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| 1 | +# Fire Detection System | ||
| 2 | + | ||
| 3 | +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. | ||
| 4 | + | ||
| 5 | + | ||
| 6 | + | ||
| 7 | +<img src="./fire.jpg" alt="fire" width="400" height="300"> | ||
| 8 | + | ||
| 9 | + | ||
| 10 | + | ||
| 11 | +## To-Do | ||
| 12 | + | ||
| 13 | +This project aims and configures the microservices architecture for independent developement that can properly set the tech stacks for each service. | ||
| 14 | + | ||
| 15 | +- CCTV | ||
| 16 | + - Implement CCTV that can transmit every frames of the video to recognize fire. | ||
| 17 | + - Tech stacks: Raspberry Pi, Django, OpenCV | ||
| 18 | + | ||
| 19 | +- Machine Learnig | ||
| 20 | + - Implement a deep-learning model to detect fire. | ||
| 21 | + - Implement a server that can deliver information to the android app when the model detects fire. | ||
| 22 | + - Tech stacks: Tensorflow object detection API, Google Cloud Platform, Django | ||
| 23 | +- Android App | ||
| 24 | + - Configure UI to notify user's phone(Android), when a fire is detected. | ||
| 25 | + - Tech stacks: android studio, Django, mySQL | ||
| 26 | + | ||
| 27 | + | ||
| 28 | + | ... | ... |
fire.jpg
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