利用YOLO v5和热像仪进行搜索的人防无人机

Jewel Kate D. Lagman, Alden B. Evangelista, C. Paglinawan
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引用次数: 3

摘要

当灾难或事故发生时,必须做的第一件事是搜索行动;这必须小心谨慎地使用一个定义良好的程序来完成。它的目的是帮助那些处于直接危险中的人。然而,由于有限的设备和危险的情况,一个人进行搜索行动是不安全的,特别是在危险的地方。该研究开发了一种无人机(UAV)原型机,该原型机可以捕获用于搜索操作的全景头部图像,并在图像中检测人类。在检测到图像中存在人类后,该原型会对帧中的实际人物进行计数,并实时显示发现的总人数。假设同一个人被检测了两次,但在不同的帧中,它仍然会被计算在总人数上。在目标检测中,使用You Only Look Once Version 5 (YOLOv5)作为算法。为了从被检测的人那里获得更准确的结果,将增加热像仪。
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Unmanned Aerial Vehicle with Human Detection and People Counter Using YOLO v5 and Thermal Camera for Search Operations
When a disaster or accident occurs, the first thing that must be done is search operations; this must be done carefully and discretely using a well-defined procedure. Its purpose is to help people who are in immediate danger. However, conducting search operations by a person, especially in a risky location, is not safe due to limited equipment and dangerous scenarios. This study developed an Unmanned Aerial Vehicles (UAV) prototype that captures even with an overview head image for the search operation and detects humans in the image. After detecting the presence of a human in an image, the prototype counts the actual people in the frame and displays the total number of people discovered in real time. Suppose the same person was detected twice but in a different frame, it will be still counted on the overall person counts. In object detection, You Only Look Once Version 5 (YOLOv5) is used as an algorithm. Thermal camera will be added for more accurate results from the detected person.
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