Telesto™ is an advanced subterranean asset mapping solution developed by Headlight AI, designed to inspect and map underground infrastructure, particularly water and wastewater systems, even in GPS-denied and low-light environments. This integrated multi-sensor system combines LiDAR technology with high-definition imaging and artificial intelligence to deliver comprehensive 3D maps and condition assessments of subterranean assets.
Key Features and Functionality:
- Multi-Sensor Integration: Telesto™ utilizes a combination of LiDAR scanners and low-light cameras to capture detailed 3D point clouds and high-definition images, providing a holistic view of underground structures.
- Artificial Intelligence Analysis: The system employs AI algorithms to detect and locate defects such as calcification and exposed aggregate, enhancing the accuracy and efficiency of condition assessments.
- Automated Condition Reporting: Telesto™ automatically generates condition assessment reports, streamlining the reporting process and reducing manual labor.
- Subterranean Deployment: Designed for versatility, Telesto™ can be mounted on robotic or floating platforms to survey both dry and flowing assets, capturing up to 2 kilometers of data per day.
- Enhanced Safety: By minimizing the need for personnel entry into confined spaces like sewers and culverts, Telesto™ significantly improves worker safety during inspections.
Primary Value and User Solutions:
Telesto™ addresses critical challenges in underground infrastructure management by providing accurate, efficient, and safe inspection and mapping capabilities. Its ability to operate in GPS-denied and low-light conditions ensures comprehensive data collection where traditional methods fall short. The integration of AI-driven analysis and automated reporting reduces the time and cost associated with manual inspections, while the detailed 3D mapping supports predictive maintenance strategies. Ultimately, Telesto™ empowers utility companies, contractors, and infrastructure managers to make informed decisions, enhance operational efficiency, and ensure the longevity and safety of underground assets.