Computer Vision & Robotics Course
This course equips engineering professionals with essential computer vision skills for mobile robotics in warehouse automation. Participants learn detection, tracking, depth estimation, and occupancy mapping, enabling deployment of real-time systems on embedded GPUs for safe and reliable navigation in dynamic environments. Ideal for those advancing industrial automation technologies.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain hands-on expertise in computer vision and robotics for building dependable mobile robots suited to warehouse environments. Master geometric vision principles, camera calibration, image formation techniques, and robust feature extraction methods. Progress to advanced topics like contemporary object detection, tracking algorithms, image segmentation, and precise depth estimation. Additionally, develop skills in dataset creation, synthetic data generation, deployment strategies for embedded GPUs, safety-oriented human detection, occupancy mapping, and integrated navigation systems.
Elevify advantages
Develop skills
- Develop vision geometry and calibration skills to construct precise camera models for mobile robots.
- Implement real-time detection using efficient YOLO-style models on embedded GPUs with safety measures.
- Master human tracking techniques for safety, including detection, monitoring, and assessment near robots.
- Create free-space and obstacle maps by integrating RGB, depth, and lidar data into occupancy grids.
- Build and adapt datasets for warehouse vision tasks through creation, labelling, and domain adaptation strategies.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

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