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About Baby Black & White Cards

Scientific visual stimulation for healthy baby development

Design Philosophy

Based on scientific research of infant visual development, we design high-contrast black and white patterns to provide the most suitable visual stimulation experience for 0-6 month babies.

Key Features

  • Responsive design for multiple devices
  • Multi-language support (CN/EN/JP/TW)
  • Auto-play with speed control
  • Mobile fullscreen viewing
  • Desktop image download, easy DIY black white cards
  • Keyboard shortcut support

Usage Guidelines

  • Suitable for 0-6 month babies
  • 15-20 minutes per session
  • Maintain 20-30cm viewing distance
  • Use in well-lit environment

Scientific Foundation

The visual system of newborns develops rapidly in the first few months after birth. Research shows that high-contrast black and white patterns can effectively stimulate the development of infant retina and visual cortex.

Babies aged 0-6 months cannot fully perceive complex colors and details, but have a natural preference for patterns with strong black and white contrast. These simple and clear patterns can help train babies' visual tracking ability, focus adjustment ability and spatial perception ability.

Our black and white card design strictly follows the scientific laws of infant visual development, from the simplest geometric shapes to slightly more complex animal silhouettes, providing age-appropriate visual stimulation for babies progressively.

Technical Implementation

Next.js 14
Modern full-stack framework
⚛️
React 18
Modern UI framework
📘
TypeScript
Type-safe development
🎨
Tailwind CSS
Utility-first CSS framework
🎯
Lucide Icons
Beautiful icon library
🌍
Next-Intl
Internationalization solution

Development Team

This project is created by a professional frontend development team, combined with advice from child developmental psychology experts, dedicated to providing scientific and practical early visual stimulation tools for parents worldwide.

© 2024 Baby Black & White Cards. All rights reserved.

This project is licensed under MIT License