White Paper

ConstructionsAIt – Multi-modal AI-driven technologies for automatic construction site monitoring

© istockphoto.com/NDinfinity

In the construction industry, unexpected accidents, thefts, and vandalism can cause high costs due to construction delays. Also, logistic monitoring is of central importance to ensure a smooth construction process,  especially for large-scale projects. Manual attempts to ensure the safety of construction workers and to monitor traffic flows and deliveries of construction materials are often costly and inefficient.

As a promising solution, audio-visual analysis algorithms combined with distributed sensor networks across construction sites can help to automate these processes. 

In this white paper, ten use-cases for construction site monitoring using multi-modal AI-driven algorithms are presented and challenges as well as possible solutions are discussed. 

Use Cases

Safety of Construction Workers

  • Construction Hard Hat Verification
  • Mouthguard Verification
  • Protective Vest Verification
  • Detection of Cries for Help

Construction Site Surveillance

  • Illegal Entry Detection
  • Vandalism and Theft Detection
  • Collapse, Explosion, and Fire Detection

Logistics Monitoring

  • Audio-Visual Traffic Monitoring
  • Quantities of Goods
  • Construction progress

This might also be interesting for you


Research project

"StadtLärm" (CityNoise)

Development of a noise monitoring system to support urban noise protection tasks



AI-based face mask detection for public health and safety based on a Jetson nano 

Research topic

Video analysis

Image and video analysis with a focus on facial analysis

Environmental Sound Analysis

AI-based analysis of complex acoustic scenes and sounds