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A Framework for Real-Time Accident Prevention using Deep Learning
| Content Provider | Scilit |
|---|---|
| Author | Kaur, Pashmeen Tripathi, K. C. Sharma, M. L. |
| Copyright Year | 2021 |
| Description | Introducing a real-time accident prevention system that modern technologies bring to life, this chapter discusses the importance of a road-accident prevention system, goes through some statistics and facts, and then, looks through the needs for such a system today. A brief uptake on how drowsiness is an incitement to such accidents and how the detection of it at an early stage can save the lives of people, the chapter discusses the algorithm of the proposed system as implementing Computer Vision and Deep Learning Neural Networks while walking the reader through the steps of creating such a system, and through all the user requirements that make such a system a necessity. Finally, the system's testing result metrics are presented. Thus, this chapter quickens readers' understanding of the importance of such a system, helps them to create one, and provides ways and means to analyze it critically. Book Name: Disruptive Technologies for Society 5.0 |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9781003154686-19&type=chapterpdf |
| Ending Page | 337 |
| Page Count | 11 |
| Starting Page | 327 |
| DOI | 10.1201/9781003154686-19 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-09-23 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Disruptive Technologies for Society 5.0 Accident Prevention Neural Readers Prevention System Time Accident |
| Content Type | Text |
| Resource Type | Chapter |
