Introduction of AI in the construction industry

The introduction of artificial intelligence in the construction sector has created numerous opportunities.

From the tendering phase to the operational phase, AI can significantly improve the efficiency and safety of projects.
Since 2019, UBY has been developing AI-integrated solutions to address the environmental and societal challenges inherent in construction activities.
It has developed powerful algorithms on the subject:

💡In particular, the acceptability of construction sites by local residents depends on controlling noise pollution. The aim of the solution implemented is to recognise the type of noise and its location in order to adapt the actions to be taken. The current sound recognition algorithm, integrated directly into the sensor, transforms the sound signal into a spectral image, then recognises the type of noise using a classification algorithm based on a convolutional neural network and a proprietary database of more than 10,000 sound signatures of construction site noises.

💡UBY has also developed a method for classifying particles. This method makes it possible to identify the particles present and calculate exposure to respirable crystalline silica.

📳Alerts are then issued based on pre-set thresholds.

💡A third use case involves recognising road surface contamination using computer vision. Alerts are generated when an excessive level of contamination is detected. A deep learning algorithm is used that takes into account brightness, time of day, weather conditions and road surface textures.
These patented solutions are now widely used around the world, particularly on infrastructure construction sites.