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Sound Event Detection in Underground Parking Garage Using Convolutional Neural Network

Department of Architecture and Industrial Design, University of Campania Luigi Vanvitelli, 81031 Aversa, Italy
Big Data Cogn. Comput. 2020, 4(3), 20; https://doi.org/10.3390/bdcc4030020
Received: 24 June 2020 / Revised: 7 August 2020 / Accepted: 14 August 2020 / Published: 17 August 2020
(This article belongs to the Special Issue Big Data Analytics for Social Services)
Parking is a crucial element in urban mobility management. The availability of parking areas makes it easier to use a service, determining its success. Proper parking management allows economic operators located nearby to increase their business revenue. Underground parking areas during off-peak hours are uncrowded places, where user safety is guaranteed by company overseers. Due to the large size, ensuring adequate surveillance would require many operators to increase the costs of parking fees. To reduce costs, video surveillance systems are used, in which an operator monitors many areas. However, some activities are beyond the control of this technology. In this work, a procedure to identify sound events in an underground garage is developed. The aim of the work is to detect sounds identifying dangerous situations and to activate an automatic alert that draws the attention of surveillance in that area. To do this, the sounds of a parking sector were detected with the use of sound sensors. These sounds were analyzed by a sound detector based on convolutional neural networks. The procedure returned high accuracy in identifying a car crash in an underground parking area. View Full-Text
Keywords: sound classification; convolutional neural networks; audio event detection; acoustic measurements; acoustic features sound classification; convolutional neural networks; audio event detection; acoustic measurements; acoustic features
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MDPI and ACS Style

Ciaburro, G. Sound Event Detection in Underground Parking Garage Using Convolutional Neural Network. Big Data Cogn. Comput. 2020, 4, 20. https://doi.org/10.3390/bdcc4030020

AMA Style

Ciaburro G. Sound Event Detection in Underground Parking Garage Using Convolutional Neural Network. Big Data and Cognitive Computing. 2020; 4(3):20. https://doi.org/10.3390/bdcc4030020

Chicago/Turabian Style

Ciaburro, Giuseppe. 2020. "Sound Event Detection in Underground Parking Garage Using Convolutional Neural Network" Big Data Cogn. Comput. 4, no. 3: 20. https://doi.org/10.3390/bdcc4030020

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