Carypto White Paper
  • CARYPTO APP
  • P2E game environment
  • ⚡GAME MODE (Drive to Earn)
    • ⚡PLAY MODE
      • 1. Single mode
      • 2. Mission mode
      • 3. Team Mode
      • 4. Restrictions and precautions for receiving compensation
    • ⚡Charging unit
      • Pricing of CW
    • Earnings by driving
    • CW charging limit
    • The existence of Walker
    • ⚡NFT Type and Name
      • Basic concepts and terminology for operation
    • 🚗NFT car
    • Type of cars
    • ⚡Upgrade
    • ⚡Tuning & Lucky Box
      • Parts
    • Automobile Manufacturing (CAR-Self Minting)
    • Mining Compensation
    • Repair items and cost
    • Deducting point system
    • Incineration plant
    • Notification system
    • Update status and changes
    • What is a transportation socket?
  • Abstract
    • What does Carypto aim for?
    • What is a Carypto Platform?
    • Carypto Platform Overall configuration
    • Components and Roles of Carypto Platform
  • Introduction
    • The Expected Effect of the Blockchain-based Mobility Platform
  • Vision
    • 2-C. Sharing-oriented (M2M, P2P, M2Platform)
  • Mission
    • 3-A.Service
    • 3-B. Device
    • 3-C. Social Platform
  • Technology
    • 4-B. Technology of Safe Driving Service
    • 4-C. Deep Learning / AI Technology
  • Eco System
  • Application (Cases)
  • CART Token
  • CARNOT Token
  • Disclaimer
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  1. Technology

4-B. Technology of Safe Driving Service

PreviousTechnologyNext4-C. Deep Learning / AI Technology

Last updated 3 years ago

Platform for safe driving services for an aging society based on cognitive load

  • Designing driving records, driving patterns and data models

  • Development of biometric data-based driving/identification load measurement algorithm by drivers

  • Visualization service for driving and cognitive loads

Development of Integrated Device Technology for Safe Driving Services for Aging Society Based on Cognitive Load

  • Image-based cognitive load/operating load sensing technology

  • Creating data by combining eye-tracking and image segmentation technologies

  • Deep Learning-based image segmentation technology

Development of cognitive enhancement interaction technology for transportation-disadvantaged groups

  • Developing technology to elicit driver-specific recognition/ judgment models and provide information-Developing technology to cope with driving conditions and risks

  • Developing UI/UX interface technology for analysis-based driving conditions and risk management

  • Developing UI/UX technology for safe connection service use by the transportation- disadvantaged groups

  • Applying driver input technology for friendly connected services of transportation-disadvantaged groups