Unmanned Aerial Vehicles (UAVs) have become pivotal in domains spanning military, agriculture, surveillance, and logistics, revolutionizing data collection and environmental interaction. With the advancement in drone technology, there is a compelling need to develop a holistic methodology for designing UAVs. This research focuses on establishing a procedure encompassing conceptual design, use of composite materials, weight optimization, stability analysis, avionics integration, advanced manufacturing, and incorporation of autonomous payload delivery through object detection models tailored to satisfy specific applications while maintaining cost efficiency. The study conducts a comparative assessment of potential composite materials and various quadcopter frame configurations. The novel features include a payload-dropping mechanism, a unibody arm fixture, and the utilization of carbon-fibre-balsa composites. A quadcopter is designed and analyzed using the proposed methodology, followed by its fabrication using additive manufacturing and vacuum bagging techniques. A computer vision-based deep learning model enables precise delivery of payloads by autonomously detecting targets.

翻译：无人飞行器（UAV）已在军事、农业、监控和物流等领域发挥关键作用，彻底改变了数据收集和环境交互方式。随着无人机技术的进步，亟需开发一套整体性的无人机设计方法。本研究聚焦于建立一套涵盖概念设计、复合材料选用、重量优化、稳定性分析、航电集成、先进制造以及通过目标检测模型实现自主有效载荷投递的流程，以满足特定应用需求并维持成本效益。研究对潜在的复合材料及多种四旋翼机架构型进行了比较评估。创新特征包括有效载荷投递机构、一体式机臂固定装置以及碳纤维-轻木复合材料的使用。采用所提出的方法设计并分析了一架四旋翼无人机，随后通过增材制造和真空袋压技术进行制造。基于计算机视觉的深度学习模型通过自主检测目标实现了有效载荷的精确投递。