| KEYWORD |
Detecting Violence and Help Request in Real-time Through Surveillance Videos
keywords ARTIFICIAL INTELLIGENCE, EMBEDDED SYSTEMS, IMAGE PROCESSING
Reference persons SARAH AZIMI, LUCA STERPONE
Research Groups DAUIN - GR-05 - Aerospace and Safety Computing Lab
Thesis type APPLIED RESEARCH
Description The thesis addresses the rising issue of violence, particularly during the COVID-19 pandemic, proposing the use of video surveillance and smart city technology to detect and respond to emergency signals like the "Signal for Help", developing a platform with low computational requirements, utilizing video surveillance and artificial intelligence to recognize emergency gestures in real-time. The ultimate goal is to enhance community safety by automatically alerting authorities for immediate assistance. Additionally, to implement the developed recognition algorithm on embedded system.
Required skills Python
Embedded System
Deadline 15/01/2025
PROPONI LA TUA CANDIDATURA