Course
Computer Vision Safety & Diagnostics
Build OpenCV object detection pipelines for industrial danger recognition and medical diagnostics.
Level
Advanced
Duration
48 hrs
License
CC-BY
Provider
PowerProgress Vision Clinic
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Readiness status
92%
46,000 hrs/mo pledged
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Civic missions bottleneck
3 weekly posts - 50 live missions. Close the 48pt gap by running the recommended playbook.
Readiness
52%
Gap to 100%
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Target
120 weekly updates / 30 missions
Live impact
0
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Module
OpenCV Foundations
Stand up reproducible detection pipelines across CPU/GPU/edge targets.
1 lessons · 2 takeaways
Mission outcomes
- Package OpenCV builds per target platform.
- Benchmark detectors with telemetry + compliance logging.
Module
Danger Recognition
Detect hazards, PPE violations, and restricted-area breaches with explainable alerts.
1 lessons · 2 takeaways
Mission outcomes
- Fuse thermal/depth + RGB cues for safety.
- Route detections to escalation flows and hardware interlocks.
Module
Medical Diagnostics
Apply computer vision to imaging modalities with clinician-in-loop governance.
1 lessons · 2 takeaways
Mission outcomes
- Normalize DICOM/PHI and audit model outputs.
- Design uncertainty overlays + review workflows for doctors.