Vehicle Seat Vacancy Identification using Image Processing Technique

Image processing technology is very popular at present. It can be applied to various applications for detecting and processing the digital images. Face detection is a part of image processing. It is used for finding the face of human in a given area. Face detection is used in many applications such as face recognition, people tracking, or photography. In this research, face detection technique is used for detecting and counting the number of passengers in electric vehicle via webcam. The webcam is installed in electric vehicle and connected with Raspberry Pi 2 model B. When electric vehicle leaves from the station, webcam will capture passengers images in the seating area. The images will be adjusted and improved to reduce the noise which is done by software application. The images are sent to the server via 3G communication. Then, the server process the images by using face detection technology and counting the number of passengers in electric vehicle. The system obtains the maximum number of passengers in electric vehicle that process through the images then calculates the seat vacancy of the electric vehicle.