Industrial IoT

Kepware is one of the leaders in industrial connectivity, by providing drivers for almost any type of machine-level protocol. The main use case is to collect data from machines and deliver it to centralized platforms for analysis - but what if you want to take action on your data already on the factory floor? This is where Crosser comes in.

Using video cameras as sensors in industrial IoT applications is becoming more and more popular. The reason is of course that it opens up for many interesting applications.

Extracting valuable insights out of data collected from machine sensors can be hard, often requiring analyzing data from many sensors in parallel.
Due to the complexity, machine learning (ML) methods are becoming more and more popular to analyze these datasets.

If you are in manufacturing, process industry, oil & gas or other asset-rich industries with many machines & equipment there is a good chance you are thinking about how to leverage this data in a better way. Either to gain insights to improve your processes or for optimizing your maintenance for an improved uptime.

Based on customer requests we have implemented support for running Crosser Edge Streaming Analytics on Azure IoT Edge. Now you can innovate much faster and without the cost, risk and developer dependencies that come with writing code.

Your data scientists are among your most valuable assets. But if you are not making full use of edge analytics then you could be wasting their time.  

To be locked in or not to be locked in. That is the question facing many IoT project owners when it comes to the technology stack. But there is a smart way of solving the problem.

Contrary to what you might think, you don’t need cloud providers or platforms to run your enterprise IoT project.

Telemetry already offers high value to field-based assets. And with edge computing, you can significantly enhance telemetry capabilities without increasing cost. If you have connected assets in...

Adopting Industry 4.0 practices could be critical for your business. And edge computing could be critical for your Industry 4.0 adoption plans. Here is why.