Krammer Technology is a startup that provides consulting services to industrial businesses. It was working on an industrial IoT solution that transforms molds into intelligent devices.
Our customer wanted to build an intelligent Industrial IoT solution that would allow them to:
The company addressed Softeq to test the feasibility of their idea, choose the technology stack, and outline the scope of work.
We began the project with a Business Analysis phase.
Following the Business Analysis phase, we have made the following assumptions:
As a first step, the Softeq hardware team will create a custom ISD sensor device. Then we'll conduct field tests to make sure the data is produced in a format suitable for further Machine Learning-assisted analysis. The results will help developers refine the requirements for the sensing devices. Next, we will integrate ISDs with the AWS cloud services.
A market-ready solution would:
For the first phase, the system had to consist of three parts:
The solution we proposed goes beyond a traditional monitoring system. It helps companies improve their manufacturing process through:
Currently, there are no alternatives to the Krammer Technology system on the market. The competing solutions with similar functionality are either wired or much more expensive.