Page 779 - AI for Good Innovate for Impact
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AI for Good Innovate for Impact



               Data Privacy:

               Tanbeeh is fully deployed on-prem in a secure network, no data is shared on the cloud, data
               privacy is guaranteed, and fully aligned with DP World security policies.                           Transport  4.10: Intelligent

               Tanbeeh integrates with other systems within the DPW vicinity using secured APIs.

               By replacing manual oversight with automated detection, the system improves safety protocols,
               boosts operational efficiency, and enhances crisis management capabilities. This case is part
               of a larger product development initiative that continuously evolves with additional features
               and expansion plans.


               Partners: Primary Partners:

               •    DP World HSE Department: Implements and monitors safety and environmental
                    protocols using Tanbeeh’s AI capabilities.
               •    DP World Traffic & Security Department: Utilizes the platform for facial recognition at
                    entry points and advanced traffic management.
               •    DP World Operations and Crisis Management Teams: Enhance overall operational
                    efficiency and respond swiftly during emergencies.
               •    JAFZA (Jebel Ali Free Zone): Collaborates to ensure seamless logistics and service
                    delivery within the free zone.


               Additional Potential Partners:

               •    Government entities (e.g., transport authorities, civil defense)
               •    Security service providers
               •    Smart city management organizations


               Collaboration:

               We had a collaboration with Khalifa University to improve the accuracy of Smoke & Fire
               models, and we showed a case to their students ways of fine tuning the model to fit specific
               environments.

               We also trained several students from various universities on image labeling, which is currently
               used to build the data sets in Tanbeeh.





























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