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Beijing Zunxiang Technology Co., Ltd

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    809, Building 4, Financial Street (Chang'an) Center, No. 26 Chengtong Street, Shijingshan District, Beijing

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AI Vision Artificial Intelligence Agricultural Robot Teaching Platform

NegotiableUpdate on 05/06
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Overview

The agricultural robot teaching platform adopts an in-depth customized host with the edge computing module Jetson Nano as the core, and is equipped with Ubuntu 18.04 and ROS system. The software function package with rich functions is preset, which can realize the chassis motion control, laser radar data acquisition, manipulator control, depth camera and USB camera data acquisition and other functions with the high-performance four-wheel drive chassis and heavy load multi degree of freedom manipulator.

Product Details

Agricultural Robot Teaching PlatformThe in-depth customized host with the edge computing module Jetson Nano as the core, the Ubuntu 18.04 and the ROS system, the software function package with rich functions, the high-performance four-wheel drive chassis and the heavy load multi degree of freedom mechanical arm, can realize the chassis motion control, laser radar data acquisition, mechanical arm control, depth camera and USB camera data acquisition and other functions.

  Agricultural Robot Teaching PlatformBuilt in YoloV5 object detection and semantic segmentation deep learning networks, combined with irrigation control systems, fruit specific fixtures, and other accessories, can easily achieve multiple competition tasks such as agricultural picking, irrigation, pollination, and plant protection in A-class competitions. It can be used as a specialized platform and teaching solution for courses and competition training in smart agriculture, artificial intelligence, robotics engineering, and other fields.

Product feature 1: Jetson Nano artificial intelligence host with sufficient computing power

Product Feature 2: Suitable for multiple agricultural scenarios and versatile use

Product feature 3: Artificial intelligence and machine vision cases should be comprehensive

Product feature 4: independently developed STM32F407 motion controller with abundant resources

Product feature 5: Supports A-class events

Supporting Course 1: Machine Vision

Supporting Course 2: Deep Learning

Supporting Course 3 ROS+Deep Learning

AI视觉人工智能农业机器人教学平台