drexel-dragonhacks-hackathon's Introduction

Drexel-Dragonhacks-Hackathon

Smart Kitchen Smoke Detector

This repository contains the code for the project demonstrated at Drexel DragonHacks Hackathon 2020. Aim of the project was to build a sensor network for kitchens to detect smoke and activity related to fire that could be deemed hazardous. It consists of several components, which are as follows

Sensor network capable of sending readings to a local server
Object detection and recognition module running on local system
Web app used to log, record and analyse everyday activity and utilization of resources
Machine learning model to distinguish and classify fire activities as human intended usage or accidental
Notification service running on a cloud server

Following are the parts present in the the setup picture above

First laptop is providing power to Arduino and internet connection using Ethernet bridge. It can also read data on the serial link.
The Arduino and Raspberry Pi work together as a sensor network module and a local server respectively. To the Arduino, a DHT11 Temperature and Humidity sensor, a smoke sensor and an Air Quality Index (AQI) sensors are connected. Sensors can be seen placed over the breadboard. A HC05 bluetooth module is also connected in order to communicate wiht the Raspberry Pi.
The second laptop has 2 windows open. The window on the left is a remote desktop terminal to the Raspberry Pi which is logging the incoming data on the terminal. The window on the left is a Google Sheets window which is logging the Arduino data into a spreadsheet. This spreadsheet data is later used to draw analytics for the same.

Team Members: Kavy Jain, Sanket Jain, Raghav Daga, Meet Patel

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