A database and search algorithms that will form the memory of the SHUTTLE toolkit. This database will contain the data (raw, processed or both) acquired by the microscope and processed by the image processing algorithms. The database structure is made in such a way that the data acquired by the SHUTTLE toolkit can be related to data acquired by other techniques. To achieve this, it is possible to add into the database parts that contain data from e.g. FTIR, MSP, dye analysis, etc. The database contains a robust back-end and a user-friendly front-end. The front-end should have the same look and feel as (or even be integrated with) those for instrument and the image processing routines. The database will focus on experimental data and will (as is currently foreseen) not contain case information (such as case identifiers, names of suspects and victims) to prevent security and privacy issues. The search algorithms should allow searches for similar samples in the database. The search algorithms yield numbers or probabilities that can be used to calculate the evidential value of a result, e.g. using Bayesian statistics.
News and Events
- “Improving Forensic Trace Recovery” online workshop on 1-5 February
- Community of Users Workshop on Forensics
- M30 Consortium meeting
- Contracts awarded for PCP Phase 1- Solution Design
- The SHUTTLE project held its Month 18 consortium meeting on 26-27-28 November 2019 in Jerusalem, Israel. The meeting was hosted by MOPS-INP.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 786913. This site reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.