The Context Aware Security Analytics (CASA) Laboratory is an advanced research environment dedicated to exploring the fundamental principles of machine learning techniques applied to computer vision. This dynamic research and development space is focused on investigating and implementing state-of-the-art technologies to provide advanced solutions for specific challenges in fields such as Physical and Digital Security, Smart Cities, and related areas.
The CASA Laboratory is actively engaged in various research domains, aiming to enhance the understanding and application of artificial intelligence in the field of computer vision. The key research topics include:
- Development of methodologies to effectively identify anomalous behaviors through advanced image analysis.
- Enhancing security in both physical and digital environments using AI-powered surveillance techniques.
- Investigating AI-based human image analysis to detect DeepFake manipulations.
- Contributing to the fight against fake news, cyber-attacks, and other cyber threats.
- Exploring contextual dynamics that impact security.
- Enabling a deeper understanding of events and potential risks through computer vision.
- Advancing strategies to integrate and analyze data from multiple sources.
- Improving mission-critical system response capabilities for enhanced security.
Context Aware Security Analytics Laboratory (CASA)
Department of Computer Science
University of Salerno (IT)
Via Giovanni Paolo II, 132 (SA)
casalab@unisa.it
