Spring descriptiom
Based on the results of the sprint Smart Assembly Station ,we were looking for a solution for screw casese that are very close to each other. As a demonstration piece, the back plate of a washing mashine with in total ten different screws was used.
On the torque driver, a Raspberry Pi with a camera was mounted that automatically takes a picture when the tool is closer to 15 centimetres to the washing machine screw case. An AI that was specifically trained for this project and that is running on an edge device analyzes the picture and recognizes the correct screw case.
The torque tool then receives the right torque and after completion feeds back the exact process parameters that serve as input for a quality management system.
The worker is not limited to a predefined working order, instead he can proceed the assembly in a very natural way and in the order he chooses. Information about all completed assembly steps are visualized in a clear and simple dashboard. In case he sees an incorrect recognition, he can manually alter the results.
Smart Assembly Quality Control automates the way a qualified worker does his job, i.e. recognizing the current joint and selecting the right parameters. Ths way, an unskilled worker can archieve the same work results as a skilled labourer does. The high skilled worker is now free for more productive tasks.