Democratizing ML Pipelines using StreamPipes  - Philipp Zehnder, Marco Heyden
Channel: The ASF
Date: 2021-10-12

Thank you to all of of our ApacheCon@Home 2021 sponsors, including:

STRATEGIC
---------------
Google

PLATINUM
--------------
Apple
Huawei
Instaclustr
Tencent Cloud

GOLD
-----------
Aiven OY
AWS
Baidu
Cerner
Didi Chuxing
Dremio
Fiter
Gradle
Red Hat
Replicated Democratizing ML Pipelines using StreamPipes  - Philipp Zehnder, Marco Heyden

A presentation from ApacheCon@Home 2021
https://apachecon.com/acah2021

Apache StreamPipes (incubating) is an industrial IoT toolbox which enables non-technical users to flexibly connect, analyze and exploit continuous data streams. Under the hood, StreamPipes integrates an event-driven microservice architecture with a rich graphical user interface that lets users create stream processing pipelines. In this talk, we focus on analyzing image data from industrial cameras with Machine Learning (ML) and Apache StreamPipes. Based on an application example for Visual Quality Inspection, techniques for integrating ML models into StreamPipes are presented and a demo shows how product defects can be easily recognized in real time using a no-code approach.
The talk gives an overview of Apache StreamPipes, highlights the positioning of StreamPipes within the ASF IoT ecosystem and demonstrates how machine learning models can be easily integrated and evaluated within a StreamPipes application.