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Equipment
Intelligent highway inspection machine
The intelligent highway inspection machine is an intelligent detection device developed for highway management and maintenance scenarios, focusing on pavement disease identification and digital management of roadside assets. The device integrates a high-performance edge computing unit, a centimeter-level high-precision positioning module, and a high-definition image acquisition module, enabling real-time acquisition of panoramic information of the road area under high-speed traffic conditions. It automatically identifies key information such as pavement diseases, road assets, abnormal events, and potential safety hazards on the road, realizing the transformation and upgrading of highway inspection operations from manual inspection to intelligent perception, automatic identification, and precise positioning.
Through intelligent detection and data-driven analysis, this equipment can significantly enhance the efficiency of routine inspection and maintenance operations for highways, optimize the precise allocation of maintenance funds, shorten the response time for discovering hidden dangers and handling emergencies, and provide solid technical support for refined, intelligent, and normalized operation and maintenance management of highways.
Share:
Accurate detection:
Lane level positioning: RTK+inertial navigation+GPS, centimeter level accuracy, supporting dynamic tracking of diseases;
Pixel level analysis: automatic output of disease location, category, and size, with a recognition rate of>95%;
Full process automation:
Run and calculate at the same time: generate real-time disease reports at the front-end edge;
Efficiency Revolution:
Speed improvement: The maximum detection speed for bicycles is 100km/h, and the efficiency is increased by more than 10 times;
Closed loop management: disease identification → automatic dispatching → maintenance decision-making → effect tracking;
Multidimensional empowerment:
GIS linkage: real-time interaction between video and map, supporting remote monitoring;
Data Fusion: Integrating multiple sources of information to drive scientific decision-making and effectively reduce costs;
