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Large auto parts manufacturer

AI + 3D Vision-Guided Machine Tending of Axle Housings

Customer Demand

A major auto-parts manufacturer required a flexible, high-reliability automation solution for loading and unloading large axle housings across multiple product models. Individual housings are heavy (up to hundreds of kilograms), vary in geometry and features, arrive randomly oriented in large racks, and frequently switch part specifications. Manual handling posed safety and quality risks, while conventional machine vision systems struggled with deep-rack interference, unpredictable part poses, and long commissioning times. The customer needed an AI-driven vision system that could handle large-sized, complex parts with minimal downtime and fast changeovers.

Mech-Mind General-Purpose "Eye + Brain" for Robots

AI + 3D Vision-Guided Machine Tending of Axle Housings Project Site

Workflow:

Mech-Mind's "Eye + Brain" solution (including high-precision 3D cameras and AI software suites) enables the robot to accurately recognize and grasp axle housings, autonomously performing loading and unloading. The high-precision, large-field-of-view 3D camera captures high-quality point-clouds of parts with complex surfaces, and the AI brain performs pose estimation, path planning, collision detection, and real-time position correction to support reliable picks.

Advantages:

1. Captures high-quality 3D point clouds of axle housing with complex surfaces.

2. Fully covers large pallets and easily handles large-sized parts, thanks to a large field of view.

3. Integrated with the AI brain that includes our self-developed path planning and collision detection algorithms.

4. Guides the robot to reliably pick up axle housings with real-time position correction to reduce debugging time.

5. Adapts to a variety of axle housing specifications, boosting production-line efficiency.

Results:

  • Boosted production-line efficiency.

  • Increased stability and reliability in heavy-part handling.

  • Enabled rapid deployment and faster line changeovers.

  • Improved automation flexibility and production capacity.

Click here to watch the real-world case video.