Solution Overview

This solution integrates high-definition cameras, LiDAR, and high-precision positioning equipment into an onboard platform, and combines edge computing and cloud-based deep learning algorithms to achieve efficient collection, automatic extraction, and centimeter-level positioning of road assets (road surface, signs, guardrails, markings, light poles, etc.).
The system supports outputting standardized results that can be used in GIS, from raw images to structured asset lists, meeting the needs of various application scenarios such as daily road maintenance, asset inventory, risk assessment, and digital twins.

Core Values

To achieve "one map across the entire domain, integrated business operations, and intelligent decision-making," and comprehensively improve the efficiency of industry governance.

  • "Clear Visibility" - Asset Transparency

    Establish a digital ledger with "one map for overall overview and one code for each item" to make the quantity, location, status, and history of all assets clear at a glance, achieving 100% clarity of the bottom line.

  • "Meticulous Management" - Scientific Maintenance

    Transform passive emergency response into proactive early warning and predictive maintenance, optimize resource allocation, extend asset lifespan, and significantly reduce total life cycle costs.

  • "Accurate Judgment" - Data-Driven Decision Making

    It provides powerful data analysis and simulation capabilities, making decision-making processes such as maintenance planning, budgeting, and performance evaluation more data-driven, accurate, and efficient.

  • "Under control" - Operational collaboration

    Streamline internal management processes to enable online collaboration across departments and business units, thereby improving management efficiency and execution from problem discovery to closed-loop resolution.

Application Cases