Synthetic Data Validation Contract Award Notice

For the development of algorithms for the automated detection of security threats there is a need for data sets of both the threats to be found and of innocuous items to ensure that the algorithm performance does not impede on the operational needs of airports.

With the advent of machine and deep learning algorithms there is a requirement for large volumes of data, this, combined with the fact that some of the materials that regulators wish algorithms to identify are hard to handle in large quantities meaning that the creation of data is slow or inadequate to meet the demands of development and deployment of algorithms to meet all stakeholder needs.

The purpose of this contract is to develop a means by which synthetically created data can be created and validated as to be identical and indistinguishable from data created by scanning real objects in security systems.