Roxi’s algorithm automatically detects anomalies in concrete strength testing and verifies inputted maturity calibration data to assess accuracy of results.
Roxi evaluates the specified strength, slump, and air content of concrete mixes and provides producers with insights into optimizing their mix designs.
Roxi was the first artificial intelligence (AI) program created for concrete testing. It was developed in conjunction with the Montreal Institute of Learning Algorithms (Mila), Quebec’s World-Renowned Artificial Intelligence Institute. Roxi provides new insights into concrete performance by using machine learning algorithms. The program was built for Giatec’s patented, award-winning SmartRock™ wireless concrete sensor. SmartRock has been used in over 6,200 construction projects across 45 countries, giving Roxi access to millions of data points to analyze.
Roxi has been developed with the help of funding received by Sustainable Development Technology Canada (SDTC) and the National Research Council of Canada Industrial Research Assistance Program (NRC IRAP).