Data Scientist · Computer Vision · August–September 2020 · Project
SmartFactor
Deep-learning-based detection of power-pole faults from drone imagery, from raw images to automated identification.
Computer vision for infrastructure inspection
I developed deep-learning-based algorithms for detecting faults in electrical power poles from drone imagery. My work covered the pipeline from raw photographs to automated identification of damage.
This project connected computer vision with a concrete field-inspection problem and provided early hands-on experience with turning image data into useful detection results.
Computer vision · Deep learning · Drone imagery · Image-processing pipelines