Project Overview & details:

Short Description: Our “Robust Gas and Smoke Sensing Device” and open-source “SofiA server” combined to work simultaneously, and reduces the time needed for detecting leaked gases & also fires using social networks scraping supported by AI decision making, and a mobile App “SofiA” (Made by help of open-source SofiA server) where users can report and also get alerts directly by real-time GPRS messaging system. If there is good internet connection & user smartphone support GPS and AR (Augmented Reality) API, then the App advising the users about safe routes away from the fire with augmented reality. In Future, we will include gamification technique in “SofiA server and SofiA App” to encourage people to participate for reporting about wildfire situations happening to their surroundings.

Summary: In our project “Observe Gaseous Ecology and Save the Season” we create a device “Robust Gas and Smoke Sensing Device” which simultaneously work with an App (SofiA), this App is made by open-source “SofiA server, that leverages NASA's near-real-time and archival wildfire datasets along with other tools like various technologies including machine learning, artificial intelligence, voice recognition, application programming interface (API) development, data science and analytics, Internet of Things (IoT), image processing, mobile computing, cloud services, and computing and edge computing to engage and enable citizens to assist with the entire firefighting and fire mitigation process.

Our Prototype: SofiA server reduces the time needed for detecting fires using “Robust Gas and Smoke Sensing Device” & “SofiA” App and also using social networks scraping supported by AI decision making. So that SofiA App users can report and also get alerts as fast as possible.

Features:

1. Report a fire message by “Robust Gas and Smoke Sensing Device”

2. Cross checking of reported message with NASA fire database and with various social media reports, verify whether a picture/video is fire-related to reported message.

3. The global alert system corresponding to the affected area.

4. SMS to telephone users (Real-time GPRS Messaging alert) close to the area through the following channels local telephone companies, as long as they offer their collaboration.

5. Communicate to users of the Collaborative APP in the affected area.

6. Give information about active fires in user’s area.

7. Give safe routes away from the fire (AR).

What our prototype does?

In our project “Observe Gaseous Ecology and Save the Season” we create a device “Robust Gas and Smoke Sensing Device” which simultaneously work with an App (SofiA), this App is made by open-source “SofiA server, that leverages NASA's near-real-time and archival wildfire datasets along with other tools like various technologies including machine learning, artificial intelligence, voice recognition, application programming interface (API) development, data science and analytics, Internet of Things (IoT), image processing, mobile computing, cloud services, and computing and edge computing to engage and enable citizens to assist with the entire firefighting and fire mitigation process.

Our “Robust Gas and Smoke Sensing Device” and open-source “SofiA server” combined to work simultaneously, and reduces the time needed for detecting leaked gases & also fires using social networks scraping supported by AI decision making, and a mobile App “SofiA” (Made by help of open-source SofiA server) where users can report and also get alerts directly by real-time GPRS messaging system. If there is good internet connection & user smartphone support GPS and AR (Augmented Reality) API, then the App advising the users about safe routes away from the fire with augmented reality. In Future, we will include gamification technique in “SofiA server and SofiA App” to encourage people to participate for reporting about wildfire situations happening to their surroundings.

Future Plan:

1. Adding Gamification technique to encourage participation of Prototype user.

2. Make our prototype hardware parts (Device) more comfortable and portable.

3. Make our prototype software part (App) more smoothly controllable in lighter size

4. Make this App available for all other platforms (Android, Windows, Web application)

Resource:

1. Source code:

The source code are stored under a Git-hub account. It contains source code for the iOS application, Sofia server, Augmented Reality APP for Android and all graphic files, documents and prototypes. The code are under GPL license and could be used for any purpose.

• Hardware-Robust Gas and Smoke Sensing Device:

https://github.com/ebnulkarim572/Robust_Gas_and_Sm...

• App Project & Documentation:

https://github.com/ebnulkarim572/SofiA-App-Project...

• SofiA App, SofiA Server & API:

https://github.com/ebnulkarim572/SofiA-APP-Sofia-S...

• Augmented Reality POC:

https://github.com/ebnulkarim572/SofiA-App-Project...

2. NASA open source link:

• https://earthdata.nasa.gov/earth-observation-data/...
• https://nex.nasa.gov/nex/static/htdocs/site/extra/...
• https://irwint.doi.gov
• https://inciweb.nwcg.gov
• https://earthobservatory.nasa.gov/global-maps/MOP_...

3. Other sources of information integrated in the project:

• Population Density

Annual population density data at approximately 1 km resolution were obtained from the Land-scan global population database [3]. Data is downloaded daily from: https://landscan.ornl.gov/

• Visual Smoke Plume Detection

Aerosol optical depth (AOD) using GOES-East and GOES-West with 30 min temporal resolution [4]. Data is downloaded from: https://www.ospo.noaa.gov/Products/atmosphere/aero...

• Active Fires and Never Burnes Places

Near real-time fire products are generated within approximately 3 hours from both the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Visible Infrared Imaging Radiometer Suite (VIIRS). Data is downloaded from: https://firms.modaps.eosdis.nasa.gov/

• Burned Area Product (MCD45A1)

Monthly gridded 500 meter product, which contains burning and quality assurance information. Data is downloaded from: https://firms.modaps.eosdis.nasa.gov/

4. Tools used:

• Unity 3D
• Solidworks
• Autodesk 3ds Max
• C# programming language
• Adobe Photoshop
• Adobe illustrator
• Audio Sound Creator:

Team Leader: Md. Ebnul Karim (Presentation video-partial audio creator)

https://audio.online-convert.com

Hardware used: Arduino Uno Board, Arduino IDE Software, MQ-2 Gas Sensor Module with built in potentiometer, Breadboard, powering cable and Jumper wires, GPRS SIM900A Kit Module, Buzzer (for sound beeping), I2C Liquid Crystal Display.

5. Others:

• Wikipedia, Linked In, GitHub, YouTube

https://gisgeography.com/ndvi-normalized-difference-vegetation-index/