Development of robust pattern recognition algorithms for chemical and feature comparison evidence

What are we doing?

Working with AI and machine learning experts we are devising robust algorithms for the interpretation of chemical profiles  from fire debris.  We are also exploring tools for feature comparison problems (including biometric features, ballistics and footwear).

Why are we doing it?

We are exploring the use of artificial intelligence and machine learning to explore how we recognise patterns in data, both from instruments (such as drug analysis or DNA profiles) and feature comparisons (such as ballistics, fingerprints, toolmarks and shoe prints).

Project overview

Start date
2 Mar 2020
Other staff involved
Professor Niamh Nic Daeid

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