Computer Vision Systems
From pixels to decisions in the field
Assistant Professor · Perception & Robotics
About this course
Vision that works in a lab and vision that works on a dusty road at 4pm are different disciplines. This course covers detection, segmentation and tracking, then the systems work: data collection, labelling, edge deployment and monitoring, with case studies from agriculture and infrastructure inspection in Pakistan.
What you will be able to do
- Train and evaluate detection and segmentation models.
- Design labelling workflows with quality control.
- Deploy models on edge devices with latency budgets.
Curriculum
5 lessons · 1h 17m
- 01
Seeing
- Detection and segmentationPreview22 min
- Labelling as an engineering problem15 min
- 02
Deploying
- Edge deployment and latency budgets20 min
- Monitoring vision in production14 min
- Module quiz · Vision systems6 min