A Novel Real-Time Helmet Wearing Detection Technique of Motorcyclists Using Fine-Tuned YOLOv8 Model for Indian Urban Road Traffic
A Novel Real-Time Helmet Wearing Detection Technique of Motorcyclists Using Fine-Tuned YOLOv8 Model for Indian Urban Road Traffic
- Neue Suche nach: Prusty, Sambit
- Weitere Informationen zu Prusty, Sambit:
-
https://orcid.org/http://orcid.org/0009-0008-8949-5316
- Neue Suche nach: Nayak, Swayam Ranjan
- Weitere Informationen zu Nayak, Swayam Ranjan:
-
https://orcid.org/http://orcid.org/0009-0007-9363-0106
- Neue Suche nach: Barik, Ram Chandra
- Weitere Informationen zu Barik, Ram Chandra:
-
https://orcid.org/http://orcid.org/0000-0002-2803-5868
- Neue Suche nach: Kaur, Harkeerat
- Neue Suche nach: Jakhetiya, Vinit
- Neue Suche nach: Goyal, Puneet
- Neue Suche nach: Khanna, Pritee
- Neue Suche nach: Raman, Balasubramanian
- Neue Suche nach: Kumar, Sanjeev
- Neue Suche nach: Prusty, Sambit
- Weitere Informationen zu Prusty, Sambit:
-
https://orcid.org/http://orcid.org/0009-0008-8949-5316
- Neue Suche nach: Nayak, Swayam Ranjan
- Weitere Informationen zu Nayak, Swayam Ranjan:
-
https://orcid.org/http://orcid.org/0009-0007-9363-0106
- Neue Suche nach: Barik, Ram Chandra
- Weitere Informationen zu Barik, Ram Chandra:
-
https://orcid.org/http://orcid.org/0000-0002-2803-5868
Motorcycle is a rapidly growing industry. But it has maximum fatal rate of accidents than heavy vehicles. Above 37 million of people in India use motorcycle for transportation. Out of all the road accidents happening in India approximately 45% of accidents are caused by motorcycles and among them 32% of accidents are caused due to not wearing helmets. With the heavy traffic condition, the road transport authority essentially require automation model to detect wearing helmet of two wheelers and penalize if any violation of laws. This paper addresses such problem of heavy Indian urban road traffic conditions and proposed a fine-tuned deep learning based YOLOv8-SS2 helmet wearing detection technique. This model classifies helmet and non-helmet riders. The proposed model outperforms while comparing with existing literature having high accuracy of 95% and Mean Average Precision (m-AP) of 99%.
Dokumentinformationen
A Novel Real-Time Helmet Wearing Detection Technique of Motorcyclists Using Fine-Tuned YOLOv8 Model for Indian Urban Road Traffic
Communic.Comp.Inf.Science
International Conference on Computer Vision and Image Processing ; 2023 ; Jammu, India November 03, 2023 - November 05, 2023
2024-07-03
17 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Helmet Detection , Person Detection , Bike Detection , You Only Look Once (YOLOv8) , Open-cv , Mean Average Precision (m-AP) Computer Science , Computer Imaging, Vision, Pattern Recognition and Graphics , Artificial Intelligence , Computer Communication Networks , Computers and Education , Computer Applications
Ähnliche Titel
Are helmet laws protecting young motorcyclists?
| Elsevier | 2007
Are helmet laws protecting young motorcyclists?
| Online Contents | 2007
Motorcyclists helmet noise - measurement and attenuation
| Kraftfahrwesen | 1994