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Automating Port Access, Accelerating Global Trade

The port implemented a comprehensive automation and visualization initiative to enhance operational efficiency, safety, and situational awareness across all logistics processes. This end-to-end solution automated gate entry/exit, optimized container handling, and enabled real-time tracking of assets and equipment through an integrated monitoring system.

A central component of the solution is the Digital Twin – a virtual representation of the entire port or terminal, rendered in interactive 2D and 3D views. This digital twin provides real-time visualization of all ongoing operations, including truck movements, equipment status, and job progress. It enables operational teams to monitor, plan, and respond more effectively to dynamic port conditions, ensuring better coordination and faster decision-making.

Challenges

Gate automation in ports presents challenges such as integrating with old systems, ensuring accurate vehicle identification, and managing peak-time congestion. It also faces resistance to change, high setup costs, and cybersecurity concerns. Chronic bottlenecks caused 4+ hour truck queues during peak times due to paper-based checks. Legacy systems couldn't integrate new technologies, creating security gaps and 30% excess fuel waste. Staff resistance and complex maritime regulations further complicated automation efforts, Resistance to digital transformation and concerns over cybersecurity.

Solution

Deployed a multimodal AI system combining ANPR, RFID tags, and HD cameras for instant vehicle/container validation. IoT edge devices synchronized with terminal systems for automated job identification and verification, enabling real-time decision making. Automated barriers and damage detection algorithms achieved 95% faster processing while eliminating human error.

Technologies Utilized

IoT Sensors
OCR
Barrier Automation
Business Intelligence
2D/ 3 D Visualization

Outstanding Results

90%
Reduction in Gate congestion at ports
95%
Reduction in processing time per truck
97%
Reduction in ambiguity and complexity in planning of yard