Unmanned Aerial Vehicle for Search, Rescue, and Evacuation Using Deep CNN Detection
Software as a Service
NoCategory
AI & Machine LearningClients
Techstack
Purpose
A Mapua University project to develop a drone-based system that automatically detects humans and animals using a deep CNN detector, giving search, rescue, and evacuation operations an aerial vantage point with reliable automated detection.
Description
A DJI Tello drone streams its camera feed to a Python application that runs a YOLOv5 deep CNN model through PyTorch, detecting humans and animals in real time. OpenCV processes each frame while a Pygame interface displays the live feed with detection overlays and handles flight control input. The system timestamps and records detections, allowing rescue teams to survey areas from the air and locate subjects faster than ground-based searching alone.
