There are diverse fabric materials available in today’s world, which need various washing methods to make them last longer. However, present technology does not have an efficient mechanism for managing numerous fabrics when it comes to washing these fabrics in the washing machine. Therefore, it is important to classify different fabrics and give the optimized wash according to the quality of the fabrics. So, clothes quality and lifetime are increased. If a neural network model is trained to learn these features that are inherent to the fabric structures, by exhibiting a set of cotton and silk fabric images, then the neural network would be able to correctly distinguish between different fabric images. To implement this a convolutional neural network (CNN) algorithm is used. The hardware part of the project includes a Raspberry Pi, which is connected to a camera sensor, a temperature sensor, a motor, and a water level sensor for controlling the level of water in the washing machine. It is also automated to supply the required amount of soap and water based on different fabrics.
Automatic Fabric Classifier Using Nesterov-Accelerated Adaptive Moment for Washing Machine
Lect. Notes Electrical Eng.
2023-03-12
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
British Library Online Contents | 2015
|Europäisches Patentamt | 2022
|