How Uses AI and Machine Learning to Reduce Risk on Construction Projects | Innovation

Safety and risk mitigation are two of the main problems that keep contractors up at night. From project delays and liability issues to injuries and even fatalities on the jobsite, the consequences of safety lapses can be severe. According to data from OSHA, 20% of all workplace deaths are in the construction industry, and jobsite deaths have increased every year since 2007. 

Yet, as jobsite safety is more important than ever, safety teams across the industry are spread too thin. When it comes to surveying the site, wouldn’t it be nice to have an ‘extra pair of eyes that doesn’t sleep?’ That’s how Jason Timmerman, Safety Director at Skanska, describes the power of AI and Machine Learning software,

How AI and Machine Learning Improve Jobsite Safety uses artificial intelligence to process and review all jobsite photos and provide detailed reports to the end user. First, it aggregates all photos and videos from field worker’s phones through integrations with BIM 360 Docs and BIM 360 Field. Then, it automatically tags files, allowing them to be reviewed and searched for easily by the project team to examine safety risks.

According to this tech profile by Aon Risk Solutions, can also help mitigate risks impacting insurance policies, including wrap-up liability, workers compensation, employers liability, builder’s risk, and subcontractor default insurance. improves PPE compliance and reduces the number of injuries by automatically detecting workers missing safety equipment. It also ameliorates site risks by detecting and enabling review of practices related to site conditions, such as scaffolding, ladders, uncapped rebar, etc. is constantly adding AI support for new categories of quality management, with planned improvements including crack detection, water intrusion, fall protection, and MEPI risks.

By automatically analyzing photos and videos from jobsites, finds opportunities to dramatically improve safety, quality, and productivity in construction. It’s like having a safety engineer on your project 24/7. uses AI and machine learning to review jobsite photos and provide detailed reports to the end user.

Using for Project Management, IT, and Marketing’s AI and machine learning can be used for other tasks that require the managing, accessing, and sharing of photo and video files. Project teams can use to monitor quality and track progress both in the field and office. A project manager can define a ‘watchlist’ of keywords and milestones to be identified in project photos and video narrations. IT departments can use to organize and control access to photos and videos from current and completed projects. And marketers can use to find and approve imagery for publications and proposals. A marketing team can search for relevant photos and videos based on what appears in the photos and tags; for example, identifying all interior photos with windows from the 30 Park Place project.


Get Started with the + BIM 360 Integration

The and BIM 360 integration, which can be set up in 90 seconds, makes it easy to organize photo and video data in a single view, and with a single click, upload from mobile phones, tablets, shared file systems, wearables, and UAVs. By using’s speech and image recognition to automatically detect safety hazards, you can quickly and easily mitigate risk on the jobsite.

Ready to learn how the power of AI and Machine Learning is working on jobsites today?

Watch our webinar with and Clayco

AI and Machine Learning Webinar

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