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Autonomous Robotic Arm With Image Processing + Deep Neural Network and Arduino.

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Autonomous Robotic Arm

Autonomous Robotic Arm With Image Processing + Deep Neural Network and Arduino.

workings

  • The camera on top takes pictures and send it to the connected server.
  • The collected picture is processed via the OpenCV library and an contour map of the image is outputted.
  • The contour map is feed into the Deep Neural Network and an Object is detected.
  • DNN returns the object coordinates.
  • The Inverse Kinematics Engine translates these coordinate into the robotic arm motor movements(degrees by which the arm should move).
  • Then the Server Relays the movements to the robotic arm's arduino chipset.
  • This concludes movement of the robotic arm.

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Autonomous Robotic Arm With Image Processing + Deep Neural Network and Arduino.

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  • Processing 58.7%
  • Python 30.7%
  • C++ 10.6%