Introduction: Brain Inside (Intel IoT)
Brain Inside is a smart helmet built within 24 hours using Intel Edison at Intel IOT Roadshow. It’s designed for Motorcyclist’s safety.
It has features like
• Auto Turn Indicator
• Alert on Accident
• Light sensing lamps
• Auto Brake Indicator
• Auto Navigation
Step 1: What You Need
To create the smart helmet you need:
- Intel Edison
- Breakout Board
- Accelerometer,
- LED strips or LED Bar
- Single LED
- Buzzer
- Light sensor,
- Proximity sensor
Connect these to the Edison and enable Wi-Fi on the Edison.
Next is the code...
Step 2: Running the Solution
Take the code in Step 3 and copy it to the Edison using vi or any other editor of your choice.
To run the code use NodeJS to execute the JavaScript file.
like
node SmartHelmet.js
Code dependencies:
- MRAA (included in Edison image)
- http
- fs
Adding Email alerts:
In the place where we detect accident, you can insert the Email sending code from SendGrid.
Step 3: Code (SmartHelmet.js)
Attached is the code for running the helmet solution.
Attachments
Step 4: Demo Videos

Participated in the
Safety Challenge

Participated in the
Car and Motorcycle Contest
9 Comments
7 years ago
I am interested in internet of things programming.where can i do this(source)?
7 years ago
Brain sensing helmet makes sense.
EEG sensors could do drowsiness detection and warning....
Reply 7 years ago
Great idea! I'll see if this is possible with our solution. we can also use accelerometer to detect head movements/jerks associated with sleepiness.
Reply 7 years ago
Also take a look at one of our companies,
http://interaxon.ca
and our "Muse" product (brain-sensing headband).
Give it a try with the helmet, and see if it works.
Some people have also done drowsiness detection with Muse.
7 years ago on Introduction
This is such an innovative idea! Perhaps you should have documented it well an added more pictures so the people you want to build it can easily understand.
Reply 7 years ago on Introduction
Thanks. I did some changes to the documentations.
Hope its better now.
Reply 7 years ago
Thanks for making the changes. Much better now.
7 years ago on Introduction
Nicely done! This is a neat idea, thank you for sharing it here.
Reply 7 years ago on Introduction
thanks