Lucas León
CEO
INLOC Robotics
INLOC Robotics provides an AI-based sewer condition assessment tool, SEWDEF, which automates CCTV video analysis and report generation using computer vision and autonomous navigation techniques. This technology enhances sewer diagnostics and asset management for water utilities, improving operational efficiency and reducing maintenance costs.
- Artificial Intelligence
- Data & Analytics
- Industrial Automation
- Robotics
- Software Only
Updated today
Funding
Funding rounds are not available yet.
Founders
Lucas León
CEO
Product
Problem
Sewer inspection traditionally relies on manual review of CCTV videos, which is time-consuming, costly, and prone to human error, leading to inconsistent and potentially inaccurate assessments of sewer conditions. This can result in inefficient maintenance planning and increased risk of infrastructure failure.
Solution
INLOC Robotics offers SEWDEF, an AI-powered solution that automates the analysis of CCTV sewer inspection videos. Using computer vision and machine learning algorithms, SEWDEF automatically detects and classifies defects in sewer systems, providing objective, reliable, and replicable results that adhere to European standard 13508-2. This automated analysis reduces the need for manual video review, improves inspection efficiency, and enables data-driven decision-making for sewer asset management and maintenance. The platform also offers an online tool, SEWCAM, for manual defect detection.
Target Audience
The primary target audience includes water utilities, municipalities, and sewer service providers responsible for the inspection, maintenance, and management of sewer infrastructure.
Features
- Automated defect detection and classification in sewer inspection videos using computer vision
- Objective and reproducible analysis compliant with European standard 13508-2
- Cloud-based platform for easy access and collaboration
- Online tool for manual defect detection in sewer videos
- Reporting and data visualization tools for asset management
- Integration with existing CCTV inspection workflows
- Autonomous navigation techniques for sewer inspection robots (Engineering services)