Advanced x-ray imaging for food and baggage inspection

用于食品和行李检查的先进 X 射线成像

• 批准号: 549500-2019
• 负责人: Bazalova, Magdalena
• 金额: $ 10.93万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=701136
• 关键词: Advanced; ray; imaging; food; baggage

Food and baggage inspection are important applications of x-ray detector technology to daily life. While automated food inspection can result in high-quality contaminant-free food, baggage inspection is a crucial aspect of safe air-travel. Physics researchers at the University of Victoria and Ryerson University will combine forces with Redlen Technologies who are developing novel x-ray detector technologies in order to manufacture automated x-ray imaging systems for food and baggage inspection. During the course of research, we will use prototype Redlen detectors and mimic food and baggage inspection by scanning known materials including food and baggage contaminants. We will develop models for optimal scanning parameter selection to achieve the highest accuracy of contaminant segmentation. Upon a successful completion of the proposed project, novel food and baggage scanners will be developed and food quality and air travel security will be improved.

食物和行李检查是X射线探测器技术在日常生活中的重要应用。虽然自动化食品检查可能会导致高质量的无污染物食品，但行李检查是安全航空旅行的关键方面。维多利亚大学和瑞尔森大学的物理研究人员将与正在开发新型X射线探测器技术的红色技术相结合，以制造自动化的X射线成像系统，以进行食物和行李检查。在研究过程中，我们将通过扫描已知材料（包括食物和行李污染物）来使用原型Redlen探测器以及模仿食物和行李检查。我们将开发用于最佳扫描参数选择的模型，以达到污染物分割的最高精度。在拟议的项目成功完成后，将开发出新颖的食物和行李扫描仪，并将改善食品质量和航空旅行安全。