Robotic Computer Vision Solution
using Aubo 5

Experience seamless pick-and-place tasks through advanced computer vision and AI, transforming operations with smart robotics
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What's the Project's Core Idea ?

Simplify and improve pick-and-place tasks by implementing Python-based computer vision, making the process more efficient and intelligent.

Automation Advancement

Streamlining operations through cutting-edge automation

Python computer vision

Python-based computer vision enhances pick-and-place robots by providing intelligent visual recognition and decision-making capabilities

How AI Helps Pick-and-Place Robots

AI algorithms can be trained to recognize and classify a wide range of objects, allowing the robot to identify items with precision

What's Included

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  • Python OpenCV library
  • Lua robotic computer language
  • Machine learning image classification

Project Overview

Transforming the traditional method of controlling robots for pick-and-place tasks into an automated process. The approach involves implementing machine learning to analyze product images, enabling robots to move autonomously

High-level programming language

Easier and more optimized programming with languages like Python compared to Lua, a robotic language. Python simplifies the process and enhances efficienc

machine learning models

LMaking image classification easy with Google's Machine platform We integrate it smoothly with TensorFlow for more powerful features in machine learning

Smart and Collaborative Robots

Aubo 5, an easy-to-use and manage collaborative robot. With a simple UI for easy control and customization options

TEAM

meet the team
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Hamza Ammar
Maintenance manager || Process development || Robotics || Mechanical designer
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Boudour Bejaoui
Industrial Computing Engineer
Mohamed Dridi
System and Networking Administrator
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Github The place where i Fork

In the coming days, we plan to upload the entire project to our GitHub repository, creating an open and accessible space for everyone interested. This initiative aims to foster collaboration, allowing individuals to not only share the project but actively contribute to its improvement. Your involvement can play a pivotal role in enhancing the capabilities of the project, making the entire process more robust and powerful over time.