Easy as a Pi - EdgeX on Raspberry Pi for Automotive IoT

Discover how to leverage EdgeX, an open-source hardware-agnostic framework, for IoT and Edge Computing in automotive applications using a Raspberry Pi. Learn to create a comprehensive vertical solution with inexpensive GPS and OBD components, serving data to multiple cloud endpoints for insurance companies, smart cities, and personal driving records. Explore the advantages of edge computing architecture in IoT, including data manipulation, reduction, anonymization, and aggregation. Gain insights into EdgeX's ecosystem of micro-services, the AppDevice SDK, GPS integration, and export functions. Follow along with a practical demonstration and understand the requirements for implementing this solution on a Raspberry Pi. Conclude with a glimpse into future work and upcoming features in the realm of Automotive IoT Applications.

Introduction
Edge Computing Glossary
Raspberry Pi for Automotive IoT
EdgeX Hardware OS
EdgeX App
Device SDK
GPS
Functions SDK
Export function
Raspberry Pi
Requirements
Demo
Cloud
Future work
Future features