Learn how to track objects using OpenCV on the Jetson Nano with a camera mounted on a servo-controlled pan-tilt system. Explore hardware setup, including camera options and servo components. Implement object recognition and camera movement to keep the target centered. Follow along with code setup in Visual Studio, importing libraries, and running the program. Troubleshoot common issues, fine-tune tracking parameters, and optimize the control system for improved stability and reduced jitter.
AI on the Jetson Nano - Tracking an Object with Servos in OpenCV
Overview
Syllabus
Intro
Demonstration
Troubleshooting
Setting up Visual Studio
Setting up Top Tech Boy Calm
Importing into Visual Studio
Running the program
Adding the servos
Setting up track bars
Running the code
Step through the contours
Center of the object
Tuning
Break
Good Bad News
Fixing the Problem
Testing
Stability
Control System
Fixing jitter
Taught by
Paul McWhorter
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