Dronenet – A2IR2 – Applied Artificial Intelligence & Robotics Research Lab, OAU, Ile-Ife

AIR Fair” Exhibition and Commissions AI Studio

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The event held on the 1st of December 2022 at the site of the newly built AI studio. It had in display a dozen different projects that were using Artificial Intelligence to solve real life problems in the community ranging from security, agriculture e.t.c. Most importantly the progress on the ngDroneNet was displayed to the public via the Automatic Landing and Recharge system. The goals of the OAU AIR Fair were to inform and to inspire. With respect to the first goal, the exhibition will provide an opportunity for research groups to exhibit ongoing projects in which AI is being used to solve real-life problems.

AUTOMATIC LANDING AND RECHARGE SYSTEM (ALRS) DESIGN

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n order to ensure that the coordination of the drone flights is as autonomous as possible, it is very essential that the process of recharging of the battery is fully automated. The functions of the Automated Landing and Recharge Systems (ALRS) include:

COMPUTER VISION

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One of the goal of the project is to use computer vision to monitor, track and detect events (predicated strongly on speed of moving objects). The team saddled with the responsibility has been hard at work and tested with a static camera. The breakdown of the Work plan for the Computer Vision team includes

DESIGN CONSIDERATIONS FOR THE DRONE

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Fundamentally the question of drone design requires us to know what is the particular use case(s) we want to put them to. We k now this about drones: Drones otherwise known as unmanned aerial vehicles (UAVs) are small-sized aircraft with no need of a pilot commanding them. UAV is divided into three categories based on its wing shape and body structure; fixed-wing, rotary wing (rotorcrafts), and flapping.