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Aerial Survey & Mapping

Current methods lack efficiency, precision, and speed in land area mapping and monitoring. Manual processes hinder accuracy and fail to promptly detect changes in construction, environment, and land use. A solution employing fully autonomous drones is vital for transformative and effective mapping and monitoring.

Technologies Used

To tackle the mapping and monitoring challenges, we employed an integrated approach using CesiumJS, Python, and Java. CesiumJS's dynamic visualization capabilities enabled us to create interactive and detailed maps for efficient data representation. Python facilitated data processing and analysis, enhancing accuracy in mapping results. Java powered the backend operations, enabling seamless integration and robust functionality. This multi-dimensional solution revolutionized mapping and monitoring, optimizing accuracy and efficiency in land management practices.

CesiumJs

Javascript

Python

Java

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