by ryankupyn on 11/29/17, 6:20 PM
This is neat but sort of strange - I love the idea of a hardware package that makes fiddling with deep learning easy, but I wonder why Amazon went through the trouble of producing such a relatively niche product?
If I had to guess, this is going to be a great "user education" tool for AWS, designed to get new developers on the platform as early in the learning process as possible.
by conorh on 11/29/17, 6:44 PM
This is great for my chicken coop project :) I have been working with a raspberry pi and camera to train a system to recognize and respond to squirrels (close the feeder to stop them eating food). There are many other options to build this, but it is nice that this is an integrated system that is easy to train!
by drewda on 11/29/17, 6:57 PM
Related: I recently came across the "Google AIY Voice Kit for Raspberry Pi" in the Adafruit store:
https://www.adafruit.com/product/3602That, as well as this new "AWS DeepLens", look like interesting kits/toys to try out new on-device and hosted systems for voice processing and computer vision.
Then again, I assume you have to buy these knowing that the hardware will likely cease to work in the next year or two or three... or whenever the hosted aspects change, and AWS and Google move on to their next trend.
Any other similar kits/toys others have found?
by minimaxir on 11/29/17, 6:16 PM
100 GFLOPS can process deep learning predictions on HD video in real time? I thought even GPUs like the GTX 1080 (8.8 TFLOPS) had difficulty with that.
by dharma1 on 11/29/17, 6:35 PM
Not really sure why you would use this over an Android/iOS phone and Tensorflow Mobile, or Jetson TX1+camera if you need more FLOPS at a small size
by jweir on 11/29/17, 8:01 PM
Perfect! I will train one of these to watch my pained facial expressions when Alexa is triggered without using a keyword. Then it will fire a speech script "Bad Alexa."
by GistNoesis on 11/29/17, 8:11 PM
Shameless related plug : We recently developed a deep-learning powered 2-axis-gimbal for a webcam :
https://github.com/GistNoesis/Linn-Photobooth . We do use deep-learning either for deep-art or for pose tracking.
I guess we can probably control the gimbal with this new camera though I'm not sure It will be able to process deep art.
In my other usages, usually I have multiple cheap webcams with cheap board (IP cams or other) streaming it (over wifi/ethernet) to the GPU processing station located somewhere. With powerful GPU boards at €650, it's probably a better strategy once you start having plenty of cams.
by cr4ig_ on 11/29/17, 8:01 PM
Just make sure that if you're going to be discussing disconnecting DeepLens that you turn the pod so that the camera can't read your lips.
by suyash on 11/29/17, 7:19 PM
You can do much more with your phone's camera. I think a better use case would have been an SDK for Android/iOS. There are several open source libraries that you do a lot more interesting that simple object recognition.
by bluddy on 11/29/17, 6:29 PM
They don't specify what this has to enable deep learning. Intel GPU? Atom processor?
by drodil on 11/29/17, 6:20 PM
"HOT DOG NOT HOT DOG" really makes it useful for adult film industry :D
by senatorobama on 11/29/17, 10:48 PM
Wait.. why?
If you were a company developing a product based on this, why would you want an AWS logo stamped on top?
by modeless on 11/29/17, 6:57 PM
Intel Atom processor? What a silly choice! A Tegra would be literally 10x faster for machine learning. Why on Earth would anyone choose Atom for this application?
Much better hardware for this application would be an NVIDIA Shield TV box and a USB webcam. 10x the performance for cheaper.
by mercprof on 11/30/17, 8:45 AM
The tiny JeVois smart camera has been doing this for a while now, and lots of other kinds of computer vision too, although in a smaller and lower resolution device, also much cheaper at $49 and fully open source.
by msie on 11/29/17, 9:29 PM
How soon before someone attaches a gun and legs to this thing? (see: Portal)
by k_f on 11/29/17, 8:24 PM
Am I the only one triggered by the fact that they used blue USB 2.0 ports?
by amelius on 11/29/17, 10:08 PM
Does this device "phone home"?