AI-InfraSolutions offers an automated solution for detecting and classifying traffic signs.

This system utilizes proprietary Mobile Mapping vehicles and AI technology to collect detailed information about the location, condition, and type of traffic signs. The data is processed in Spatiall Studio and can be delivered in 2D or 3D formats, contributing to sustainable management and traffic safety. Additional information, such as damage or aging over time, can also be recorded.

Our AI Lens for surface layers provides automated terrain classification, delivering valuable data for urban planning, infrastructure development, and environmental analysis.

By leveraging AI and LiDAR data, terrain and surface types can be accurately detected and classified, enhancing efficiency in project planning and promoting cost savings. The results can be delivered in 2D, 3D, or as a data layer in GIS systems, making it essential for projects such as Fiber-to-the-Home initiatives.

Our AI Lens for trees offers automated detection and analysis of trees, including their location and size.

Using AI and sensor technology, precise data is collected to support urban green space management and infrastructure project planning. The results can be integrated into 2D and 3D visualizations, providing valuable insights for sustainable green management and ensuring safety around trees.

This model provides automated detection and analysis of road damage, such as cracks and subsidence.

Leveraging AI technology and high-quality image sensors, road damage can be identified and classified quickly and accurately. This supports efficient maintenance planning and enhances traffic safety. The data can be integrated into infrastructure management systems, enabling timely and cost-effective resolution of road issues.

This solution focuses on the automatic detection and analysis of road markings.

Using AI and image processing technology, road markings are accurately identified, classified, and assessed for quality. This ensures their visibility and effectiveness, which are crucial for traffic safety. The collected data can be used for maintenance planning and ensuring an up-to-date road infrastructure.

We also offer automated inspection and analysis of light poles.

Based on the data the condition and location of light poles can be accurately detected and recorded. This helps in efficiently planning maintenance and enhancing public safety by ensuring proper lighting functionality.

Sustainable Maintenance, Better Roads

It is increasingly impossible and unsafe to determine road quality on-site through visual inspections and measurements. Inspections are labor-intensive, and the results are subjective. AI-InfraSolutions offers a new approach. By combining large-scale data collection with data enhancement through artificial intelligence, AI-InfraSolutions provides a comprehensive solution to accelerate processes. We have our own Mobile Mapping vehicles and sensors for large-scale data acquisition, allowing us to accurately map roads.

We deliver the collected data directly AI-ready. With our AI solutions, road damages and road-related objects such as traffic signs, road markings, street lighting, and guardrails are efficiently extracted from the data, including their location, type, condition, and context. The results are objective, consistent, and uniform, making them easy to compare and enabling quick detection of changes. Specialists can work faster with the foundational information provided by AI-InfraSolutions. Reliable and verifiable inspection results ensure that our clients implement the right maintenance measures.