StepSolar

World's most accurate solar potential assessment platform with advanced sky-region detection.

Designed a sky-region detection algorithm leveraging region growing segmentation, and edge detection to enable ground-based solar irradiance measurements. Spearheaded development of Step Solar Android app with Google Maps and Solmetric API integration, and SQLite database design. Recognized as “The World’s Most Accurate Shading Tool” in a University of Oregon validation report.

Sky-Region Detection Algorithm

  • Implemented region growing segmentation for sky detection
  • Developed HSV thresholding for accurate sky boundary detection
  • Created edge detection algorithms for precise skyline analysis
  • Enabled ground-based solar irradiance measurements

Android Application

  • Integrated Google Maps API for location-based services
  • Implemented Solmetric API for solar measurements
  • Designed SQLite database for efficient data storage
  • Created user-friendly interface for solar potential assessment

Results

  • Recognized as world’s most accurate shading tool by University of Oregon
  • Automated precise skyline analysis for solar potential assessments
  • Validated through independent testing and comparison

Validation Report

University of Oregon Validation Report

Technologies Used

  • Android Development
  • Google Maps API
  • Solmetric API
  • SQLite
  • Computer Vision
  • Image Processing
  • Region Growing Segmentation
  • Edge Detection