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Study mode:
on
1
Intro
2
Demonstration
3
Troubleshooting
4
Setting up Visual Studio
5
Setting up Top Tech Boy Calm
6
Importing into Visual Studio
7
Running the program
8
Adding the servos
9
Setting up track bars
10
Running the code
11
Step through the contours
12
Center of the object
13
Tuning
14
Break
15
Good Bad News
16
Fixing the Problem
17
Testing
18
Stability
19
Control System
20
Fixing jitter
Description:
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

Paul McWhorter
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