猴子智能相机:一种使用YOLOv3检测和控制猴子的新型物联网方法

Praveen Tumuluru, S. Raju, Dorababu Sudarsa, P. Rao, Sampoornamma Sudarsa, Lakshmi Burra
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引用次数: 4

摘要

如今,寺庙里出现了几起猴子过多惹恼游客的事件。不仅如此,村里的个人还会多次受到与金钱有关的操作的骚扰。由于跟踪和分割猴子是一项具有挑战性的任务,因此该系统将内置激光枪的相机集成在一起。当发现一只猴子或一群猴子时,激光枪将通过使猴子在特定的时间内失去知觉来准确地射击猴子。这一想法将通过物联网实现,物联网将识别特定的实体,然后通知充满无意识注射的激光枪,以准确射击这些目标。这项技术的好处包括能够很容易地避免来自这些猴子的噪音和干扰,以及能够准确地实现计算智能(由机器学习算法给出)。其中使用的模块有:运动传感器,用于识别动态照片中的特殊内容;通信模块,用于准确警报特定对象;历史模块,用于将猴子的个人信息随时间发送到相关中心。这份每日报告将与一段猴子被激光注射攻击以使其失去知觉的视频一起送到相应的中心。将来可以使用YOLOv3或其他高级算法扩展到一次检测多个对象
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Smart Camera for monkeys: A Novel IoT approach for detection and controlling the monkeys using YOLOv3
Nowadays, there are several instances in temples where the presence of additional monkeys irritates visitors. Not only that, but there are several times in which individuals in the villages will be harassed by money-related operations. Since tracking and splitting monkeys is a challenging task, the proposed system incorporates a camera with a built-in laser gun. When a monkey or a gathering of monkeys is discovered, the laser gun will accurately shoot the monkeys by making them unconscious for a specific amount of time. This idea will be implemented through the Internet of Things, which will identify specific entities and then notify a laser gun that is filled with unconscious injections to accurately fire such targets. The benefits of this technology include the ability to readily avoid noise and disturbance from such monkeys, as well as the ability to accurately implement computation intelligence (given by a machine learning algorithm). The modules utilized in this are a movement sensor for identifying the specially taught things in dynamic photos, a communication module that alerts to fire specific objects with accuracy, and a history module that sends the monkeys' personal information over time to the concerned center. The daily report will be delivered to the appropriate centre along with a video of monkeys being attacked with laser injections in order to render them unconscious. It could be extended in the future to detect many objects at once by using YOLOv3 or another advanced algorithm
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