Hash Network Documentation
Website
  • About Hash Network
    • What is Provenance
    • Why Provenance Matters?
    • Why Hash Network Exists?
    • How Hash Network Solves These Problems?
  • Hash Netwok Provenance
    • Use Cases
      • Provenance For AI Agent Actions
      • Provenance In Camera
      • Provenance In Editing Tools
      • AI Generated Content
      • Other Use Cases
    • Provenance SDK
    • Provenance Contract
    • Provenance Schema
    • JSON Example
    • Verify SDK
    • Verify API
    • Architecture Overview
    • Supported Media Formats
    • Reputation System
    • Hash Verify - Chrome Extension
  • C2PA Standard
    • Overview
    • Manifest
    • Assertion
    • Action
    • Ingredient
    • Compatibility with Hash Network
  • Hash Network Playground
    • Provenance for AI generated Content
    • Register Content's Provenance Onchain
    • Verify provenance of content
  • Using Hash Network Chain
    • Network Information
    • Adding Network To Metamask
    • Contracts
    • Bridges
    • Block Explorer
    • Faucet
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  1. Hash Netwok Provenance
  2. Use Cases

Provenance In Camera

In the world of photography and videography, establishing the authenticity of visual media is critical, particularly for journalism, evidence gathering, and creative content. Hash Network provides provenance for images and videos captured by cameras by:

  • Device Authentication: Every photo or video taken is linked to a specific device, ensuring that the device used is authenticated. The camera’s details—such as make, model, and unique identifiers—are stored on-chain.

  • Timestamping: Each image or video is given an immutable timestamp, verifying exactly when the media was captured. This timestamp helps establish the content’s originality and validity, especially for legal and historical documentation.

  • Geolocation Provenance: When available, geolocation data is recorded, ensuring the context of the content’s creation is verifiable. For journalists or investigators, this can provide crucial evidence of the content's origin and context.

  • Content Integrity: Any edits or modifications to the visual content are recorded on-chain, preserving a transparent version history. This ensures that the original media can always be distinguished from manipulated versions.

Provenance in cameras ensures the authenticity of visual media, which is essential for maintaining trust in the documentation of real-world events and preventing the spread of manipulated or fake visuals.

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Last updated 4 months ago