How it works

RideSafe needs accelerometer and gyroscope data to detect bikers' falls.
Once the lib installed and configured on your app, this will listen for new accelerometer and gyroscope events, storing them in memory (very tiny footprint) before shipping them to the backend.

Backend & algorithm

The RideSafe backend is in charge of receiving data from clients. It is Spring Boot + Kotlin based application backed by Cassandra database
Fall algorithm detection will be available soon.

Android & IPhone library

The RideSafe lib is in charge of getting accelerometer and gyroscope data (timestamp, x², y², z²) from your smartphone and then ship them to the RideSafe Backend
. RideSafe Android library is already available.
IPhone library will be available Q4 2017.

RideSafe action plan

To provide high quality algorithm, Nousmotards will collect user data.

Our smartphones have accelerometers to measure gyroscope and acceleration forces of individuals, these data can be used to analyse the behaviour: when walking, running, biking and even falling!
The self learning algorithms are able to improve the detection of a fall by analysing such data.

Thanks to professionals and Nousmotards users we will collect fall data. Data and algorithm will be available under the Apache license, this means that the changes and improvements made will be communicated to the community. Commercial use is unrestricted.

The project is based on the work of Ludwine Probst and Amira Lakhal which detects one type of activity from the accelerometer integrated in smartphones and a self-learning algorithm called machine learning. With data collected we will be able to detect rider's activities and falls.

Mobile networks are not available everywhere, the last step of this project is to embedded algorithm on the mobile and update it regularly from server data.

Our Team

RideSafe has been launched by Nousmotards. It is a service platform for bikers, created by 3 engineers and bikers:

Romaric Philogène

Co-founder

Senior developer and Speed Triple rider

Rémi Demol

Co-founder

Senior developer, S1000XR

Pierre Mavro

Co-founder

Senior DevOps, S1000RR and Hornet rider

Partnerships

Ridesafe are looking for worldwide partners specialised in motorbike and/or technology.

Google Cloud France

Google Cloud has propose credits for data mining and storage.

You?

Ridesafe are looking for worldwide partners specialised in motorbike and/or technology.

Download

RideSafe Backend

The RideSafe backend is in charge of receiving data from clients. It is Spring Boot + Kotlin based application backed by Cassandra database

Download

RideSafe Android

The RideSafe lib is in charge of getting accelerometer and gyroscope data (timestamp, x², y², z²) from your smartphone and then ship them to the RideSafe Backend.

Download

RideSafe IOS

Coming Q4 2017.

Want more informations or contribute?

Contact Us