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OpnIMG

OpnIMG converts smartphone photos from citizens, line crews, and field reporters into a validated, geolocated damage‑intelligence feed that can be ingested by existing OMS, GIS, EMS, or 311 systems. The platform captures images offline via a progressive web app, iOS ARKit, or Android ARCore, deduplicates reports, assigns confidence scores, and streams the structured observations through a connector bus, enabling utilities and emergency‑management agencies to obtain timely ground‑truth data during the critical post‑disaster restoration window.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

During the critical restoration window (days 3–7 after a disaster), utilities and emergency responders lack timely, reliable ground‑truth data about damage, because traditional assessment methods are slow, require extensive field crews, and often suffer from limited connectivity.

Solution

OpnIMG provides a validated, geolocated damage‑intelligence feed by converting smartphone photos from citizens, line crews, and field reporters into structured observations. Users capture images through a progressive web app, iOS ARKit, or Android ARCore, which operate offline and queue data when networks are degraded. The platform deduplicates reports and assigns confidence scores before emitting the feed via a connector bus to existing OMS, GIS, EMS, or 311 systems, allowing organizations to ingest fresh ground truth without altering their routing or work‑order processes.

Target Audience

Primary customers are electric utilities, municipal emergency‑management agencies, and other infrastructure operators that need rapid, accurate damage assessments during post‑disaster restoration.

Features

  • Tri‑modal capture: offline‑first progressive web app, native iOS ARKit with LiDAR depth, and Android ARCore integration
  • Unified identity and JWT contract for secure, consistent data attribution across capture modes
  • Automatic deduplication and confidence‑scoring to filter and validate incoming observations
  • Connector bus that streams validated, geolocated reports directly into GIS, OMS, EMS, and 311 platforms
  • Cloud‑hosted in the US (us‑east‑1) ensuring low latency and compliance for emergency‑management workflows
This profile is AI-generated and may contain inaccuracies.