Over-Crowd Avoiding In Transportation With Face DetectionUsing Raspberrypi

There are several serious risks and difficulties that are associated with overcrowding in India’s metros and city buses. The public may be affected in a variety of ways by these problems. These include risks to ones health, longer travel times, decreased comfort, quality of the trip and safety issues. Some solutions like using IR sensors are used for over-crowd controlling which is mostly inaccurate in counting the number of passengers. By using face recognition technology, some of the issues related to transportation system congestion can be lessened. While addressing the issues related to congestion, face recognition technology can support the safe and effective operation of transportation networks. To precisely count passengers as they enter and exit buses and metros, face recognition systems can relate to ticketing and boarding systems. There are several possible actions that could be taken, like sending out a pulse signal to alert passengers and transportation staff about overcrowding, automatically closing the doors until any passenger requests to get down, or even turning off the ignition system if the overcrowding is not under control. The Raspberry Pi may be used for face detection. Transportation authorities can take the necessary action by using this data to monitor and manage over-crowding in real-time.