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AI for Good Innovate for Impact
4�10� Category 10: Intelligent Transport
Use Case 1: Tanbeeh: Revolutionizing Safety and Efficiency with Transport 4.10: Intelligent
AI
Country: United Arab Emirates
Organization: DP World Country
Contact Person(s): Primary Contact: Sabeen Muhammad – Sabeen.Muhammad@ dpworld
.com, +971 4 8898330, +971-55-2794335
Secondary Contact: Marwa Iqbal Mir Khoory – Marwa.Khoory@ dpworld .com, +971-4-8896789
1� Use Case Summary Table
Item Details
Category Industrial Safety
Intelligent Transport
AI-Driven Security & Monitoring
Problem Large-scale industrial facilities (e.g., ports and logistics hubs) rely on tradi-
Addressed tional, manual safety monitoring approaches that are slow and error-prone.
This results in delayed fire detection, inefficient PPE compliance checks,
bottlenecks in access control, and suboptimal traffic management, all of
which increase risks and operational costs.
Key Aspects of • AI-Powered Computer Vision: Uses real-time enterprise-grade video
Solution processing to detect smoke, fire, and anomalies in large open space
environments.
• Automated PPE Compliance: Vision-based monitoring for ensuring
100% compliance with safety gear requirements.
• Facial Recognition for Access Control: Streamlines external truck entry
by quickly registering/authenticating individuals, reducing gate delays.
• Traffic Analysis: Provides real-time analytics to predict congestion, opti-
mize routes, and lower carbon emissions in a bounded freezone (57 sq
km) that is internally managed by DP World.
• Integration: Seamlessly works with existing CCTV and IT infra-
structure for rapid deployment.
Technology Artificial Intelligence, Computer Vision, Neural Networks, YOLOv8,
Keywords Deep Learning, Real-Time Monitoring, Facial Recognition, Traffic
Analytics, PPE Compliance
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