Arduino Based Vehicle Seat Vacancy Identification

This project  is used to identify vacant seat in vehicle using image processing technique. One of the most popular parts of image processing technique is face detection. Face detection technique having many applications such as face recognition, people tracking, or photography. In this paper this technique is used for counting and detecting the number of passengers in public vehicle using webcam. In public vehicle webcam is installed and connected with aurdinio  UNO.  When public vehicle leaves from the station webcam will capture passenger’s images in the seating area. The software application is used to adjusting images and improved to reduce the noise. 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 public vehicle. In vehicle the system is used to obtain the maximum number of passengers and processed on the images then calculates the seat vacancy of the vehicle. Keywords: PI Camera, Raspberry Pi, Face detection, Haar-like features, Morphological image processing, Contrast limited adaptive histogram equalization