A bike with AI, radar, and cameras: this is the revolutionary Canyon Predict

Canyon has taken advantage of the lead-up to Eurobike 2026 to showcase one of the most ambitious concepts ever seen in the cycling industry. This is the new Canyon Predict, a concept bike equipped with cameras, radars, sensors, and artificial intelligence capable of analyzing the environment in real-time to warn the cyclist of risks even before they are aware of them.

Canyon imagines a smart bike that analyzes traffic and anticipates risks

Far from being a mere technological demonstration, the German brand presents Predict as a vision for the future of road safety, a system that seeks to transform cyclist protection from a reactive approach to a predictive one.

A bike that “sees” what the cyclist cannot see

The idea behind Canyon Predict is simple to explain but extremely complex from a technological standpoint: to create a bike capable of constantly monitoring everything happening around the cyclist and anticipating potential risk situations.

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To achieve this, the system combines cameras, radars, and sensors distributed throughout the bike, generating a 360-degree view of the environment. All this information is processed using artificial intelligence directly on the bike itself, without the need for an internet connection or cloud services.

The goal is to eliminate blind spots, detect vehicles, obstacles, or nearby road users, and calculate possible future trajectories to determine the level of risk of each situation.

According to Canyon, the system is capable of identifying potential dangers related to traffic, road conditions, position within a group, or even the appropriate speed to tackle a curve.

Edge AI: all intelligence is integrated into the bike

One of the most striking elements of the project is that all processing is done using Edge AI technology.

Unlike other systems that rely on external servers, the Canyon Predict analyzes and processes all information directly on the bike. This allows for instant responses, avoids latency issues, and reduces concerns related to user privacy.

The platform combines information from:

• Peripheral vision cameras.
• Radar sensors.
• Distributed motion sensors.
• A multidimensional sensor integrated into the hub of a DT Swiss wheel.
• Dynamic data from the cyclist themselves, such as speed, direction, or stability.

With all this data, a real-time digital model is generated that constantly evaluates the environment and calculates potential risks before they occur.

Integrated display and smart alerts

All information is displayed through a screen perfectly integrated into the bike's handlebars.

Far from becoming another device that distracts the user, Canyon assures that the system has been designed to simplify decision-making through intuitive and contextual alerts.

The interface can display:

• Terrain status.
• Danger warnings.
• Predictive information about traffic.
• Assistance for group riding.
• Positioning data within the peloton.

In addition to visual information, the system can use light signals or haptic alerts to communicate risk situations without forcing the cyclist to take their eyes off the road.

An augmented reality helmet as a complement

The Canyon Predict does not come alone. The bike has been developed to work in conjunction with the Stingr Smart Helmet prototype.

This helmet incorporates a deployable visor with augmented reality technology capable of projecting information directly into the user's field of vision.

The combination of both devices would allow for alerts, navigation instructions, and safety-related data to be displayed without the need to consult the integrated screen on the bike.

It can even act on the bike

One of the most futuristic aspects of the project is that Canyon does not limit itself to informing the cyclist.

In certain critical situations, the system could intervene on some components of the bike to help improve control.

The brand cites the possibility of remotely activating a dropper post to lower the cyclist's center of gravity and increase stability in compromised situations before a fall occurs.

Canyon believes that safety is the great pending challenge of cycling

Fedja Delic, Canyon's design manager, explains that the project was born after analyzing the evolution of road safety over the last decade.

“Cars have become inherently safer, and motorist deaths have decreased over the last ten years, but bicycles have not experienced significant improvements in safety. In fact, the absolute and proportional number of cyclists killed or seriously injured is increasing in many countries.”

Delic adds that current technology allows for a significant leap in this area:

“While technology has made driving a car safer than ever, riding a bike on the road could be more dangerous today than ever. However, with the technology available, it is perfectly possible to achieve significant improvements in cyclist safety.”

Will it really reach the market?

For now, Canyon has not announced launch dates or commercial products directly derived from Predict. The bike will be one of the main attractions at Eurobike 2026, where the brand will showcase both this concept and the Stingr Smart Helmet and explain how many of these technologies could be progressively integrated into production bikes over the coming years.

What seems evident is that Canyon is already imagining a future where bikes not only react to dangers but are capable of anticipating them before they happen.