The detailed recording of all sequences significantly improves stock level documentation. What's more, the scrap heap volume can be captured by means of laser scanners on the crane beam and a precise volume model can be created to calculate the exact stock level down to just a few kilograms. This allows orders to be placed more precisely and any ordered materials no longer have to be stored for an indefinite period at considerable cost. Here SMS collaborates with the experienced laser-based application provider LASE Industrielle Lasertechnik. Short storage times also reduce the oxidation of the material, which in turn increases yield and reduces CO2 emissions. The laser scanner also provides a precise calculation of the fill level of the scrap container - down to a few centimeters - and thus ensures optimal filling of the container. Using a laser scanner for material detection is the first important step towards autonomous crane operation.
The material handling process in the scrap yard is also visually documented. Cameras record the scrap unloading process. Each incoming scrap load is also allocated to the wagons and trucks as they arrive, so that the origin of every scrap delivery can be determined and the scrap quality from any given supplier fully validated. This is where SMS goes a step further and uses artificial intelligence to classify the scrap types during the unloading process. Image recognition algorithms simplify a large number of activities that currently need to be performed manually and are very time-consuming. Furthermore, all scrap container charging processes are visually documented, so that the relevant process can be examined and optimized, if necessary, with regard to the target analysis.