Follow on Google News News By Tag Industry News News By Place Country(s) Industry News
Follow on Google News | How AI and ML are Transforming the Scan-to-BIM Industry in the USAAI & ML are revolutionizing Scan-to-BIM in the USA's engineering and construction sector. These cutting-edge technologies streamline the process of converting scanned data into Building Information Models, enhancing accuracy and efficiency in engine
Similarly, ClearEdge3D's Verity platform applies AI for smart point cloud classification and feature extraction. Their algorithms can differentiate walls, floors, ceilings, openings, and more - understanding real-world spaces in an architectural context. This semantic comprehension of the 3D data enables rapid, automated conversion into BIM with minimal human intervention. Other innovations in AI for scan-to-BIM include automated clash detection, machine vision techniques for reconstruction of surfaces and objects, and generative design tools for filling in missing data gaps. Companies like Imagine Technologies have partnered with NVIDIA to leverage GPU acceleration and neural networks for advanced point cloud processing. Looking ahead, innovators aim to build 'virtual architect' assistants that automate even more of the 3D modeling process from scan data. By leveraging large datasets and deep learning for generative design, these AI systems could become like co-workers to human BIM experts. This next level of human-AI collaboration could minimize repetitive tasks, boost design options, and allow professionals to focus on higher-value work. The intersection of reality capture, AI/ML, and BIM represents an exciting frontier for the AEC industry. As scanning hardware continues to advance, smarter algorithms will amplify the utility of the highly detailed 3D data captured. The scan-to-BIM process is becoming faster, easier and more automated with groundbreaking AI - posing benefits for digital construction workflows across the USA. Reference Link : https://www.milestonetech.net/ End
Account Email Address Account Phone Number Disclaimer Report Abuse
|
|