In this project, I use the target lock program I developed some months earlier on a drone prototype. This will allow the user to select a target from the drone's video feed for it to lock onto and autonomously follow. This project involved simplifying and making the program lighter for use with edge computing on an onboard Raspberry Pi aswell as developing a method for the drone to autonomously follow the selected target.

ME 164 centered on mastering CAD modeling techniques within Siemens NX to create  3D models as well as implementing advanced GD&T principles, tolerancing, and manufacturing methods to create professional engineering drawings.

This project uses a YOLO object detection model with a manual targeting box to let a user acquire, lock, and track objects in live or recorded video 

I built my FPV drone through a hands-on, iterative process of selecting compatible components, assembling and soldering the electronics, and configuring the flight controller. I tested and refined the system by troubleshooting issues and tuning performance, which strengthened my understanding of electronics integration and system-level problem solving.