Population statistics system based on edge calculation and variable scale Gaussian mixture model

I&T Solution Population statistics system based on edge calculation and variable scale Gaussian mixture model
(REF : S-1019)
Trial Project
Solution Feature
  • The edge computing device is developed based on NVIDIA Jetson platform can be flexibly deployed and compatible with mainstream camera streaming media format
  • Population statistics system based on edge calculation and variable scale Gaussian mixture model
  • Multiple CNN models can be run in one edge device
  • The edge device can support up to 8 1080p cameras for real-time video stream and run vision recognition in the same edge device
  • Provide a digital visualization platform deployed in SASS to show edge computing results and upload events
Trial Application and Expected Outcome
  • Deploy edge computing terminals proportionally according to the number of cameras
  • Deploy a trained algorithm model on the edge device, connect the camera video stream, and run full function test on edge device
  • Select the communication mode of uploading events and calculation results to the cloud
  • Deploy SASS digital visualization platform to collect and show edge calculation results
  • Keep training model iterating according to the actual samples to continuously improve accuracy
Additional Solution Information Population statistics system based on edge calculation and variable scale Gaussian mixture model.pptx
Info on I&T Solution Provider
Solution Provider:Shanghai Neuvix Intelligent Technology Co., Ltd.
Address:Room 7301, 7#building No1687 Changyang Road,Yangpu District,Shanghai,China
Contact Person:Jason Yu
Position:GM
Tel: 86-13564353225
Email: yuyanan@neuvix.cn

For details of the above I&T solution, please contact the I&T solution provider.