Hardware accelerated point cloud streaming with LattePanda Alpha and Realsense D400
bmegli 2020-02-07 09:22:24 10543 Views1 Replies This is more a technology than cool project.
It takes advantage of the fact that Kaby Lake (in my case LPA with m3-7Y30) is the first Intel architecture that supports hardware accelerated HEVC Main10 (10 bit encoding).
LattePanda Alpha grabs data from Realsense D435 depth camera, hardware encodes it to HEVC Main10 and streams over WiFi.
The other PC (e.g. laptop) receives the data, decodes it, unprojects detph map to point cloud and renders in realtime.
More information in above video description, including links to repositories with source code.
It takes advantage of the fact that Kaby Lake (in my case LPA with m3-7Y30) is the first Intel architecture that supports hardware accelerated HEVC Main10 (10 bit encoding).
LattePanda Alpha grabs data from Realsense D435 depth camera, hardware encodes it to HEVC Main10 and streams over WiFi.
The other PC (e.g. laptop) receives the data, decodes it, unprojects detph map to point cloud and renders in realtime.
More information in above video description, including links to repositories with source code.