Integrating Computer Vision Technology into Building and Remodeling Projects

Building and remodeling projects can be quite complex. Project managers and contractors have to juggle technical tasks with safety imperatives and practical considerations, among other elements. The good news is that the continued rise of the digital landscape has brought with it some advanced tools that can help such projects achieve their goals, including computer vision technology.

Computer vision technology is one of the various offshoots of artificial intelligence (AI). In the simplest terms, it describes the way AI systems use visual assets—both video and still—to assess and improve processes. There are various applications for this in construction, so it’s well worth exploring how it can be used and what contractors and developers should consider when aiming for successful integration.

Project Accuracy and Optimization

Among the benefits of using computer vision technology in construction is that it can improve the accuracy of operations and help optimize your processes. For instance, a lot of software in this field can constantly monitor the details of real-time images and perform analysis on a pixel-by-pixel basis. When combined with solid data about the project plans, computer vision AI can perform comparisons that provide fine detail on how accurately projects are in line with the intended outcomes. 

From a project accuracy perspective, computer vision tools can minimize the potential for extensive and costly errors. Usually, construction and renovation projects rely solely on the perspectives of contractors and inspectors. Extensive physical assessments might only take place at specific intervals throughout the process, by which time errors may be missed, small issues might become exacerbated, and costlier reparations must take place. As computer vision software provides real-time feedback to project managers, there’s a greater opportunity to respond and make changes. 

There is also a role for software to play in optimizing ongoing operations on a construction project. Computer vision tools can utilize machine learning algorithms to assess whether the activities taking place in video footage are proceeding at their most efficient. It can also highlight when excessive materials are being used. This not only cuts down on costly waste but also tends to make for more sustainable building projects.

Maintaining Safety

Perhaps the most important role computer vision plays in construction is to maintain safety. Construction and renovation sites have a variety of dangers and risks, not to mention that finished buildings need to achieve high safety standards to keep occupants from harm. Alongside human expertise, having access to AI support systems can ensure construction projects can maximize safety.

Firstly, one of the functions of computer vision is automatically scanning video images for risk indicators. For instance, AI can identify hazardous goods symbols on images of materials and provide project managers with up-to-date information on on-site risks. This allows contractors to use the most appropriate precautions and personal protective equipment (PPE). The fine image analysis capabilities of computer vision also helps to maintain good asset management processes by identifying signs of wear and tear in equipment. As a result, contractors and managers can ensure tools are replaced and updated to keep them safely usable.

Additionally, some buildings and renovations will require adherence to specific building codes.  There are different processes and requirements depending on the type of project and area of the country. For instance, home additions—such as garages—will usually require rounds of plan approval, with construction executed exactly as described in the approved plans. Even something as simple as sheds in some locations will require a subject-to-field inspection permit, for which the project has fewer requirements than large-scale construction, but still has to meet criteria for elements such as land use.

Computer vision technology can monitor the construction process to ensure the project stays within the parameters of the agreed plans and meets the safety requirements the construction codes and permit conditions demand.

The Importance of Training

As with any form of technology, computer vision isn’t effective by its mere availability. Rather, the key to success is how it’s used in projects. This requires staff to be effective collaborators with computer vision systems. As a result, it’s vital to provide training.

Some key areas for focus here can include:

●      Project managers and supervisors understanding how to interact with computer vision software interfaces on a day-to-day basis.

●      Project managers’ ability to set up cameras and sensors in positions that enable the computer vision software to capture the highest quality images for assessment.

●      Information technology (IT) and project managers’ skills in trouble-shooting issues with computer vision technology, assessing ongoing analysis accuracy, and providing data that improves software functions. 

Some of these skills may be offered through industry training expos or via e-learning programs on AI software use. Many software platform providers will also provide access to video tutorials in addition to hands-on training on worksites. This will involve arranging for professionals with experience of using the technology in construction providing project staff with in-person guidance, walking through the practical applications, and addressing challenges. This training should also be refreshed regularly and updated for different scales and types of projects.

Conclusion

Computer vision technology is helping to drive innovations that support construction and remodeling projects. This includes AI’s ability to optimize processes for efficiency and maintain safety. Alongside training contractors and project managers to use these tools, it may also be useful for businesses to explore proprietary forms of computer vision technology. By being involved in programming and teaching the AI, it can be a more tailored and relevant tool for the types of projects the company performs. 

Sam Bowman writes about people, tech, workers, and how they merge. He enjoys getting to utilize the internet for the community without actually having to leave his house. In his spare time, he likes running, reading, and combining the two in a run to his local bookstore.