Computer Vision & Robotics Course
This course equips engineering professionals with essential computer vision skills for mobile robotics in warehouses. Delve into detection, tracking, depth estimation, and occupancy mapping, then deploy efficient real-time systems on embedded GPUs to ensure safe and reliable navigation in automated settings. Tailored for those advancing industrial automation with practical, deployable knowledge spanning vision geometry, robust feature handling, dataset curation, and safety-critical integrations.
from 4 to 360h flexible workload
certificate valid 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: construct precise camera models for mobile robots.
- Real-time detection: implement efficient YOLO-based models on embedded GPUs securely.
- Human tracking for safety: identify, follow, and assess people near robotic systems.
- Free-space and obstacle mapping: integrate RGB, depth, and lidar data into occupancy grids.
- Dataset and domain adaptation: build, annotate, and adjust warehouse vision datasets.
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
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