基于游戏化技术的智能物联网-人工智能回收机设计

Zineddine N. Haitaamar, Abdelrahman Shata
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引用次数: 0

摘要

回收是减少污染和废物的关键过程。不幸的是,许多人发现这是一项耗时的任务,并且没有足够的动力去做,因此需要一个系统来简化过程并使其更有趣。该系统采用卷积神经网络对垃圾进行检测和分类,然后采用硬件机制对垃圾进行分类。该模型利用自定义数据集,达到89%的精度。该系统还配备了一个传感器网络,该传感器网络连接到互联网,并在物联网平台上查看结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a Smart IoT-AI Enabled Recycling Machine with Gamification Techniques
Recycling is a crucial process in decreasing pollution and waste materials. Unfortunately, many people find it a time-consuming task and are not incentivized enough to do it, thus the need for a system to simplify the process and make it more enjoyable. The system uses a Convolutional Neural Network to detect and classify the waste material and then a hardware mechanism to segregate the waste. The model utilizes a custom dataset and achieves a precision of 89%. The system is also equipped with a sensor network which connects to the Internet and views the results on an Internet-of-Things platform.
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