Abstract

The Design of Gesture Controlled Arm project aims to explore the potential of gesture control technology in robotics by designing a functional and reliable robotic arm that can be controlled using hand gestures. The system will use machine learning algorithms and computer vision techniques to recognize and interpret hand gestures, allowing users to control the arm's movement and perform a variety of tasks, such as picking and placing objects. The project will involve designing and fabricating the robotic arm, developing the gesture recognition system, and integrating the two systems to create a cohesive and efficient solution. The project's outcome will demonstrate the practical application of gesture control technology in robotics, potentially opening new avenues for automation in various industries. The project's success will also provide valuable insights into the design and development of advanced robotic systems, paving the way for future advancements in the field.

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