InfraShieldSmart City Platform
Technical Pipeline Spec

How InfraShield AI Works

From field image capture to autonomous computer vision diagnostics, parallel multi-agent priority scheduling, and verifiable engineering reports.

End-to-End Operational Lifecycle

The 4-Stage Autonomous Pipeline

01

Photo & Location Intake

Field inspectors upload photographs. The system auto-captures coordinates using geocoded GPS and triggers an AI anti-spam gateway to block non-civic uploads.

  • • Client-side compression (max 800px)
  • • Exact GPS geocoding via OpenStreetMap
  • • Client-side unique file hash matching
02

Multi-Agent AI Diagnostics

An uploaded defect is parsed by three specialized agents in parallel: Vision Assessor (root cause), Logistics Planner (repair budget), and Comms Lead (public alerts).

  • • 0–100 Hazard Urgency Scoring formula
  • • Defect classification (shear crack, spalling)
  • • Automated budget estimation in INR (₹)
03

Resource Prioritisation

The system automatically prioritises work orders based on the aging formula: Priority = Severity × (1 + Days × 0.1). Calculates crews and materials.

  • • Automated work order ticket allocation
  • • Machinery allocation (compactor, jackhammer)
  • • Complete material cost manifests
04

Verifiable PDF Reports

Chief Engineers review the prioritization queue and generate official, signed engineering PDF reports complete with metadata, GPS proof, and signature spaces.

  • • jsPDF AutoTable document pipeline
  • • Chronological location audit history updates
  • • 1-Click municipal resolution & archival
AI Multi-Agent Architecture

The 3-Agent Collaborative Engine

Every uploaded image is scanned simultaneously by three distinct, specialized Gemini agent nodes.

1. Vision Assessor

Extracts defect categories (potholes, spalling, drainage blocks), assesses geological cause factors, and outputs a 0–100 risk score.

2. Logistics Planner

Routes structural work orders to PWD divisions, recommends immediate temporary barriers, and lists materials in ₹.

3. Comms Lead

Compiles 280-character public safety warning alerts with coordinates and drafts internal engineering dispatch emails.

Capital-Saved Metrics

Proactive vs Reactive Maintenance ROI

By detecting micro-cracks and drainage blockages early, repairs cost ₹15,000–₹45,000, saving municipalities from ₹1.5L–₹5.0L reactive reconstruction charges.

Average Capital Saved₹1.25LPer Proactive AI Fix

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