Real-Time Acoustic Detection of Critical Incidents in Smart Cities Using Artificial Intelligence and Edge Networks

Real-Time Acoustic Detection of Critical Incidents in Smart Cities Using Artificial Intelligence and Edge Networks

We present a system that integrates diverse technologies to achieve real-time, distributed audio surveillance. The system employs a network of microphones mounted on ESP32 platforms, which transmit compressed audio chunks via an MQTT protocol to Raspberry Pi5 devices for acoustic classification. The...

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Bibliographic Details
Main Authors: Ioannis Saradopoulos, Ilyas Potamitis, Stavros Ntalampiras, Iraklis Rigakis, Charalampos Manifavas, Antonios Konstantaras
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
acoustic surveillance
IoT
transformers
edge computing
AudioSet
Online Access:https://www.mdpi.com/1424-8220/25/8/2597
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