Israeli Startup Ride Vision Introduces World’s First Collision Aversion Technology with 360º Predictive Vision

Motorcycle safety has been seeing lots of new developments lately; whether it’s KTM’s latest Adaptive Cruise Control and Blind Spot Detection, Bosch’s jet thrusters to prevent lowside crashes or the ever trustworthy Anti-Lock Braking System, the two-wheel market is finally seeing some significant technologies added to increase a biker’s safety.

(Image screenshot from YouTube)

And on 14th June, Israeli startup Ride Vision introduced something new to the roster. The world’s first Collision Aversion Technology (CAT) which gives any motorcycle 360º Predictive Vision.

With a $2.5 million funding, Ride Vision has produced a potentially life-saving solution for motorcycles. According to the press release, CAT is a “fusion of a neural network based deep learning platform and computer vision that enables an accurate, affordable, life-saving solution for any motorcycle, without the need for complex hardware or expensive cameras.”

The system works using sensors which are used to detect threats in the rider’s blind spot. The sensors will then be able to predict any risk and highlight the relevant threat for the rider in one-tenth of a second, allowing the rider to take any necessary precautions.

Helpful for both the new and experienced rider, this technology will provide almost instant 360º collision protection without distracting the rider’s focus.

Check out the video below to get a closer look on the CAT!

Yoav Leitersdorf, managing partner at YL Ventures and leader of Ride Vision’s funding, said: “While ADAS accident prevention technologies have become standard in cars, there is great potential to solve this problem for the underserved motorcycle market that accounts for 17% of all driver and passenger traffic.”

“Uri and Lior are a very strong team and avid riders themselves, uniquely poised to serve this great market challenge with cutting-edge computer vision and deep learning,” he continued.

“Motorbike riders are typically coordinated, alert and very much in tune with the road. We have a special relationship with the road, but unfortunately many factors beyond our control increase risk of collision and the high speed, lightweight, fully exposed nature of the bike makes collisions more dangerous,” Uri Lavi, CEO and co-founder of Ride Vision explained.

The CEO added: “As riders ourselves, we decided to apply our deep learning and advanced vision technology expertise to overcome the cost and technological challenges required to bring any motorbikes and their riders the ability to see, predict and prevent collisions with technology smart enough to leverage standard hardware and cameras, delivering warning signals within 100 milliseconds, without disturbing the rider’s focus.”

“The company’s vision-based collision avoidance system will enable a whole new era for motorcycles, increasing their safety and providing an improved riding experience. We are thrilled to join their journey to become leader in this first of many highly attractive markets for their groundbreaking Collision Aversion Technology,” Leitersdorf finished.

Hopefully, this technology will be able to provide motorcyclists with a safer riding experience.