LIVALL is expanding the boundaries of two-wheel safety with the introduction of its AI Visual Safety ecosystem, unveiled at CES 2026. Drawing inspiration from active safety systems widely used in the automotive industry, the company is applying AI visual judgment and real-time sensing to cycling and light mobility. The result is an integrated approach that addresses rider safety before, during, and after potential incidents, rather than relying solely on passive protection. LIVALL is comparing its new ecosystem to “Tesla-Grade Safety,” which is well-suited for two-wheeler safety.
AI Visual Smart Helmet
The AI Visual Smart Helmet represents the next evolution of LIVALL’s long-established smart helmet platform. Designed as the central hub of the riding ecosystem, the helmet acts as the primary interface between the rider and LIVALL’s connected safety devices. It builds on the brand’s heritage in active safety, including patented fall detection and SOS emergency alert technologies, while expanding functionality through tighter integration with AI-powered visual systems.
At the core of the helmet’s design is an open-ear audio system that allows riders to remain aware of their surroundings while receiving critical information. Through this system, riders hear real-time safety warnings generated by the AI Visual Smart Taillight, ensuring alerts are delivered without distraction or loss of situational awareness. The helmet also supports everyday riding features such as communication, navigation prompts, and audio playback, consolidating safety and convenience into a single wearable interface.
By functioning as an ecosystem controller rather than a standalone product, the helmet enables seamless coordination between multiple smart accessories. This approach reflects LIVALL’s broader philosophy of making safety intuitive and proactive, while preserving rider comfort and usability.
AI Visual Smart Taillight & Warning System
The AI Visual Smart Taillight & Warning System is the cornerstone of LIVALL’s CES 2026 announcement, introducing a new safety concept to two-wheel mobility. Equipped with an integrated HD camera, AI chip, and multi-sensor fusion, the taillight continuously analyzes the environment behind the rider to address one of cycling’s most persistent risks: rear blind spots.
This system establishes what LIVALL describes as a “pre-to-post-collision” safety loop. Before a potential collision, the taillight performs AI-based visual hazard judgment and issues bi-directional warnings. Riders receive immediate internal alerts through connected devices, while external ultra-bright light bursts actively signal approaching traffic, shifting safety from a passive to an active defense model.
If a dangerous event unfolds, the system automatically captures and secures video footage, creating a reliable evidence record. After a collision or fall, the taillight works in combination with LIVALL’s high-precision motion sensors and patented fall detection technology to trigger SOS alerts, transmitting GPS location data to emergency contacts and enabling faster response during critical moments.
Integrated with LIVALL’s broader ecosystem (including smart helmets and other connected riding accessories), the AI Visual Smart Taillight functions as a safety co-pilot rather than a conventional rear light. Together, these products reflect LIVALL’s objective to reduce accident risks at the earliest possible stage and redefine safety expectations for cyclists and light mobility users.
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