The
importance of embedded applications on image and video processing domain has
been taking a larger space. The image processing is the study of several
algorithms that takes an image as input and returns an image as output.
Specially we would like to elaborate our experience on the significance of
computer vision as one of the domains where hardware implemented algorithms
executes far better than those implemented from end to end software. Face
detection is becoming one of the maximum interesting topics in the computer
vision literature. The survey is directed to examine the face detection
techniques. Image processing techniques is very widely held at present-day
for face detection and gender detection. In this study, face detection
technique is used for detecting and counting the number of passengers in
electric vehicle over webcam. The webcam is installed in electric vehicle and
attached with Raspberry Pi 2 model B. When electric vehicle run off from the
station, webcam will capture passenger's images in the seating area. The
images will be adjusted and enhanced to decrease the noise which is concluded
by software application. The images are sent in the direction of the server
by 3G communication. Then and there, the server progression the images by
means of face detection technology and counting the number of passengers in
electric vehicle. The system gets the supreme amount of passengers in
electric vehicle that procedure over the images then evaluates the seat
vacancy of the electric vehicle. Nikita A. Rekhate | Dr. V. S.
Gulhane"Image Processing Application for Vehicle Seat Vacancy
Identification" Published in International Journal of Trend in
Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 |
Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12797.pdf
http://www.ijtsrd.com/computer-science/other/12797/image-processing-application-for-vehicle-seat-vacancy-identification/nikita-a-rekhate |
