At Tiecken Solutions, we leverage advanced Computer Vision, 3D LiDAR analysis, and Document Intelligence to turn complex visual data, point clouds, and engineering documents into actionable intelligence.
No two infrastructure organizations, inspection workflows, or data pipelines are identical. At Tiecken Solutions, we avoid generic off-the-shelf software and focus on dedicated, client-specific solutions.
We thoroughly analyze your operational challenges, existing software architecture, and data formats upfront. Whether dealing with rail track visual inspections, 3D LiDAR datasets, or technical documentation, we engineer and deploy AI models tailored specifically to your needs.
At Tiecken Solutions, we transform complex visual datasets, 3D point clouds, and documentation into automated, actionable insights. We empower organizations to perform asset inspections, safety audits, and maintenance planning faster, safer, and with higher precision using Computer Vision and AI.
High-speed 2D image recognition & asset inspection
3D point clouds, clearance profiling & Scan-to-BIM
Autonomous AI agents & automated data pipelines
Document AI & technical specification analysis
Proven AI applications and real-world projects covering image recognition, 3D point cloud analysis, and GIS localization. Click any visual to enlarge.
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Development of a Computer Vision model that automatically detects overhead line (catenary) components from high-speed imagery. Significantly accelerates inspection routines and ensures consistent object classification.
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Automated detection and high-precision positioning of insulated rail joints (IRJs) using two complementary localization methods: GeoTIFF mapping with top-down linescan cameras and triangulation across forward-facing camera feeds.
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Automated vision-based system to verify the position of catenary tension counterweights safely from a distance, removing the need for inspectors to enter active track areas.
Image segmentation application that detects insulation layers within rail joints. Using calibrated pixel scaling, the system calculates the exact minimum thickness and identifies structural wear.
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3D point cloud segmentation model that classifies rails, overhead lines, and vegetation. Calculates millimeter-precise clearances between vegetation and critical rail assets to optimize trimming schedules.
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Infrastructure asset identification using both Bird's-Eye-View (BEV) projections and direct 3D spatial object recognition—ideal when 2D camera footage is occluded or height metadata is essential.
Combining 3D point clouds with high-precision GPS and IMU data (pitch, yaw, and roll). A virtual vehicle gauge clearance model traverses the point cloud to identify potential infrastructure collisions.
Large-scale 3D point clouds hold valuable insights for rail network operators, engineering consultancies, and contractors. Our AI algorithms automatically process millions of LiDAR points into classified spatial objects and clearance analytics.
Furthermore, we continually invest in R&D for automated Scan-to-BIM workflows, enabling faster conversion of raw 3D point cloud data into structured CAD and BIM models.
Automated detection of rails, vegetation, signal posts, masts, and overhead wires in LiDAR point clouds with millimeter-grade clearance measurements.
Our innovation roadmap focuses on converting 3D LiDAR point cloud datasets into structured, open-standard 3D BIM models (IFC) for civil infrastructure.
Autonomous AI agents and RAG pipelines designed to search, analyze, and integrate complex technical specifications, standards, and engineering reports into your workflows (including local / on-premise deployment).
Pragmatic AI, Computer Vision, and inspection software developed for and in partnership with leading infrastructure and rail operators.
"Tiecken Solutions is the partner with which Strukton Rail develops and implements groundbreaking, railway-related innovations in a pragmatic way. Innovations that are conceived and rolled out together with our operations."
Managing Director Strukton Rail Nederland
In collaboration with IGL (Masters in Measurement), we developed advanced Computer Vision algorithms for automated detection and high-accuracy geographic positioning of insulated rail joints (IRJs) across railway networks.
Geodesy & Rail Engineering Firm
Personal commitment, deep AI expertise, and extensive domain experience in rail engineering and civil infrastructure.
Specialized in Computer Vision, Deep Learning, 3D LiDAR processing, and building custom AI software for railway inspections and smart asset management.
Connect with Sjoerd on LinkedIn
Extensive experience in rail engineering, measurement technology, innovation, and process integration in complex infrastructure projects.
Connect with Jacques on LinkedIn