Page 39 - TTG-Taiwan Transportation Equipment Guide (TTG) 2026-09 Edition

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Industry Technology

The AI Smart Cockpit System. Photo Courtesy of
Institute for Information Industry (III).

The AI Smart Cockpit System for Large Vehicles These advancements allow fleet operators to
integrate AI-assisted safety systems without requiring
Taiwan has introduced its first AI smart cockpit full platform replacement, creating a significant
system for large commercial vehicles as transportation commercial advantage as the transportation industry
increasingly turns to AI, sensing technologies, and seeks more cost-efficient pathways toward intelligent
real-time driver monitoring to improve fleet safety mobility adoption. Officially launched on April 23,
and operational reliability. Statistics from Taiwan's 2025, the system is scheduled for commercial rollout
Ministry of Transportation and Communications in 2026 and is expected to generate significant
(MOTC) have indicated that more than half of major industrial output, according to the Institute for
local vehicle accidents in 2024 were caused by driver Information Industry (III).
fatigue or distraction. With the support from the
Department of Industrial Technology (DoIT) under The Convergence of AI and Traditional
the Ministry of Economic Affairs (MOEA), the Institute Automotive Components
for Information Industry (III)’s Software Technology
Institute (STI) collaborated with First International Rather than replacing traditional automotive
Computer (FIC) to develop the first “AI Smart Cockpit components, the rise of AI and software-defined
System for Large Commercial Vehicles.” vehicles is accelerating their evolution into more
intelligent and highly integrated systems. From
The system integrates a Driver Monitoring sensing modules and displays to connectors,
System (DMS), a CamBoost AI Enhancer, and an and precision-engineered hardware, traditional
Augmented Reality Head-Up Display (AR-HUD). automotive components remain foundational to
Unlike conventional DMS platforms that primarily the next generation of intelligent mobility. As smart
monitor facial and eye movements, the new system cockpit technologies become increasingly central to
employs side cameras to detect full-body distracted automotive safety, driver interaction, and regulatory
behaviors such as texting, eating, or picking up compliance, demand for integrated automotive
objects while driving. In collaboration with Kneron, electronic systems is rapidly expanding. The next
the Institute for Information Industry (III) developed phase of intelligent mobility will be defined not
the “CamBoost AI Enhancer,” which was showcased only by software but also by the convergence of
at CES 2025. The platform equips existing vehicle AI, sensing technologies, electronics, and precision
cameras with low-power AI chips, enabling manufacturing. For procurement buyers, Taiwan’s
Advanced Driver Assistance System (ADAS) functions expertise in electronic manufacturing enables the
including lane departure detection, forward integration of traditional automotive engineering
collision warning, and pedestrian recognition. By with next-generation smart cockpit and AI-driven
upgrading vehicle cameras with real-time image vehicle technologies at scalable production levels.
recognition and active warning systems, CamBoost Taiwan’s supply chain ecosystem provides sourcing
lowers upgrade costs while reducing hazardous solutions from both critical components and
driving outcomes. The Augmented Reality Head-Up complete systems through a highly coordinated
Display (AR-HUD), developed by First International manufacturing network. This convergence creates
Computer (FIC), projects blind spot images, new opportunities across intelligent vehicle systems,
navigation cues, and AI-detected hazards directly allowing Taiwan to emerge as a scalable, highly
into the driver’s field of view. Safety information is integrated partner within the evolving global supply
optimized to align with the driver’s natural line of chain.
sight, enhancing situational awareness and driver
response times.