히어 캠 임베디드 플랫폼 설계

In this paper, we implemented the HearCAM platform with Raspberry PI B+ model which is an open source platform. Raspberry PI B+ model consists of dual step-down (buck) power supply with polarity protection circuit and hot-swap protection, Broadcom SoC BCM2835 running at 700MHz, 512MB RAM solered on...

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Bibliographic Details
Published in디지털산업정보학회논문지 Vol. 10; no. 1; pp. 79 - 87
Main Authors 홍선학, 조경순, Hong, Seon Hack, Cho, Kyung Soon
Format Journal Article
LanguageKorean
Published 2014
Subjects
Pattern Matching
Raspberry PI
HearCAM
Voice Recognition
IoT
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Summary:In this paper, we implemented the HearCAM platform with Raspberry PI B+ model which is an open source platform. Raspberry PI B+ model consists of dual step-down (buck) power supply with polarity protection circuit and hot-swap protection, Broadcom SoC BCM2835 running at 700MHz, 512MB RAM solered on top of the Broadcom chip, and PI camera serial connector. In this paper, we used the Google speech recognition engine for recognizing the voice characteristics, and implemented the pattern matching with OpenCV software, and extended the functionality of speech ability with SVOX TTS(Text-to-speech) as the matching result talking to the microphone of users. And therefore we implemented the functions of the HearCAM for identifying the voice and pattern characteristics of target image scanning with PI camera with gathering the temperature sensor data under IoT environment. we implemented the speech recognition, pattern matching, and temperature sensor data logging with Wi-Fi wireless communication. And then we directly designed and made the shape of HearCAM with 3D printing technology.
Bibliography:KISTI1.1003/JNL.JAKO201411742735382
ISSN:1738-6667
2713-9018