/HawkEye

Mobile application for analysis of solar energy potential for ISRO - Winner, college qualifier round, Smart India Hackathon 2020

Primary LanguagePythonMIT LicenseMIT

HawkEye

Mobile application for analysis of solar energy potential in an urban setting for the Indian Space Research Organization (ISRO)

Winner, college qualifier round, Smart India Hackathon 2020

demo

Problem Statement

  • To develop a mobile application for detecting sky pixels in a photograph
  • Generate mask image (sky pixels - white, other pixels - black)
  • Calculate angle of elevation of lowest sky pixel in mask image

Features

  • Machine Learning Model - HRNet - for semantic segmentation of landscape images
  • Achieved a misclassification rate of 4.7% on a sample of 500 images from the skyfinder dataset
  • Find angle of elevation of lowest sky pixel with Canny edge detection, HOG transform, thresholding and trigonometry using details from the camera's optics (proposal)