What You Need to Know Before
You Start
Starts 7 June 2025 13:01
Ends 7 June 2025
00
days
00
hours
00
minutes
00
seconds
22 minutes
Optional upgrade avallable
Not Specified
Progress at your own speed
Free Video
Optional upgrade avallable
Overview
Discover how AI transforms indoor positioning paradigms, focusing on traffic patterns and population density in buildings and subway stations, with practical applications and real-world case studies.
Syllabus
- Introduction to AI-based Positioning Technologies
- Fundamentals of Indoor Positioning
- AI Techniques in Positioning Systems
- Population Density Analysis
- Case Studies on AI in Positioning
- Practical Tools and Frameworks
- Challenges and Future Trends
- Project Work
- Conclusion
Overview of Traditional vs. AI-based Positioning
Importance and Applications of AI in Location Services
Key Concepts and Technologies
Role of AI in Enhancing Accuracy and Precision
Machine Learning Algorithms for Location Detection
Deep Learning Models for Traffic Pattern Analysis
AI Tools for Monitoring and Analyzing Crowd Density
Impacts on Building Management and Safety
Real-world Applications in Subway Stations
Success Stories and Lessons Learned
Popular AI Platforms for Positioning Technologies
Hands-on Workshop with Positioning Software
Technical and Ethical Considerations
Future Directions in AI-driven Positioning Systems
Designing an AI-based Solution for a Real-world Positioning Problem
Group Presentations and Peer Feedback
Summary of Key Learnings
Open Discussion on Emerging Technologies and Innovations
Subjects
Programming
