A global construction industry leader asked Auriga to conduct research and development for a new system to monitor the integrity of building structures (anchorage loosening detection) in remote and seismic/landslide activeу zones (bridge pillars, tunnel constructions, power lines structures, etc.).
System architecture, optical system (HW) R&D.
Machine learning and computer vision algorithms for image recognition and optical distortion detection.
Experimental data samples collected into dataset.
Cloud-based backend server for image normalization, processing and measurement .
A set of microservices to support required workflow.
Android app as a frontend.
PoC developed and tested.
Using two-layered customized markers significantly enhanced detection resolution (up to 0.5 mm).
Optical system could be used on a quadcopter or drone for hard-to-reach places.
Android app manages all the workload for filed personnel.
Live demo developed in less than four months.
customized OpenCV library numpy
scikit-learn · REST API · Android
Auriga Scores 5.0 for Medical Imaging UI Design
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