The TRACY project aims to gain a deeper understanding of the operational procedures involved in resolving crimes, particularly focusing on data-driven evidence processing. This includes investigating the methods, tools, and type of evidence data utilized.

With this objective in mind, TRACY aims to develop cutting-edge data analytics and artificial intelligence solutions to address the challenges of crime resolution while adhering to the regulations set by the European Union and its Member States regarding the collection of evidence data.

To achieve this, TRACY plans to employ advanced forms of network analytics that enable the collaborative processing of sensor data and assumptions about the individuals involved. For instance, TRACY will analyze data from cameras, number plate recognition systems, face detection systems, non-content data from communications, and other relevant sources. By leveraging this information, it can deduce approximate behavioral patterns of the perpetrators, aiding in the identification of suspects. 

The focus of the TESSERA project on the requirements of high-quality large-scale trusted datasets that aim to be shared for the development and/or validation of AI solutions for law enforcement is closely related to the goals of TRACY that develops cutting-edge data analytics and AI solutions, thus requiring such datasets for the development and validation of these solutions, that aim to address the challenges involved in resolving crimes, with particularly focus on data-driven evidence processing, including the methods, tools and types of evidence-data utilized.