| KEYWORD |
Detecting Violence and Help Request in Real-time Through Surveillance Videos
Parole chiave AI, DATA SCIENCE, EMBEDDED SYSTEMS, IMAGE PROCESSING, NEURAL NETWORKS
Riferimenti SARAH AZIMI, LUCA STERPONE
Gruppi di ricerca DAUIN - GR-05 - Aerospace and Safety Computing Lab
Tipo tesi APPLIED RESEARCH, RESEARCH / EXPERIMENTAL
Descrizione 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.
Conoscenze richieste Python
Embedded System
Scadenza validita proposta 15/01/2025
PROPONI LA TUA CANDIDATURA