눈치-VX 플랫폼

In a driverless autonomous robotaxi environment, a critical issue arises when passengers face acute medical emergencies such as cardiac arrest or seizures, making immediate response difficult. Existing autonomous driving systems are focused on responding to traffic accidents, lacking the ability to proactively recognize passenger health crises.

Consequently, passengers may have to request help themselves or experience delays during emergencies, posing a significant risk, especially for the elderly or those with chronic diseases traveling alone. To address these limitations, there is an increasing need to monitor the passenger's condition and proactively respond in place of a driver.

Noonchi-VX non-invasively analyzes a passenger's voice tone, gaze direction, facial color, and perspiration in real-time using multimodal sensors such as cameras and microphones, enabling early detection of even pre-seizure symptoms. With disease-specific AI models trained on hospital clinical data,92% accuracy (F1=0.89)prediction performance has been achieved, and when an emergency sign is detected, the vehicle route is automatically changed to the nearest emergency room for transport.

In addition, it immediately transmits the passenger's biometric data and condition to paramedics and calmly reassures the passenger through a voice interface, taking emergency measures before an accident occurs as theworld's first "Preventive Emergency AI Co-pilot"It is. In particular, the edge AI architecture ensures that core functions operate even when the communication connection is lost, which is a major differentiating factor that ensures reliability.

Autonomous robotaxi operators or finished vehicle manufacturers are expected to adopt this platform by installing it in their vehicles (B2B). For example, mobility service providers may adopt it for passenger safety, or it can be applied to autonomous shuttle operating organizations (public transportation).

In addition, local governments/public institutions operating special-purpose vehicles such as elderly transportation services or medical transport vehicles may also be interested, making B2G sales possible. Ultimately, it is likely to become a standard safety technology in the era of fully autonomous driving and be included as an option in the vehicle manufacturing stage.

The technology itself consists of in-vehicle sensing and AI analysis algorithms, making it applicable to various vehicles or mobility environments. Currently, it is focused on robotaxis, but it can be expanded to autonomous buses, trucks, etc., and there is room for application in specialized fields such as senior mobility and medical ambulance shuttles.

Although each country has autonomous vehicle safety regulations, this solution is likely to be recognized as a function that helps meet regulations and build social trust. However, since the market size is closely related to the commercialization speed of autonomous driving technology, it is expected to be introduced first in regions with well-developed autonomous driving infrastructure and gradually expand.

The CES judges described Noonchi-VX as“a perfect fusion of AI safety technology and human-centered design”and praised it as a solution that will increase the social credibility of the autonomous driving industry. As can be seen from its history of winning the CES Innovation Award for three consecutive years (2024~2026), there is high confidence in its technological prowess, and it has attracted the attention of the market and experts for proactively solving the safety problems of driverless vehicles.

Although the level of technological completion is high, some are cautious that an immediate large market may not be formed because the penetration rate of autonomous vehicles and regulatory approval are variables. Nevertheless,a “new standard for mobility safety”Positive prospects are dominant that it has the potential to establish itself as.