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

• 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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