I have also played with specialized machine learning (ML) acceleration hardware for computer vision with projects like Google's AIY Vision Kit and Intel's Movidius on the client side. Edge ML is powerful, but it has performance limits compared to scalable server-side approaches where you can add more and bigger processors.
Tag: webrtcHacks
Experimenting with running computer vision locally in the browser using TensorFlow.js has been on my bucket list to play with as part of my regular AI in RTC research. The recent warnings to avoid touching your face got me thinking there should be some kind of webcam monitor that
Earlier this month I joined Arin Sime of WebRTC.ventures for the regular WebRTC Live! webmiar series. I talked about the state of WebRTC and recent WebRTC Hacks blog posts.
Check it out here:
WebRTC Live #38 - "Updates from webrtcHacks," Chad Hart, webrtcHacks.com from arinsime on
I generally produce longer, indepth posts over at webrtcHacks. However, that format doesn't work for all posts and there are many topics we want to cover. So, we're trying out shorter format for some posts. Let me know what you think!
I cover Perfect Negoition in the first post in
WebRTC has a new browser – kind of. Microsoft GA’ed its “new” Edge browser based on Chromium – commonly referred to Edgium. On the surface one less WebRTC engine to work with should make life easier for developers, but does the reality match the ambition?
I did a review of Edgium's