Case Study: Gonvarri Solar Steel achieves automated solar plant progress tracking with IZERTIS

Gonvarri Solar Steel automates photovoltaic site progress tracking with IZERTIS using drone data and CAD plans

Gonvarri Solar Steel, a constructor of photovoltaic plants, sought to automate and improve the procedural tracking of work progress and quality control at its solar construction sites. To meet this challenge, they partnered with IZERTIS for a solution based on artificial intelligence and computer vision.

IZERTIS implemented a system that uses deep learning algorithms to analyze drone-captured imagery of a plant, comparing it against the original CAD plans. This AI-powered pipeline automatically detects, locates, and classifies installed components to objectively measure the percentage of completion. The solution from IZERTIS provided an objective, repeatable, and automated method for tracking construction progress, eliminating false interpretations and generating data for comprehensive dashboards.

Gonvarri Solar Steel