Managing equipment on large construction sites is labor-intensive. Manual tracking leads to billing errors and loss. Furthermore, traditional soil contamination monitoring via exhaustive grid sampling is costly and inefficient. Tracking movable assets and identifying environmental risks is essential for operational efficiency, accountability and regulatory compliance.
Our AI-powered vision system automatically analyses drone imagery and detects high-risk objects such as fuel tanks, generators and storage units.
Using advanced computer vision models with few-shot learning capabilities, the system can quickly adapt to new object types with minimal labelled data. Detected assets are mapped to generate dynamic risk layers, enabling targeted inspections and risk-based environmental sampling instead of exhaustive site-wide checks.
