At Devisubox, artificial intelligence is a practical tool for improving safety and efficiency on construction sites. Thanks to our SupervisionAI solution, we can detect a wide variety of objects, situations, and behaviors—and most importantly, intelligently interpret them based on logical scenarios defined with our clients.
This was the case for a project in America, located alongside a busy highway (a 6-lane road with a central median). Truck access was at a right angle, making every entry potentially hazardous for on-site personnel.
Verifying Access Rules with AI
To make these maneuvers safer, strict rules were established: every truck arrival had to be guided by a flagger, equipped with the necessary PPE, responsible for securing the vehicle’s entry. Adherence to this procedure is essential.
Here, SupervisionAI acts as a true safety prevention assistant for construction sites. By automatically detecting vehicles (by type), people, and the use of protective equipment (vests, helmets, etc.), our system can identify at-risk situations in real time.
In practical terms, we program the AI with simple and effective rules: – If a truck is detected without a person present, an alert is sent. – If a truck is accompanied by a person who is not wearing a reflective vest, a notification is also triggered.
These images, automatically filtered by our autonomous camera, are then sent to the safety manager. They serve as tangible support for leading safety briefings and raising team awareness about best practices.
A Tool for Site Safety Prevention, but Also for Performance Optimization
As with all images captured by Devisubox, faces are automatically blurred to guarantee the anonymity of employees and to comply with current regulations.
Beyond accident prevention, this visual data also allowed the site manager to optimize the site’s organization. By analyzing the images, he noticed that the heaviest trucks were blocking traffic during their maneuvers. He therefore implemented new rules: tonnage restrictions at certain hours and scheduling deliveries outside of peak traffic times.
This case study perfectly illustrates the added value of artificial intelligence applied to site monitoring: better prevention, increased responsiveness, and more informed decisions. In other words, a safer, better-organized… and more efficient site.
