Activity: Talk or presentation › Talk or presentation at a conference
Description
Current urban surveillance systems are monitored intensively and round-the-clock by qualified personnel. But the large volume of generated video data is near impossible to process in real-time by human observation alone. Nevertheless, responding swiftly to situations involving violence is essential to provide safe environments that protect our citizens.
The Surv-AI-llance project aims to gather reliable and actionable insights into human behavior by developing advanced machine-learning algorithms based on data from cameras and radar devices. These algorithms will be capable of interpreting scenes involving violence and aggression, enabling real-time alerts and rapid response from safety and security officers while guaranteeing the privacy of the people involved.
The overarching objective of the Surv-AI-llance consortium is to build a reliable, privacy-friendly video analytics pipeline that accurately interprets surveillance scenes under surveillance and rapidly alerts officials.