Robotic Auto Induction
Overview
Using 3D cameras, robots are guided to pick parcels statically or dynamically and place them onto induction belts for smooth entry into sorters. Automatic induction is a key, not yet fully adopted scenario in sortation automation.
Application Pain Points
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Recruiting manual labor is difficult and labor costs keep rising; super-large sortation centers face especially high hiring pressure -
Seasonal fluctuation makes labor-intensive operations hard to manage -
Working hours are limited by holidays, night shifts, and fatigue, making sustained high-throughput sortation difficult
Advantage Description
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Stable efficiency unaffected by workforce fluctuation: 1,680 pieces/hour with a 2-second cycle per item
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Highly optimized deep learning algorithms recognize many package types, surfaces, labels, and oversized items
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Pick success rate >99%, double-pick rate <1%
