📦 Package for the Ignition Scripting API version 7.9
Project for the CS-487 Industrial Automation course at EPFL.
Localization of pickable objects from a cluttered bin of objects using a neural network trained on pure synthetic data
Lab exercises for Industrial Automated Systems, covering PLC programming, sensors, Modbus, HMI design, and PID temperature control.
Python package for extracting fieldbus IO data from Wireshark capture files.
Machine to Machine communication framework using OPC UA (Python Server-Client)
An advanced Industrial IoT (IIoT) simulator for Smart Factory 4.0 environments using Python, MQTT, and Docker. Emulates configurable production lines with realistic sensor data (vibration, temperature, quality) and predictive alerts.
PC Speaker TwinCAT 3 Library for Beckhoff x86 based PLCs. Demo player included.
Arduino/C++, Python, & LabVIEW interfaces for controlling ADAM industrial Controllers
These programs use pyModbus package to implement a Modbus client class, GUI for that client and a server. Configuration of client and the server can be done from the register and device configuration xml. The user of the program just needs to modify the xml file and run the server and GUI.
The Databricks Industrial Automation Suite is a comprehensive library designed to support all major industrial automation protocols within the Databricks ecosystem (Databricks Free Edition Hackathon)
Sistema de contagem de garrafas industrial para Raspberry Pi com sensores infravermelhos. Oferece interface web, recuperação automática de falhas e integração com SQL Server. Desenvolvido para ambientes de produção exigentes.
AI-powered maintenance scheduling system using Deep Q-Learning
Multi-Modbus Server Simulation tool with virtual device creation, network scanning, automatic IP assignment, and advanced data simulation (Toggle, Counter) capabilities.
🎯 AI-powered CNC production monitoring: Automatically tracks machining cycles, optimizes efficiency, reduces costs 15-25%. Real-time analytics, predictive maintenance alerts, seamless MES integration. Industrial-grade security, 99.8% uptime. ROI in 6-12 months. Ready for Industry 4.0.
This project is part of the article "Agentic AI for Intent-Based Industrial Automation" submitted to the 16th IEEE/IAS International Conference on Industry Applications.
PID-based Process Control Monitoring using Streamlit & ML. Simulates a first-order system, tracks performance (Rise Time, Overshoot, Settling Time, IAE) & detects anomalies via Isolation Forest. Users can tune PID parameters & visualize real-time behavior. 🚀
Complete production-ready system achieving 94.2% accuracy with YOLOv8 + ResNet-50 ensemble, processing 500+ images/minute with <150ms inference time for automated defect detection in manufacturing environments.
Advanced Condition Monitoring and Remaining Useful Life Prediction Framework using Deep Learning for Industrial Equipment Prognosis and Predictive Maintenance
Add a description, image, and links to the industrial-automation topic page so that developers can more easily learn about it.
To associate your repository with the industrial-automation topic, visit your repo's landing page and select "manage topics."