Mpowerr HECMS
Human-Elephant Conflict Mitigation System: An AI-Powered Solution for Sri Lanka.
Introduction
The human-elephant conflict is a persistent issue in Sri Lanka, where elephants are integral to the country’s natural beauty and tourism industry. Due to this conflict, several lives and properties have been lost in rural areas of the country. The Sri Lankan government has been using electric fences to prevent elephants from entering villages, but it is unreliable.
An Artificial Intelligence-based Human Elephant Conflict Mitigation System has been developed to address the persistent issue of human-elephant conflict in Sri Lanka. The system employs CCTV cameras and wildlife camera traps to detect elephants in video frames and subsequently sends early warning messages to the corresponding village authorities to take appropriate actions.
The system is designed to provide efficient results during the day and nighttime, and it includes features like elephant detection, early warning SMS/email, and a HECMS Management System dashboard. The system also updates the conflict information in the database to be analyzed by the conflicts management team.
The system aims to lead Sri Lankan communities in technology to be more powerful and productive to have beautiful lives for everyone. The ultimate goal of this project is to mitigate human-elephant conflicts and promote a sustainable solution for the issue.
Features
- Real-Time Elephant Detection: Utilizes AI algorithms to identify the presence of elephants promptly.
- Early Warning Notifications: Sends immediate alerts to local communities when elephants are detected nearby.
- Data-Driven Insights: Collects and analyzes data to understand patterns in elephant movements and human-elephant conflicts.
- Scalable Architecture: Designed to be implemented across various regions facing human-elephant conflict challenges.
License
This project is licensed under the Apache License 2.0, a permissive open-source license that allows for wide use and collaboration. This license promotes innovation and transparency by granting users the freedom to use, modify, and distribute the software while ensuring that proper credit is given to the original authors. By contributing to this project, you agree to abide by the terms of the Apache License 2.0.
Teck Stack
- Python
- MySQL
- Laravel
- TensorFlow
- Keras
- OpenCV
Visual Overview
Project Assets
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