UAV Facial Detection Simulation Development

About the project

I need a developer to create a simulation-based UAV/drone facial detection and tracking system. I am not building or flying a real drone. The aim is to create a software simulation where a virtual drone camera moves through an environment and detects/tracks human faces from the camera feed. The project should be easy to understand, realistic to complete quickly, and use free or low-cost software. The preferred approach is: Option 1 — Best/easiest preferred route: Use Webots for the drone/3D simulation, with a virtual camera attached to a simulated UAV. Then use Python + OpenCV + MediaPipe or another lightweight face detector to detect and track faces from the simulated camera feed. Option 2 — Acceptable simpler route: If Webots is too difficult, create a simplified Python/OpenCV simulation using UAV-style video footage or a custom 3D/animated environment that simulates a drone camera moving above/around people. It still needs to clearly look like a drone-camera facial detection/tracking demo. The system should include: • A simulated UAV/drone camera view • Face detection from the simulated camera feed • Face tracking across frames • Bounding boxes around detected faces • Basic tracking IDs if possible • Output video showing the detection/tracking results • Performance results such as FPS, number of faces detected, detection confidence if available, and tracking stability • Screenshots of the simulation and detection output • Clear setup instructions so I can run it myself The final delivery must include: 1. Working source code o Python scripts o Any Webots world/project files if used o Requirements file, e.g. requirements.txt o Clear folder structure 2. Step-by-step documentation o Exactly what software was installed o Which websites were used o How the simulation was created o How the virtual drone/camera was set up o How the face detection/tracking code works o How to run everything from start to finish o Include screenshots at each major stage 3. Final outputs o Annotated output video showing faces being detected/tracked o Screenshots of the running simulation o Screenshots of the Python/OpenCV detection output o CSV or simple results file showing FPS/detections per frame if possible o A short explanation of limitations and possible improvements Suggested software/websites: • Webots: for the drone/robot simulation • Python: main programming language • OpenCV: video processing and drawing bounding boxes • MediaPipe Face Detection or OpenCV YuNet: face detection • NumPy / Pandas / Matplotlib: for results and graphs • VS Code: code editor • GitHub or ZIP folder: for final code delivery Important requirements: • Please keep the project simple and practical. • Do not make it depend on expensive hardware. • Do not use paid APIs. • Do not require a real drone. • Use clear comments in the code. • The simulation and code must be easy for a beginner/intermediate student to run. • The project should be completed in a way that can be explained clearly with screenshots and a written technical breakdown. I need someone who can provide both the working simulation/code and a detailed explanation of exactly what they did, including screenshots and setup steps.

Skills required