Page 783 - AI for Good Innovate for Impact
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AI for Good Innovate for Impact



               (continued)

                Work-stream      High-level Deliverables                     Status / Time-range*
                Plat form     & •  Revamped Web UI/UX (modernized dash- Prototype Q3  FY  2025
                User-Experience  boards, low-latency image viewer) • Mobile App  -> UAT Q3  FY  2025 ->            Transport  4.10: Intelligent
                Upgrades         with extended capabilities (alert triage, live video  production by year-end.
                                 snapshots, offline mode).
                                 •  Predictive  Analytics & Automated Incident
                                 Reporting

                Infrastructure   • On-prem GPU cluster refresh (compute + stor- Hardware procurement
                Scale-Up         age) •Docker / micro-service hardening   • CI/CD  front-loaded to Q1 to
                                 & monitoring extensions for multi-tenant deploy- unblock model onboard-
                                 ments                                       ing.
                Documentation    • Ops runbook, model cards, API/SDK bundles   Iterative drafts aligned to
                & Enablement     • Customer-facing sales collateral and demo envi- feature readiness.
                                 ronment



               3      Use Case Requirements

               •    REQ-01: It is critical to provide real-time video processing capabilities with sub-second
                    inference speeds to ensure timely detection and response in dynamic industrial
                    environments.
               •    REQ-02: It is mandatory to seamlessly integrate with existing CCTV and sensor systems
                    across large-scale industrial facilities, ensuring smooth deployment and leveraging
                    existing infrastructure.
               •    REQ-03: It is critical to ensure high-accuracy detection of events such as fire, smoke, PPE
                    non-compliance, and facial recognition, using custom-trained AI models tailored to the
                    specific industrial context.
               •    REQ-04: It is mandatory to enable system scalability that supports hundreds to thousands
                    of camera feeds simultaneously, ensuring performance remains robust as deployment
                    scales.
               •    REQ-05: It is critical to establish robust data storage, security, and privacy protocols for all
                    operational safety data, protecting sensitive information and ensuring compliance with
                    safety and regulatory standards.
               •    REQ-06: It is mandatory to maintain continuous learning and regular model updates
                    through automated feedback loops, allowing the system to adapt to new scenarios and
                    improve over time.
               •    REQ-07: It is critical to deliver a user-friendly dashboard for real-time monitoring, event
                    reporting, and alert management, enabling operators to respond quickly and effectively
                    to incidents.























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