FRAMOS Develops Machine Learning Technologies for Shipping Robots Unmanned Systems Technology

FRAMOS, a specialist in industrial image processing, has announced that it is developing state-of-the-art methods, such as 3D cameras, depth modules, and intelligent algorithms, for the IRiS artificial intelligence project for the reliable classification of packing scenarios and the analysis of container contents by intelligent robots. The IRiS project (Interactive Robotic System for Unloading of Sea Containers), being undertaken by FRAMOS, the Bremen Institute for Production und Logistics, and partners BLG Handelslogistik and Schulz Systemtechnik, is conducting research on the automated unloading of standard 40-foot containers. In the future, intelligent robots will carry out this difficult and predominantly manual task automatically. Germany's Federal Ministry of Transport and Digital Infrastructure (BMVI) is funding the three-year project with 2.2 million euros; and, TÜV Rheinland is on board as sponsor of the project. The majority of all sea containers shipped worldwide are unloaded and discharged in the port itself. These containers, with a capacity of 65 cubic meters (2295 cft) and a payload of 26 metric tons, can hold up to 1,800 parcels weighing up to 35 kg each.