In&motion technologyAn intelligent airbag

An intelligent airbag

The In&box, the brain of the system

Our system is an autonomous airbag: it works without cables or sensors on the motorcycle.

The In&box, integrated into the equipment, is the brain of the system, enabling it to anticipate a fall. Thanks to its 6 on-board sensors (3 accelerometers and 3 gyroscopes), it analyzes the user’s position at a rate of 1,000 analyses per second. This data is cross-referenced and processed by predictive algorithms, enabling the system to detect a fall and trigger the airbag if necessary.

The data collected is encrypted and stored on the In&box before being sent back to our servers, encrypted and anonymized, to enable the algorithms to be optimized.

La In&box, cerveau du système In&motion

Detection modes adapted to different practices

Motorcycling, horse riding, skiing… each sport is unique and has its own specificities. Within the same discipline, movement typologies can be very different. For example, on a motorcycle, riding is different depending on whether you’re on the road, on a track or off-road.

By indicating their riding style via the app, users guide the algorithm, making it faster and more efficient in its detection. The algorithm can focus on the most common falls associated with this type of riding. Its thresholds will be less sensitive to falls that are an integral part of the discipline.

Today, In&motion offers 4 moto detection modes: Road, Track, Adventure and MX, and 1 horse riding detection mode. We also offer modes designed for professionals, such as Dakar mode and GP mode.

Street detection mode for In&motion motorbike airbag system
Track detection mode for In&motion motorbike airbag system
Adventure detection mode for In&motion motorbike airbag system
MX detection mode for In&motion motorbike airbag system
Horseback riding detection mode for In&motion airbag system

Detection modes adapted to different riding practices

Motorcycling, horseback riding, skiing… each discipline is unique and has its own specificities. Within the same discipline, movement patterns can be very different. For example, on a motorcycle, riding is different depending on whether you’re on the road, on a track or off-road.

By indicating their riding style via the app, users guide the algorithm, making it faster and more efficient in its detection. The algorithm can focus on the most common falls associated with this type of riding. Its thresholds will be less sensitive to falls that are an integral part of the discipline.

Today, In&motion offers 4 moto detection modes: Road, Track, Adventure and MX, and 1 horse riding detection mode. We also offer modes designed for professionals, such as Dakar mode and GP mode.

Street detection mode for In&motion motorbike airbag system
Track detection mode for In&motion motorbike airbag system
Adventure detection mode for In&motion motorbike airbag system
MX detection mode for In&motion motorbike airbag system
Horse riding detection mode for In&motion airbag system

Continuous system optimization

L'optimisation continue du système airbag moto In&motion grâce aux données de roulage des utilisateurs

Our technology is evolutionary: the algorithms are continually refined by our team of data scientists.

These improvements are based on user feedback from real-life crash and usage situations. Our technology is backed up by 200 million kilometers of motorcycle driving (equivalent to three times the world’s road network!) and 12,000 falls with airbag activation.

This database is a unique resource in the world, enabling the entire community to benefit from improvements in technology, thanks to regular updates of the In&box.

My In&box application: your dashboard

“My In&box” is the mobile application of your airbag system with a real-time dashboard. It enables you to turn the In&box on or off remotely, and provides key information such as the In&box battery level, activated detection modes and any updates to be carried out.

My In&box on App store
My In&box on Playstore
My In&box application
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In&motion

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