Crime Prevention System: Crashing Window Sound Detection Using AI Processor
| Autor: | Seung Eun Lee, Kwang Hyun Go, Chang Yeop Han, Kwon Neung Cho |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
business.industry 020208 electrical & electronic engineering Sound detection Real-time computing Window (computing) 020206 networking & telecommunications 02 engineering and technology Intrusion Microcontroller Software Crime prevention Server 0202 electrical engineering electronic engineering information engineering Process control business |
| Zdroj: | ICCE |
| DOI: | 10.1109/icce50685.2021.9427630 |
| Popis: | 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%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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