Development and implementation of a UAV multisensor platform based on edge computing

Published: 11 July 2023| Version 1 | DOI: 10.17632/fzvmjgtdp4.1


Designs of 3D pieces used in the implementation and development in the project entitled: "Development and implementation of a UAV multisensor platform based on edge computing" Abstract: In this research, we propose the design, implementation and development of an UAV multi-sensor platform based on Edge Computing, from now on also called (UAV MS - EC platform), which uses parallel computing for a real time modular software and hardware architecture to use in applications such as, environmental monitoring, search, rescue, reconnaissance and surveillance operations, for which there is currently a large number of lightweight sensors that have been introduced in the market in the last few years, in this context, energy consumption become a important metric in the development of UAV MS-EC platforms for data collection. Therefore, it is necessary to perform an energy consumption analysis that combines different sensing modalities to provide a time/efficiency consumption model, would present an efficient energy management of a UAV MS-EC platform, for multipurpose applications that target low energy consumption for multiple operating modes, which implemented a sensor modules called as follow Geospatial Intelligence (GEOINT) module, Signals Intelligence (SIGINT) module, Measurement and Signature Intelligence (MASINT) module, and Navigation module, governed by one Edge Computing Embedded System (EC-ES) for data collection, which can be interchangeable according to the battery lifetime requirements.


Steps to reproduce

The pieces were made in solidworks, from this they must be exported to files with .stl extension, depending on the type of file used by the 3D printer where the berries to replicate, for the pieces presented in the paper we use the EDEN 350V 3D printer Polyjet


Universidad Sergio Arboleda


Image Acquisition, 3D Imaging, Image Capture, Audio Recording, Lidar, Multi-Imaging, Application of Sensors, Agricultural Sensor, Sensorics, Image Artifact, Sound, Drone (Aircraft), Radio Frequency Measurement, Edge Computing


Ministry of Science, Technology and Innovation of the Government of Colombia, through the National Program of Science, Technology, and Innovation in Security and Defense

Proyecto Código -133580864697- Cto-527-2019 M301PR03F08