Smart, AI Safety Enabled e-Bikes

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 New AI Enabled Safety Systems for E-Bikes



                         Source:  Streetlogic and Stock Images

Much Smarter Bikes

Virtually every global automaker is working on the development of autonomous, self-driving cars.  Now the same technology - ADAS or Advanced Driver Assistance Systems - is starting to be applied to e-bikes for smarter, safer biking.  These new, advanced AI and machine learning enabled technologies are providing cyclists with some of the real-time safety information and data available to drivers in connected cars.

Highly Advanced Technologies

ADAS monitoring can provide cyclists with knowledge of what they can't see because of blind spots around them during their ride.  These emerging safely alert and collision avoidance systems are composed of highly advanced AI, machine learning, computer vision, algorithms and deep neural networks. They spot and analyze threats to the rider and make an assessment of the level of risk.  With the information obtained from ADAS technology, the rider can make real time decisions to stay safe.

New e-Bike Safety Systems

San Francisco-based Streetlogic has developed a new safety alert system that uses artificial intelligence, front and rear bike cameras, video processing, dashcam display and speakers to provide the rider with a 360-degree view and alert system of what is going on around them.  The system provides the rider warnings of a safety issue by audio and visual alerts.  The display for the rider is always on and saves footage of any collisions or close calls.  This system is priced at $300 to $400 and will be available in late 2022. At the moment, it is targeted at preventing vehicle and bike collisions.  But the company says it can be expanded to include warnings of potholes and more on the road.  Streetlogic calls their system an "extra set of eyes" so "you can stay safe while you ride."

Blinc Bike

Another new system is Blinc Bike, which provides a Rear View Monitoring System for the rider. The system is on the handlebars.  The system's camera tracts and classifies objects behind the rider like a speeding car.  The display alerts the rider and there are also haptic feedback alerts via a wristband, leg strap or through the hand grips of the bike.  The purpose is to enable the driver to make a real-time decision for their safety.  Creating AI enabled technology for safer biking and eventually autonomous e-biking is a big area of travel R&D and growth.  

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