MicroCam - A Low-Power and Privacy Preserving Multi-modal Sensor Platform for Occupancy Detection

Overview

Discover how MicroCam's innovative multi-modal sensor platform uses AI and IoT technology to detect residential occupancy, enabling energy-efficient HVAC control while maintaining privacy and operating on battery power.

Syllabus

• Introduction to MicroCam
Overview of MicroCam's platform
Importance of occupancy detection in smart homes
• Fundamentals of Multi-modal Sensors
Types of sensors used in MicroCam
Sensor data fusion for accurate detection
• AI Techniques for Occupancy Detection
Machine learning algorithms for sensor data analysis
Use of neural networks in MicroCam
• IoT Integration and Communication
Connectivity protocols for IoT devices
Data transmission and synchronization in low-power environments
• Energy-Efficient HVAC Control
Strategies for linking occupancy detection with HVAC systems
Case studies on energy savings and efficiency
• Privacy Preservation in Occupancy Detection
Data anonymization methods
Ethical considerations and compliance with privacy standards
• Battery Power Optimization
Power management techniques for sensor platforms
Battery life extension strategies
• Practical Implementation
Setting up a MicroCam system
Hands-on project: Building a simple occupancy detection prototype
• Case Studies and Applications
Real-world deployment examples
Future trends and innovations in smart home technologies
• Summary and Key Takeaways
Recap of course content
Discussion on the future of AI and sensor platform integration in smart homes

Subjects

Programming