@inproceedings{de8f6e327eed454192360bd8fb3f687a,
title = "Crime Prevention System: Crashing Window Sound Detection Using AI Processor",
abstract = "This paper introduces the AI system that is used as crime prevention system at house or store. This system checks intrusion by detecting the sound of crashing windows. The proposed system consists with a micro controller unit (MCU) and a AI processor. We employ various sounds such as crashing windows, crashing plates, and other sounds that occur in everyday life to verify the proposed system. In order to find the optimized learning model, we employ simulation model of the AI processor and implement the optimal learning model. We tested our proposed system and the result shows accuracy up to 91\%.",
keywords = "AI processor, Embedded system, Internet of Things (IoT), Signal processing",
author = "Go, \{Kwang Hyun\} and Han, \{Chang Yeop\} and Cho, \{Kwon Neung\} and Lee, \{Seung Eun\}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Consumer Electronics, ICCE 2021 ; Conference date: 10-01-2021 Through 12-01-2021",
year = "2021",
month = jan,
day = "10",
doi = "10.1109/ICCE50685.2021.9427630",
language = "English",
series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 IEEE International Conference on Consumer Electronics, ICCE 2021",
}