Detection of Two wheelers Helmet Using Machine Learning.
The following paper came up with a method for detecting motorbike riders with &without a helmet with the help of machine learning, and IoT(Internet of things). Two-wheeler accidents are increasing gradually in all countries. A helmet or a protective cap is the predominant safety equipment of two-whe...
| Publicado en: | Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 1 - 9 |
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| Autores principales: | , , , , , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Turkish Journal of Physiotherapy & Rehabilitation
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151005933&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151005933 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13008757 YU1 jtl: Turkish Journal of Physiotherapy Rehabilitation issn: 13008757 maglogo: N pubinfo: dt: 2021 vid: 32 iid: 2 pid: 20392 pub: Turkish Journal of Physiotherapy & Rehabilitation place: Kizilay/ Ankara, <Blank> artinfo: ui: 151005933 151005933 151005933 151005933 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Detection of Two wheelers Helmet Using Machine Learning. aug: au: Prasad, M. V. D. Kumar, E. Kiran Krishna, S. V. N. P. Vamsi Kumar, M. Santosh Harsha, P. Sri Ahammad, Hasane affil: Associate Professor, Department of ECE, KoneruLakshmaiah Education Foundation, Guntur, India- 522502 sug: subj: Machine Learning Head Protective Devices Automobile Driving Videorecording Software Design Mobile Applications Website Development Fees and Charges ab: The following paper came up with a method for detecting motorbike riders with &without a helmet with the help of machine learning, and IoT(Internet of things). Two-wheeler accidents are increasing gradually in all countries. A helmet or a protective cap is the predominant safety equipment of two-wheelers, motorcycle riders, and pillion riders, however many drivers neglect wearing helmets. The main outcome of wearing a helmet is to protect the head of a person travelling on two-wheelers just in case of a major or minor accident or fall from a running bike. We worked on a new approach that priorly collected a dataset of images and videos of road traffic where we collected various kinds of photos like with driver wearing a helmet, a driver without wearing a helmet and also the primary rider is with a hel met and second person without a helmet so and differentiated the 2 wheelers from other heavy and light vehicles like cars and bus on road. This detection of wearing a helmet is done through machine-learning and utilizing a free open-source library cross-platform using which we can develop real-time computer vision applications software called OpenCV. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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