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Automated Multi-Angle 3D Cargo Measurement and Data Transmission System
  1. case
  2. Automated Multi-Angle 3D Cargo Measurement and Data Transmission System

Automated Multi-Angle 3D Cargo Measurement and Data Transmission System

cogniteq.com
Logistics
Supply Chain
Transport

Challenges in Manual Cargo Measurement and Data Management

The client faces operational inefficiencies due to manual cargo dimensioning and weighing processes, leading to increased time, errors, and higher costs. The current system is unable to support rapid, accurate measurements, which hampers workflows and real-time data integration with warehouse management systems.

About the Client

A mid to large-sized logistics provider seeking to enhance cargo dimensioning and weight measurement efficiency.

Goals for Implementing an Automated Cargo Measurement Solution

  • Achieve fully automated cargo dimension and weight measurement with high accuracy
  • Reduce measurement time from traditional methods to approximately 23 seconds per cargo unit
  • Attain measurement accuracy within 0.55 centimeters
  • Reduce measurement-related costs by a factor of five
  • Integrate measurement data seamlessly into existing warehouse management and ERP systems
  • Eliminate manual handling operations in cargo measurement processes

Core Functional Capabilities for Automated Cargo Scanning System

  • A server platform built on Linux to manage multiple high-resolution cameras and facilitate data transfer to centralized databases
  • A control interface operable on industrial handheld computers to manage system operation and measurement modes
  • Calibration and configuration tools for multi-camera (e.g., stereo or depth cameras) setup to ensure measurement accuracy
  • Algorithms enabling the combination of multiple point clouds into a unified sensory image for precise dimension calculation
  • Automated data grouping, transmission, and integration with warehouse management systems (WMS)
  • Real-time processing pipeline to achieve measurement within approximately 23 seconds
  • Adjustable measurement algorithm parameters (minimum 15 configurable settings) for optimal accuracy based on cargo types

Technical Architecture and Technology Stack Preferences

C++ with Qt framework for user interface and system control
Boost library for performance enhancements
VTK (Visualization Toolkit) for 3D data processing
Point Cloud processing libraries for 3D image analysis
HTML5 for web-based data visualization and reporting

External Systems and Data Integration Requirements

  • Warehouse Management System (WMS) for real-time data synchronization
  • ERP system for automatic generation of shipping documents
  • Weighing device interface (e.g., compatible with METTLER TOLEDO devices) for synchronized cargo weight measurement

Key System Performance and Security Considerations

  • High system reliability and uptime to support continuous operations
  • Measurement accuracy within 0.55 cm
  • Processing latency under 25 seconds per cargo item
  • Secure data transmission protocols to protect sensitive logistics data
  • Scalable hardware architecture to support multiple camera units and increasing cargo throughput

Projected Business Benefits from the Automated Measurement System

Implementing this automated cargo measurement system is expected to yield a fivefold reduction in measurement-related costs, drastically improve throughput by decreasing measurement times to approximately 23 seconds, and enhance overall accuracy to 0.55 centimeters. These improvements will streamline logistics operations, minimize manual handling errors, and support real-time data integration with warehouse management systems, leading to increased operational efficiency and growth potential.

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