A different flavour of IIoT: Recipes for the plant thermomix 03/03/21 by Robert Meißner and Marcus Hanhart A different flavour of IIoT. Dynamic, declarative systems with short retooling times prove to be great for an automated growth of plants. Read more Leave your thoughts
IIoT product development: lessons from past projects 11/11/20 by Robert Meißner and Jannik Hüls In this overview article on industrial IoT product development we will guide you along the essential questions and directions to... Read more Leave your thoughts
Lifting an electric vehicle charger into the cloud 10/19/20 by Manfred Dreese With the increasing popularity of battery electric vehicles, privately-owned electric vehicle charger infrastructure has become more common. Read more Leave your thoughts
Selecting the right hardware for embedded development of open-source protocol adapters 04/16/20 by Christofer Dutz Read this blog post on embedded development of PLCs and how to choose the fitting IoT hardware for the job. Read more Leave your thoughts
Physical regression testing for the Thermomix 04/01/20 by Kai Herings Automating physical regression testing of products with computer vision and robotics Testing a physical product can be a highly manual... Read more Leave your thoughts
Using Apache PLC4X and ElasticSearch for IIoT monitoring and anomaly detection 10/08/19 by Stefan Herrmann Industrial IoT (IIoT) as a buzzword gained traction within recent years. However, implementing common use cases like real-time monitoring of... Read more Leave your thoughts
IoT from sensor to browser: Retrofitting machines 10/01/19 by Emir Ahmetovic IoT is broadening its place in the industry. We can see many industry level devices available on the market. New... Read more Leave your thoughts
Apache PLC4X, the missing link for industrial innovation 04/23/19 by Christofer Dutz After 16 months of incubation, the Apache PLC4X project is now an official top-level project of the Apache Software Foundation. Read more Leave your thoughts
Convolutional neural networks for damage detection 03/11/19 by Dimitar Dimitrov and Giulio Cottone Hands-on convolutional neural networks with Keras and TensorFlow for damage detection in Predictive Maintenance. Read more Leave your thoughts
