Ticker $LM - Decentralized Light Research
Light pollution is a growing threat to human health, wildlife, and our ability to experience the night sky. Decentralized Light Research (lm) tackles this problem head-on by merging AI, IoT, and blockchain to capture, analyze, and reduce harmful light levels worldwide. Our mission is to empower communities and decision-makers with accurate data, interactive tools, and meaningful incentives to preserve dark skies.

Why lm?

1. Confront a Silent Intruder

   • Artificial light that spills beyond intended areas disrupts ecosystems, affects circadian rhythms, and masks celestial views.

   • The problem grows yearly, demanding immediate action.

2. Community-Centered Action

   • Anyone can contribute by collecting local light data through sensors or smartphone apps.

   • Earn lm tokens for sharing data, ensuring everyone has a stake in restoring natural darkness.

3. Data-Driven Transparency

   • Through blockchain, recorded light data remains tamper-proof.

   • Communities, researchers, and policymakers trust the integrity of shared insights.

Core Capabilities

1. Adaptive Light Mapping

   • AI pinpoints the intensity and distribution of stray light.

   • Dynamic dashboards visualize real-time readings, helping communities see exactly where and when excessive lighting occurs.

2. Predictive Light Patterns

   • Machine learning models forecast how light intensity might shift over time, factoring in urban growth and seasonal changes.

   • Early warnings let cities plan mitigations before problems escalate.

3. Targeted Light Reduction

   • Insights reveal the source of intrusive lighting—whether streetlights, office windows, or billboards—so stakeholders can act surgically.

   • Recommendations range from shielded fixtures to sensor-based dimming schedules.

Technology Stack

1. Data Collection & Processing

   • IoT Devices: Low-power light sensors with mesh networking for remote, continuous monitoring.

   • Mobile Participation: User-friendly apps let citizens snap images or measure brightness on the go.

2. Advanced AI & ML

   • Python Toolkits (TensorFlow, PyTorch) for classifying light sources with high accuracy.

   • Computer Vision libraries analyze images for glare, color temperature, and fixture identification.

3. Distributed Networking

   • Edge Computing: On-device filtering reduces bandwidth, sending only the most relevant data to central servers.

   • Microservices Architecture: Containerized services handle tasks like data ingestion, real-time modeling, and dashboard updates.

4. Blockchain & Tokenomics

   • Ethereum & Polygon smart contracts keep data immutable, while managing decentralized storage.

   • lm Tokens: Contributors earn lumens for providing reliable data, creating a sustainable incentive system.

5. Visualization & Insights

   • GIS Integration: Tools like GeoPandas and PostGIS enable precise geospatial analysis.

   • Responsive Dashboards: Built with frameworks like React or Dash for easy interpretation and collaboration.

How It Works

1. Collect Data

   • Volunteers and automated sensors gather light readings worldwide.

2. Analyze & Model

   • AI processes raw data, classifies sources, and predicts future changes.

3. Share & Visualize

   • Dashboards let communities and officials explore maps, charts, and real-time alerts.

4. Act & Earn

   • Participants and policymakers implement best practices, from installing shielded streetlights to adopting dark-sky regulations—earning lm tokens when they contribute data or solutions.

Roadmap

• Phase 1: Pilot Cities

  • Roll out pilot programs in major urban centers.

  • Engage local governments for hands-on testing of IoT sensors and data dashboards.

• Phase 2: Global Extension

  • Expand coverage to suburban, rural, and ecologically fragile zones.

  • Form alliances with environmental organizations and academic institutions.

• Phase 3: Customized Solutions

  • Launch AI-driven guidelines for businesses, homeowners, and city planners.

  • Integrate personalized notifications to reduce unwanted light automatically.

Fast Facts

• Over 80% of humanity lives under light-polluted skies.

• Billions of dollars wasted on inefficient lighting annually.

• Countless species harmed by disrupted feeding, breeding, and migration cycles.

Join Us
Become a part of our global initiative to safeguard the night sky. By monitoring local light levels, sharing data, and implementing our AI-driven recommendations, you help restore balance for people and nature. Together, we can empower communities and illuminate the world more responsibly—one lumen at a time.