Innovative Design for Industry 4.0
1. Smart Factory & Process Automation
- IoT Integration for Automated Production Systems
- Robotic Process Automation (RPA) for Manufacturing
- AI-Powered Workflow Optimization and Monitoring
2. Predictive Maintenance & Equipment Health
- Condition Monitoring with IoT Sensors
- AI-Driven Fault Detection and Predictive Analytics
-
Real-Time Equipment Diagnostics for Preventive Maintenance
3. Collaborative Robotics (Cobots) & Human-Machine Interaction
- Flexible Human-Robot Collaboration in Manufacturing
- Ergonomics and Safety in Cobots Deployment
-
Intuitive Interfaces for Seamless Human-Machine Interaction
4. AI-Driven Quality Control
- Computer Vision for Automated Inspection
-
Machine Learning for Anomaly Detection and Quality
Prediction
- Data Analytics for Continuous Quality Improvement
5. Real-Time Supply Chain Visibility
- End-to-End Supply Chain Tracking with IoT
- Blockchain for Secure and Transparent Supply Chains
- AI and Analytics for Real-Time Decision Making
6. Sustainable & Green Manufacturing
- Energy-Efficient Production Systems and Equipment
-
Zero-Waste Manufacturing and Circular Economy Practices
- Eco-Friendly Materials and Green Supply Chains
7. Workforce Upskilling & Digital Training
- AR/VR-Based Training for Skill Development
- Digital Platforms for Continuous Learning
- AI-Driven Personalized Learning Paths for Workers
8. Edge Computing & Real-Time Analytics
- Distributed Computing for Faster Decision Making
- Edge Analytics for Manufacturing Process Optimization
- IoT-Enabled Real-Time Data Collection and Processing
9. Aerospace & Defence with Next-Gen Technology
-
Autonomous Systems and UAVs (Unmanned Aerial Vehicles)
- Advanced Materials and Lightweight Structures
-
AI and Machine Learning for Predictive Maintenance and
Operations
Students may select a subtheme of their choice, provided it aligns with the given main theme.
