{"id":75511,"date":"2022-07-22T14:37:46","date_gmt":"2022-07-22T12:37:46","guid":{"rendered":"https:\/\/blog.richardvanhooijdonk.com\/?p=75511"},"modified":"2022-11-24T13:30:38","modified_gmt":"2022-11-24T11:30:38","slug":"is-the-construction-industry-finally-starting-to-leverage-the-power-of-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/blog.richardvanhooijdonk.com\/en\/is-the-construction-industry-finally-starting-to-leverage-the-power-of-artificial-intelligence\/","title":{"rendered":"Is the construction industry finally starting to leverage the power of artificial intelligence?"},"content":{"rendered":"\n<ul class=\"bold-list wp-block-list\">\n<li>How can artificial intelligence assist?<\/li>\n\n\n\n<li>Interesting use cases of AI in the construction industry<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><font style=\"vertical-align: inherit;\"><font style=\"vertical-align: inherit;\">Despite being the largest industry in the world, for the longest time, the construction sector \u2013 which encompasses real estate, industrial structures, and infrastructures \u2013 has seen little improvement in terms of productivity, with one of the main reasons being a lack of efficiency in the sector. Think downtimes, transport issues, delays, planning flaws, and more \u2013 all leading to unnecessary costs. Add to this the dwindling construction workforce, growing project complexities, the COVID crisis, and the increasing global climate emergency, and you can see why this sector is under immense pressure. It&#8217;s critical for the construction industry to start thinking outside of the box for solutions to the many challenges it faces, and this is where artificial intelligence can assist.<\/font><\/font><\/p>\n\n\n\n<blockquote class=\"wp-block-quote has-text-align-center quote-stat is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-text-align-center wp-block-paragraph\">By <strong>2026<\/strong>, AI in construction is estimated to generate a revenue of <strong>$2,642.4<\/strong> million, at a compound annual growth rate of <strong>26.3%<\/strong> from <strong>2019<\/strong> to <strong>2026<\/strong>.<\/p>\n<cite><em>Research Dive<\/em><\/cite><\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\">How can artificial intelligence assist?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">As advancements in artificial intelligence (AI), machine learning (ML), and analytics steadily progress, we can expect AI to play an increasingly significant role in the construction industry in the years ahead. Businesses and individuals invest more than $10 trillion annually in construction-related activities, and <a href=\"https:\/\/www.mckinsey.com\/~\/media\/McKinsey\/Industries\/Capital%20Projects%20and%20Infrastructure\/Our%20Insights\/The%20next%20normal%20in%20construction\/The-next-normal-in-construction.pdf\">according<\/a> to McKinsey &amp; Company\u2019s report \u2018The Next Normal in Construction\u2019, this is finally starting to include investments in solutions that incorporate artificial intelligence (AI). In fact, <a href=\"https:\/\/www.researchdive.com\/46\/artificial-intelligence-in-construction-market\">according<\/a> to a report by global market research firm Research Dive, by 2026, AI in construction is estimated to generate a revenue of $2,642.4 million, at a compound annual growth rate of 26.3% from 2019 to 2026. Artificial intelligence has the potential to <a href=\"https:\/\/constructible.trimble.com\/construction-industry\/the-benefits-of-ai-in-construction\">increase<\/a> value throughout construction project lifecycles and is becoming increasingly instrumental in the improvement of planning and design, operations and risk management, and worksite safety.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"Trimble and Boston Dynamics Announce Strategic Alliance to Extend the Use of Autonomous Robots\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/YFn48DUZu_s?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Planning and design<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">More and more construction companies are implementing AI to improve planning and design. Research shows that well over a third of construction companies waste valuable time on non-productive activities, such as paper-based communication, project planning and design issues, and so on. The implementation of AI could greatly improve project planning and design processes by analysing historical data and applying important insights to arrive at better informed decisions. AI can help create interactive 3D models of construction projects, determine the various steps each team in the construction project needs to take, and provide designers, engineers, architects, and contractors with valuable information<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Risk management<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Large construction projects typically deal with various risks, including those related to human error, safety and security, quality assurance, timeframes, cost overruns, and so on. Artificial intelligence and machine learning technologies can generate valuable insights related to many critical aspects of construction project management to help improve decision making and significantly reduce risks on all of these fronts.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Time and budget overruns<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">As a result of unforeseen events, inaccurate forecasts, and various other factors, construction projects often get faced with time and budget overruns. <a href=\"https:\/\/www.businesswire.com\/news\/home\/20210812005133\/en\/\">According<\/a> to a survey conducted by international research firm IDC and commissioned by Procore, a leading provider of construction management software, almost 80 per cent of construction projects are delivered late and 75 per cent are significantly over the owner\u2019s original budget. AI prediction models can help forecast potential time and budget overruns on the basis of project size and contract type, and generate more realistic timeframes, determine the cause of the overruns, and create more accurate estimates for future construction projects.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote has-text-align-center quote-stat is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-text-align-center wp-block-paragraph\">The construction sector is one of the most hazardous, leading to many injuries and fatalities across the globe. In fact, fatal accident rates in construction are five times higher than in any other industry.<\/p>\n<\/blockquote>\n\n\n\n<h4 class=\"wp-block-heading\">Worksite safety<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">The construction sector is one of the most hazardous, leading to many injuries and deaths across the globe. In fact, fatal accident rates in construction <a href=\"https:\/\/www.osha.gov\/data\/commonstats\">are<\/a> five times higher than in any other industry. Not only do these accidents and fatalities cause suffering to construction workers, their families and their colleagues, but they also lead to costly project delays and increased costs. AI can provide innovative methods to automatically monitor the safety of the workers, reduce injuries, and provide increased worksite safety. AI\u2019s ability to gather and analyse large amounts of data in real time enables it to make increasingly accurate predictions about productivity, machine breakdowns, and safety concerns.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Interesting use cases of AI in the construction industry<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI is increasingly used to improve construction project accuracy and efficiency, track and monitor equipment location and usage, and optimize a host of other tasks and processes. Here are some use cases.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Digital twin creation through 360\u00b0 camera solution<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">The San Francisco-based startup OpenSpace, global leader in automated 360\u00b0 jobsite photo documentation and AI-powered analytics<strong>,<\/strong> has <a href=\"https:\/\/www.prnewswire.com\/news-releases\/openspace-announces-openspace-basic-the-construction-industrys-first-completely-free-360-video-capture-tool-301351810.html\">developed<\/a> a 360\u00b0 camera that enables builders to easily create a complete digital twin of a construction site. This valuable footage helps improve collaboration, assists with remote site management, and can significantly reduce costly rework. The construction worker simply attaches the camera to their hardhat, indicates their starting location, walks around the construction site, and uploads the footage. OpenSpace&#8217;s computer vision technology then joins the images together, and adds them to the correct location on the floor plan. <a href=\"https:\/\/www.forbes.com\/sites\/tomtaulli\/2021\/09\/29\/ai-artificial-intelligence-poised-to-transform-the-massive-construction-industry\/?sh=3029d4da1eba\">According<\/a> to Shawn Carolan of venture capital firm Menlo Ventures, \u201cThe company also recently launched a new product called ClearSight that uses AI to overlay images of framing, drywall, paint and more to allow for efficient project progress tracking via machine vision.\u201d&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"OpenSpace Photo Documentation and Progress Tracking At a Glance\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/AgNmTr6BSkk?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Construction helmets chart worker progress<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Hardhat-mounted cameras can also help chart construction worker progress. The Israeli startup Buildots, for instance, has developed AI-powered hardhats with 360\u00b0 cameras to create an overview of the construction process in a dashboard. The algorithms can identify any discrepancies between the original design, schedule, and the real-time situation on construction sites by automatically validating the footage captured by the cameras. The platform functions as a mobile control room for construction project managers, and enables them to improve decision making, accelerate construction work, and avoid time and cost overruns. Dori Raveh of Buildot <a href=\"https:\/\/innovationorigins.com\/en\/buildots-supplies-construction-helmets-that-chart-construction-workers-progress\/\">explains<\/a>: \u201cBy bringing together AI technology and wearable hardware, we are creating technology that can intelligently digitise a building construction process. On the basis of the 360 images, the platform collects thousands of data points and translates them into a virtual \u2018control room\u2019. We use AI technology to make a comparison between the data points and the original construction schedule; how far have they progressed? What still needs to be done? Thanks to this comparison, you can fine-tune the process and boost productivity.\u201d<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"Buildots - Connected Construction\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/jeNb-ap5wss?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">AI helps improve construction site safety<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">A partnership between construction technology company Newmetrix and photo and video site documentation company StructionSite aims to reduce construction site accident rates using artificial intelligence. Newmetrix\u2019s platform automatically extracts image and video data from StructionSite. This footage is analysed by the platform\u2019s AI \u2018Vinnie\u2019 to identify more than 100 potential health and safety risks, including improper ergonomics and work at height. Using predictive analytics, the image data is combined with other project information to identify the safety risk level for each construction project, and forecast which 20 per cent of the construction projects will cause 80 per cent of the risk. This data can be used to implement safety and security measures where they will have the most impact. \u201cFollowing up on a study in which Newmetrix\u2019s AI engine Vinnie learned from construction company Suffolk&#8217;s data to predict roughly one in five safety incidents with 81 per cent accuracy, nine major construction firms are partnering with the software company to further develop predictive analytics and therefore prevent incidents and reduce risk across the industry,\u201d <a href=\"https:\/\/www.newmetrix.com\/news-and-events\/top-contractors-partner-with-ai-firm-to-prevent-accidents\">according<\/a> to Newmetrix CEO and Founder Josh Kanner.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/blog.richardvanhooijdonk.com\/wp-content\/uploads\/2022\/07\/shutterstock_1694245051.jpg\" alt=\"\" class=\"wp-image-75520\" width=\"750\" height=\"497\" srcset=\"https:\/\/blog.richardvanhooijdonk.com\/wp-content\/uploads\/2022\/07\/shutterstock_1694245051.jpg 1000w, https:\/\/blog.richardvanhooijdonk.com\/wp-content\/uploads\/2022\/07\/shutterstock_1694245051-300x199.jpg 300w, https:\/\/blog.richardvanhooijdonk.com\/wp-content\/uploads\/2022\/07\/shutterstock_1694245051-768x508.jpg 768w\" sizes=\"(max-width: 750px) 100vw, 750px\" \/><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">AI-powered robots could offer solutions for construction labour shortages<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">AI can also be deployed alongside construction workers to help solve the issue of labour shortages. In fact, there are already a great number of AI-powered construction robots at work on building sites across the world, performing a wide range of tasks. The Colorado-based startup Canvas, for instance, has <a href=\"https:\/\/www.canvas.build\/\">developed<\/a> an AI-powered, laundry machine-sized, wheeled robot that can complete drywalls. The machine makes use of lidar to generate a clear picture of its surroundings, after which its robotic arm can start sanding surfaces and spraying drywall compound. The machine can help minimise the harsh working conditions that often deter new workers from pursuing the trade and cause others to prematurely leave the construction industry.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And Built Robotics \u2013 creators of robotic upgrade kits \u2013 <a href=\"https:\/\/aimagazine.com\/technology\/top-10-construction-companies-offering-ai-solutions\">develops<\/a> software and combines this with off-the-shelf sensors to retrofit existing machines, enabling them to operate autonomously. Using Built Robotics\u2019 technology, machines like excavators can operate without human involvement. Among some of the company\u2019s AI-enabled solutions are its heavy equipment robotic system \u2018Exosystem\u2019, the robotic operations software \u2018Everest\u2019, robot operation tools \u2018Field Kit\u2019, and the remote robot monitoring solution \u2018Guardian\u2019.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"Canvas drywall finishing robots demos sanding skills\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/3yG2BgDYNGQ?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">In closing<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The construction industry has been a notoriously slow adopter of technology and one of the least digitised, plaguing the sector with cost inefficiencies, project delays, and suboptimal productivity. AI can, however, provide a myriad of solutions to improve performance and productivity throughout the entire value chain \u2013 from the production of building materials to the design, planning and construction phase itself. While AI in construction is still in the early stages, given its many potential benefits, the future of this industry looks promising.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Despite being the largest industry in the world, for the longest time, the construction sector \u2013 which encompasses real estate, industrial structures, and infrastructures \u2013 has seen little improvement in terms of productivity, with one of the main reasons being a lack of efficiency in the sector. Think downtimes, transport issues, delays, planning flaws, and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":75513,"parent":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","footnotes":""},"categories":[2880],"tags":[],"article-type":[],"trends":[5485],"class_list":["post-75511","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-real-estate","trends-artificial-intelligence-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Is the construction industry finally starting to leverage the power of artificial intelligence? - Richard van Hooijdonk Blog<\/title>\n<meta name=\"description\" content=\"The construction industry has been a notoriously slow adopter of 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