Construction remains one of the most dangerous careers in the United States. To stop accidents before they happen, construction companies are turning to emerging technologies to improve workplace safety—from virtual reality, drone photography, IoT-connected tools, and machine learning. That said, some solutions come with the looming specter of workplace surveillance in the name of safety, with all of the Black Mirror-esque possibilities.
The Boston-based construction company Suffolk has turned to artificial intelligence to try and make construction safer. Suffolk has been collaborating with computer vision company Newmetrix to create a digital watchdog of sorts that uses a deep-learning algorithm and workplace images to flag dangerous situations and workers engaging in hazardous behavior, like failing to wear safety equipment or working too close to machinery. Suffolk’s even managed to get some of their smaller competitors to join them in data sharing, a mutually beneficial arrangement since machine learning systems require so much example data; something that’s harder for smaller operations to gather. Suffolk hopes to use this decade’s worth of aggregated information, as well as scheduling data, reports, and info from IoT sensors to create predictive algorithms that will help prevent injuries and accidents before they happen and increase productivity.