| KEYWORD |
Detecting violence and help request in real-time through surveillance videos
Parole chiave ARTIFICIAL INTELLIGENCE, EMBEDDED SYSTEMS, IMAGE PROCESSING
Riferimenti SARAH AZIMI, LUCA STERPONE
Gruppi di ricerca DAUIN - GR-05 - Aerospace and Safety Computing Lab
Tipo tesi RICERCA APPLICATA, RICERCA, INNOVATIVA
Descrizione 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.
Conoscenze richieste Python - Embedded System
Scadenza validita proposta 10/01/2024
PROPONI LA TUA CANDIDATURA