VSD, a.s. is an energy company, the main activity of which is electricity distribution to the end consumer through its own distribution system of almost 22,600 kilometers and 600,000 off-take points.
Summary
VSD needed to extract and record data from fusebox photographs with higher accuracy. Our solution achieved over 90% accuracy and 80% precision, significantly exceeding expectations.
Challenge
What was the problem
The goal of the project was the development of AI solution responsible for extraction of useful information from fusebox photographs and automatically recording it to an IT system.
Fusebox data are regularly being collected by employees with the purpose of documenting a box category, fuse status (ON/OFF), fuse amperic values and other data.
Solution
How we solved it
The core challenge is a creation of a solution capable of performing the reading with above 90% accuracy, recall and 80% precision.
Modern classification and object detection InceptionV3 and YoloV9 models have been transfer-learnt for this purpose scoring 92%-96% on all recorded metrics, exceeding the initial expectations by approx. 6% and delivered as part of a reusable Python service.
Tools & means
- Python
- InceptionV3
- YOLOv9
- PyTorch
- FastAPI
- Label Studio
Outcomes
What has changed
Our AI solution for extracting and recording fusebox data has reached over 90% accuracy and 80% precision, making life much easier for VSD.