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  • The system is a cracknet software based on artificial intelligence deep learning and large-scale parallel processing. It has automatic disease detection function. It is the only intelligent pavement damage detection technology based on large-scale deep learning technology put into use in the world. At present, the user regions include the United States, Brazil, South Africa, Japan and China.
  • Using the Internet of things and cloud technology, sensors and IOT system are installed and deployed in the key positions of the bridge to sense the changes of important parameters of the bridge, and the analysis and overall evaluation of monitoring data are realized through the cloud health monitoring system software.
Main business product development Three dimensional intelligent pavement detection system
Three dimensional intelligent pavement detection system
2020.07. twenty-one
Three dimensional intelligent pavement detection system (pave3d)

It is mainly used for pavement damage, rutting, flatness, structural depth and other technical conditions detection. It is equipped with high-energy line laser imaging system and special filters. It has three-dimensional data collection and splicing, as well as automatic identification and analysis of diseases. It can be used for regular inspection of road and airport pavement completion acceptance, preventive maintenance and regular inspection Road asset survey provides comprehensive and efficient data support.

Main features:
1. High efficiency: the fastest detection speed can reach 100 km / h.
2. High precision: the depth learning algorithm is used to realize the automatic identification of pavement cracks, potholes and repairs, and the detection accuracy is 1 mm.
3. High recognition rate: the disease identification accuracy of intelligent automatic analysis system is more than 90%.
4. Multi function: realize intelligent identification and statistics of apparent diseases, flatness, rutting, staggering and other parameters, and automatically output PCI value.