Cyvl's technology offers a proactive approach to road maintenance by identifying and assessing potholes in real-time. Our comprehensive data collection and analysis contribute to efficient road upkeep.
Timely detection of potholes leads to safer roads, minimizing accidents and vehicle damage. Cyvl's solution supports the well-being of motorists and pedestrians alike.
By identifying potholes before they escalate, municipalities can optimize repair efforts and optimize resource allocation. Cyvl helps you achieve more with your budget.
Access accurate and up-to-date pothole data to prioritize repairs, improve road infrastructure, and enhance overall transportation systems. Cyvl empowers informed choices.
1) Vehicle-Mounted Sensor: Automates 3D LiDAR and street view imagery data capture for large projects. Easily collect high-quality infrastructure data at normal driving speeds.
2) AI Data Processing: Builds a classified 3D model of the environment from sensor data.Automates inventories, change detection, and measurements.Utilizes: 3D LiDAR Scans, High Resolution Imagery, and GPS.
3) Actionable Results: Results are made available quickly via our web based platform.Your data can be integrated easily into your existing softwares.
Currently we support pavements, signs, trees, buildings, paint markings, streetlights, and utility poles. We are constantly adding new features so be sure to reach out to get our most up to date list of capabilities.
LiDAR: 360 degrees, 1.3 million points per second, 120 m range, ± 0.7 – 5 cm precision
Camera: 2k resolution, images captured every 20 ft, 360 degrees interactive street view
GPS: RTK level global accuracy, further improved with aerial imagery fusion
Yes. Cyvl's algorithms are capable of ingesting and processing LiDAR and imagery data from a wide variety of laser scanners, cameras, and mobile mapping systems. Get in touch to learn if your hardware is compatible.
Our trained engineers inspect all deliverables after they are processed by our AI and before they are sent to our customers. We have established human in the loop quality assurance processes that are standard in all AI companies to ensure accuracy.
For an average sized job, we are able to turn around high quality deliverables in about 2 to 4 weeks. If we ever anticipate a particularly large job taking much longer, we will be sure to communicate this with your team.
Better data.
Better decisions.
Better infrastructure.
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