Case Studies
Case Studies
Proven Impact: AeroMegh Intelligence GeoAI in Action
AeroMegh Intelligence empowers organizations across diverse sectors to achieve unprecedented efficiency and insight through advanced GeoAI. This section showcases real-world applications where AeroMegh’s cutting-edge platform has transformed complex aerial data into actionable intelligence, driving measurable outcomes and solving critical industry challenges.
Explore how AeroMegh Intelligence from PDRL is revolutionizing operations, optimizing resource management, and enabling smarter decision-making for businesses and governments worldwide.
Case Study: From Days to Hours: How a Leading Solar EPC Firm Cut Data Processing Time by 50% with DroneNaksha
CleanTech Synergy Private Limited, a leading solar EPC company in India, was drowning in drone data processing delays that took 2-3 days per project. By adopting DroneNaksha’s cloud-powered photogrammetry platform, they revolutionized their workflow and achieved remarkable results: over 50% reduction in processing time, drastic reduction in manpower requirements, and accelerated project delivery. This comprehensive case study demonstrates how cloud-native SaaS solutions can transform traditional desktop-based workflows, eliminate scalability blockers, and provide a competitive advantage in the solar energy sector.
Case Study: Revolutionizing Windmill Farm Inspection with AeroMegh GeoAI
A leading wind energy operator transformed their inspection process using AeroMegh Intelligence’s AI-powered drone technology, replacing dangerous manual rope access and weeks-long assessments with automated defect detection. The GeoAI platform combines high-resolution RGB and thermal imaging to identify eight types of blade anomalies, from surface cracks to internal structural defects invisible to traditional methods. Results included dramatic time reduction from weeks to hours per turbine, enhanced worker safety, unparalleled detection accuracy, and proactive maintenance capabilities that prevent costly failures while optimizing energy output across entire wind farm fleets.
Case Study: Solar Farm Inspection: Empowering Renewable Energy Operations
A solar farm operator transformed their inspection process from weeks of manual analysis to automated defect detection in minutes using AeroMegh Intelligence’s GeoAI platform. The solution automated analysis of massive orthomosaic images, eliminated human error in defect identification, reduced operational costs through decreased labor requirements, and optimized solar panel performance for maximum energy yield while requiring zero infrastructure investment through a pay-per-consume model.
