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NFC-4-COVID-19: High rate manufacture of printed NFC microcontroller circuits to transfer COVID-19 point of need antibody diagnostic test results to the Cloud

NFC-4-COVID-19: High rate manufacture of printed NFC microcontroller circuits to transfer COVID-19 point of need antibody diagnostic test results to the Cloud
NFC-4-COVID-19:高速制造印刷 NFC 微控制器电路,将 COVID-19 需求点抗体诊断测试结果传输到云端
批准号:
54584
负责人:
金额:
$6.37万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

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英文摘要
NFC-4-COVID-19 aims to increase the manufacturing rate of NFC flexible circuit boards from 10,000/hour to over 400,000/hr using advanced manufacturing processes which are typically used in the food packaging and printed label industry. The step change in manufacturing rate of NFC circuits and their inclusion in each COVID-19 antibody diagnostic device for home testing allows critically important pandemic mapping data to be available in the cloud for analysis within seconds. This is essential to establish a significant sample size for robust statistical analysis to allow governments to take the correct action quicker to control the spread of the disease throughout the population and to allow informed decision to be made on when lock-downs should be enforced or removed. NFC-4-COVID-19 provides one part of the solution to pandemic management, where antibody tests are distributed through postal services to every citizen and following simple instructions allows a test to run and the test data immediately sent to a secure cloud based data management and dash board system. Without NFC connectivity other forms of data transfer are needed to transfer data from the diagnostic to a SMART phone and then to the Cloud. Optical techniques suffer from poor signal to noise, whilst dierect electrical sensing is more robust. The later is the preferred approach for COVID-19 antibody tests.The project builds on proprietary materials and manufacturing methods developed for long range RFID tags and labels and applies these to make smart phone readable labels and devices. The extreme production rate will enable point of need diagnostics to be developed which immediately transfers sensor data, geo-location and user information to the Cloud for analysis and display by artificial intelligence algorithms, distributed ledger, blockchain and other Cloud Computing platforms, such as Microsoft Azure.In addition, the unique multi-layer process will be more sustainable allowing more complex circuitry to be produced on smaller circuit boards which use less material. Such advances will allow very compact distribution track and trace labels to be produced which may log the environmental temperatures and humidity seen by sensitive goods during storage and distribution.
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