Auto parts manufacturing faces problems including parts' reflective surfaces, different sizes, materials, and colors. Overlapping parts, deformed bins, and bright ambient light also bring challenges to vision recognition and require high accuracy.
The 3D vision guides the robot to pick the CV joints from the bin and place them on the conveyor.
3D vision precisely locates the charging port and guides the robot to charge the EV automatically with the guidance of the intelligent motion planning algorithm.
The 3D vision system obtains the point cloud information of the glass and automatically generates the gluing trajectory according to the process requirements. The vision system sends the gluing trajectory to the robot to glue precisely.
The 3D vision guides robots to accurately grab brake discs randomly piled in the deep bin, and place them at their correct orientations.
3D vision system guides the robots to recognize and accurately grab inner races randomly lying in the deep bin, then place these inner races at the designated area. The vision-guided robots can concurrently feed two machine tools.
Vision-guided system recognizes and locates the brake disc, instructing robots to install the inner and outer wheels into the brake disc and tighten it.
Robots equipped with Mech-Mind 3D vision system can recognize various randomly-placed parts (hatch doors) and glue them along the contour.