12.00 – 12.25
Vision AI is redefining how humans will interact with industrial machines. Traditional industrial user interfaces are reactive by design, built to display information, but not to understand what is happening around them. Vision AI on the edge fundamentally changes this paradigm by enabling machines to perceive people, context, and their environment in real time.
In this session, you will discover how edge-based Vision AI can turn industrial HMIs into intelligent, adaptive user interfaces that respond dynamically to operators and situations. This presentation provides a technical deep dive into the hardware innovations and system enablers behind this shift, including efficient edge AI architectures, vision processing pipelines, and on-device inference.
Through real-world industrial use cases we will show how next-generation Vision AI hardware enables intuitive interaction, safety-aware operation, and real-time operator guidance all running locally on power-efficient, cost-effective industrial platforms.
Topics & Takeaways:
Vision AI • Context-Aware Interfaces • On-Device Inference • power-efficient & cost-effective edge AI• Qualcomm NPU architecture
Speaker: Ognen Basarovski – Qualcomm (on behalf of Tria Technologies – ref: EBV Elektronik)