VSD: Collection and validation of photo data

Challenge

Motivation to change

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

Change delivery

The core challenge is a creation of a solution capable of performing the reading with above 90% accuracy, recall and 80% precision.​

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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

Change outcomes

We have developed AI solution for extracting and recording fusebox data with over 90% accuracy and 80% precision.

Used services