非法种植罂粟严重危害社会安全,是我国法律明令禁止的行为。目前罂粟巡查主要依赖无人机拍摄结合人工识别,存在效率低、易疲劳和专业要求高等问题。为此,设计了一套基于多旋翼无人机与Jetson Orin NX边缘计算平台的智能巡航检测系统,集成高清图像采集、边缘AI实时推理、5G通讯模块与Web可视化于一体。该系统通过机载的边缘计算平台上的目标检测模型实时分析图像,并借助5G通讯将结果上传至Web端,供地面人员审核处理。实际应用表明,该系统显著提升了罂粟巡查的自动化水平、响应速度与检测精度,为禁毒工作提供了高效可靠的技术支持。

Illegal opium poppy cultivation poses a serious threat to social security and is explicitly prohibited by law in China. Current poppy patrols primarily rely on drone imagery combined with manual identification, which suffers from low efficiency, susceptibility to fatigue, and high professional requirements. To address these issues, this paper designs an intelligent patrol and detection system based on a multi-rotor drone and the Jetson Orin NX edge computing platform. This system integrates high-definition image acquisition, edge AI real-time inference, a 5G communication module, and web visualization into a cohesive unit. The system utilizes an object detection model on the onboard edge computing platform to analyze images in real-time. The results are then uploaded via the 5G communication module to a Web interface for review and processing by ground personnel. Practical application demonstrates that this system significantly enhances the automation level, response speed, and detection accuracy of poppy patrols, providing efficient and reliable technical support for narcotics control efforts.