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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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