2 research outputs found
Vision and Crowdsensing Technology for an Optimal Response in Physical-Security
Law enforcement agencies and private security companies
work to prevent, detect and counteract any threat with the resources
they have, including alarms and video surveillance. Even so, there are
still terrorist attacks or shootings in schools in which armed people move
around a venue exercising violence and generating victims, showing the
limitations of current systems. For example, they force security agents to
monitor continuously all the images coming from the installed cameras,
and potential victims nearby are not aware of the danger until someone
triggers a general alarm, which also does not give them information on
what to do to protect themselves. In this article we present a project
that is being developed to apply the latest technologies in early threat
detection and optimal response. The system is based on the automatic
processing of video surveillance images to detect weapons and a mobile
app that serves both for detection through the analysis of mobile device
sensors, and to send users personalised and dynamic indications. The
objective is to react in the shortest possible time and minimise the damage
suffered