🔥 2018 OSS Fire Alarm CCTV 🔥

This is a repository for 2018 OSS Grand Developers Challenge (2018/09/01 ~ 2018/10/1)

Demo(CCTV - Server - Client)

Demo(Visualization mode)

Features

• Image streaming between Raspberry Pi and Python server.
• Fire detection & alarm
• Mobile application for uses
• Firebase Real-time database
• Firebase Cloud Messaging(FCM)

System Architecture

TODO List

• Maintain & Upgrade this project.

• Make performance research graphs.

• Add Smoke detection.

• Fire & smoke data collecting.

• Apply latest deep learning model, for example, YOLO v3.

• Data augmentation.

DONE List

• Gather the information

• Test Demo model on Raspberry Pi 3 B+

• Make train dataset

• First train custom model

• Test model

• If needed, increase a performance of the model

• Make server application

  (Done: receive JSON data from android)
  

• Make client application

  (Done: Recycler Popup window, splash, Push alarm, HD, Call 119)
  

• System Test

• Communication between Raspberry Pi and Python server

• Make a final report and demonstration video

• Build train enviornment

• Make up datasets for testing model's accuracy

• Check clear commumication among Raspberry Pi, Python Server and Android Client

• Design a user-friendly UI/UX on android client app

• Make a database server

• Additional functionality.

  (Done: Server recording, and removing oldest file when it is expiring, Getting detection result from server using log)
  

• Build on AWS server for demonstration.

• License validation

• Function Test (10/31)

• [DEMO]

  Make demo server and client(success connecting python server and android client using TCP socket.)
  

Detection Results

Useful Information

• The TOD(TensorFlow Object Detection) on the Raspberry Pi run environments are Tensorflow 1.9, cudNN 7.2.1 and cuda 9.0(Those are the best setting without error)
• Firebase library dosen't work in Python 3.7

Useful Links

• The Tensorflow official repository

  • https://github.com/tensorflow

• The method to transplant deep learning model on Raspberry pi 3

  • https://github.com/EdjeElectronics/TensorFlow-Object-Detection-on-the-Raspberry-Pi

• The method to train deep learning model using tensorflow object detecion API.

  • https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10

• PyFCM

  • https://github.com/olucurious/PyFCM

• Python-Firebase

  • https://github.com/ozgur/python-firebase

Timeline (2018/09/01 ~ 2018/09/30)