Context
The data science team at a large energy operator in APAC decided to use computer vision to improve the process of remote visual inspection of power grids.
Images are collected by drone operator teams and foot patrols in the fields. They are manually reviewed by trained engineers to identify defects. The footage from a single tower generates GBs of data, takes days to analyze, and is prone to error.
With minimal resources - an open-source data versioning tool, GPU, data storage, serving infrastructure, and notebooks - the DS team completed an initial POC. They then needed to evaluate the benefits of using CV for review teams in a 3-month pilot with new field data sets.
