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Large auto parts manufacturer

AI + 3D Vision-Guided Depalletizing & Unloading of Semitransparent Plastic Trays

Customer Demand

A major auto-parts manufacturer needed an automated system to depalletize and unload semitransparent, grid-style plastic trays. The trays are soft, easily deformed, and feature hollow, finely-meshed bottoms. They are nested tightly in multi-layer stacks with minimal clearance from the tote walls, making reliable single-layer picks difficult. Robots risk grabbing multiple trays, colliding with tote edges, or tipping trays during unloading—causing downtime, damaged parts, and lower throughput. The customer required an AI-powered 3D-vision solution to improve pick reliability, protect parts, and increase line autonomy and efficiency.

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

AI + 3D Vision-Guided Depalletizing & Unloading of Semitransparent Plastic Trays Project Site

Workflow:

Mech-Mind's "Eye + Brain" solution (including high-precision 3D cameras and AI software suites) enables the robot to accurately detect individual grid-style plastic trays in nested, multi-layer stacks, compute safe collision-free pick paths, and perform stable depalletizing and unloading. The system integrates with conveyors and robots to maintain steady material flow and meet cycle requirements while minimizing idle time.

Advantages:

  1. The Mech-Eye PRO M-GL high-precision 3D camera captures high-quality 3D point clouds of semitransparent, thin-walled, grid-style plastic trays.

  2. Accurately recognizes and localizes each individual tray in tightly nested, multi-layer stacks.

  3. Automatically selects optimal grasp points and the most efficient depalletizing sequence to raise picking success rates.

  4. Leverages built-in path-planning and collision-detection algorithms to avoid contact with tote edges and nearby trays, reducing downtime and risk.

  5. Guides the robots to perform stable, repeatable pick-and-place motions with consistent cycle times.

  6. Supports no-code configuration and flexible compatibility with multiple tray types, enabling fast deployment and quick production changeovers.

Results:

  • Improved first-pass pick accuracy and reduced multi-grab incidents.

  • Minimized collisions, tray tipping, and product damage.

  • Stabilized cycle times and increased overall line throughput.

  • Reduced downtime through smoother robot-conveyor coordination.

  • Enabled faster deployment, changeovers, and higher ROI.

Click here to watch the real-world case video.