Core technologies

Based on nearly two decades of experience in the highway industry, and combined with computer vision and deep learning technologies, we have independently developed a visual algorithm for the highway field. It has the ability to automatically identify, classify and quantitatively analyze road surface defects, road condition information and traffic facilities, and realize intelligent processing of the entire process from data collection and processing to result output, which significantly improves the efficiency and accuracy of inspection and detection.

01 Real-time recognition 基于小模型实现路面坑槽、裂缝、交安设施缺失等20+类病害/事件的毫秒级识别，覆盖沥青、水泥等多路面类型及山区、平原等复杂场景。
02 Predictive analytics 依托千万级道路影像训练的视觉-文本-时序大模型，预判病害发展趋势（如裂缝扩张速度）、车流量波动规律，为预防性养护提供决策依据。
03 High accuracy AI识别准确率≥92%，结合人工复核机制，数据质量通过交通部抽查，稳居省内前列。