Safety After Dark: A Privacy Compliant and Real-Time Edge Computing Intelligent Video Analytics for Safer Public Transportation

Safety After Dark: A Privacy Compliant and Real-Time Edge Computing Intelligent Video Analytics for Safer Public Transportation

Public transportation systems play a vital role in modern cities, but they face growing security challenges, particularly related to incidents of violence. Detecting and responding to violence in real time is crucial for ensuring passenger safety and the smooth operation of these transport networks....

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Bibliographic Details
Main Authors: Johan Barthelemy, Umair Iqbal, Yan Qian, Mehrdad Amirghasemi, Pascal Perez
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
safety
public transport
artificial intelligence (AI)
action recognition
computer vision
Online Access:https://www.mdpi.com/1424-8220/24/24/8102
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