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Blind-Spot Monitor

The combination of radar and camera detects vehicles approaching from the rear and those already passing but hidden from their view in the area not covered by the rear-view.

Rear Cross-Traffic

A rear cross-traffic alert typically works in conjunction with the blind spot monitoring system. These systems let you know if you’re about to back into oncoming cross traffic. Multiple sensors and cameras are located near the rear of the vehicle, detecting traffic that comes from the sides of bikes.

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Collision Avoidance

ADAS are meant for warning drivers about potential dangers that arise on the roads. The system triggers the e-bike riders’ attention to possible crashes. As more than 90% of road accidents, injuries and fatalities are due to human error, the advancement in ADAS has a positive effect on preventing crashes, injuries, and deaths. ADAS can warn e-bike riders of potential dangers in order to prevent an accident. In short, ADAS compensates for human mistakes, be they inattentiveness, erroneous control inputs, or up to a point, downright stupidity.

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Object Detection

Radar sensors are installed side and rear of the e-bike. They detect objects up to 170 meters by means of emitting these radio waves and measuring the propagation time of the returned reflections. This allows them to measure both the size and distance of an object and its relative speed. Radar is especially good at detecting metal objects like cars. Radar can function well during adverse weather conditions. Our radars are also equipped with detection algorithm software enables them to distinguish between multiple target objects.

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Dash Cameras

Cameras used for ADAS are monitoring and sensing. The purpose of the monitoring function is mainly to provide complementary information such as information on blind spots. The sensing function is a function to extract information necessary for objection detection and blind spots detection from pictures taken by the cameras such as textures, pedestrians, cars, and traffic signs.

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Senors

ADAS use inputs from multiple sensors of cameras and radars. The fusion of these inputs is processed and the alert is delivered to the riders. 

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Alerts

Audible speech alert via a speaker, visual LED blinking alerts, written messages alert by APP .

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Artificial lntelligence

The monitoring system can detect, track and classify objects (cars, pedestrians, and traffic signs) by using AI-based computer vision, machine learning and deep neural networks. Its leading algorithms will be able to classify objects and discern the appropriate threat and risk level, empowering riders to make smart and safe decisions in time.


Advanced Driver Assistance System (ADAS)

The most secure ride ever

These systems use inputs from multiple sensors of cameras and radars. The fusion of these inputs is processed and the alert is delivered to the riders.

ADAS sensors

ADAS Alerts

ADAS can warn e-bike riders of potential dangers in order to prevent an accident. Freetech activates an audible alert through a speaker, a message alert by APP, and a visual LED blinking alert to change their riding decisions in seconds.

ADAS Software

Cameras are integrated image recognition software while radars are also equipped with detection algorithm software that allows them to distinguish between multiple targets.

How ADAS works?

ADAS monitoring can provide riders with the ability to gain insights into the unseen. Like what’s behind them and in their blind spots as they ride. These systems can detect, classify and track objects by using advanced computer vision, machine learning algorithms, and deep neural networks.

Why have ADAS?

In the U.S., hundreds of people are killed while biking each year, while thousands more are injured. E-bike riders are at more risk than car drivers. ADAS (Advanced Driver Assistance Systems) can increase their protection, decrease their injuries and even save their life. The safe way is the right way. In short, ADAS means safer roads.  The system discerns the appropriate threat and risk level, empowering riders to make smart and safe decisions in time. So, it helps prevent human error, which ultimately leads to a safer rider experience and less potential threat.



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