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  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