PathPulse.ai Whitepaper
  • PathPulse.ai : Rerouting the Future
  • What is PathPulse.ai?
    • Why are we building?
    • What are we building?
    • Vision & Mission
    • The Impact
  • Current Market Scenario
  • Core Offerings
    • Pulse Scout Mobile Application
    • Hardware Components
    • Introducing PulseNet - Advanced Artificial Intelligence
    • Minimalist Processing
    • Millimaps - A Super Layer
    • PathPulse $PULS Points
  • Technology Stack
    • Technology Fundamentals
    • Overview of PulseNet Navigation Architecture
      • 1. Data Ingestion Layer
      • 2. Data Preprocessing and Storage
      • 3. Feature Extraction and Analysis
      • 4. Data Fusion Module
      • 5. Decision-Making Engine
      • 6. User Interface and Communication
      • 7. Feedback and Learning Loop
      • 8. Security and Privacy
  • Value Proposition
  • Metadata Collected and Features
    • Key Data Points Collected
    • Dashboard for Fleets
  • Key Potential Paying Customers
  • What Sets Us Apart
  • Business and Revenue Model
    • Operation Samples
    • Revenue Streams
    • Customer Acquisition
  • PathPulse.ai Roadmap
    • Product Development Roadmap
    • Metadata Roadmap
    • PulseNet Patent Roadmap
  • Utilities - Outcome
  • Web3.0 Utilities
    • Contributor ID: A Decentralized Identity Framework
    • Integrating Blockchain for Data Feeds
    • Decentralised Data Marketplace
  • Our Leadership Team
    • Key Team Members
    • Legal Advisors
    • Advisors
  • Contact Information
  • Legal Disclaimer
  • Terms & Conditions
  • References
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  1. Technology Stack

Overview of PulseNet Navigation Architecture

PulseNet - Advanced Artificial Intelligence represents the pinnacle of AI technology in the context of advanced navigation systems. It integrates vast amounts of real-time data, complex algorithms, and predictive modelling to provide unparalleled routing and decision-making capabilities.

The PusleNet navigation system is designed to process and analyse data from multiple sources, including dashcams and external APIs, to make optimal routing decisions in real-time. The architecture is divided into eight key components:

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Last updated 2 months ago