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Opencv Robotic Arm

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Updated Project: I added Gesture control
A robotic arm system that runs on Python and uses computer vision to track hands in real time. The system uses a camera to pick up on human hand gestures, then uses landmark detection algorithms to turn …

Updated Project: I added Gesture control
A robotic arm system that runs on Python and uses computer vision to track hands in real time. The system uses a camera to pick up on human hand gestures, then uses landmark detection algorithms to turn those gestures into exact movements of the robotic arm. To make things more stable, reduce jitter, and make everything more responsive, advanced filtering and motion prediction techniques are used.

This project uses AI

Claude used in Readme

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arnav.upadhyay40

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I learned how to make software and hardware work together in real time. It’s very important to calibrate and test because even small mistakes in data can cause big problems in movement. I also learned that the first step is to build something that works; the real challenge is to make it smooth and accurate.
Don’t expect it to work perfectly the first time you try to build something like this. That’s how real projects are made: keep testing, keep improving, and be patient.

arnav.upadhyay40

Using OpenCV + MediaPipe for hand tracking and Arduino + servo motors for execution, I made a robotic arm that copies real-time hand movements. We started by finding hand landmarks, then we mapped gestures to servo angles and added serial communication to control the arm. We had to deal with problems like jitter, calibration, and latency, but we made the system work better so that motion was smoother and more responsive. The current prototype can successfully copy basic hand gestures in real time.

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