The construction sector is expected to grow by as much as 9% in 2021. This growth is due to the return of normal working practices and demand levels as the COVID-19 pandemic eases. However, forecasters expect strong growth in the industry through the beginning of this decade. Demand for housing, office and retail space shows no signs of slowing as the global economy rebounds.
As a result of this explosive growth many leaders in the industry are looking to improve the efficiency of construction projects. AI powered aerial drones could help construction efforts by monitoring work sites and gathering helpful data. Autonomous computer vision models could help keep construction tasks on schedule and safe.
This blog will look at three ways in which AI can help the construction industry. Image and video annotation is vital to all of these use cases because it helps AI models to learn. Therefore we will also identify the ways in which annotation services can help AI developers.
Construction progress tracking
Construction sites are often large and complex, with multiple structures being worked on at the same time. This makes construction progress hard to keep track of. Managers need to cover a wide area and it can be easy to miss when certain tasks are behind schedule or being constructed incorrectly.
Aerial drones can help by giving a birds eye view of construction sites. AI models are capable of autonomously comparing images from day to day and analyzing how much has changed. This capability gives managers a good idea of how work is progressing overall.
Semantic segmentation is essential for the success of construction progress tracking AI. This annotation technique adds information to images by assigning each pixel to a class. Annotators use tools to outline the shape of buildings in training images. This gives machine learning models vital context.
Safety on site
Workplace safety is an essential part of any construction project. This means workers wearing the right safety equipment and following established safety guidelines. AI powered drones can be used to monitor adherence to safety codes on construction sites. Using this data managers can estimate the likelihood of an accident and intervene to stop it.
When safety is the aim annotation verification is extremely important. Data annotation provider Keymakr uses three levels of human verification in combination with automated data checks. As a result of this commitment to accuracy Keymakr’s training datasets remain precise.
AI powered drones can also be used to keep track of construction equipment. Object recognition models can identify a range of vehicles and devices. This means that equipment is always safe and locatable.
Video annotation is important for drone AI training. Drones must understand dynamic moving environments and video training data can help with this. Keymakr’s annotation platform accelerates video annotation with the help of linear interpolation features that track and label objects from frame to frame.
The right annotation service
Data annotation is essential for construction monitoring AI. The right annotation service can give developers in this sector important advantages:
- Varied data: A varied mix of data allows models to overcome biases. Keymakr helps developers by collecting and creating varied training data.
- Responsive troubleshooting: Keymakr’s in-house team is led by experienced managers. This means that they can respond quickly to problems and provide satisfactory solutions.
- Adaptive technology: Keymakr’s annotation tool has innovative project management features that allow developers to control annotation tasks and respond to changing needs.