Smart Factory Automation 🤖

This project is a smart factory automation system that uses IoT, AI, and robotics to improve manufacturing processes. Here's how it works:

Overview

1. Data Collection: We use IoT sensors placed around the factory to monitor important information, such as:

   • Temperature
   • Vibration levels
   • Machine speed

2. Data Analysis: The collected data is sent to an AI system that analyzes it to look for any unusual patterns. For example, if the temperature of a machine gets too high, it might indicate a problem.

3. Robot Control: If the AI detects an issue, it sends commands to robots on the factory floor. For example, it might tell a robot to stop a machine or replace a faulty part.

4. Real-Time Operation: The system runs continuously, collecting data and responding to any issues in real time, which helps prevent machine breakdowns and improves overall efficiency.

How to Use

1. Build the Project: Use cargo build to install the necessary tools and compile the code. It is necessary have Rust installed.
2. Run the System: Start the program, and it will begin collecting data from the IoT sensors and controlling the robots based on the AI analysis.

Technologies Used

• Tokio: A library for handling asynchronous tasks.
• Serde: A library for processing data.
• ROS2 Client: Library is API that allow users to implement ROS 2 code in various programming languages.