BRIEF :
Traditional methods of tracking progress can be time-consuming, expensive, and prone to human error but with the use of AI new innovative solutions can tackle these challenges.
In this podcast interview with Abhishek Hiremath, we explore the intricacies of progress monitoring and BIM integration in construction projects. Abhishek sheds light on how Desapex utilizes AI and BIM technologies for effective progress monitoring, leveraging tools like cameras, scanners, and sensors. Delving deeper into the transformative potential of this integration, Abhishek envisions a future where AI-driven progress monitoring becomes standard practice in the industry. Join us for an insightful discussion as we uncover how these advancements are revolutionizing the construction industry. Tune in to learn more about the future of construction management and AI tools in the AEC industry.
The PODCAST :
We ( Alahbib & Konstantinos ) invited Mr.Abeshek to discuss the topic & to see at which level the market is now from a practical point of view since his practical experience at Desapex as a Digital Design Manager could help us understand where the market is heading and where these new innovative AI tools can be implemented.
Our Guest :
Abhishek Hiremath
Architecture Engineering, AI for Construction Progress Monitoring, BIM Modeling, Digital Design Manager @ desapex.com
1. Introduction of our Guest:
The special guest is Abhishek Hermat from Desapex, a digital engineering company. Abhishek is a digital design manager with over a decade of experience in BIM and construction management. His expertise lies in integrating digital technologies and AI into construction projects.
2. Impact of AI on Construction Management:
AI is defined as the simulation of human intelligence in machines, encompassing concepts like machine learning, computer vision, and deep learning. It’s applied in various aspects of construction, including structural health monitoring, workplace hazard detection, asset and material management, and construction progress monitoring.
3. Workflow and Tools for Progress Monitoring:
Using AI in Construction progress monitoring involves three stages: data collection, interpretation, and visualization. Data is collected from sources like drones, handheld devices, and radar scanners. AI aids in data interpretation through techniques like computer vision and machine learning, providing insights into project progress.
4. Transformation of Data into BIM Models:
AI is integrated with BIM tools to transform data into BIM models. Tools such as LIDAR scanners and point cloud data are used, with AI simplifying the process by labeling objects and reducing modeling time. This integration enhances efficiency and accuracy in modeling and as-built comparisons.
5. Future Role of AI in Planning and Monitoring:
AI is expected to lead in planning, monitoring, and reporting in real projects, optimizing various aspects like project management and scheduling. However, humans will continue to play vital roles, providing domain expertise, ethical judgment, and strategic decision-making alongside AI.
6. Encouragement for Adoption of AI in Construction:
AI offers significant benefits in construction, particularly in progress monitoring, where large datasets can be analyzed for informed decision-making. Encouragement is given for the adoption of AI technologies to improve workflow efficiency, reduce errors, and stay competitive in the industry.
CONCLUSION :
Abhishek Hermat’s insights show how AI is changing construction management. It helps keep track of progress and makes modeling easier and more accurate. In the future, AI will work alongside humans to plan and monitor projects better. Encouraging the use of AI as it helps to make work smoother and helps construction stay competitive. Working together, AI and humans will bring big changes to the industry.
From our point of view, We believe that the AI&BIM tools in construction progress monitoring hold great promise compared to traditional methods, as traditional methods are time-consuming, expensive, and prone to human error as mentioned.
However, the challenge lies in optimizing the workflow and harmonizing human-AI collaboration & AI-BIM integration.
SPOTIFY PODCAST will be available soon. Stay tuned!
Ref:
www.desapex.com
https://www.linkedin.com/pulse/ai-construction-progress-monitoring
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