Straintest provides photo‑based 3D structural monitoring, enabling engineers to measure displacement of joints, cracks, and bearings using standard cameras, phones, or drones. The platform delivers full structural analysis and workflow management through a virtual sensor and project hub, supporting portfolio, drone, and extreme environment monitoring. By leveraging computer‑vision algorithms, Straintest offers high‑precision, scalable solutions for civil infrastructure inspection.
Funding
Funding not disclosed
Founders
Product
Problem
Concrete structures are susceptible to cracking due to various factors like elastic deformation, soil settlement, and chemical permeability, which can compromise their integrity and safety over time. Traditional structural health monitoring methods are often complex, costly, and difficult to deploy at scale, hindering timely detection and mitigation of structural issues.
Solution
Straintest offers a photo-based structural health monitoring system that enables precise, cost-effective tracking of crack evolution in concrete structures. The system utilizes small, easily installed targets placed on either side of a crack, which are then photographed periodically. These images are processed to generate 3D time-evolution reports, providing civil engineers and property managers with detailed insights into structural movements with sub-millimeter precision. By monitoring these movements, Straintest helps users understand the causes of cracks, plan maintenance, and preserve the integrity of buildings, bridges, and other infrastructure.
Target Audience
The primary target audience includes civil engineers, infrastructure managers, property owners, and real estate developers responsible for maintaining the structural integrity of concrete buildings, bridges, and other infrastructure.
Features
- Photo-based monitoring system for easy data acquisition
- Small, non-invasive targets for simple installation without screws
- Sub-millimeter precision 3D movement detection
- Cloud-based platform for generating evolution reports from uploaded images
- AI-based analytics engine for automated feedback and mitigation advice
- Integration with drone technology for monitoring hard-to-reach locations
- Long-term monitoring capabilities for tracking structural health over extended periods