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This research paper focuses on the development and implementation of an IoT-based train detection system aimed at enhancing passenger safety and minimizing accidents. The proposed system addresses the absence of a dedicated train detection system in Sri Lanka, making it an important and timely research topic. A train detection system is an integral component of railway safety, as it allows for real-time monitoring and identification of potential risks along the tracks. However, Sri Lanka currently lacks such a system, leaving passengers vulnerable to safety hazards. Therefore, this research aims to bridge this gap by introducing and implementing an IoT-based train detection system. By leveraging IoT devices, the proposed system enables continuous monitoring and detection of critical events such as unauthorized access to railway tracks, track obstructions, and abnormal train behaviour. Real-time detection of these risks allows for timely interventions, reducing the occurrence of accidents and ensuring passenger safety. The implementation of this train detection system in Sri Lanka holds significant importance. It serves as a catalyst for research and development in the field of railway safety, offering a novel and innovative solution to address the current gaps. By introducing this system, Sri Lanka can enhance its railway infrastructure, improve passenger safety, and serve as a model for other countries facing similar challenges. Through this research, valuable insights will be gained regarding the feasibility, effectiveness, and impact of an IoT-based train detection system in the context of Sri Lanka. The findings will contribute to the body of knowledge on railway safety and provide recommendations for the adoption and adaptation of similar systems in other regions. In conclusion, the implementation of an IoT-based train detection system in Sri Lanka is crucial for ensuring passenger safety and minimizing accidents. This research presents a significant opportunity to address the existing gap, offering a platform for innovation and enhancing the country's railway infrastructure. The findings and recommendations from this study will contribute to the advancement of railway safety globally. [ABSTRACT FROM AUTHOR]