System for automated measurement of surface cracks
The present invention relates to a system for automated, non-contact detection and measurement of the presence and severity of surface lesions, for example cracks or fissures. The measurement system, through the acquisition of a single image, is capable of accurately detecting and measuring the geometric characteristics of the crack in the image. The system can be equipped with remote-guided systems, allowing multiple uses and scenarios.
The invented system is able to detect surface cracks and measure their geometric characteristics (e.g. thickness and length) through the analysis of a single image by exploiting analytical computer vision and artificial intelligence algorithms. The thickness is assessed perpendicular to the center-line of the crack. The system can be fitted to remotely-guided systems, such as drones and robots, so that it can be used for large-scale inspections and monitoring, in places that are difficult for the operator to reach or in high-risk locations. In addition, the system works completely autonomously, without the use of parameters or thresholds, so it can also be used by non-expert operators and equipped in mobile applications. The actual invenction TRL is 6 or more.
- Surface inspections
- Structural inspection
- Surface quality control
- Defect detection
- Measurement of geometric characteristics of cracks through single image acquisition.
- Non-contact, fully automatic measurement of surface cracks.
- Can be equipped with remote control systems (drones, robots).
- Intuitive measuring system, also usable by non-expert operators