Discovery Center

ZeMA gGmbh devised a semi-automated approach to optimize aircraft section assembly. This was achieved through an innovative riveting process for solid rivets, using Human- Robot-Collaboration in combination with an intuitive Human-Machine-Interaction operational paradigm.

Today’s industrial robots require a pre-programmed motion plan. This is because without machine vision, parts must be exactly positioned in order for the robot to locate them in space. In many assembly applications, however, part tolerance stackups lead to levels of variation that make effective automated assembly with robots difficult to achieve. These types of applications are better solved by adding smart 3D machine vision to the industrial robot.

In order to meet the demands of emerging quality control applications, the industry is undergoing a fundamental transition from 2D to 3D technology.

In this consumer electronics (CE) application, a laser sensor scans the cell phone glass edge and generates high-resolution 3D data. The data is then used to extract edge and gap features, and to measure flushness and offset of the glass and frame.

In this feature application, we focus on four key stages of battery weld inspection using 3D smart sensors: (1) Pre-welding gap & flush measurement, (2) Weld seam inspection of the battery cells, (3)  Spot welding inspection on the connector module, and (4) Package weld seam quality.