A Crowd Sourced Anti-Counterfeiting Imaging AI platform (ACACIA)

众包防伪成像人工智能平台（ACACIA）

• 批准号: 91580
• 金额: $ 22.85万
• 依托单位: GLIFF LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=91580
• 关键词: Crowd; Sourced; Anti; Counterfeiting; Imaging

Counterfeit products cost the UK economy over £12Bn annually in lost revenue and brand damage. Counterfeit products in healthcare, aviation, pharmaceuticals, electronics and other sectors have significant safety risks.Intogral Ltd and its partners propose to develop an innovative browser software platform for use by the manufacturing supply chain which includes Artificial Intelligence-based counterfeiting countermeasures utilising Smartphone pictures.P&G have offered to support the project by providing a test use case and access to its existing anti-counterfeiting measures, including its supply chain and security partners.Durham University will support the project with translational research and help with the Exploitation Plan.

假冒产品每年给英国经济造成超过 120 亿英镑的收入损失和品牌损害。医疗保健、航空、制药、电子和其他行业的假冒产品存在重大安全风险。Intogral Ltd 及其合作伙伴提议开发一个创新的浏览器软件平台供使用。通过制造供应链，其中包括利用智能手机图片的基于人工智能的防伪措施。宝洁公司表示愿意通过提供测试用例和访问其现有的功能来支持该项目防伪措施，包括供应链和安全合作伙伴。杜伦大学将通过转化研究支持该项目，并帮助制定开发计划。