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CNN-Audio Classification Implemented robot of Arduino+Raspberry Pi

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Mobile Agent for Smart Home

CNN-Audio Classification Implemented Arduino+Raspberry Pi robot

IoT with AI tehcnology using Arduino ,Raspbeery Pi for audio classification to detect the "dangersoun sound" in smarthome.

Best Poster/Presentation Award from Institution of Engineering and Technology (IET) in 2018-2019

IET Banner

IET Prize winner list (2019) from the official IET website:

https://www.theiet.org/impact-society/awards-scholarships/iet-student-prizes/winners/

Articles on XJTLU Website :
English https://www.xjtlu.edu.cn/en/news/2019/06/xjtlu-student-named-institution-of-engineering-and-technology-prize-winner

Chinese https://www.xjtlu.edu.cn/zh/news/2018/12/2018dianqixihaibaozhan

Proejct Scopre

  1. Project Name Mobile Agnet for Smart Home

  2. Project Background

Final year project for 2018-2019 XJTLU : Electric and Elctrical Engineering
IoT + AI smart home application.

  1. Implemented Features

    Robot::

    • collision prevention
    • Sound detect

    AI::

    • Sound classification

    Network communicatoin::

    • Dddddddddddd
  2. Skills

    Software
    Python
    CNN
    Tensorflow
    IFTTT
    (C++) Arduino
    Hardware
    Arduino Mega
    Raspberry Pi3 B
    MotorShield
    Sound Sensor
    Ultrasonic Sensor
    Micriphone
  3. Demo video

  4. Thesis Paper : https://1drv.ms/b/s!AtERkDeVL_bBge54d57-4ly-pugTmw?e=1NzceH

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CNN-Audio Classification Implemented robot of Arduino+Raspberry Pi

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  • Python 81.9%
  • C++ 12.3%
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