Case Study

Industrial Measurement

Reducing the hassle of managing spaces using Computer Vision

Will Perkins

Business Challenge

Gathering accurate measurements of an industrial space can be an expensive, time-consuming process. Often, a professional surveyor needs to be contracted along with expensive equipment and hourly fees. Optionally, a non-qualified surveyor can manually perform specific measurements, but this process can result in incorrect measurements (i.e. a miscommunication of what is to be measured).

There can be many obstacles to obtaining an accurate measurement, such as: unforeseen obstructions or miscommunication of requirements. Individual measurements can be error-prone and may lack important contextual information.

“3D reconstruction and modelling can either be performed on-device or in the cloud”


Laan Labs approaches industrial measurement by capturing an entire space using low-cost mobile hardware- either a mobile phone or more sophisticated sensors, depending on budget & technical requirements. Using a combination of point cloud fusion, photogrammetry, and machine learning, Laan Labs creates a 3D representation of a space that can then be used to generate a CAD model, or further analyzed (i.e. performing object detection or semantic segmentation). 3D reconstruction and modelling can either be performed on-device or in the cloud. A web-based application can be used to view, modify, and share interactive spaces via a standard web browser or mobile phone.

Business Value

Working with full-space captures reduces erroneous measurements/mapping, saving both time & money. Additionally mapping a space unlocks the potential for many spatial applications.

The use of automated industrial measurement is relevant in many contexts, including:

  • Transportation Systems

  • Ventilation & HVAC Systems

  • Fire Safety Arrangements

  • Staff and Worker Space Allocation

Technologies Utilized

Computer Vision, CAD, iOS/Android, Python, Google Cloud Platform

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