One of the often used terms in the construction industry these days is scan-to-BIM. Over the years scan-to-Bim has emerged as the most in-demand and go-to technology for the players in the AEC industry. Scan to Bim has influenced the members of the AEC industry by enhancing the speed of the digital modeling process.
Scan to BIM helps in the fast creation of BIM models for refurbishment, retrofitting, and expansion projects in a cost-effective manner while reducing project risks. In this regard, leading scan-to-BIM service providers can offer great help to AEC professionals. Currently, the Scan to BIM process follows a meticulous task of scanning the premises, taking the point cloud data, and creating the Bim model while following the standards.
As can be inferred, the process requires extensive human intervention and is time-consuming as well. However, the covid-19 pandemic has increased the need for refurbishment, remodeling, and expansion of existing buildings manifold. At the same time, the number of human beings available for construction projects has reduced due to lockdown restrictions. search issues have forced leading scan to Bim service providers to opt for automation of the scan to BIM process.
Two digital disruptive technologies that are making this possible are Artificial Intelligence and machine learning. Before delving deeper into the usage of AI and ML in scan to BIM, let us have a brief overview of these two technologies.
Artificial Intelligence and Machine learning
As a technology, Artificial Intelligence denotes the software or the machinery’s ability to simulate human behavior and thinking. Concurrently machine learning implies the ability of the software to learn and bring improvements in its decision-making prowess over time. Thus, machine learning denotes the ability of the machine to mimic the cognitive functions of human beings. Machine learning is just a tiny subset of the huge basket of technologies referred to as artificial intelligence.
How leading Scan to Bim service providers are using AI and ML?
The point cloud service providers use laser scanners to collect huge volumes of point cloud data during 3D laser scanning. Identifying and distinguishing important data among this huge data lake is a challenging task performed by highly experienced engineers. However, AI can perform this task with ease.
Using artificial intelligence it is possible to identify elements/ objects and automate the scanning process- thereby making it substantially faster. AI can not only expedite the process but can also reduce the chances of human error.
At the same time, machine learning can be used along with the Bim software to learn from the point cloud data and decipher patterns based on algorithms. This can improve and accelerate the overall process of the scan to BIM. The use of Artificial Intelligence and machine learning can make it easy to mitigate the risks and analyze the projects.
Thus by using artificial intelligence and machine learning, Leading scan-to-BIM service providers can expedite the process of BIM model generation and reduce the risks as well. Let us understand the benefits offered by Artificial Intelligence and machine learning by looking at a particular project scenario.
Consider the point cloud data of a living room along with the furniture, walls, floor, and ceiling. By using artificial intelligence and machine learning the point cloud service providers can get a point cloud model of the said room where different object classes are marked in different colors. So in such a model that ceiling might be marked in blue, the furniture in yellow, the floor in brown, etc.
Can be easily inferred, such a model will make navigation and visualization of the point cloud data for identification of objects and interpretation of elements much easier. However, to make this possible the Scan to BIM service providers have to use machine learning and artificial intelligence.
The first step in the process should request segmentation of the data using machine learning. By feeding the machine learning software with the different characteristics associated with different objects in a room, that same can be easily segregated. To illustrate, the user can input codes and design standards into the artificial intelligence, so that the same can be used by machine learning to create a suitable deliverable.
Undoubtedly, such technologies can open new doors for the Scan to BIM service providers. It substitutes the traditional laborious and time-consuming process, with something that is much more efficient. The usage of AI and ML also reduces the risks of human error and thus reworks. Through better predictions of output, risks can be further minimized.
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