commit b872232c0f0cf287d498879336217cd6016e8a96 from: espejo got date: Wed Oct 23 00:53:11 2024 UTC README legible (generado automáticamente desde README.md; no está en el repo original) commit - 7852cccb5dd074eef9f30057416d0eaa32f39cdf commit + b872232c0f0cf287d498879336217cd6016e8a96 blob - /dev/null blob + 53c37301bcf1f0cb0583c50126eeae7f4c9f8b3e (mode 644) --- /dev/null +++ README.txt @@ -0,0 +1,18 @@ +Human-Detection-Using-Drone-During-Disasters + +This project focuses on detecting humans in disaster scenarios using three +different methods. The system is designed to send a message to a predefined +number whenever a human is detected. The detection methods include: + +Live Camera Feed: Utilizes the laptops live camera to detect humans in +real-time. AI-Generated Dataset: Employs a custom dataset simulating people +trapped in earthquake scenarios to train AI models for human detection. +Drone Footage: Analyzes video recorded by a DJI Naza M Lite drone to +identify humans in the footage. We used Vonage for sending messages and +Visual Studio for project development. The objective of this project is to +enhance disaster response times by promptly alerting rescuers to the +presence of humans in disaster-stricken areas. + +In each scenario, the software sends an alert message to a predefined +number upon detecting a human, ensuring a faster response in disaster +situations.