EBOOK

How AI-Driven Asset Detection is Elevating Fixed LiDAR Over SLAM

In this e-book you’ll discover: 

  • Why Fixed LiDAR Is Making a Comeback: Readers will learn how fixed LiDAR systems, once seen as outdated, are re-emerging as essential tools for AI-driven workflows requiring high data fidelity, stability, and spatial consistency.

  • The Hidden Limitations of SLAM: The paper outlines where SLAM-based mobile mapping falls short—particularly in precision, repeatability, and long-term asset monitoring—despite its speed and flexibility.

  • How AI Demands Better Data: Discover why AI-based asset detection models need dense, noise-free, and consistently captured data—making fixed LiDAR a superior input source for scalable and accurate AI performance.

  • Real-World Comparisons and Use Cases: Through case studies, readers can explore practical comparisons between SLAM and fixed LiDAR in applications like railway inspections, bridge monitoring, and utility asset tracking.

  • Evolving Economics and Workflow Impacts: We explain how advances in edge computing and cloud integration have reduced the cost and complexity of fixed LiDAR systems, making them more viable for continuous sensing and digital twins.

  • Cintoo’s Role in Enabling AI-Ready Infrastructure: Readers will see how Cintoo’s cloud-native platform supports high-resolution data management, consistent AI input, and collaborative workflows—positioning it at the forefront of this precision-first shift.
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“At the heart of my philosophy is the conviction that reality capture data has immense value. Thanks to the seamless integration of a scan and a workflow, Cintoo has effectively transformed this conviction into a tangible reality."

Denis-Pascal Carrere
3D Scanning, Equans
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Cintoo allows us to easily confirm that what we are modeling is accurate. There’s no other real solution on the market that is doing the same thing.”

Myles Martin
Principal, M3 Design Group
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“Cintoo for us has really democratized point cloud data so that it becomes the deliverable standard.”

John Brown
Supervisor, Reality Capture, General Motors