Smart Trash Classification Machine

被引：0
|
作者：
Wiriwithya, Pathaphon [1 ]
Rungnarongruck, Siwach [1 ]
Pongamphai, Sasapol [1 ]
Puapattanakul, Saranyapong [1 ]
Chancharoen, Ratchatin [1 ]
机构：
[1] Chulalongkorn Univ, Dept Mech Engn, Bangkok, Thailand
来源：
2023 9TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND ROBOTICS ENGINEERING, ICMRE | 2023年
关键词：
trash classification; tensorflow; deep learning; Programmable Logic Control (PLC); !text type='python']python[!/text; Convolutional Neural Network (CNNs); ImageNet;
D O I：
10.1109/ICMRE56789.2023.10106603
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Smart trash classification machine is a machine vision made to handle the problem of unsorted trash from its primary source. The machine is made to classify trash in a short time with high efficiency and consists of two components. The first component is software for constructing an algorithm using the TensorFlow library, built in the Python programming language, to produce an image of trash and store it in the library. The image will be divided into six types based on their characteristics and shape and will be automatically analysed using the deep learning ImageNet model. When the safety light curtain sensor detects trash, a signal is sent to the RGB camera, which captures an image of the trash. The acquired image will then be analysed by algorithm software that is compared to the library image in the database and then sends a signal to the hardware component indicating the type of trash. The second component is hardware, which consists of an RGB camera, light curtain safety sensors, a bin-driving motor, and garbage sorting bins.
引用
收藏
页码：146 / 150
页数：5
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