DP-Pro, a publication for damage prevention professionals, has highlighted Argis Solutions’ collaboration with Indigo Beam and the City of Houston to create this cutting-edge system of data analysis using machine learning (ML) and computer vision (CV).
The City of Houston’s investment in the developing technologies of CV and ML has streamlined their process for determining the pavement conditions of their massive 15,000 road lane miles. The use of CV and ML reduces the need for human analysis of large data sets, continuously improving itself as more data is captured.
The system continues to be fed thousands of images and videos, allowing operators to make quality decisions regarding their roadways.
The benefits for the City of Houston include better cost analysis and quotes for resurfacing projects and a more sophisticated evaluation of various needs, like neighborhood assessment, allowing for better operational efficiency, citizen satisfaction, and potential for predictive planning.