• Automated Road Inspection

    Proactive management of road deterioration is crucial for maintaining safe and efficient transportation networks. With the growing integration of AI-driven tools, the ability to detect and address road defects has become significantly more advanced. RUBIX offers a suite of customizable inspection and inventory solutions, incorporating cutting-edge AI technologies that can automatically identify issues such as cracks, potholes, and surface deformations in roads. These AI-powered tools enhance the precision and speed of inspections, reducing human error and enabling real-time assessments through image analysis.

  • Automated Sign Detection

    Sign detection and classification using AI from mobile images has significantly advanced road and traffic management systems. By capturing images with mobile devices or action cameras, AI algorithms can automatically detect and classify various types of signs, such as traffic signals, regulatory signs, or hazard warnings. These AI models are trained to recognize different sign shapes, colors, and symbols, ensuring accurate identification even in varying weather or lighting conditions. This automation reduces the need for manual inspections, increases data processing speed, and allows for real-time updates in navigation systems or infrastructure databases. With the ability to track the location of detected signs, this technology enhances road safety and maintenance by ensuring proper visibility and compliance with traffic regulations.

  • Automated Trail Inspections

    Automated trail inspections uses images captured from a smartphone or action camera to quickly detect issues like cracking, distortion or other damage, enabling faster maintenance and safer trails. This technology streamlines reporting, reduces manual labor, and improves trail management for long-term sustainability.

  • City of Tournai – AI Pavement Inspection

    The project for the pavement inspection of the streets of Tournai, commissioned by the City of Tournai’s Technical Service, took place from April to December 2023. The initiative involved segmenting street axes and conducting a mobile mapping survey using 360° imaging alongside high-resolution pavement capture. Road signs were also mapped as part of the process. [...]

  • Culvert Inspections

    Culvert and Bridge inspections have become more efficient with the use of tablets, allowing inspectors to streamline their workflow. Using the rInspector app, inspectors can conduct detailed assessments of culverts by capturing high-quality images on-site and recording key information in real-time. This digital approach not only improves accuracy but also saves time by eliminating the need for manual paperwork. Once the inspection is complete, the collected data and images are seamlessly uploaded to RUBIX. This integration enables immediate access to the inspection data, helping teams quickly analyze conditions, generate reports, and schedule maintenance as needed.

  • Gravel Road Inspection

    Rival offers a variety of solutions from its core RUBIX platform to conduct roadway condition surveys low volume roads. The goal of these solutions is to provide simple condition assessment capabilities with rapid data turnaround. Standards such as PASER or customized business rules are used to log condition data on such roads while keeping mobile.

  • Haul Road Condition Monitoring

    Proactive monitoring of haul road conditions uses automated technologies to continuously assess road integrity. This approach helps identify issues such as surface wear, erosion, or drainage problems early, ensuring timely maintenance, reducing downtime, and reducing cycle times for heavy vehicles.

  • MAMH Intervention Plan

    In 2014, the new guide for Developing an Intervention Plan for the Renewal of Drinking Water, Sewer, and Pavement Infrastructure came into effect in Quebec. Rival Solutions has developed a comprehensive product to facilitate inspection requirements for Pavement Infrastructure.