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Scan-to-BIM Panel Discussion (full version)

ODA#Open Design Alliance#3D#2D#Software#Software development#Development Tools#BIM#scan-to-bim#panel discussion
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💫 Short Summary

The video explores the use of scanning technology in creating 3D point cloud data for building information models (BIM). It discusses the increasing demand for scanning technology in renovation projects, optimizing space layout in construction, and documenting as-built conditions for remote teams. The importance of precision in scanning old structures, the challenges of converting scans into models, and the potential for automation in data capture processes are highlighted. The discussion emphasizes the need for collaborative efforts among stakeholders to streamline workflows, the integration of AR and VR with scans and models, and the future potential of 5G technology and self-driving vehicles in data collection for the built environment.

✨ Highlights
📊 Transcript
Panel discusses Scan to BIM concept.
01:12
Lidar scans used to create 3D point cloud data converted into building information models.
Industry needs more powerful tools for faster and accurate conversions.
Software development in Scan to BIM has matured, but still room for improvement.
Overview of current Scan to BIM usage, frequency of creating models, and future trends discussed.
Increased demand for scanning technology in renovation and restoration projects.
03:34
Scanning technology is now a standard requirement in most recent projects.
The greatest value of scanning technology is in retrofits and renovations.
Detailed understanding of integrating scanning technology into current processes is crucial for successful implementation.
Use of laser scanning technology in distribution centers and construction projects.
05:59
Laser scanning technology is used to optimize space layout and capture as-built conditions.
Point cloud technology and drones are utilized for large-scale sites, providing valuable information for coordination.
The process can be time-consuming and requires trade partners with the capability to work with point clouds directly.
Conversion to BIM models is essential for aviation projects and other large spaces, supporting project efficiency and accuracy.
Importance of scanning for documenting as-built conditions in buildings for remote teams.
08:44
Challenges of accessing accurate information and the need for confidence in knowing what's out there.
Scanning process allows professionals to bring the field to them, increasing efficiency and precision in construction projects.
Driving construction processes from high-fidelity models ensures structures like baggage handling systems fit correctly the first time.
Emphasis on the significance of existing conditions for large firms and projects.
Importance of Precision in 3D Scanning for Retrofitting Projects
11:15
Emphasis on the cost savings and efficiency of using 3D scans for retrofitting projects.
Need for efficient tools to capture small spaces without physical presence of a team.
Prevalence of 3D scanning in existing condition projects and its impact on decision-making.
Exploration of different processes for scanning, including in-house scanning, third-party services, and data translation.
Importance of scanner availability and laser scanning in project complexity.
14:30
Time-consuming process of creating models from scans, especially with multiple projects ongoing.
Involvement of third-party consultants for model creation from scans.
Growing customer interest in scans beyond construction for future reference.
Desire for ability to revisit scans and track building development over time.
Increasing trend in using point clouds for data and information tracking in historical project development.
15:52
Field verification conducted at construction milestones to monitor building progress.
Scans used to closely follow construction schedules, with equipment either leased or owned for scanning purposes.
Automation helps in registration capabilities, reducing time needed for scanning.
Architects often outsource scanning and modeling work, preferring outsourcing models for time and cost efficiency.
Outsourcing 3D scanning and creating BIM models for projects.
19:11
Importance of accuracy in models, particularly when the building's structure varies.
Challenges faced when existing scans from clients differ from actual conditions.
Benefits of overlaying the scan and model for project visualization.
Potential for facility management to track building evolution over time.
Use of laser scanning in construction projects for renovation spaces.
21:50
Laser scanning is used to capture accurate as-built data, check slab placements, and document construction progress.
Challenges exist in converting point cloud data into models due to lack of significant efficiencies in automatic feature extraction software developments.
More efficient methods are sought for handling large projects like airport terminals and baggage systems.
Collaboration with third-party partners is common for extensive projects in the industry.
Importance of understanding piping and walls in filtering automation processes.
24:32
Lidar scans are used to differentiate between car, building, and vegetation in filtering automation processes.
Challenges include managing large data sets and noise in point cloud data.
Cost and time associated with making and converting scans can be significant.
Different stakeholders may face feasibility issues with implementing these technologies, with architects focusing on design and contractors seeking efficient solutions.
Importance of making scan data consumable and available across platforms.
27:47
Challenges of consuming and transferring scan data, stressing the need for optimized accessibility.
Providing tools and platforms for easy utilization by members, rather than relying on individual vendors.
Goal to enable seamless travel of information between platforms, including smartphones and tablets.
Efforts to deliver data in a consumable format to clients, particularly on web and mobile devices.
Importance of metrology in measuring and extracting data from scanned devices.
29:54
Emphasis on geo-referencing scans to specific locations to make data consumable and extensible in design and construction.
Highlighting the high entry cost of in-house laser scanning equipment and the complexity of registering and editing scanned data.
Simplifying the process of working with meshes.
Increasing use of laser scans in various industries.
Importance of a holistic approach in the industry to streamline workflows.
31:53
Utilizing technology like iPads for scanning and integrating with third-party solutions.
High entry barriers leading to underutilization of potential solutions.
Advocacy for collaborative efforts among stakeholders to find optimal solutions collectively.
Benefits of harmonizing workflows across various stakeholders for industry advancement and efficiency.
Importance of automating data capture processes for efficiency in a business setting.
34:47
The need for software that can convert large amounts of data into a more manageable model for teams to work with.
Challenges of preparing models for projects and the variety of tools available in the industry.
Necessity of bringing collective ideas together into a simple solution for effective data capture.
Significance of visualization for clients and team members to quickly understand space, and the importance of data translation across different platforms for accessibility.
The efficiency of converting scans to BIM and the various requirements depending on the use case.
37:34
Options for conversion include using meshes, point clouds, or actual constructive solid geometry in a BIM system.
User control over the conversion process and the level of detail is crucial.
Software complexity increases in BIM when differentiating between various object types like electrical conduits and pipes.
The potential role of artificial intelligence in achieving higher granularity is highlighted.
Challenges of distinguishing between seats and the floor in a densely packed theater.
40:21
Manual scanning and mesh creation are necessary to solve the issue.
Clients are interested in point cloud data but struggle with sharing large amounts of data.
The future of technology involves integrating AR and VR with scans and models.
AR has the potential to enhance information display and accessibility, with a focus on cloud-based processing and mobile device use.
Growing market for consuming data through devices like smartphones and smart glasses.
43:11
Applications include field operations, facilities management, and first responder scenarios.
Potential future universal format for point cloud data accessible to all, benefiting workflows and construction projects.
Use of Apple AR tags raises questions about potential mapping of environments without user knowledge.
Benefits of digital twins and laser scans in construction projects.
45:11
Digital twins and laser scans allow for constructability reviews, hypothetical scenarios, and quicker inspections.
Inspectors can use laser scans remotely for expedited inspections and make notations without being on-site.
This technology has the potential to streamline workflows, enhance accuracy, and improve project efficiency.
The accuracy of results from laser scans is crucial for decision-making and project outcomes.
Importance of efficiently scanning and locating shifted walls in buildings to avoid non-conforming conditions.
47:40
Liability and financial risk associated with non-conforming conditions are major concerns for projects and companies.
Emphasis on potential automation of capture process, registration, and data analysis using robotics and cloud technology for increased efficiency.
Focus on making the scanning process more proficient, repeatable, and precise through artificial intelligence to streamline workflows.
Goal is to add value to projects by improving accuracy and effectiveness of wall scanning.
Rise of 5G Technology and Self-Driving Vehicles
51:11
The advancement of technology is leading to increased data collection on the built environment.
Data gathered by autonomous vehicles like drones and future Uber helicopters provides opportunities for leveraging big data.
Optimizing lidar data from these vehicles could offer valuable insights and applications.
The discussion ends with gratitude for feedback and anticipation of future developments in this area.