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Development of Automated Multi-Camera Machine Vision System for Cargo Dimensioning and Data Management
  1. case
  2. Development of Automated Multi-Camera Machine Vision System for Cargo Dimensioning and Data Management

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Development of Automated Multi-Camera Machine Vision System for Cargo Dimensioning and Data Management

cogniteq.com
Manufacturing
Logistics
Information technology

Challenges in Manual Cargo Measurement and Data Management

The client required complete elimination of manual handling operations for cargo dimensioning and weight measurement. Existing processes were time-consuming, error-prone, and costly, with a need for real-time integration into warehouse management systems. Challenges included achieving sub-centimeter accuracy in 23 seconds while reducing operational costs through alternative sensor technology.

About the Client

A Singapore-based R&D company specializing in logistics and warehouse automation solutions, leveraging advanced technologies for process optimization in manufacturing and logistics facilities.

Project Goals for Automated Cargo Measurement System

  • Implement fully automated dimensioning and weighing system
  • Achieve 0.55 cm measurement accuracy with 23-second scan times
  • Reduce operational costs by 5x through ZED camera implementation
  • Enable real-time data transmission to warehouse management systems
  • Integrate with existing METTLER TOLEDO weighing devices and ERP systems

Core System Functionalities and Features

  • 3D cargo scanning using four ZED cameras with point cloud generation
  • Real-time point cloud merging and dimension calculation algorithm
  • Automated data transmission to warehouse database (DB Schenker)
  • Camera configuration management interface
  • Fifteen-parameter algorithm tuning for measurement optimization
  • Integration with handheld barcode scanners and weighing devices
  • ERP system connectivity for shipping document generation

Technology Stack Requirements

Qt C++
Boost C++
VTK C++
Point Cloud C++
HTML5
Linux OS
ZED Camera SDK

System Integration Requirements

  • METTLER TOLEDO weighing devices
  • ERP systems
  • DB Schenker warehouse database
  • Intermec wearable industrial computers
  • Handheld barcode scanners

Performance and Operational Requirements

  • Real-time processing (23-second scan cycle)
  • High-accuracy mathematical transformations
  • Industrial-grade reliability in warehouse environments
  • Scalable architecture for multi-camera support
  • Secure data transmission protocols

Expected Business Impact of Automated Dimensioning System

The implementation is projected to reduce cargo measurement costs by 80% while improving accuracy to 0.55 cm. Automated dimensioning will enable optimized space utilization, precise freight cost calculation, and 5x faster data processing. Integration with ERP systems will streamline shipping documentation, while real-time data availability will enhance warehouse operational efficiency and revenue tracking capabilities.

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