3D体积检测

针对物流行业，包裹分拣中心。各地汇聚的包裹在物流转运中心进行扫码分拣后，相同目的地的包裹会汇聚到同一个装车垛口。针对装车垛口，经过传送带的包裹逐个进行体积测量.
精度对应场景或者限制条件
1）场景限定：只支持快递分拣中心，传送带上运动包裹的统计计数。
2）图片分辨率：1200*800。
设备/镜头：需使用指定品牌的3d结构光双目相机。
3）视野大小：1000*800*600（长、宽、高）单位：mm。
4）识别的种类：纸箱、邮政袋、软包装包裹、麻袋 5）包裹最小尺寸： 50*40pixels

This dataset is tailored for the logistics industry, targeting parcel sorting centers. Parcels collected from various regions undergo barcode scanning and sorting at the logistics transfer center, then parcels bound for the same destination are consolidated to the same loading dock. For each loading dock, the volume of each parcel passing through the conveyor belt is measured one by one.

Corresponding scene and constraints for measurement accuracy:
1. Scene limitation: Only supports statistical counting of moving parcels on conveyor belts within express sorting centers.
2. Image resolution: 1200*800.
Equipment/lens requirement: A specified-brand 3D structured light binocular camera must be used.
3. Field of view size: 1000*800*600 (length, width, height), unit: mm.
4. Recognizable parcel types: Cartons, postal bags, soft-packaged parcels, and gunny sacks.
5. Minimum parcel size: 50*40 pixels.

搜集汇总

背景与挑战

背景概述

3D体积检测数据集专为物流行业设计，用于快递分拣中心传送带上运动包裹的体积测量和统计计数。数据集要求使用特定品牌的3D结构光双目相机，支持识别纸箱、邮政袋等多种包裹类型，并有明确的视野大小和最小尺寸限制。