After years of incremental evolution, OpenCV 5 brings big changes to the world’s most popular CV library. We’ll share our first impressions of how these changes impact real development. We’ll start with the practical migration reality—what breaks, what ports cleanly […]

Scaling physical AI breaks at production: prototypes work, then teams rewrite everything for incompatible SDKs, models and control stacks. The core issue is a clash between high-throughput AI and deterministic real‑time control, forcing tradeoffs or fragile handoffs, and turning 90% […]

As computer vision workloads grow in scale and complexity, developers need high-performance, cost-efficient infrastructure to keep pace. In this session, OpenCV and AWS present Cloud Optimized OpenCV (COOL), an exclusive hardware-aware distribution of OpenCV built specifically for Arm-based AWS Graviton […]

Edge AI system developers often assume that AI workloads require a GPU or NPU. But when cost, latency, complex I/O or tight power budgets dominate, FPGAs offer compelling advantages. In this talk we’ll explore how FPGAs serve not just as […]

Your computer vision prototype works beautifully: USB camera on a Jetson dev kit, software humming, investors impressed. Production isn’t that convenient. It brings MIPI‑CSI buses, custom kernel drivers, device‑tree overlays—and complexity most teams meet too late. This talk walks the […]

Deployment of neural networks at the edge is often constrained by the rigidity and integration cost of domain-specific accelerators. In this talk, we address the “efficiency wall”: when an accelerator optimized for one architecture (e.g., CNNs) runs another (e.g., transformers), […]

Always-on perception is becoming a defining capability of next-generation edge devices, from AR glasses and hearables to battery-operated sensors. Yet continuous audio/video and motion understanding runs into two hard limits: energy per inference and memory bandwidth. We’ll present FotoNation’s heterogeneous, […]