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上传时间: 2019-10-03
详细说明： 一种人工职能的机械臂的实物report。The intelligent classification robotic arm is an automated system that can automatically capture and classify objects. It uses PC as control system to realize automatic recognition and classification of objects through deep learning. It has real-time synchronization, controllability and intelligence. CNN Intellig ent robotic arms are high-tech automated production equipment that can be programmed to perform a variety of expected tasks. The goal of this technology is to be applied in the machinery industry, which includes simple, repetitive or harsh conditions. Using intelligent arms to replace human labor improves work efficiency, which is why they have been widely used in various fields. In this project, the design of an intelligent classification robotic arm based on STM32 microcontroller is introduced. We combine the robotic arm with an image classification algorithm based on deep learning. On the PC end, we use the Convolutional Neural Network (CNN) to classify images and control the arm by coordinating STM32 microcontroller with the PC to achieve the objectives. In this design, we use a camera to capture the object, and realize image classification using the trained convolutional neural network. The PC then sends commands to the robot arm through serial communication, which completes item transfer. In this paper, we first introduce the various hardware and algorithms applied in the system in detail, and propose specific implementation schemes. Next, we show the test results for the entire project and analyze the test results to arrive at some of the causes of the errors. The design can be applied to industrial environments to complete different classification problems, reduce human burden, and improve classification accuracy and efficiency. With adjustments, this project will hold a wide application prospect for the development of intelligent societies in the future.
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