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Project Idea

OrganisationAralia Systems
Project Title3D Analytics; the development of weapon detection and concealed objects algorithms processing 3D data
H2020 Topic ListNot specified yet
Role within the Consortium* Project Partner
Type of activity* Technology development
* Research
* Demonstration
Project DescriptionThis project seeks to link leading-edge developments in the recovery of 3D information for surveillance purposes
to that of algorithmic design for automated scene content analysis. Techniques that make use of 3D information
can be applied to a wide range of human surveillance activities, including: texture recognition, the identification
of concealed or camouflaged items and the detection of weapons. Prior industry research has determined that the
improved depth of perception obtained by 3D data will dramatically reduce the false positive alarm rate of object
analysis algorithms, whilst allowing for the algorithmic development of the features identified above. However
current 3D imaging technologies require the installation of costly new, often non-standard, camera equipment and
data processing to provide 3D data over only a limited distance and at low spatial resolution. Instead a more
practicable low-cost solution is proposed that is based on existing readily available hardware technology, able to
operate at a large stand-off (50m) and capture 3D data at sub-pixel resolution. Thus this project will allow Aralia
Systems Ltd to develop both weapon detection and concealed object detection algorithms using 3D video data
recovery. The development of these capabilities will provide a step change in the video surveillance sector,
allowing remote monitoring officials to not only analyse the actions of a person but what they are holding and if
they are attempting to conceal items beneath their clothing.