8 Use Cases of Computer Vision in Construction
8 Use Cases of Computer Vision in Construction
The use of computer vision is revolutionizing the construction industry. AI vision technologies are changing how building projects are managed by making them more automated, cutting costs, and more accurate. You can read our article to learn what computer vision is.
More than half of the people who work in construction are 55 or older. With this age range, it might be hard to use technology like artificial intelligence (AI) or computer vision. Consequently, to break through this barrier, corporate managers require a deeper understanding of computer vision and its many uses.
This article will look at how computer vision, a cutting-edge technology, could be used in the construction industry. New applications are being made possible in the construction industry because of the real-time data and scalable, distributed intelligence made possible by AI and computer vision at the projecting edge. Because of this, managers in the construction industry can make more informed choices, which in turn helps cut down on waste and boost productivity.
When it comes to creating and deploying customized computer vision apps, Cameralyze is the most powerful no-code platform for the construction business. Using the power of artificial intelligence, Cameralyze helps leaders in the construction industry improve their operations and get an edge over the competition. Give it a try now!
Computer Vision in Construction
Let's find eight use cases of computer vision in the construction industry. This can help business leaders learn more about the technology and make better decisions about how to use it in the future.
Applying Computer Vision For Inspection Automation
Automatically inspecting PPE (personal protective equipment), construction trucks, and equipment, as well as identifying environmental safety concerns, is possible with computer vision.
The elimination of manual inspection results in significant time savings for construction firms thanks to the reliability of the resulting objective and consistent assessments. With intelligent vision analysis, businesses can instantly know how good their products are in terms of construction and materials. This allows for guaranteeing quality standards and decreasing the likelihood of flaws.
Cameralyze's object detection solution can help to detect whether workers are wearing their protective equipment, such as safety helmets, goggles, earplugs, and safety boots. See how this technology works by clicking here.
Asset Maintenance And Management
The condition of construction equipment can be monitored with computer vision. This can help manage assets because it lets managers track which ones must be fixed or replaced. It can also help with maintenance by letting workers know when a piece of equipment is starting to wear out and needs to be repaired or replaced.
By monitoring their movements, machine learning can also identify cranes, bulldozers, excavators, and loaders. Consequently, project managers may monitor equipment use and reduce wait times in certain zones (regions of interest).
Innovative solutions come in many forms, but they always employ object recognition algorithms to keep construction equipment from obstructing sidewalks and prevent automobiles from blocking exits.
Using computer vision, the life of assets can be extended, waste can be cut down, and costly interruptions and delays can be shortened. Maintenance is also essential to meet safety standards and follow the law.
If your company needs real-time analysis of security cameras, Cameralyze Edge is the way to go. Simply run the computer vision-based application you created in Cameralyze AI Studio with a single click on your Edge Devices. You can control vision systems without storing or transferring images or video data. You can easily monitor the condition of construction equipment thanks to Cameralyze.
Automatic Quality Assurance
It is possible to use computer vision to automate the process of checking the quality of building supplies. To achieve the highest level of precision throughout the building process, computer vision may be used in conjunction with camera sensors to detect and identify flaws in the material. This can enhance the quality of the final product and lower the number of mistakes made during production. When errors are found early in construction, they can be fixed at a low cost.
In the construction industry, for instance, computer vision can be used to conduct automated checks on the quality of the concrete used in a project. When problems are discovered, the organization can take steps to fix them before they worsen.
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Process Improvement And Monitoring
Construction projects can be monitored more accurately with computer vision technologies. It's invaluable for project managers since it shows how things are going and helps them spot problems before they become major setbacks. Project managers can then streamline the building process and guarantee that their jobs are finished on time and under budget. Human-computer interaction (HCI) is used in the building industry to help manage operations and keep track of tasks.
Some examples are:
- Determining whether and when an employee has violated safety procedures
- It's essential to use high-quality materials while building (type classification)
- Safety inspections at building sites
- Careful observation of building materials' hues (cable colors, etc.)
- Material and dimension checks for building projects Identifying and locating problematic building materials (anomaly detection)
Measure Distances And Volume
Distances, angles, and other dimensions can be estimated using machine learning applications. This is useful for drawing up plans and plotting out building locations.
Also, computer vision can measure the volume of building materials. This helps with planning and budgeting because construction companies can get a good idea of how much material they will need.
Cameras or uncrewed aerial vehicles (UAVs) equipped with computer vision algorithms are used to measure the amount of dirt transported on a building site, for instance.
On the other hand, the number of trucks at a construction site can be used to estimate how much material is on each truck. Vision-based technologies, like surveying or using a measuring wheel, are less accurate ways to measure volume than technologies based on seeing.
3D Scanning of Infrastructures
As-built models of buildings can be made using computer vision, which is very helpful for building projects that entail alterations or additions to an existing structure. There are several applications for point cloud algorithms in architecture and engineering since they can be used better to understand the 3D geometry of an object or area. To create a 3D image, they take several images of the object from various perspectives and then stitch them together.
As well as being useful for modeling and measuring distances, point clouds can be used to create 3D renderings of objects.
For detailed information about object classification, please read this article.
AI-Powered Analog-Dial Reading
Analog dials and displays can be read with the help of image recognition software. Indicators and machine display data can now be accessed digitally, so employees don't have to go to the machines to see the data. Such applications can be used on the Internet of Things (IoT) scale to provide real-time information. You can read our article to learn more about the Internet of Things.
As a result, personnel is safer as they do not need to go to potentially dangerous regions to collect data, allowing quicker and more informed decision-making.
For instance, deep learning models can be taught to decode the following:
- Dial Indicators
- Pressure Indicators
- Level Indicators
- Temperature Indicators
- Flow Gauges
Detection of Structural Defects In Buildings
Deep learning and image processing technologies can also be used to find potential safety problems in buildings and bridges. Using computer vision techniques, images of the structure can be taken and analyzed to find and describe flaws. A study of the infrastructure's safety can guarantee that it will not hurt anybody or anything nearby. This data can help determine the extent of potential legal action, a property's market value, or the insurance cost.
Here are some cases of structural flaw detection:
- Finding damage to the building
- Identifying misaligned or defective structural joints
- Determining the Presence of Defective Building Materials
- Checking for loose or missing bolts or screws
- Looking for evidence of rust or water damage
- Identifying alterations to the building due to motion or displacement
Cameralyze's application programming interface (API) and a developed third interaction model for image processing allow for the use of hundreds of pre-built programs, the development of apps with a single click, and the seamless integration of anything with your existing systems.
There is a wide range of potential applications for computer vision in the construction industry. Using artificial intelligence vision by construction managers to find, classify, and manage materials, people, and vehicles can help improve operations and worker safety. As technology keeps improving, more and more ways to use computer vision in the construction industry are both technically and financially possible.
With hundreds of pre-built computer vision solutions on a single platform, Cameralyze is ready to help you decrease your burden! You can find all the functions mentioned above on the platform.
It also helps you save time and boost productivity by automating the processing of your data via a Visual Intelligence Platform, which does not need any coding or technical skills on your part.
You can start your free trial period by choosing Cameralyze for your business!
Explore our other articles about computer vision use cases in different industries:
- 4 Computer Vision Applications in Sports (2022 Use Cases)
- Computer Vision Solutions: Enterprise AI Applications In Six Industries
- Computer Vision in Real Estate (2022 Guide)
- Computer Vision Applications In Transportation
- Computer Vision in Retail: Top 9 Applications
- Computer Vision in Manufacturing: Top 10 Applications