Harnessing AI and Open Source Satellite Imagery to Address Global Problems
March 1st, 2021

Omdena successfully combines AI and ML methodologies with open source, low resolution satellite imagery to create actionable solutions for powerful insights.   Introduction Every day, millions of images are captured from space by an ever-growing number of satellite

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Machine Learning For Rooftop Detection and Solar Panel Installment
October 12th, 2020

By Harshita Chopra   Solar energy is a promising and freely available resource for managing the forthcoming energy crisis, without hurting the environment. Unlike conventional fossil fuels, it won’t run out anytime soon. Fact — There’s enough solar energy

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Demo Day Insights | Accelerating the Clean Energy Transition | World Energy Council
July 11th, 2020

By Rosana de Oliveira Gomes Two Omdena teams with a total of 50 AI experts and data scientists from 25 countries collaborated with the World Energy Council and the Nigerian NGO RA365 in carrying out data-driven analyses and providing AI solutions to address the Global T

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Satellite Imagery Analysis and Heatmaps to Identify the Best Areas for Solar Energy in Africa
May 11th, 2020

Identifying the most impactful areas for solar installation in Nigeria, Africa by analysing nighttime satellite imagery and developing demand heatmaps.   By Henrique Mendonça   The demand for solar energy The Nigerian NGO Renewable Africa #RA365 has the missi

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Increasing Solar Adoption in the Developing World through Machine Learning and Image Segmentation
April 29th, 2020

  The problem How to Increase Solar Adoption in the developing world through Image Segmentation? Applied in India. Machine Learning can bring a new era in the clean energy sector. This article describes how to identify rooftops from satellite images to find suitabl

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Rooftop Detection on Low-Resolution Images with Mask R-CNN Model
April 28th, 2020

The problem The complexity of the task is increased due to the quality of satellite images from India (and most of the developing world). Similar solutions like the Google Sunroof project work only on high-resolution images and are not usable in the majority of the deve

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