The SURVANT project aims to deliver an effective and efficient innovative system able to collect, analyse videos from heterogeneous repositories of surveillance videos and extract inter/intra-camera video analytics, supporting investigators in discovering suspicious criminal events within a huge amount of video tracks.
Through an intuitive interface, SURVANT ensures a relaxed learning curve, assisting the user in creating accurate search queries and analysing the received results using advanced visualization tools. Ethical management of personal data collected from surveillance videos is integrated in the system design for ensuring the compliance with ethics and privacy European and national regulations.
The main aim of SURVANT will be a dramatic reduction of the human resources required in investigations, thanks to:
- an improved video archive search and an intuitive videos archive management and collection
- recommendations for improving searches and smart event evolution tracking to further assist the investigator;
- geolocalisation and tracking of suspicious persons;
- suspicious events detection.