Brain Bucket - Smart Head Gear

OpenCV model
Helmet prototype

Inspiration

What it does

The Brain Bucket (Smart Helmet) is designed to ensure proper navigation, discipline, safety and recreation. The helmet has a Voice assisted navigation system uniquely designed for a two-wheeler ensuring vocal and visual assistance. A specially designed Traffic sign Detection System will make sure that the driver is aware of his environment. To predict the possibility of any health hazard during travel, IoT based health monitoring system is included. Night Safety System to help the larger vehicles recognize the smaller vehicles. Immediate Accident Alert System to ensure that the victim get immediate local help and a message is sent to the emergency contacts. As an additional feature, the users can connect their mobile to the model through Bluetooth, for any recreational purposes like listening to music.

How we built it

●The Brain Bucket is a smart helmet centered on a Raspberry Pi. The model has a camera module mounted on the helmet, a Neo 6m GPS Module, a pulse sensor in the helmet, Micro-speakers in the helmet and a small inward facing led screen. ● A Python based Voice enabled Navigation System, is programmed to ensure a hassle free navigation system. An IoT based android app connected to the Helmet will ensure Routing services and Smart Monitoring through Visual data. ● An OpenCV Model is programmed to the Raspberry Pi to analyse and interpret the environment visually. This model detects the Traffic Signs and Symbols, road lanes and road boundaries which are alerted to the driver vocally through the speakers and the same is displayed on the screen. ● An IoT based sensory system which includes the Pulse sensor and a speed sensing system to predict, using a ML Model, the possibility of any health hazard during the travel. ● A Bluetooth enabled recreational system connected to the speaker will allow the user to listen to music, podcasts, etc.

Challenges we ran into

Field Testing was not possible due to the pandemic Had to work individually as we(the team) were not able to meet each in person, due to the pandemic.

What we learned

The various road safety protocols and rules and importance of road safety, We also learned and understood a lot in GeoPi, IoT, OpenCV and Image processing.