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Automated Container Terminal Entry and Exit Management System
  1. case
  2. Automated Container Terminal Entry and Exit Management System

Automated Container Terminal Entry and Exit Management System

coderio.com
Logistics
Supply Chain

Identified Challenges in Manual Port Entry and Exit Processes

The client currently manages port terminal entry and exit processes manually, involving driver identification, vehicle tracking, and container verification. This manual approach leads to high operational costs, delays, inaccuracies, and security vulnerabilities, impeding throughput and service quality. The need exists for a fully automated, real-time system to streamline port gate operations and improve overall efficiency.

About the Client

A large-scale port operator managing multiple container terminals worldwide, seeking to enhance operational efficiency and security through automation.

Goals for Automating Port Gate Operations

  • Implement an integrated automated system to manage vehicle and container access at port terminals, reducing manual intervention.
  • Enhance operational efficiency by decreasing vehicle entry and exit times, errors, and associated costs.
  • Improve security and accuracy through license plate recognition, RFID tagging, and driver document validation against existing databases.
  • Provide a real-time data monitoring dashboard for ongoing operational oversight, alerts, and reports.
  • Achieve measurable improvements in port throughput, error reduction, and cost savings.

Core Functional Capabilities of the Automation System

  • Integration with physical sensors including cameras and RFID readers to verify vehicle license plates and container tags.
  • OCR-based license plate recognition for vehicle identification.
  • RFID scanning for container and driver identification.
  • Automated cross-referencing with terminal management system to validate entry permissions.
  • Thermal printers to issue access tickets automatically.
  • Barrier control for vehicle access based on verification results.
  • Secure driver document verification by crosschecking driver credentials with database records.
  • A real-time monitoring dashboard with alerts, statistics, and operation logs.

Technology Stack and Architectural Approaches

Java-based backend development
Spring Boot framework
Thymeleaf for frontend interface
JavaScript for interactive components
SQL Server for data management
SOAP web services for system integrations

Necessary External System Integrations

  • Existing terminal management systems for data validation and cross-referencing
  • Camera and sensor systems for vehicle and container recognition
  • Database systems for driver and container record verification
  • Printing systems for issuing tickets

Performance, Security, and Scalability Expectations

  • System must process vehicle and container verification within 5 seconds per vehicle.
  • High accuracy rate for OCR and RFID recognition (target >98%).
  • System must support scaling to multiple port sites with consistent performance.
  • Ensure data security and compliance with relevant security standards.
  • Reliable uptime of 99.9% with failover capabilities.

Projected Business Improvements and Operational Benefits

The automation system is expected to significantly reduce entry and exit processing times, cut operational costs, and minimize errors. Anticipated outcomes include a 20-30% increase in port throughput, substantial security enhancements, and overall operational cost savings, establishing a new benchmark for port efficiency and sustainability.

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