Smart Vision, Smarter Industry

About the Webinar

Most of us can envision the transformative potential of Machine Learning and Edge AI in industrial applications. When it comes to vision-based ML solutions, the opportunities are virtually endless. However, bridging the gap from concept to implementation - especially when retrofitting legacy machinery - can seem insurmountable. Let's see if we can change that.

In this webinar, you'll see firsthand how we built a robust "industrial vision" system that detects product anomalies with Edge AI, syncs relevant data in real-time via email and SMS using Blues' cellular connectivity, and are deployed using a Raspberry Pi 5 and Jetson Orin Nano Super.

Join us on Thursday, February 27th at 11 AM EST / 4 PM GMT as we dive into:

1. Building a vision-based anomaly detection model with Edge Impulse Studio, enabling machine learning model creation with minimal technical expertise.

2. Deploying the ML model to a Raspberry Pi 5, while demonstrating scalable pathways using a Pi Compute Module and a Jetson Orin Nano Super to meet the demands of industrial-scale deployments.

3. Using Blues Notecard to securely sync generated inferences and alerts via cellular connectivity, bypassing traditional IT network constraints.

As an added bonus, we'll show off a new Notecard Cellular option that provides the high-bandwidth throughput needed for vision-based applications - at an even lower cost.

This presentation is ideal for embedded and IoT engineers looking to leverage Machine Learning and wireless connectivity to build smarter, more responsive industrial systems.

Can't make it? Register anyway and we'll send you the recording!