Polarith GmbH is a company in Saxony-Anhalt offering services and products in the hardware and software sector. This includes the control system of overhead cranes, machines used in the commercial sector to transport loads. The load hanging from the crane is particularly dangerous and can cause accidents when it is swivelled or lifted. The Cranium control system developed by Polarith dampens the dangerous vibrations of the load, among other things.
In order to further improve the technical procedures in Cranium for preventing a load collision, Polarith in cooperation with the Mittelstand 4.0 Competence Centre Magdeburg aimed the solution of a contactless detection of people as part of a prediction of collision with loads. A literature search has revealed an artificial convolutional neural network with colour and distance data in its input layer as a promising detection method. The LiDAR camera with a maximum depth detection of nine metres attached to the trolley of an overhead crane turned out to be suitable for the application, providing data of the surrounding area.
A concept paper according to Gebru et al. documented the motivation, composition, collection process and recommended use of the data. The data collection took place at the Galileo test site of Otto-von-Guericke University Magdeburg. An artificial convolutional neural network has been trained and tested using the static image data set. In a »mini-implementation project« consisting of five one-hour digitalisation consultations free of charge, Polarith worked with the Mittelstand 4.0 Competence Centre to reformulate the project goal and requirements into a specific machine learning problem, which resulted in a concept for sensor data collection.