AI-Powered Predictive Maintenance Demo with скачать в хорошем качестве

AI-Powered Predictive Maintenance Demo with

Join Georgie, Head of Partnerships at Witekio, and Greg, one of Witekio's U.S.-based engineers, as they showcase our brand-new Edge AI Anomaly Detection Demo at MD&M West, one of the largest medical technology trade shows in North America! Developed in partnership with ‪@EdgeImpulse‬, this innovative demo features predictive maintenance powered by AI, using real-time data from a blower fan in industrial HVAC applications. By aggregating voltage, current, and RPM data from the fan, the AI model enables smart, cost-effective maintenance scheduling—no more unnecessary technician visits! And it doesn't stop there: we explore how this same approach is highly relevant for medical devices, from patient monitoring to IV drips, where AI can intelligently filter and prioritize critical data so healthcare professionals can focus on what matters. Tech stack highlights: NXP i.MX8 MPU ST MCU for fan data acquisition Flutter UI Edge Impulse SDK framework Full BSP, device drivers, and app software by Witkeio Don't miss this quick walkthrough and demo straight from the show floor! 👉 Learn more: https://witekio.com/embedded-gui/edge... 🔔 Like, subscribe, and follow for more on edge AI, predictive maintenance, and next-gen innovations!