Spexi Documentation
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  • Introduction
    • The Spexi Network
    • Why Does Spexi Exist?
  • Network Overview
    • Spexigons
    • FLY TO EARN
    • Pilot Eligibility
    • Compatible Drones
    • Explorer & Imagery Uploader
    • Mobile App
    • Spexigon Reservations
    • Pilot Ratings
    • Spexigon Coverage & Types
    • Proof of Capture
    • Safety
  • Pilot Onboarding
    • Introduction & Account Setup
    • Flying & Capturing Spexigons
    • Submitting Imagery for Rewards
    • Drone Safety & Best Practices
  • Rewards
    • Cash + Reputation Points (RPs)
  • Roadmap
    • Launch Plan Overview
    • Phase 1 - Internal Alpha (complete)
    • Phase 2 - Trusted User Alpha (complete)
    • Phase 3 - Private Beta Testnet (complete)
    • Phase 4 - Public Beta Testnet (current)
    • Phase 5 - Mainnet
  • Aerial Imagery & Data Products
    • Quality & Recency
    • Coverage & Capture Frequency
    • Use Cases
    • Imagery Viewer
    • Imagery API
    • How to Purchase Imagery
  • Resources
    • FAQs
    • Pilot Links
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  1. Aerial Imagery & Data Products

Quality & Recency

PreviousPhase 5 - MainnetNextCoverage & Capture Frequency

Last updated 7 months ago

On each flight, the Spexi app will automatically collect a variety of high-resolution images that will then be indexed and made available to data buyers via a customer-facing imagery viewer product and eventually an imagery API.

Images will be taken at an altitude of 80m (260ft) AGL (Above Ground Level), which is low enough for high-resolution images but high enough that faces, license plates, and house numbers will not be recognizable. However, image blurring may occur to ensure data privacy where required.

There are three main aspects that when combined, will make the imagery collected by Spexi significantly more useful than traditional forms of aerial imagery:

  • Resolution: Ultra-high resolution imagery (up to 3cm GSD) provides a level of detail over a large territory that is not accessible or attainable by other means.

  • Recency & Frequency: Recently acquired data that is frequently updated. Data that is months or years old is used as a basic input in many business systems, which needs to change. Recent data adds value by better representing the actual and current state of assets monitored.

  • Real: Data is not post-processed, giving a high-fidelity view of reality.

We are already working with several potential customers, and as we learn more about their needs, we’ll update the documentation to reflect the kinds of data products we’ll be offering them and how that will benefit the network.

Will this compete with Google Maps?

The short answer is no.

Although the Spexi team has deep experience in aerial imagery and mapping, creating a competing map product to Google is not our goal.

However, the high-resolution aerial data Spexi pilots collect complements and could be used by a mapping products like Google Maps, Mapbox, Apple Maps, etc., to make their products more valuable and recent. Even satellite companies could benefit from Spexi imagery by providing higher resolution options to their customers or using it to correlate objects to their lower resolution imagery.

Aerial panorama generated from Spexi imagery in San Francisco, CA
3D model generated from Spexi imagery in Vancouver, BC.
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