speed. With more individualshipmentsthe means of logistics havechanged from central locations to small logistics companies, postal agencies, airports, ports, private vehicles etc. However, the analysisand detection capabilities of such locations are very low, making it an easy target for transporting illicit goods. Currently, there are noeffective technologies available that would be able to cope with this growing problem. Despite the widespread use of X-ray technologies,they are still inefficient when it comesto mobile scenarios. In addition, their detection capability is based solely on visual imaging with noway to examine the exact material content of small shipments. We are proposing a completely novel, yet highly effective solution for this.The CosmoPort project will develop the next generation of scanner systems using Atmospheric Ray Tomography (ART). Such systemsare equipped with advanced Machine Learning-based risk assessment tool. As muon tomography itself is a technique already in use, thenwe will develop the first mobile solution combined with AI/ML tools to enhance material and object classification for the first time ever
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Capture and Release of Droplets Using Advanced Materials for High Technology Applications
  • 批准号:
    52073127
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2020
  • 负责人:
    Alidad Amirfazli
  • 依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data