Logistics Vision / JIVISION Case

Logistics Parcel Volume Measurement and Sorting RecognitionApplication Case Study

A logistics vision case for warehousing, sorting and conveyor scenarios, covering parcel contour recognition, volume estimation, barcode reading and sorting interaction.

Volume MeasurementBarcode ReadingSorting Interaction
ScenarioLogistics Vision
MethodVolume Measurement
OutputBarcode Reading
ReviewAcceptance-based
JIVISIONLogistics Parcel Volume Measurement and Sorting RecognitionLogistics Vision / JIVISION
Project Challenge

Scenario background and key pain points

  • Parcels vary in shape, material and orientation, making manual measurement inefficient and unstable.
  • Conveyor environments include occlusion, touching parcels and abnormal items that require real-time handling.
  • Vision results need integration with sorting equipment, WMS or upper platforms.
Technical Approach

JIVISION technical approach

  • Use 2D/3D vision for parcel localization, contour extraction and volume estimation.
  • Combine barcode recognition, abnormal-item detection, conveyor triggering and multi-station data fusion.
  • Output size, position, recognition status and abnormal events to sorting systems through interfaces.
Operating data and final acceptance indicators are confirmed through customer samples, onsite tests and agreed acceptance criteria.
Deliverables

Deliverable scope for project communication

ItemDescription
Parcel recognition algorithmsIncluded in the project delivery package and adjusted according to the final implementation scope.
Volume measurement flowIncluded in the project delivery package and adjusted according to the final implementation scope.
Barcode-reading moduleIncluded in the project delivery package and adjusted according to the final implementation scope.
Sorting interface adaptationIncluded in the project delivery package and adjusted according to the final implementation scope.
Implementation Path

From sample validation to onsite delivery

The implementation path is adjusted according to sample quality, onsite constraints and acceptance requirements.

01Sample Review
02Imaging Plan
03PoC Test
04System Integration
05Onsite Acceptance
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