Unblind Your 3D Construction Data for Faster Decisions

Your mission is to avoid reworks, staying in budget & time frame. Our mission is to extract operational info out of your 3D datasets (drones, machines, lidars)

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Solving Challenges in 3D Construction Data Processing

The construction industry, particularly in road and railroad projects, is increasingly adopting 3D models, remote sensing and Machine Learning technologies to enhance surveying efficiency and quality control.

The use of point clouds and 3D models in this domain is becoming more common due to the precision and comprehensive insights these technologies provide. It doesn't come without challenges though.

Data acquisition & storage, preprocessing and calibration, data fusion, post-processing, machine learning, information extraction & decision support, all these have their own bottle necks that add up to significant challenges in automated workflows.

We are addressing the bottle necks in data fusion and information extraction using data science and machine learning. So you can focus on construction project management.

3D Data Conversion & Processing

Handling and processing large 3D datasets like BIM models and point-clouds can be challenging, requiring significant computational resources and advanced algorithms. An ifc file in road construction can be tens of gigabytes making it impossible to process with usual methods.

Interoperability Between Systems

Ensuring compatibility between different software platforms and hardware devices remains a key challenge, particularly in complex projects involving multiple remote sensing methods. In order to assure the files and processes are interoperable you have to make sure the data conversion from one format to another works and data flow through APIs is smooth.

Data Fusion for Master Database

Unifying diverse 3D construction data sources, such as point clouds, BIM models, and drone imagery, into a centralized master database is critical for seamless operations. By employing advanced data fusion techniques, Unblind creates a cohesive and actionable dataset, overcoming interoperability challenges. This process ensures all stakeholders access consistent, high-quality information for informed decision-making.

Information Extraction & Decision Support

Unblind leverages machine learning to extract critical insights from complex 3D datasets, transforming raw data into actionable intelligence. Through automated analysis, it identifies patterns, anomalies, and key metrics, empowering project managers with real-time decision support. This approach minimizes risks, enhances efficiency, and drives data-informed decisions in construction projects.

Lowering Overall Costs

These strategies collectively contribute to significant cost savings in road and railroad construction projects. Automated data fusion & analysis for operation information extraction improves measurement accuracy and enables early detection of defects. By focusing on automation, precision, and data-driven insights, you are not only reducing immediate costs but also enabling more sustainable, long-term savings across the entire project lifecycle.

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