Machine Learning in the Construction Industry

Machine Learning in the Construction Industry

Machine learning enables incredible functions that impact the construction industry. Find out more here.

The construction industry plays a significant role throughout communities. After all, it impacts all types of building infrastructures and projects from higher education to healthcare. Like many other industries, the construction industry has taken to new technologies and digital transformation to improve relevant processes. Of those exciting and innovative technologies, machine learning and its applications are driving measures for better safety and construction quality.

In a definition offered by Expert System, machine learning (ML) is “an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.” These self-learning and predictive capabilities offer construction industry leaders and project managers the opportunity to better their efforts in creating the infrastructures that support the operations of others.

Surveying Construction Site Safety

An extra set of eyes can be useful when it comes to overseeing job site safety. Luckily, by pairing machine learning with Internet of Things interconnectivity, it creates the means to do precisely that. Instead of delegating construction site managers’ attention to monitoring and mitigating safety risks, cameras can capture images then provide analysis and feedback as needed. Machine learning algorithms identify safety hazards from the imagery, such as when personal protective equipment is not correctly worn, or equipment is placed precariously. Although a person is better likely to identify safety issues, ML capabilities are an excellent assistant for reviewing the vast amount of data generated every day.

Learn, Predict, and Prevent Risks

Integrating ML with other construction industry tools such as project management systems can give supervisors an in-depth scope of project progress. Along with surveying construction sites, ML systems can also manage various permits and documents, open issues, change orders, and more to give a detailed report on all stages of the construction process. Construction equipment and machinery use would be monitored to create findings on productivity and predictive maintenance requirements. A unified platform, powered by ML, can go as far as to catch and predict risks, as well as recommending alternative actions. These types of errors can go easily overlooked without a smart system, such as notifying about missing paperwork, identifying high-risk subcontractors, and prioritizing safety concerns throughout all aspects of the project lifecycle.

Optimize Building Designs

Many of today’s Building Information Modeling (BIM) programs are already advanced tools used throughout the building design. However, ML applications can take these digital renderings of projects a step further. After design teams build a digital model of their project, ML algorithms can analyze the BIM elements for human errors, like miscalculations, allowing the team to focus more on creative and problem-solving aspects of the design. Moreover, ML programs are sophisticated enough to run the building model through various simulations. Design teams can test building performance under different environmental conditions or simulate any potential demolition work. Ultimately, these insights can drive better building designs from the start.


At Critical Systems, the people come first, from our employees to our customers. We strive to attract and develop the best talent in the business. Our goal is to deliver innovative solutions for the purpose of making every building secure, efficient, and effectively managed. Serving the Washington D.C., Northern Virginia, and Baltimore regions, SEBCSI provides innovative solutions for your commercial building or facility. Visit our website and follow us on Facebook, Twitter, Instagram, and LinkedIn today! If you’re looking for more information or interested in working with us on your next project, please contact us!

This entry was posted on Monday, April 6th, 2020 at 6:17 pm. Both comments and pings are currently closed.

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