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Intelligent system deployed and running on edge node devices extends cloud computing power to local edge nodes for executing intelligent computing on site. Users can obtain capabilities such as device access management, data nearby processing, AI deduction, etc. through edge computing nodes on device deployment site.Apply Now
Provide supporting service of device access, allowing users to develop different device service for different devices.
Local image detection module, caffe framework, supporting multiple AI modules and USB Camera. Support local storage and OSS storage for identification results.
By IoT Edge Computing, you can directly access various sensors and devices without Intelligent connection capability to IoT Hub service for management after connecting them to edge nodes. In the meanwhile, device data can be stored directly in edge nodes and JD Cloud OSS.
By deploying image detection module on edge nodes, you can collect images with your local camera devices, detect and identify these images by using different AI training sets. Results and images of detection will be automatically saved in your OSS and can be reused for marking and AI training to meet your increasing developed business requirements.