Case Overview
This project involved aerial monitoring of a large construction site in Schaumburg, Illinois, where a multi-building complex was under active development.
The objective was to visually document construction progress, site layout, and heavy machinery activity from the air, providing a clear overview of ongoing work across the entire site.
Aerial photography allowed the construction team to observe progress at scale, capture current site conditions, and maintain visual records without interrupting on-site operations.
- Aerial Site Photography
- Site Progress Documentation
- Heavy Equipment Visual Capture
- High-Resolution Image Delivery
The Brief
The construction site covered a large area with multiple structures being developed simultaneously.
Ground-level photography alone could not provide a complete understanding of overall site progress, equipment distribution, and spatial layout.
An aerial approach was required to:
- Capture the full construction area in a single visual context
- Document progress across multiple buildings
- Record heavy machinery activity on site
- Create up-to-date visual materials without disrupting workflows
Our Approach
The aerial operation was conducted in compliance with FAA Part 107 regulations, ensuring safe and efficient flights over an active construction environment.
Pre-Flight Planning
- Airspace and site perimeter review
- Coordination with construction activity zones
- Safe flight path planning over heavy machinery
Aerial Data Capture
- High-resolution aerial imagery of the full site
- Progress views of multiple buildings under construction
- Visual documentation of construction equipment and logistics
Post-Flight Review
- Image review and sorting by site zones
- Clear progress visualization from multiple angles
- Preparation of organized image sets for documentation
The Results
The aerial monitoring provided clear documentation of site conditions prior to construction, allowing stakeholders to reference land preparation progress and compare future development stages against a reliable visual baseline.
