The “NATO SPS” (Science for Peace and Security) project “Microelectronic 3D Imaging and Neuromorphic Recognition for Autonomous UAVs”, coordinated by prof. Franco ZAPPA, aims to design 3D ranging cameras and image recognition algorithms for miniaturized, low power, fast processing speed and precise 3D data collection in autonomous miniaturized multicopter Unmanned Aerial Vehicles (UAVs). The SPADlab group at DEIB will develop smart CMOS SPAD (Single Photon Avalanche Diode) imagers and FPGA-based cameras for 2D imaging and 3D ranging for UAV multicopters.
The Western Sydney and Monash Universities in Australia will develop fast 3D objects view-invariant neuromorphic-based image recognition and tracking algorithms. Eventually SPADlab will integrate hardware and software into compact and rugged cameras to be installed on a miniature sized multicopter by Defence Science and Technology Organisation (DSTO) in Australia, to demonstrate aerial target identification and tracking in very low light conditions.
Applications:

1. Counter-Terrorism (Methods and Detectors for protection)
2. Missions support - Surveillance and Reconnaissance
3. Security-related Advanced Technology
4. Boarder and Port Security, Mine and Unexploded Ordance Detection and Clearance