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스핀어웹 - 화재 대응을 위한 불꽃 인식 시스템 연구 (이동찬, 김효준, 장준영)

68fe0f1a upload 발표자료 · by HyoJoon

Fire Detection System

Fire helps us a lot. However, despite the numerous benefits, we face several unexpected fires. In this project, we will build a system to detect fire and respond appropriately.

fire

To-Do

This project aims and configures the microservices architecture for independent developement that can properly set the tech stacks for each service.

  • CCTV

    • Implement CCTV that can transmit every frames of the video to recognize fire.
    • Tech stacks: Raspberry Pi, Django, OpenCV
  • Machine Learnig

    • Implement a deep-learning model to detect fire.
    • Implement a server that can deliver information to the android app when the model detects fire.
    • Tech stacks: Tensorflow object detection API, Google Cloud Platform, Django
  • Android App

    • Configure UI to notify user's phone(Android), when a fire is detected.
    • Tech stacks: android studio, Django, mySQL