Scalable Measures for Automated Recognition Technologies (SMART) project aim is to evaluate the risk and opportunities inherent to the use of smart surveillance, develop number of technical, procedural and legal options for safeguards.
A bio-mimicry enabled artificial sniffer (SNIFFER) project deals with the capture and analysis of odours as it offers significant potential for border security applications related to the detection and analysis of persons, illegal substances and in particular explosives.
The concept of the SNIFFLES project is to develop a miniature and portable electronic gas sensor capable of detecting hidden persons and illegal substances - providing a cost effective and scalable technology to complement the work of sniffer dogs. The technology will complement trained sniffer dogs.
Smart UNmanned aerial vehicle sensor Network for detection of border crossing and illegal entry (SUNNY) project goal is to develop a platform to gather data and information from distributed sensor active 24/7 in any weather conditions in order to patrol frontiers and intercept intrusion.
The Trusted Biometrics Under Spoofing Attacks (TABULA RASA) project aims to research, develop, evaluate and transfer anti-spoofing solutions. It will investigate novel biometrics and further explore their advantages and limits, given that multi-modal biometrics is a possible countermeasure to spoofing attacks.
Multi-frequency, multi-mode Terahertz screening for border checks (TERASCREEN) project aims at developing an innovative concept of multi-frequency multi-mode Terahertz (THz) detection with new automatic detection and classification functionalities.