The solution features a Pluto X drone equipped with a WiFi-enabled camera module. This camera streams live footage to a laptop, where a Python-based algorithm processes the video to identify and highlight objects using bounding boxes. The system creates a compact, mobile, and intelligent reconnaissance tool for real-time feedback in unfamiliar terrains. 

Idea: As part of the Innovation School Residency, this project aims to build a compact drone system capable of flying through closed or urban environments. The drone is equipped with a live video feed and integrates an object detection algorithm that can identify and classify objects in real-time, enhancing reconnaissance capabilities for military urban operations. Project Objectives: Enable live video transmission from the drone to a laptop over WiFi. Implement object detection and classification using a trained dataset. Build a functional, flying drone platform that can navigate complex indoor environments. Display bounding boxes around detected objects for easy identification.