Inspiration : The project is inspired by the pressing need to protect wildlife from fatal encounters with trains, especially in forested areas where rail tracks cross animal migration paths. The solution aims to create harmony between human infrastructure and animal habitats, promoting safe coexistence and reducing accidents. Understanding the impact of human activity on wildlife, we aimed to develop a preventive system that leverages modern technology to safeguard animals and enhance safety for railway operators.
What it does : The application, named Eco Guardians, continuously monitors animal movements in forested railway areas. Using GPS and RFID tracking, it detects if animals are approaching or entering railway tracks. In such cases, it immediately sends alerts to railway personnel and activates loud alarms positioned along the tracks. These alarms deter animals from the danger zone, directing them to safer paths and reducing the risk of collisions.
How we built it : To build Eco Guardians, we integrated GPS and RFID sensors to track animal positions in real time. IoT technology connects these tracking devices with a central application that issues alerts and controls the alarm system. The application is available on both mobile and web platforms, ensuring accessibility for field teams and monitoring staff. Data analytics processes the tracking information, identifying movement patterns that improve alert accuracy and help to strategically position alarms. Geofencing is implemented to create virtual boundaries that trigger alerts when animals enter critical zones near tracks.
Challenges we ran into : Several challenges emerged during development:
Connectivity Issues: Forest areas often have limited network connectivity, which can delay data transmission and alerts. Animal Habituation: Repeated exposure to the same alarms could lead to animals becoming accustomed to the sounds, reducing deterrence effectiveness. Power Supply for IoT Devices: The remote locations of the devices required reliable power sources, which proved challenging to maintain over extended periods.
Accomplishments that we're proud of : We successfully implemented a real-time tracking and alert system that combines animal monitoring, alert generation, and deterrent alarms. The system has shown potential for reducing wildlife accidents and could serve as a model for similar conservation initiatives. We are also proud of our integration of data analytics, which helps optimize alarm placement and timing, enhancing overall system effectiveness.
What we learned : This project deepened our understanding of wildlife behavior, especially in response to deterrents like sound alarms. We also gained insights into the technological challenges of real-time tracking in remote areas and the importance of adaptive strategies to maintain system effectiveness.
What's next for Eco Guardians in Railways : What's next for Eco Guardians in Railways
The next steps include:
Enhanced Connectivity: Exploring mesh networks and satellite communication to improve data reliability in remote areas. Adaptive Alarm Systems: Implementing variable alarm sounds and frequencies to prevent animals from habituating to the alarms. Expanded Data Collection: Gathering more movement data to refine alert algorithms and further improve animal safety. Community Involvement: Engaging with local communities for feedback, as they play a crucial role in maintaining and benefiting from this solution.
Built With
- aws-iot
- dynamodb
- google-maps
- gps/rfid
- javascript
- mobileandweb
- mqttprotocol
- python
- react
- reactus
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