Explore a conference talk from the tinyML Summit 2022 that delves into the application of TinyML for predictive maintenance in high-tech manufacturing. Learn how SensiML's Analytic Toolkit and Adapdix EdgeOps autonomous systems platform combine to predict equipment failures at the machine and sensor level of the industrial edge. Discover the benefits of this approach, including reduced unplanned downtime, increased throughput, lower supply chain costs, and improved remote worker productivity. Gain insights into the architecture and TinyML integration, data curation using SensiML Data Capture Lab, efficient AutoML for edge sensing with SensiML Analytics Studio, and preventative maintenance strategies focused on equipment motion.
Suitability of TinyML for Predictive Maintenance in High-Tech Manufacturing
Overview
Syllabus
Intro
Introduction to SensiML
High-Tech Manufacturing Predictive Maintenance
Where Does TinyML Fits into the Solution?
Architecture & TinyML Integration
SensiML Data Capture Lab: Data Curation Made Simple
SensiML Analytics Studio: Efficient AutoML for Edge Sensing
Preventative Maintenance Around Equipment Motion
Taught by
tinyML
