Learn to calibrate monocular cameras with precision and confidence.
Build essential mathematical foundations and gain hands-on expertise in camera and sensor setup, image capture, and calibration techniques. Develop the real-world skills required to enhance AI vision accuracy across robotics, AR/VR, drones, and other intelligent systems.
Camera calibration is a critical first step in most computer vision pipelines. In this hands-on course, you’ll master the complete process of monocular (single-camera) calibration using OpenCV and Python. You’ll start with camera geometry, move on to intrinsic and extrinsic parameters, explore calibration patterns, and learn to handle real-world challenges like distortion and reprojection error.
You will gain practical experience in collecting calibration data, evaluating accuracy, and building undistortion and pose estimation systems. With real-world projects and a deep dive into OpenCV functions like calibrateCamera, solvePnP, and undistort, you’ll walk away with job-ready skills to implement camera calibration in production AI systems.
Whether you’re a developer, researcher, robotics engineer, or computer vision enthusiast, this course will equip you with practical tools to fine-tune your visual systems for real-world deployment.
calibrateCamera() FunctionsolvePnP() ApplicationsUpon successful completion of this course, you will receive a professionally issued Certificate of Completion that includes your name, course title, and the projects you’ve worked on. This certificate serves as a verified proof of your ability to build and deploy monocular camera calibration pipelines for real-world AI vision systems.
You can include this certificate in your resume, LinkedIn profile, or online portfolio to boost your credibility as a computer vision engineer.
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.
Not necessary. We provide pre-recorded image and video data from various sensors.
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.
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.
Feel free to reach out at 📧 enhance@matpixel.com — we’re here to help!