Integrated remote controller distinguishing home appliances by deep learning
| Autor: | Takaya Sakao, Tomohiro Hase |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Artificial neural network business.industry Computer science Deep learning ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology 010501 environmental sciences 01 natural sciences Convolutional neural network 020901 industrial engineering & automation Home automation Control theory Computer appliance Process control Artificial intelligence business Computer hardware 0105 earth and related environmental sciences |
| Zdroj: | GCCE |
| Popis: | This paper describes a method for distinguishing various home appliances with separate remote controllers and integrating control with a single remote controller. We propose that images of home appliances can be obtained with a camera, after which the appliances can be distinguished from each other by a convolutional neural network. We developed an experimental system to evaluate our proposed method and demonstrated that the system could distinguish different home appliances with a high accuracy of 99%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|