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Computer Vision & Robotics Course

Computer Vision & Robotics Course
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.
Workload: between 4 and 360 hours

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 Carlo
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.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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