Improved Construction Sites Waste Management – Besix

Challenge

Nature of collaboration

Besix partnered with Sagacify to develop a solution capable of analyzing construction site imagery and assessing waste sorting quality. Working with limited training data due to pandemic-related site closures, the teams implemented a custom annotation environment and collaborated closely to label real-world images captured on-site.

What we built

Sagacify built an AI model that detects containers in construction site images, classifies their contents, and identifies the presence and proportion of contaminants. The system automatically alerts site managers when contamination is detected, enabling faster corrective action. To address the challenge of minimal labeled data, a self-supervised learning approach was used to maximize model performance under low-data conditions. The solution was designed to work with standard crane-mounted cameras and integrates into Besix’s on-site workflows.

Impact