D-Visions' Automated Detection & Classification Algorithm Convolutional Neural Networks (CNN) has DICE Score of 95% and can detect cracks in completely shadowed and dark environment. Furthermore quality control validation embedded into each step of the process.
D-Visions' Solution is a fully automated workflow minimizing human error with maximum status observability and control. Our solution includes, automated AI-based pavement distress detection & classification system, automated sensors, and components connectivity check and re-check preventing missing data elements, and reducing the potential of recollecting, and automatic reports generator.
D-Vision developed a cost-effective image-based data collection solution that compared to other exicting laser-based solutions is both more accurate and economical allowing our services a compatitive advantage.
Backed with D-Vision's IT and engineering team we are tailor-made solutions to our customers according to their specific needs.
Business partner, USA.
State-wide survey in California, USA.
NJ Morris County, USA.
SH360 Texas State Highway Toll Road
To schedule a product demo and get a quote from one of our product consultants, please fill in your contact details
Tel: +1 (646) 295 5311
2285 E 19th St. Brooklyn, NY, 11229, USA