Provide the government with integrated convenience hotline system. Citizens have the needs of various government affairs and conveniences. They only need to call the convenience hotline to coordinate and supervise relevant departments to deal with them. 12345 Convenience Hotline Call Center Platform Mirror Product Introduction 12345 Convenience Hotline Call Center Platform includes seven major modules. Let's show each large module: 1 Call Center subsystem call center subsystem includes IVR diversion, call system work work

Digital Liantong is a dynamic simulation user behavior to realize the data intelligent robot of the application system data collection and reporting process automation (RPA) and service (DAAS). Code, fast start. Product introduction: Digital Liantong (DLT) is an AI+DAAS+RPA capability jointly developed with the Institute of Smart City, the University of Science and Technology of China

This product is an image AI Jianhuang system based on FPGA technology. The independent FPGA framework design based on Vismarty can handle the number of high -definition pictures in one hour of a single server. Essence This product is an image and video intelligent yellowing system based on FPGA technology. Through learning and analyzing image content, it can accurately identify whether the video and images are involved in yellow, and the model accuracy is as high as 0

Intelligent driving/unmanned driving sensor data set. Including original data, labeling data. Scenes include high -speed roads, urban roads, ramps, rural roads, damaged roads, national test area roads, etc. Passenger vehicle road data. Data introduction this raw data, through the construction of Huawei octopus autonomous driving data processing platform, the original data is based on the frame of the Changsha Double 100 test road and the data of the national intelligent network test site.

Institutk's problem of complicated types of copper -covered plate defects and low classification accuracy is the problem. Based on on -site big data quantity sample pictures, design deep learning classification models, and training to obtain a copper -covered plate defect classification model with a small amount of calculation and high accuracy. The copper -covering board manufacturing industry has large investment, high output, advanced equipment control, and product testing of products is the last process of quality control. Due to the large area of ​​the copper cover, the production speed is fast, the surface defect characteristics are small, and the eyes are