Currently, most routine highway maintenance and inspection work still relies on traditional manual inspections, which are not only inefficient and costly but also highly subjective. Furthermore, the inspection results lack quantifiable and intuitive management and presentation methods, resulting in the ineffective accumulation of daily road maintenance data and making it difficult for management departments to comprehensively and promptly grasp the current state of highway maintenance.
In addition, the utilization rate of inspection results (such as videos and images) is low; these results are not applied to routine maintenance and other tasks, preventing the efficient accumulation of inspection data.
Innoview and Tencent Cloud have jointly built an AI-powered intelligent road inspection system based on artificial intelligence, edge computing, and high-precision positioning technologies. This system enables real-time accurate identification and analysis of road defects and visualized multi-dimensional data inspection results, guiding management and maintenance decisions. It helps promote the digital and intelligent transformation of road defect inspection and maintenance work, reducing costs and increasing efficiency, integrating next-generation information technology into the entire road maintenance process, and paving a path of technological innovation for safety and intelligence.