Selected engineering work
Solar-panel defect detection
Published in portfolio:
Computer vision for identifying solar-panel defects, accompanied by a credited article about the inspection workflow.
My contribution
AI developer and article author
Worked on AI-based solar-panel inspection and wrote about the defect-detection workflow in an article published by Ignitarium.
Project context
The article describes a broader engineering workflow. Authorship and the published AI developer role do not imply sole ownership of the underlying platform.
Computer vision · Workflow
How it works
Capture
Collect imagery of solar panels.
Analyse
Apply image-processing and deep-learning methods.
Locate defects
Identify candidate defects for inspection.
Explore the work
The portfolio date records the public listing. It does not establish the project's development dates.
Project description and engineering work
This project applies computer vision to solar-panel inspection. Its companion article explains the role of image capture, labelled data and model processing in finding defects.
The linked publication credits Pavan Kumar as author. The project record describes the public engineering topic and contribution without reproducing internal implementation details.