| I&T Solution |
Hybrid Cloud-Edge Bus Monitoring System with Solar Integration
(REF: S-2056) |
| Trial Project |
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| Solution Feature |
- Hybrid Cloud-Edge Architecture: Combines lightweight edge processing for real-time alerts with cloud-based deep analytics.
- NPU Integrated Edge Device: Enables energy-efficient local AI inference for instant occupancy detection and low-latency processing.
- PII Masking & Privacy Compliance: Ensures privacy and compliance via AI-powered redaction of sensitive personal data in footage.
- Non-Intrusive Installation with Solar Integration: Features a solar-powered monitoring system.
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| Trial Application and Expected Outcome |
- Successful POC Design and Hardware Setup (Months 1-2): Finalize scoping, architectural designs using hybrid cloud-edge framework, tech selections for AI image recognition.
- Developed and Integrated AI and Backend (Months 3-5): Train AI models; integrate cloud-edge backend and non-intrusive installation for edge hardware; test E&M EnviroSense CDU for metadata and environmental data processing.
- Validated System Performance in Field (Month 8): Deploy at bus stops, conduct UAT ; test wireless metadata transmission, solar power; confirm privacy compliance with EnviroSense risk assessments.
- Project Completion and Handover Readiness (Month 9): Complete assessments, documentation, deliverables; demonstrate system for identifying crowding case, enabling route adjustments.
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| Info on I&T Solution Provider |
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