Automotive Assembly Using Vision Guided Robotics

Automotive Assembly Using Vision Guided Robotics

Detecting and Testing Electric Car Doors

In automotive production, various components must be located and tested along the assembly line before finalizing the cars. Electric car doors, for instance, require pressing each door button to ensure full functionality. However, in a conventional production line where different car models are manufactured interchangeably, the varying sizes and designs of doors can cause positional shifts, leading to incomplete quality checks as the robot may miss buttons.

Challenge

Overcoming Rigidity in Traditional Manufacturing

In traditional automotive manufacturing, the production process relies on fixed positions for objects and tools. Regular robots used in this setup lack the ability to adapt their movements according to the location of production parts or determine if an object is correctly placed. Consequently, addressing this limitation often involves employing complex positioning systems or expensive sensors, leading to longer changeover times. As manufacturing lines are now expected to produce a greater variety of products at lower volumes, these challenges pose significant hurdles in the industry.

Solution

Precision and Adaptation: SolMotion Enhances Complex Assembly Processes

In complex industries like electronics and automotive assembly, the role of modern automation solutions is paramount in achieving the required flexibility. SoMotion’s cutting-edge AI technology plays a vital role by effectively detecting randomly placed parts, regardless of their position, orientation, or appearance, eliminating the need for additional hardware fixtures. This remarkable capability is achieved through the comparison of high-quality 3D point clouds with trained golden samples. As a result, the system can precisely identify the location of the car door and its buttons, enabling the robot to adapt its motion path accordingly for efficient execution of quality checks.

SolMotion Functions

1. AI Deep Learning Tool

 

Neural networks train AI to recognize object features/defects on item surfaces. Unlike rule-based AOI, SolMotion’s AI inspection has broader, user-friendly applications without deep tech expertise. Paired with SolMotion’s vision-guided robot tech, a robot-mounted camera mimics human eyes, meticulously inspecting object surfaces.

Applications

  • Painting defect and welding inspection
  • Mold repair
  • Metal defect inspection
  • Food sorting

2. 3D Vision Positioning System

 

Objects can be placed randomly without precise fixtures, thanks to SolMotion’s AI-driven visual recognition of distinct features that accurately pinpoints their spatial positioning for real-time robotic processing. Additionally, the system’s path-loading function, rooted in object feature recognition, enables flexible production.

Applications

  • Various machine tending tasks

3. Robotic Path Planning Auto-Generation

 

No manual robot path setup is needed. Solomon’s AI learns environment edges for automatic path planning. Adjust processing angle as needed: “vertical” or a specific angle. Generate surface-filling paths, and optimize corner paths. Works with 20+ robot/PLC brands. Ideal for Hi-Mix/Low-Volume, variable path needs.

Applications

  • Cutting
  • Gluing
  • Edge trimming
  • Painting

4. 3D Matching Defect Inspection

 

SolMotion instantly compares real-time 3D point cloud data with the standard CAD. It creates a report based on the set difference threshold, showing height, width, and volume variations. This data can auto-generate robot paths. Ideal for object matching and deformation compensation tasks.

Applications

  • Inspection
  • Trimming
  • Repairing
  • Milling
  • 3D Printing
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