The Now and Future of Integrated Imaging and Sensor Technologies
Bridge the gap between digital intelligence and the physical world. This intensive, hands-on course unites imaging systems, machine learning, and physical AI to help you build end-to-end vision workflows.
From data acquisition to real-time insight, you will master the technologies driving the next generation of automation, healthcare, and creative practice. Hosted in the state-of-the-art MIT.nano Immersion Lab, this program moves beyond theory. You will design multi-sensor pipelines, train vision models, and deploy edge inference systems that see, understand, and act.
Whether you work in MedTech, Smart Manufacturing, or Immersive Technologies, this course provides the tools to create intelligent systems that interact with physical reality.
Course Curriculum
This program features extensive lab work and case studies. You will engage with real-world datasets across five tightly integrated modules.
Day 1: Imaging Systems and Sensor Fusion
- Introduction to imaging modalities and hardware.
- Principles of sensor fusion across different domains.
- Lab: Building a multi-sensor acquisition pipeline and integrating streams.
Day 2: Computational Imaging and ML Techniques
- Machine learning imaging pipelines.
- Deep dive into segmentation, tracking, and supervised learning models.
- Lab: Training and evaluating ML models for vision tasks.
Day 3: Visualization and Interaction
- Visual analytics for complex data.
- Designing human-in-the-loop systems.
- AR/VR interfaces for vision data.
- Lab: Creating interactive visualization tools and XR overlays.
Day 4: Physical AI and Real-Time Systems
- Embedded systems and edge computing fundamentals.
- Developing real-time systems for vision applications.
- Case Studies: Deep dives into MedTech and smart factory implementations.
Day 5: Capstone Integration
- End-to-end workflow design and deployment.
- Final project presentations demonstrating a functional intelligent imaging system.
- Group feedback and roadmap for future implementation.
The Immersion Lab Experience
You will learn in the MIT.nano Immersion Lab, a unique facility dedicated to visualizing, understanding, and interacting with data. The course utilizes a wide range of hardware, including:
- Optical, ultrasound, and depth cameras.
- Motion capture systems.
- Physiology sensors.
- VR/AR headsets.
You will leave this course with a working capstone project, reusable code notebooks, workflow templates, and a clear roadmap to deploy these technologies in your own organization.
