Back
Master Multi-Camera Vision for 3D AI Systems

Learn to calibrate multiple sensors simultaneously - with precision and confidence.

Unlock the power of stereo vision, camera calibration, depth estimation, and multi-view 3D reconstruction. Designed for computer vision engineers, researchers, and AI developers working with real-world vision pipelines.

Course Description

The “Multi-Camera Vision: Stereo, Depth, Calibration, Synchronization & 3D Reconstruction” course is designed for engineers, researchers, and enthusiasts who want to master advanced vision systems that go beyond single-camera setups. This course dives deep into the core concepts and real-world implementations of multi-camera systems, exploring stereo vision, epipolar geometry, depth estimation, intrinsic and extrinsic calibration, and hardware/software synchronization. You will learn how to design, calibrate, and deploy multi-camera setups using stereo cameras (e.g., ZED, Intel RealSense), RGB-D devices, and AI-powered depth systems. Whether you’re building AR/VR pipelines, autonomous vehicle perception modules, or robotics navigation systems, this course equips you with the practical skills to engineer robust 3D perception from multiple viewpoints. It includes hands-on projects, practical datasets, and exposure to real calibration challenges, ensuring you’re ready for real-world deployment. By the end of this course, you will confidently build stereo pipelines, perform triangulation, align temporal frames, and experiment with cutting-edge neural approaches like MVSNet—all while working with actual camera feeds and calibration boards.

Course Highlights

📘 10+ Expert Modules Step-by-step, real-world-focused training from fundamentals to advanced 3D vision systems.
🎥 10+ Hours of Video Lectures High-quality, instructor-led sessions with real coding walkthroughs and visual explanations.
🛠️ Projects & Case Studies Build stereo rigs, depth pipelines, and 3D reconstruction systems using real-world datasets.
🔬 AI-Powered Depth Estimation Explore deep learning models like MVSNet, StereoNet, and others in real projects.
🧪 Hands-on Lab Access Optional remote/physical access to multi-camera sensors and calibration boards at MatPixel Lab.
📊 Calibration, Sync & 3D Techniques Learn intrinsic/extrinsic calibration, timestamp syncing, triangulation, and epipolar geometry.
📜 Certificate of Completion Highlighting your project areas and real-world implementation skills in vision systems.
🙋 Support & Mentorship Ask questions via email/forum and access 1:1 mentorship slots for deeper guidance.

📚 Course Modules Overview

Introduction to Multi-Camera Vision
Camera Geometry & Epipolar Constraints
Multi-Camera Calibration: Intrinsic & Extrinsic
Stereo Vision & Depth Estimation
Camera Synchronization Techniques
Working with Real Hardware (ZED, RealSense, OAK-D)
AI-based Calibration & Deep Stereo Learning
Project Implementation & Deployment
Future Trends and Industry Challenges

Learning Outcomes

  • 📌 Understand Stereo Geometry and Epipolar Constraints
  • 📌 Perform Intrinsic & Extrinsic Camera Calibration
  • 📌 Generate and Visualize Disparity and Depth Maps
  • 📌 Learn Synchronization Methods for Multi-Cam Systems
  • 📌 Work with Stereo Cameras (ZED, RealSense, OAK-D)
  • 📌 Build and Validate Real-Time Vision Pipelines
  • 📌 Apply AI-powered Depth Estimation Models
  • 📌 Solve Calibration Drift & Runtime Challenges

🧰 Tools & Libraries You’ll Master in This Course

Python
OpenCV
Open3D
MeshLab
Sensor APIs
Sensor SDK
Different Calibration Patterns

🎓 Certification – Showcase Your Skills!

On successful completion of the course and projects, you’ll receive a Certificate of Completion with detailed project titles and skills acquired. This certificate serves as a verified proof of your ability to build and deploy Stereo and Multiple sensor calibration pipelines for real-world AI vision systems.

 

Share your certificate on LinkedIn, include it in your professional resume, and prove your expertise in multi-camera setup-capture-calibrate and beyond.

📷Camera & Lab Access – FAQs

1. Do I need a camera at home to take this course?

No, it’s not mandatory. Sample datasets and recorded camera footage are provided for practice. However, having a USB camera or webcam can enhance your learning experience for certain topics.No, it’s not mandatory. Sample datasets and recorded camera footage are provided for practice. However, having a USB camera or webcam can enhance your learning experience for certain topics.

2. Should I buy professional sensors for this course?

Not necessary. We provide pre-recorded image and video data from various sensors.

3. Can I access camera sensors from the MatPixel AI Lab?

Yes, enrolled learners can request access to the MatPixel CV AI Lab’s sensor streams and calibration datasets according to guided schedules. Please note: access is not 24/7. Based on your course enrollment and booking schedule, sensor access will be provided in predefined time slots.

4. Do I need to visit the lab physically, or is remote access possible?

No physical visit is required. Remote access to our lab environment is currently not enabled. However, live camera feeds may be available upon approval, depending on your course progress and project requirements.

5. Have other questions or need assistance?

Feel free to reach out at 📧 enhance@matpixel.com — we’re here to help!

Copy Right @MatPixel