Visual Recognition to Identify Helmet on Motorcycle Rider Using Convolutional Neural Network
| Autor: | Rayhan Ardiya Dwantara, Raihan Muhammad Naufal, Kevin Alexander, Derwin Suhartono |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
convolutional neural network 02 engineering and technology 010501 environmental sciences 01 natural sciences Convolutional neural network lcsh:Telecommunication lcsh:TK5101-6720 visual recognition 0202 electrical engineering electronic engineering information engineering Computer vision 0105 earth and related environmental sciences General Environmental Science lcsh:T58.5-58.64 lcsh:Information technology business.industry Supervised learning helmet Motorcycle rider Visual recognition motorcycle rider Kernel (image processing) General Earth and Planetary Sciences 020201 artificial intelligence & image processing Artificial intelligence business Ibm watson |
| Zdroj: | CommIT Journal, Vol 14, Iss 2, Pp 89-94 (2020) |
| ISSN: | 2460-7010 1979-2484 |
| DOI: | 10.21512/commit.v14i2.6564 |
| Popis: | The amount of motorcycle accidents is increasing each year. The main reason is that the riders do not wear a helmet. The research aims to minimize the accident by training the machine learning using the IBM Watson Studio. It trains the data about “wearing helmet” and “not wearing helmet”. The used method is Convolutional Neural Network (CNN). About 170 image datasets are used. CNN is conducted on the input image using a kernel or filter. The filter will multiply its values with the overlapping values of the image while also sliding and adding them all to produce a single value for each of them until the entire images have passed and finished. After CNN method is done, the researchers can classify the images by using supervised learning. It can identify whether the rider is wearing a helmet or not simply by scanning a picture on the street. The result shows high accuracy of 92.87%. The method can be used to minimize the percentage of motorcycle accidents caused by not wearing a helmet. |
| Databáze: | OpenAIRE |
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