Review On Image Processing Application For Vehicle Seat Vacancy Identification
| Author(s) | : | Nikita A. Rekhate, Dr. V. S. Gulhane |
| Institution | : | Information Technology, Sipna college of engineering and technology, Amravati |
| Published In | : | Vol. 4, Issue 11 — November 2017 |
| Page No. | : | 1101-1103 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Image processing technology is incredibly popular at present. It can be applied to several applications fordetecting and processing the digital images. Face detection is a chunk of image processing. It is worked for discoveringthe face of human in a certain area. Face detection is operated in numerous applications such as face recognition,people tracking, or photography. Face detection technique is operated for identifying and calculating the number ofpassengers in electric vehicle through webcam. The webcam is fixed in electric vehicle and linked with Raspberry Pi 2model B. When electric vehicle go away from the station, webcam will take passenger’s images in the seating area. Theimages will be adjusted and enhanced to shrink the noise which is completed through software application. The imagesare conveyed to the server through 3G communication. At that moment, the server process the images via face detectiontechnology and calculating the amount of passengers in electric vehicle. The system gains the maximum number ofpassengers in electric vehicle that process through the images at that moment calculates the seat vacancy of the electricvehicle
Nikita A. Rekhate, Dr. V. S. Gulhane, “Review On Image Processing Application For Vehicle Seat Vacancy Identification”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 1101-1103, November 2017.
