Case overview A sustainability advisory firm engaged Genesis Ray to conduct an extensive evaluation of built-up areas and detect rooftop slopes across the states of India. The primary objective of this assessment was to identify the potential for rooftop solar installations and to classify various built-up areas for the purposes of urban planning and development.…
Case overview A leading sustainability advisory firm wanted to conduct a comprehensive assessment of wasteland areas in select states of India. The project aimed to identify and categorize various types of wastelands, providing critical data for potential land reclamation and development initiatives. This assessment was pivotal in understanding the land use patterns, identifying underutilized areas,…
Case overview In the global quest for sustainable energy solutions, renewable developers face the essential challenge of pinpointing the best locations for energy infrastructure projects. This case study explores how a renewable energy developer collaborated with Genesis Ray to harness location intelligence and meticulously evaluate the site suitability reports for five potential sites. Leveraging advanced…
Case overview Our client aimed to improve their pipeline monitoring by incorporating drone technology for real-time incident prediction, leveraging surveillance with object detection. They needed a web-based dashboard that could handle live video feeds from drones surveilling their pipeline network. Involvement Machine Learning Object Detection Drone Imagery Real-Time Object Detection Visit live The Brief The…
Case overview As a leading renewable energy developer, our client sought to integrate GIS and climate modeling capabilities to precisely identify wind turbines for repowering in Germany. Genesis Ray meticulously gathered data on renewable energy infrastructure nationwide, expertly mapping assets within a customized GIS application. This solution seamlessly integrated project-specific details such as technical specifications,…
Case overview A renewable energy company was seeking to broaden its array of wind and solar projects and recognized the importance of precise site selection using webgis. Key factors in this decision included wind speed, solar irradiance, availability of land, environmental implications, and proximity to transmission infrastructure. The traditional methods for site selection at the…