Generally, People use various types of transportation systems to travel from one place to another place. For a safer journey, they mostly rely on public transportation. A larger picture of transportation safety includes a major role for railway accident prevention and protection. In order to prevent or mitigate the frequency as well as severity of such accidents, an Arduino-based safety system is being used. In this research, an IoT based smart system is proposed for preventing train accidents. An ATMega328P microprocessor, ESP32 camera sensors including a flame, ultrasonic as well as PIR sensor are utilized to achieve this system. The blynk application communicates with the IoT Cloud platform through the WIFI-Module, which is employed to share data. Using the impact identification technology ultrasonic sound uses to generate an impact to avoid collision as well as it avoid from a train accident. In order to stop the train before an accident occurs, this technology is utilised to identify the impediment and gradually reduce the train’s speed by applying the air brake. If there are any difficulties, they will be uploaded to the cloud and a monitoring person will be notified through the cloud. The railway industry’s safety systems operate more reliably through this new modelled technology. As a result, the proposed techniques enhance the reliability of safety systems of railway systems.