ABSTRACT In industries, difficult work is being decreased everywhere scale to expand effectiveness and exactness, and gain benefit by introducing robots that can do repetitive works at lesser expense of preparing. A onetime establishment of such a gadget may cost an enormous sum at first, yet in the more drawn out run, will end up being more beneficial than difficult work. Out of the part, a basic robotic arm is a standout amongst the most generally introduced machines. Robotic arm is one of the significant undertakings in the present computerization industry. Automated arm is a piece of the mechatronic industry which is a quickly versatile and developing industry today. Distinctive changes and extra features are being associated with the first kind of straightforward robotic arm to upgrade its ease of use under various conditions. In this paper, we are building up a robotic arm which will have a free rotation around multiple axes and we are including the technology of Image Processing with it to make it a visual signal based working robotic arm. The model is a pick and place robotic arm you can take the desired article starting with one place and carry it to another place with its gripper claw. The operations will be constrained by a visual processing framework that reads the gestures and will give directions to the Arm for performing various types of movements and tasks. We are making use of low torque servos to lift light weight.

中文翻译：

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手势和语音识别助手机器人

摘要 在工业中，为了扩大有效性和准确性，并通过引入可以以较低准备成本进行重复性工作的机器人来获得收益，因此各地都在减少困难的工作。一次性建立这样的小工具起初可能会花费巨额资金，但在更长时间的运行中，最终将比困难的工作更有益。在零件之外，基本的机械臂是最普遍引入的机器中的佼佼者。机械臂是当今计算机化行业的重大事业之一。自动化手臂是机电一体化行业的一部分，该行业是当今快速发展的多功能行业。独特的变化和额外的功能与第一种简单的机械臂相关联，以提高其在各种条件下的易用性。在本文中，我们正在构建一个可以围绕多个轴自由旋转的机械臂，我们正在将图像处理技术纳入其中，使其成为基于视觉信号的工作机械臂。该模型是一个取放机械臂，您可以从一个地方开始拿起所需的物品，然后用它的夹爪将其搬运到另一个地方。操作将受到视觉处理框架的约束，该框架读取手势并将向 Arm 提供指示以执行各种类型的运动和任务。我们正在利用低扭矩伺服系统来提升重量。该模型是一个取放机械臂，您可以从一个地方开始拿起所需的物品，然后用它的夹爪将其搬运到另一个地方。操作将受到视觉处理框架的限制，该框架读取手势并将为 Arm 提供指示以执行各种类型的运动和任务。我们正在利用低扭矩伺服系统来提升重量。该模型是一个取放机械臂，您可以从一个地方开始拿起所需的物品，然后用它的夹爪将其搬运到另一个地方。操作将受到视觉处理框架的限制，该框架读取手势并将为 Arm 提供指示以执行各种类型的运动和任务。我们正在利用低扭矩伺服系统来提升重量。