| KEYWORD |
Detecting violence and help request in real-time through surveillance videos
keywords ARTIFICIAL INTELLIGENCE, EMBEDDED SYSTEM, IMAGE PROCESSING
Reference persons SARAH AZIMI, LUCA STERPONE
Research Groups DAUIN - GR-05 - Aerospace and Safety Computing Lab
Thesis type RESEARCH / EXPERIMENTAL, RESEARCH, INNOVATIVE
Description The thesis aims to enhance smart city safety using video surveillance to detect real-time violence and "Signal for Help" requests, addressing the rising cases of violence during COVID-19. The goal is a low-resource platform leveraging smart city tech to recognize emergency signals, automatically informing authorities for real-time assistance.
Required skills Python - Embedded System
Deadline 10/01/2024
PROPONI LA TUA CANDIDATURA