📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Computer-Vision Drone Inspector for Transmission Lines & Wild-Fire Risk, from foundations to a certified capstone project.
Outline
Define mission scope for defects, vegetation encroachment, and wildfire ignition cues. • Evaluate drone platforms and payloads (RGB, thermal, multispectral) for inspection tasks. • Plan safe and compliant flights, adhering to geofencing, BVLOS limits, and energized line safety. • Capture and manage imagery, video, orthomosaics, and point clouds.
Outline
Preprocess drone data, including synchronization, geotagging, deblurring, and tiling for model readiness. • Develop and train computer vision models for defect detection (hardware, insulators). • Implement models for vegetation encroachment monitoring. • Integrate thermal hot-spot detection capabilities within the vision pipeline.
Outline
Identify and integrate various wildfire risk layers: fuel dryness, slope, weather, and historical ignitions. • Combine computer vision outputs with terrain and weather data for a holistic view. • Design efficient triage queues and human-in-the-loop validation processes. • Implement CMMS ticketing for identified defects and risks.
Earn government-registered certification in Computer-Vision Drone Inspector for Transmission Lines & Wild-Fire Risk
e-Certificate and e-Marksheet issued on successful completion.
