Scaling Intelligent Hardware: From Prototype Sensors to High-Volume Manufacturing

Session details:

Bridging the gap between prototype sensors and high-volume manufacturing is one of the most critical challenges in today’s intelligent hardware ecosystem. This session explores how Agile hardware development, AI-driven design validation, and multi-sensor integration can accelerate time-to-market while ensuring reliability at scale. Drawing from real-world case studies in industrial automation and robotics, the talk highlights risk-weighted strategies for transitioning from low-volume prototyping to sustainable production. Attendees will gain insights into supply chain readiness, digital twin validation, and yield ramp optimization, equipping them with practical tools to transform innovative prototypes into robust, market-ready sensor-based products.