A Novel Approach for Blind Turn Detection to Avoid Accident

Abstract

In India, the number of road accidents and deaths due to sharp turns and blind turns has steadily increased over the years. Visibility is greatly reduced due to sharp turns. Also, on a blind bend, approaching vehicles tend to crash into each other due to lack of visibility over other vehicles. Such a situation increases the demand for wide availability of various information and communication technologies in road networks to prevent vehicle accidents. In this paper, we designed a system based on the integration of various modules such as Zigbee module, long-range ultrasonic distance sensor, PIC microcontroller, LED lamp, etc. to avoid vehicle collision due to fog and blind corner. The purpose of the system is to give a signal in confusing corners when vehicles are approaching each other and to warn the driver in the event of a turn. This system includes a set of sensors, a control unit and a monitoring platform. This system uses ultrasonic sensor communication, which results in providing alerts with minimal latency. System performance may vary depending on operating conditions, so it should be calibrated accordingly.