Vehicle seat vacancy identification using image processing technique.

A task to identify occupied seats in government buses for passengers emerges in the digital communicating world. In this project, the second stage is verifying a system with tagged seat sense and a camera for detecting whether the seat is occupied. It sees the availability or occupancy status of seats in any coach. In this work, detection of face overcomes the drawback caused due to seat sensor that indicates the seat is occupied when any objects are placed. The camera is inserted in the buses, connected with Raspberry Pi 3 B+ microcontroller. When the vehicle starts from its corresponding station, the images of people traveling are captured, adjusted, and improved by software communication. The transferred images are processed to count the commuters in the vehicle to find the vacancy of seats so that the passengers waiting in various stops can monitor the seat is available or not. [ABSTRACT FROM AUTHOR]