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Depalletizing & Palletizing

Overview

Based on 3D vision, robots are guided to automatically depalletize and palletize goods. 3D cameras identify box position, size, and pose in real time, then plan optimal picking paths and placement strategies for multi-SKU mixed scenarios.

Key Challenges

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    Box surfaces may include reflective tape, printed patterns, complex colors, and waybills that interfere with visual recognition
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    Tightly stacked items, multiple SKUs per layer, irregular placement, and varied poses
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    Manual depalletizing and palletizing is labor-intensive, creates occupational health risks, and faces growing recruiting difficulty

Key Advantages

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    Resists reflections, color differences, patterns, and waybill interference, adapting to complex packaging

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    AI-powered recognition algorithms support flexible SKU expansion, enabling rapid adaptation to new package types

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    Stable 24-hour operation, vision processing <1 s per cycle, significantly improving efficiency and reducing labor costs

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