The super scooter “The Senmenti” can accelerate quickly up to a top speed of 124 mph. These scooters are jam-packed with technology and have an outlandish chassis design. The Senmenti can do 0–100 km/h in 2.8 seconds. This scooter has a robustly high peak speed, and the 16.2-kWh battery pack can give it a remarkable 300 km (186 miles) of range if you ride at a respectable 88 km/h (55 mph). The cameras are also intended to monitor the rider and the road conditions so that the bike may learn your behaviors and adjust its power output accordingly.
These super scooters are made by Horwin, an Austrian-designed and China-manufactured electric motorcycle company. Horwin has equipped this machine with more than 30 cameras, sensors, and deep learning processors in an effort to position itself as a technological powerhouse. Real-time tire pressure monitoring, front and rear mm-wave radars for collision and blind spot warnings, hill-start assistance, descent control, and auto-hold are among the features that are available in the scooter.
To keep the bike safe in case it’s stolen or damaged, cameras and sensors all around the bike enable “sentry mode.” The AI systems in these cameras will try to determine the coolest aspects of your vehicle, so they can automatically capture selfie films and brief clips from their cameras. A key fob, a Bluetooth link, or a phone app can start it up without a key. The bike has heated seats and bars, traction control, three-level adjustable air shocks, ABS, and a “fully automatic windshield.” It even has a reverse mode to help it escape tight spaces.
It’s not known what the weird device circling the front axle of the Senmenti 0 might be, as it appears to be equipped with standard forks. However, the other idea Horwin is proposing to EICMA is a bit more radical. The Senmenti X uses a new architecture and is built to closely equal the performance metrics of the 0 model. Horwin claims that an electric design that incorporates the battery, motor, and controller as integral parts of the frame will “fundamentally solve the triangle paradox of performance, range, and weight.”