Computer Vision & Robotics Course
This course equips engineering professionals with essential computer vision skills for mobile robotics in warehouses. Participants learn detection, tracking, depth estimation, and occupancy mapping, enabling deployment of real-time systems on embedded GPUs for safe and efficient navigation in automated settings. Ideal for those advancing industrial automation, it combines theoretical foundations with practical implementation for robust robot performance in dynamic real-world scenarios.
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 reliable feature extraction methods. Progress to advanced topics like contemporary object detection, tracking algorithms, image segmentation, and precise depth estimation. Additionally, develop skills in curating datasets, generating synthetic data, deploying models on embedded GPUs, implementing safety-oriented human detection, creating occupancy maps, and integrating smooth navigation systems.
Elevify advantages
Develop skills
- Vision geometry and calibration: develop precise camera models essential for mobile robots.
- Real-time detection: implement efficient YOLO-based models on embedded GPUs with safety measures.
- Human tracking for safety: identify, follow, and assess people in the robot's vicinity.
- Free-space and obstacle mapping: integrate RGB, depth, and lidar data into detailed occupancy grids.
- Dataset and domain adaptation: design, annotate, and tailor vision datasets for warehouse applications.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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