Navigated Multimedia Smart Helmet, an intelligent safety for bike riders using Raspberry-Pi.
Our project is based on developing a smart system for tracking human actions and taking preventative measures for bike riders in emergency situations. The main purpose of this smart helmet is to provide safety for riders. Our project framework incorporates advanced features like navigation support,
2025-06-28 16:28:39 - Adil Khan
Navigated Multimedia Smart Helmet, an intelligent safety for bike riders using Raspberry-Pi.
Project Area of Specialization Internet of ThingsProject SummaryOur project is based on developing a smart system for tracking human actions and taking preventative measures for bike riders in emergency situations. The main purpose of this smart helmet is to provide safety for riders. Our project framework incorporates advanced features like navigation support, SMS sent on accident detection, and Vlogging during bike riding.
The use of maps necessitates frequent stop navigators, which divert the biker's attention and make it difficult to operate on the move. Motorcyclists, like everyone else, want access to maps, but relying on a touch-screen GPS, cellphone, or whipping out a paper map isn't quite as safe because there's nothing shielding the driver. The user can effortlessly select a place to reach his chosen destination by using navigation support with voice commands.
In the case of a major emergency, the helmet will also provide an emergency SOS, which will send emergency messages to the driver's family, the police station, and a nearby hospital.
Motorcyclists love to tell stories about things that happened while they were riding so the advanced feature of Vlogging in a smart helmet is implemented by employing the camera in front of the helmet.
This system is quite effective in terms of user safety. We can ensure that the rider's focus is on driving. For dealing with a case of an unexpected accident the system would trigger emergency messages to family and emergency services thereby reducing the severe conditions and riders to lose their life.
Project ObjectivesThe objective of this project is to provide a helmet that has navigation support and a front view display on a head-mounted led screen. The helmet will also provide an emergency SOS which would trigger emergency messages to the family of the driver, the police station, and the nearby hospital in case of severe emergency.
Accidents happening day by day in today's world. If the motorcyclist is not wearing a helmet, this has a serious influence. As a result, design a helmet that is both smart and safe, keeping the rider safe from accidents while also taking the required precautions in the case of an accident.
The use of a map diverts the biker's attention and consumes time, to avoid these hurdles navigation support to the rider with voice commands, user can effortlessly select a place to reach his chosen destination. By vlogging during the ride user will be aware of the front environment and the vehicles and can easily record video. By using this smart helmet, a rider achieves an obstruction-free ride and is also facilitated with smart features.
Project Implementation MethodProject Implementations:
- Video Vlogging
- Navigation System
- SMS Sending in case of an accident
With our proposed system we are aiming to keep the rider safe and secure from accidents, traffic issues will be resolved, and time-saving for the rider who effortlessly selects a place to reach his any desired destination. It is a less power-consuming system that can be made easily affordable.
Technologies for this project:
- Speech recognition (for navigation support through mic).
- GPS (for current and destination location)
- OpenCV (for video recording)
- Flask (for webserver)
Modules and deliverables:
- Our first module contains a navigation support system through voice recognition.
- Our second module contains an emergency SOS system
- Our third module contains video vlogging during bike riding.
Tools and Technologies and requirements for the project:
Requirements for this project
- Helmet
- Raspberry Pi 4 Model b/8GB webcams.
- HDMI LED
- Webcam
- Micro SD Card 32GB
- Vibration sensor
- GPS Module
- Microphone
- Map Google Account
- Speaker
Tools for this project
- Windows
- Python
- Linux Ubuntu LTS distribution
- javaScript for map API
- Flask for webserver
- OpenCV for image processing and video recording
- Numpy
- Speech recoginition
- Google geocode API
- Google location API
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 69500 | |||
| Helmet | Miscellaneous | 1 | 6000 | 6000 |
| Raspberry Pi 4 Model b/8GB | Equipment | 1 | 35000 | 35000 |
| Keyboard | Equipment | 1 | 2000 | 2000 |
| Mouse | Equipment | 1 | 1000 | 1000 |
| HDMI LCD | Equipment | 1 | 8000 | 8000 |
| webcam | Equipment | 1 | 5000 | 5000 |
| micro sd card 32gb | Equipment | 1 | 1000 | 1000 |
| Vibration sensor | Equipment | 1 | 1000 | 1000 |
| GPS Module | Equipment | 1 | 2000 | 2000 |
| Microphone | Equipment | 1 | 1500 | 1500 |
| Map Google Account | Equipment | 1 | 3000 | 3000 |
| Speaker | Equipment | 1 | 1000 | 1000 |
| Battery | Equipment | 1 | 3000 | 3000 |