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5 Things You Must Know About Artificial Intelligence Applications in Construction

Updated: Jun 22, 2021

Seven percent of the world's labour force is employed in the construction industry, so it is a major sector of the world economy. Individuals and businesses spend $10 trillion per year on construction-related activities.

The global construction industry is expected to reach an estimated $10.5 trillion by 2023, and it is forecast to grow at a CAGR of 4.2% from 2018 to 2023. (Businesswire, 2021).

1. What is Artificial Intelligence (AI) in construction?

Artificial intelligence is a term used to describe how machines are trained to simulate human cognitive functions-spot patterns, learned from experience or understanding images, which allows building sites safer, reduces waste, and increases efficiency. AI in the construction market is expected to reach USD $4.5 billion by 2026. (PlanRadar, 2020).

2. How Artificial Intelligence (AI) Improves Construction Project Planning?

Construction Management is the overall planning, coordination, and control of a construction project, aiming to meet the client's requirements on budget and schedule, risk, and safety.

Artificial Neural Networks (ANN) have been considered to be used in more complex events of qualitative and quantitative reasoning. They can successfully solve the field of view prediction, estimation, decision-making, optimization, and many complex non-linear problems of the project construction and management network. They are being considered to have the potential for noisy data processing to achieve high-precision and high-reliability predictions and forecasts.

Building Information Modelling (BIM) is the process of generating and managing contractual support for various tools, technologies, and digital representations of physical and functional characteristics of the construction sites, considering the architecture, engineering, mechanical, electrical, and plumbing (MEP) plans and the sequence of activities of the different construction teams, for instance, architects, and engineers, aiming to efficiently plan, design, and manage buildings.

Machine learning (ML) is the study of computer algorithms leading to improvement automatically through practice and by the use of data. It can examine this mountain of data, filtering spam emails to advanced safety monitoring, and then alerts project managers about the key improvement. By building a model based on sample data, machine learning can make predictions or decisions without explicit programs.

“By using Machine Learning and Artificial Intelligence in Construction, clashes generated by the different stages can be migrated. Hence, rework and waste of time and cost can be prevented by over 70%.”

3. How Artificial Intelligence (AI) Improves Productivity in Job sites?

There is always some repetitive work in construction sites, such as pouring concrete, bricklaying, etc. By offering self-driving construction machinery and AI, it is 70% more efficient than using human resources. Also, AI can be more accurate and less time-consuming compared to human power.

Around 60% of the workers claimed the shortage of skilled labour is one of the biggest challenges of construction projects, 40% claimed the projects are taking longer than anticipated higher project costs. (Propeller, 2021)

By using real-time analysis of data with the help of AI & Computer Vision, construction firms could boost over 50% productivity. (McKinsey, 2017) In addition, using facial recognition and onsite cameras, project managers can also track and supervise workers' job site work in real-time to evaluate worker productivity, which will increase over 60% productivity.

In addition, compared to on-site construction, off-site construction and AI can finish planning, designing, transporting, and assembling building elements to a greater and faster extent by doing research, testing, and prototyping. (WBDG, 2016)

With the use of AI and machine learning, construction companies can have a better plan for the distribution of labour and machinery across jobs. For instance, construction worker activity tracking by AI can help monitor the number of workers on-site, the completion of the project on schedule, and potential danger of the workers' location. In addition, AI can also help with the smoke detection and improper treatment of cigarettes.

4. How Artificial Intelligence (AI) Improves Construction Safety?

Cloud-connected cameras, drones or even mobile phones can capture construction sites 24/7 and in real-time without the requirement of a human operator, allowing the project manager to supervise the adherence of Personal Protective Equipment (PPE), Social Distance & Draw Danger Zones preventing people from getting injured. And, by analyzing the video footage using the AI-empowered camera footage, alerts will be sent if an accident happened.

To know more about how AI improves construction safety have a look at the blogs below:

5. How viAct deploy Artificial Intelligence (AI) at Construction Site?

To solve the challenges, from project productivity to workforce safety concerns at construction sites, try out viAct’s FREE TRIAL to get hands-on experience of the solution!



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