AI & ML Powered Autonomous Drone System

Ramprasad Kulkarni, Omkar Patil, Viraj Gavhane, Shrikant Mane, Nitin Zinzurke
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Abstract

The use of drone technology is growing in popularity and has many different industrial uses. Drones are used in agriculture for pesticide and fertilizer application, crop monitoring, and mapping. Drones can be used in the building sector to check job sites and track development. In the movie industry, drones are also utilized for aerial photography and in search and rescue efforts to reach inaccessible places. In general, drone technology has the potential to revolutionize a variety of industries and offer fresh approaches to problems that were previously challenging to solve. Our idea is to develop AI ML based autonomous drone system that can be deployed in many areas for multiple applications such as surveillance, warehouse management etc. The layout includes a PI-CAM V2 camera on a quadcopter using GPS and system powered by Robot Operating System, Open CV and other technologies that gives ability to drone to fly without need of pilot autonomously. Key Word: Multipurpose, Robot Operating System, Simulation, Surveillance, Tracking, Quadcopter, OpenCV, Machine Learning, Object Detection.
AI和ML驱动的自主无人机系统
无人机技术的使用越来越受欢迎,并有许多不同的工业用途。无人机在农业中用于农药和化肥施用、作物监测和绘图。无人机可用于建筑领域,以检查工作地点和跟踪发展。在电影行业,无人机也被用于航空摄影和搜索和救援工作,以到达难以到达的地方。总的来说,无人机技术有可能彻底改变各种行业,并为以前难以解决的问题提供新的解决方法。我们的想法是开发基于AI机器学习的自主无人机系统,该系统可以部署在许多领域,用于多种应用,如监控,仓库管理等。该布局包括在四轴飞行器上安装PI-CAM V2摄像头,使用GPS和由机器人操作系统、Open CV和其他技术驱动的系统,使无人机能够在不需要飞行员的情况下自主飞行。关键词:多用途,机器人操作系统,仿真,监控,跟踪,四轴飞行器,OpenCV,机器学习,目标检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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