Eight easy-to-deploy applications of CV in Construction  


The blogs have been written by the Revca team with the help of a countless interns that have also contributed to bringing these points to you.

Follow us on:

Over the last decade or so, the use of technology in daily life has risen exponentially. An example of previously niche technology making its way into daily life is the use of Computer Vision.  Here we shall attempt to explore eight different avenues where proper implementation of Computer Vision can help improve efficiency and make our lives easier 

Resource Estimation.

At the beginning of any construction project, we prepare a plan and elevation of how the completed project will look like. Improving this with computer vision will take us one step further; it helps us prepare an estimate of the required resources to complete the project.  

Implementing Computer Vision based measurement system will help reduce human error. This is can be useful in construction projects, where this will help estimate the required resources for a particular project. Implementing this will help ensure a sufficient supply of resources, thereby eliminating a deficit or a surplus of raw materials. As a result, logistical costs and delays due to a lack of materials can be prevented.   

Stock Management

Large Scale constructions require the mobilisation of humongous quantities of resources. It may be bricks, cement, or other tools and implements. Once these implements and resources have been procured, keeping track of these resources is of utmost importance.  Manual stock management may prove impossible in these situations. However, integrating computer vision with stock management helps you to keep a real-time; accurate inventory of resources.  

Quality control

Ensuring the highest standard of quality is essential to the success of any business. However, in the case of large-scale manufacturing or construction, it becomes hard to manually inspect the quality of raw materials and the construction as a whole. 

Computer vision can help in two kinds of quality control. 

Integrating quality control with stock management can help in determining any defects in inventory, such as in broken bricks, or corroded metals; all of which may occur due to long-term or inefficient storage. Identifying faulty raw materials will help isolate them and prevent them from being used in construction, which may lead to poor-quality structures. 

This brings us to the second kind of Quality control.

Computer Vision can be used to identify the quality of the completed structure and identify present or potential flaws. Computer vision could be used to scan the structure for irregularities, or weak points in joints, which may be a potential hazard in the future. Such proactive quality control will reduce liabilities in the future. Also, Computer Vision integrated with X-Ray facilities could be used to identify deformities beyond the surface of the construction; and will help identify any human negligence or error during construction.  

Real-Time Theft detection.

Using computer vision for Stock Management helps to integrate into itself, Real-time theft detection systems. When stock is being continuously monitored, it is easier to track unaccounted reductions in inventory. Computer Vision software can be trained to notify multiple personnel when articles removed from inventory don’t show up and the next point, ie the retail aisles, or construction site.  

This can be implemented in warehouses, and construction sites. This is useful to check corruption and black marketing of goods by employees or operators; especially in large-scale projects where manual surveillance is near to impossible or requires impractical amounts of human resources. This is a prospective method of theft prevention. rather than the traditional retrospective method, where huge amounts of resources are wasted to investigate and track down theft. 

Asset Management

Working with faulty assets is a huge expense in the long run. It fastens depreciation, decreases safety, and invites legal hurdles. Using Computer Vision to monitor assets at construction sites helps in preventing all of these. Regular if not continuous monitoring of assets informs you about the required maintenance. It will also prevent expensive unwanted repairs and will help keep costs to a minimum.  

Hazard Reduction

Construction is considered a potentially hazardous working environment. Computer vision-assisted construction mechanisms can potentially help reduce this Hazard. Especially in high-rise construction projects, activities like bricklaying can be potentially hazardous. We could replace human bricklayers with Computer Vision assisted machines. This would not only reduce the potential hazard but would also help in maintaining the quality of work. Defects due to human fatigue and negligence would be eliminated. 

Worker Safety Management

Computer vision can be used to inspect if the safety guidelines are being followed by workers and operators. It can also be used to detect any workers engaging in unsafe work practices; and detect probably hazardous working areas. This also provides us with an option to immediately report any accidents, and can hence help in providing immediate assistance.  

Real-Time Inspection

Manual Inspection of construction is a tedious and hazardous job. In addition to this, there is a chance of corruption on part of assigned officials. Utilizing computer vision with the help of multiple cameras, drones and so on can help in reducing time, risk of potential hazards and corruption. Computer Vision can provide objective inspection reports that can be inferred by multiple people, hence reducing the chance of human negligence interfering with quality. 

Bottom Line

These are a few possibilities for easy, basic deployments of computer vision. This can always be improved upon by using more complex mechanisms and enhancing the deep-learning process of the system. Computer Vision gives us the promise of safer & easier working conditions while increasing the quality of output. In addition to this, one major merit of implementing computer vision is that this kind of technology only becomes better with use. More instances to learn from means better output the next time. 

Video Resources

Computer Vision for Construction Sites 





Get Subscribed to our Newsletter to stay on top of recent CV developments!

Related Articles


The only platform you need to implement CV without the hassle.


A Context based CV deployment platform. Build Intelligence into your Cameras with Machine Learning. Derive insights from your visual data to drive growth.

Contact Info

Subscribe Now

Don’t miss our future updates! Get Subscribed Today!