Published Paper


Advanced Animal Detection and Notification System Using Embedded Technology

1C.Ramesh; 2Sathishkumar T
India
Page: 1113-1121
Published on: 2024 December

Abstract

The smart alert system for railway safety addresses significant challenges in track monitoring and collision prevention by employing advanced technology to overcome the limitations of traditional systems. Conventional railway safety mechanisms often fail to provide real-time detection of trains and obstacles, resulting in delayed responses and an increased risk of accidents. Furthermore, these systems tend to be reactive, responding to incidents only after they occur, rather than proactively preventing them. To bridge this gap, the proposed system integrates state-of-the-art tools and technologies to ensure real-time monitoring and rapid action. It utilizes Python and YOLOv4, a deep learning model renowned for object detection, to process live camera feeds, enabling the system to instantly identify and classify trains, obstacles, or other potential hazards on the tracks. This immediate detection significantly reduces collision risks and enhances safety. The system employs an alarm and an LCD display to deliver timely alerts to relevant personnel, ensuring prompt responses to detected hazards. For communication, it incorporates Node MCU and LoRa modules, which enable efficient and reliable wireless data transmission over long distances, ensuring that critical information reaches intended recipients even in remote areas. Additionally, the system features an L298 motor driver to dynamically adjust train speeds based on real-time track conditions, further reducing risks and optimizing operational efficiency. By integrating these components, the system provides a cohesive and robust framework for real-time monitoring, alerting, and control, transforming railway safety measures from reactive to proactive. This innovative approach not only prevents accidents before they occur but also enhances overall railway operations by improving responsiveness and operational reliability. The system’s ability to process real- time data and automate safety measures establishes a modern, technology-driven framework for a safer and more efficient railway network. This comprehensive solution addresses critical safety concerns, offering significant advancements in railway safety and operational efficiency, and setting a new standard for transportation infrastructure. Through the seamless integration of cutting-edge technologies, the project redefines traditional safety protocols, ensuring a more reliable and proactive approach to railway safety and operations.

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