Flame Warden

Entire system layout. Speakers are triggered with fire and carbon monoxide alarms.
Displaying a fire alarm and carbon monoxide alarm
Camera's filtration software finding people.
Log of the actions the rasberry pi hardware takes
Fire alarm
Carbon monoxide no occupants
Carbon monoxide alarm
Fire alarm
Image detection finding people
breadboard layout
Fire alarm going off
image capture and processing
Carbon monoxide detction
Carbon monoxide detection in a glass
hardware layout

Inspiration

We wanted to create an integrated solution for fire safety among the general public. Many people die every year from smoke inhalation and carbon monoxide poisoning. The recent death of a mother and her daughter inside of a car due to carbon monoxide inspired us to come up with a solution to save lives. We wanted to come up with a system that could help fire fighters find victims quickly and prevent false alarms.

What it does

Features of the Flame Warden Alarm system

Smoke and carbon monoxide sensor
Blinking LEDs and loud buzzer sound
Additional layer of fire validation via real time video analysis
Immediate alert to the authorities and registered users of a potential threat (SMS and Email)
Mobile application
Locationing of people within the hazardous area
Live image of the hazard area with count of people and type of threat

How we built it

Technologies:

Raspberry Pi
Camera / Touch Screen
Hardware Sensors (CO/Gas module/LED)
Mobile programming (iOS)
Image processing and detection (OpenCV)
Cloud Deployment (Digital Ocean)

Challenges we ran into Fire Warden

Hardware:

Sensors did not have documentation.
Learning the Raspberry Pi GPIO controls.
Push notifications in ILS.
Image processing figuring out correct motion detection for identification of fire origin.
Setting up the hardware (camera installation/driver installation/enabling i/o)

Software:

Learning how to better use iOS UI development.
Compilation in Raspberry Pi of Open CV libraries.
Lack of knowledge of Python (sensors)
HTTPS communication did not work by default on iOS

Accomplishments that we're proud of

We achieved MVP quickly and were able to finish our stretch goals. We were able to deploy a full end to end solution that could be deployed commercially. We were able to get all of our sensors working. A lot of us worked with technology we never used before yet we were able to complete our solution. We also traveled a far distance on little sleep yet were able to stay up late into the night.

What's next for Flame Warden

Flesh out the proximity sensor
Add on full onboarding and configuration for iOS
Expand to Android
Expand to web
Make a desktop UI application that runs for the Raspberry Pi
Better and accurate fire detection (combination of infrared and image algos)
Build nice form factor case for product

Demo

Demo (video)

https://youtu.be/U5rABt6q_Qo

Built With

Submitted to

Tech Valley Center of Gravity Internet of Things Hackathon, Powered by AT&T
- Winner Best Smart Building Solution
- Winner Most Likely to be Commercially Successful

Created by

I worked on the REST Server (end points for iOS, Raspberry device), Cloud Deployment, Device Notification, Image processing and detection (OpenCV)

Eugene Chung
I worked on developing the iOS application. This included retrieving the house data from the server, displaying room occupancy, room layout and live images of each room.

David M
I worked on prototyping the hardware platform and interfacing the raspberry pi with the sensors. This includes writing the code to read/write from GPIO pins and process the data. Made the alert loop and posts to the server.

asheik hussain
Ezafat Khan
George balayan