Shawmut Design & Construction
Enterprise risk dashboards
Learn how Shawmut Design & Construction implemented the Safety Monitoring module across all projects to reduce risk by automatically identifying projects deserving of additional safety team oversight. Vinnie, the construction-trained AI, created data that feeds a project-ranking dashboard, used weekly by the team to prioritize their focus.
Artificial Intelligence is now being applied across industries at many levels of technological sophistication. From automotive robots that can “see” what to weld to medical devices that warn doctors of risks during surgery, computers that can observe the world around them. This case study explores how these approaches are being applied to the world of construction safety risk, with exciting results.
Autodesk BIM 360 integration
Skanska USA is one of the largest construction and development companies in the U.S., serving a broad range of clients including those in transportation, power, industrial, water/wastewater, healthcare, and more. In this case study, learn how they are using Smartvid to help reduce safety risk as a contractor and an owner.
Stiles Construction is a division of Stiles Corporation a full-service development and construction firm based in South Florida. Stiles has developed over 43 million square feet of award-winning real estate, including office, industrial, retail, mixed-use and residential throughout the Southeast.
“Over the past couple years, it has become super easy to capture photos and videos on jobsites; now with Smartvid.io and Procore working together, we’re able to easily organize all this visual data and - better yet - use AI to find insights related to quality and safety on our jobsites.”
“By having an “extra pair of eyes that doesn’t sleep” looking at our photo data, we could better identify both positive examples and areas for improvement that we might otherwise miss and grow our safety library. We’re also exploring how to tie Smartvid.io technology into our proprietary EHS planning platform called PlanIt, in order to mitigate risk prior to worksite tasks taking place.”
“Smartvid complemented our human-based observations with a third-party AI perspective. Both are necessary for understanding risk and deciding where to focus our attention. For example, when Vinnie found a high rate of housekeeping issues on an otherwise well performing project, we immediately reviewed examples and found the project had begun demolition, creating piles of debris and standing water. We provided additional resources to the site, including a tool box talk, as the project had now entered this higher risk phase. Without Vinnie, we never would have known to give the project some added support.”
“After the pilot project, we were convinced these new techniques create additional value for our clients by enabling a quantitative assessment of key infrastructure health indicators like cracks. In the future, we look forward to expanding these models to other indicators of damage, including concrete spalling and water ingress features.”
“Right now in the machine learning and AI space, photo recognition is one of the most proven technologies that has really come out in the last year.”
“Smartvid.io saves us lots of time but also gives us a much better way of capturing the visual record of what we do everyday. All of the tags that Smartvid.io finds go into Procore as descriptions in the photos so they are searchable immediately. This reduces the amount of time field personnel have to spend and removes any need for re-entry into Procore. It’s a win-win. Our field teams can save time and our other team members see the information show up automatically in Procore so they don’t need to learn another system.”
“Data from OxBlue, Procore, and our 360 photos coming together and being used to identify indicators of risk is a key benefit of the Smartvid system. No person could ever review all of those photos, but with Vinnie, we can use them to look for signals of risk.”