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FEATURED PROJECT | AGENTIC SYSTEMS & PROPTECH

T2D2.AI: AI-Powered Building & Asset Inspection Platform

An enterprise cloud inspection platform for automated building facade, damage detection, and structural health analysis.

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T2D2.AI

T2D2.AI

70%

Faster Exception & Audit Cycles

80+

Damage Types Classified

3.5TB+

Forensic Image Dataset

100%

Visual Coverage via Drone & Scans

Challenge

The Operating Problem in Structural & Facade Inspections

Structural inspection teams, architects, and property managers traditionally rely on manual facade surveys, requiring technicians to swing from ropes, stand on high-altitude scaffolding, or conduct ground-level binocular audits. These methods leave asset owners exposed to undetected structural risks, high inspection hazards, regulatory report rejections, and severe operational inefficiencies.

  • High operational risk, worker safety hazards, and slow turnaround times associated with manual facade audits.
  • Massive, unorganized photo sets (drone aerials, mobile cameras, thermal scans) stored without centralized defect tracking.
  • High rates of missed surface defects and cracks due to human fatigue during manual photo auditing across thousands of images.

Solution

What We Built: End-to-End AI Asset Monitoring Layer

T2D2 provides a multi-agent cloud platform where high-resolution structural imagery is automatically processed, damage is identified and tagged with precise bounding boxes, and deterioration is tracked across historical timelines. T2D2 connects asset managers, engineering teams, and drone operators in a unified, audit-ready ecosystem.

Capabilities

From intake and detection to spatial mapping and trend monitoring.

01

Intake & Asset Ingestion Engine

Ingests high-resolution photos, thermal scans, and aerial drone feeds directly into secure cloud S3 storage without browser lag.

02

AI Damage Detection Models

Automatically scans surfaces to detect, tag, and classify 80+ defect types across concrete, brick, stone, and composite materials.

03

Interactive 3D & Spatial Mapping

Plots localized damages onto interactive maps (Leaflet) and 3D digital twins (Cesium) for accurate defect localization.

04

Deterioration & Trend Monitoring

Tracks damage progression across historical multi-year timelines, providing engineers visibility into wear patterns over time.

User journey

From Aerial Capture to Governed Action

01

Case & Image Capture

Field teams or drone pilots capture high-resolution exterior imagery and upload datasets directly to the secure cloud portal.

02

Computer Vision Analysis

Deep learning models process structural elevations, recognizing cracks, spalling, efflorescence, and moisture anomalies.

03

Geotagging & Human Audit

Engineers review mapped anomalies on interactive maps and 3D digital twins, confirming or adjusting detected conditions.

04

Audit-Ready Export & Action

Auto-generate audit-compliant condition reports featuring spatial citations, historical trends, and maintenance recommendations.

Architecture & Technology Stack

Built for High-Resolution Visual Processing & Regulated Operations

  • 01AWS S3 & Cloud Pipelines optimized for zero-loss, background multi-file image upload.
  • 02Angular Single-Page Application delivering responsive UI rendering for complex defect overlays.
  • 03Node.js & Express API Backend handling scalable business logic and MongoDB metadata indexing.
  • 04Leaflet & Cesium 3D Integration providing real-time spatial mapping and digital twin visualization.
  • 05PyTorch Deep Learning Engine trained on forensic imagery for multi-class defect recognition.
  • 06Integrated AI Assistant Chatbot for instant metadata queries, asset search, and guided navigation.

Outcomes & Business Impact

Outcomes & Business Impact

Engineers Reclaim Analysis Time

Routine manual image auditing timelines are reduced by up to 70%, allowing structural experts to focus on complex exception evaluations.

Early Defect Detection

Catching surface micro-cracks and spalling early prevents major structural degradation, safety hazards, and regulatory fines.

Audit-Ready Asset Lineage

Every defect detection retains precise spatial coordinates, historical capture timestamps, and raw image lineage for regulatory reporting.

Python / PyTorch (CV)Angular & Node.jsLeaflet & Cesium 3DAWS Cloud & S3MongoDBCustom CMS/CRM

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