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).
How will we do it?
We are initially working of ignitable liquid data to explore the ability of algorithms to compare linkages and differentiation of samples.