AI-Powered Visual Safety System for Cyclists at CES

The landscape of two-wheel safety is undergoing a technological shift as AI-driven active defense systems move from automobiles to bicycles and e-bikes. At CES 2026, LIVALL Corporation has unveiled a new ecosystem designed to eliminate rider blind spots using visual sensing technology similar to that found in modern electric vehicles.

The center of the announcement is the VG1 AI Visual Smart Taillight, a device that shifts the focus of cycling safety from passive protection (mitigating injury during a crash) to active prevention (avoiding the crash entirely).

Bridging the Gap Between Two-Wheel and Four-Wheel Safety

While automotive safety has progressed rapidly with the integration of cameras and radar, cyclists have traditionally remained vulnerable to rear-end collisions—often due to a lack of visibility or “blind spot” awareness. LIVALL’s new VG1 model aims to bridge this gap through “multi-sensor fusion” and edge computing.

The system operates on a three-stage safety loop:

Pre-Collision (AI Active Defense): An integrated high-definition camera with a 120° wide-angle lens monitors approaching traffic. When the AI chip identifies a potential hazard, it triggers a bi-directional warning: an audible alert for the rider (via a built-in buzzer or a connected smart helmet) and an ultra-bright light burst to alert the approaching driver.
During-Collision (Evidence Capture): If a high-risk event or impact is detected, the device automatically locks video footage to serve as a digital record for insurance or legal purposes.
Post-Collision (Emergency Response): Utilizing patented fall detection technology, the system can automatically transmit GPS coordinates to emergency contacts if the rider is unresponsive, prioritizing the “Golden Hour” of medical rescue.

A Connected Ecosystem: The VGH10 Smart Helmet

Accompanying the taillight is the VGH10 AI Visual Smart Helmet. Rather than acting as a standalone piece of equipment, the helmet serves as the central hub for the rider’s interface. Using open-ear audio technology, the helmet relays real-time alerts from the VG1 taillight, allowing riders to maintain peripheral hearing while receiving safety notifications, navigation prompts, and communication.

LIVALL also confirmed that its upcoming helmet lineup will integrate with advanced AI language models, enabling hands-free control of various features to ensure riders keep their hands on the handlebars at all times.

The Shift Toward “Active” Safety

The introduction of these tools marks a pivot in the micro-mobility industry. Traditionally, bicycle safety has relied on helmets and reflective gear. By incorporating AI visual judgment, LIVALL is attempting to lower accident rates by intervening before a collision occurs.

“We aim to prevent collisions at the source—the pre-collision phase,” stated Bryan Zheng, Founder of LIVALL. The company suggests that reducing two-wheel accidents is not only a matter of personal safety but a necessary step in conserving public healthcare resources as smart cities become more congested.

Stay tuned for for full review of everything Livall has showcased at the event once we get our hands on the review unit.