Posted in | News | Sensors General

Radio-Frequency Identification Seals for Detection of Shipment Tampering

Air freight being loaded. Researchers at the Fraunhofer IFF are working with other partners on a digital fingerprint for security-sensitive air freight in the project ESecLog. This is intended to make tampering with shipments easily detectable in the future. © Fraunhofer Fraunhofer IFF/Anna Mahler

Researchers at Fraunhofer are endeavoring to develop a digital fingerprint for air freight items. The Fraunhofer Institute for Factory Operation and Automation is collaborating with Lufthansa Cargo and Panalpina for the Federal Ministry of Education and Research-funded project - ESecLog.

Conventional procedures such as X-ray scanning for screening of freight products are expensive and time consuming. The research team intends to develop an efficient system that does not affect security of air freight logistics.

Until now, it has not been possible to confirm if a particular freight item has been X-rayed and the researchers are trying to develop a marker to enable verification. The researchers are also developing a Radio-Frequency Identification (RFID) seal for detection of any shipment tampering.

They used an ultrafine safety wire to fix a transponder on the seal of a package. This wire would break if the package was opened and this information would be available to the screener. Poenicke stated that novel technology would enable inspection of complete pallets. The shipment with broken wires can be identified by its ID. Further, a 3D scan can be used to capture the contour of the pallet.

The researchers collect the RFID identifiers or the 3D contours of every item into a central profile. A Fraunhofer IFF project manager, Olaf Poenicke, stated that this data was to be documented and aggregated into a single digital fingerprint or image. This would provide precise information about the freight item throughout its transportation. The collected information can then be analyzed by screeners in the central fingerprint information system. This system would help reduce re-inspections.

This research is to be presented at the International Supply Chain Conference in Berlin in October 2014.

References 

Stuart Milne

Written by

Stuart Milne

Stuart graduated from the University of Wales, Institute Cardiff with a first-class honours degree in Industrial Product Design. After working on a start-up company involved in LED Lighting solutions, Stuart decided to take an opportunity with AZoNetwork. Over the past five years at AZoNetwork, Stuart has been involved in developing an industry leading range of products, enhancing client experience and improving internal systems designed to deliver significant value for clients hard earned marketing dollars. In his spare time Stuart likes to continue his love for art and design by creating art work and continuing his love for sketching. In the future Stuart, would like to continue his love for travel and explore new and exciting places.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Milne, Stuart. (2014, September 05). Radio-Frequency Identification Seals for Detection of Shipment Tampering. AZoSensors. Retrieved on November 21, 2024 from https://www.azosensors.com/news.aspx?newsID=8432.

  • MLA

    Milne, Stuart. "Radio-Frequency Identification Seals for Detection of Shipment Tampering". AZoSensors. 21 November 2024. <https://www.azosensors.com/news.aspx?newsID=8432>.

  • Chicago

    Milne, Stuart. "Radio-Frequency Identification Seals for Detection of Shipment Tampering". AZoSensors. https://www.azosensors.com/news.aspx?newsID=8432. (accessed November 21, 2024).

  • Harvard

    Milne, Stuart. 2014. Radio-Frequency Identification Seals for Detection of Shipment Tampering. AZoSensors, viewed 21 November 2024, https://www.azosensors.com/news.aspx?newsID=8432.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.