Item Classification
Overview
At induction stations or conveyor lines in express sortation centers, overhead 3D cameras identify parcel categories and parcel states.
They serve as the data beacon for parcels and provide a solid data foundation for intelligent logistics scheduling and services.
Key Challenges
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Diverse parcel materials, including soft bags, reflective wrinkles on cartons, reflective tape, complex patterns, waybills, and black packaging, interfere with recognition -
Complex parcel states require simultaneous judgment of category and state -
High-speed conveyor lines up to 2.5 m/s require capture and processing within 400 ms
Key Advantages
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Dual category and state judgment, with overall accuracy ≥99.9% and capture-to-result latency ≤400 ms
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Highly optimized deep learning algorithms enable fast training from small sample sets with stable, repeatable results
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Multiple 3D camera series with over 30 models, offering flexible choices in frame rate, accuracy, resolution, and field of view
