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AWS DeepLens – Deep learning enabled video camera for developers

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Re: AWS DeepLens – Deep learning enabled video camera for developers

#11
post #8

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

Jetson TX1 is much expensive than this one, though. As with most phones. And most importantly, this looks like a Dropcam style camera, I think the expectation of use case is different here.

Re: AWS DeepLens – Deep learning enabled video camera for developers

#12
post #10

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!

Evil tech, taking food from little squirrel.

Re: AWS DeepLens – Deep learning enabled video camera for developers

#13
post #10

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!

Please submit a post about this project, with juicy details!

Re: AWS DeepLens – Deep learning enabled video camera for developers

#14
Related: I recently came across the "Google AIY Voice Kit for Raspberry Pi" in the Adafruit store: https://www.adafruit.com/product/3602

That, 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?

Re: AWS DeepLens – Deep learning enabled video camera for developers

#15
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.

Re: AWS DeepLens – Deep learning enabled video camera for developers

#17
post #10

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!

Please submit a post about this project, with juicy details!

Sure will do, mostly I've been training squirrel recognition models on my laptop and also learning what it takes to run those models on the raspberry pi (low frame rates) with OpenCV. I did also buy one of these though https://www.adafruit.com/product/997 so once I get everything running I may also have videos of squirrels being sprayed by the garden hose :)

Re: AWS DeepLens – Deep learning enabled video camera for developers

#18
post #8

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

Jetson TX1 is much expensive than this one, though. As with most phones. And most importantly, this looks like a Dropcam style camera, I think the expectation of use case is different here.

Jetson is a dev kit. Pricing for a consumer product with the same chip is lower. You can get a Shield TV box for $180 today; plug in a webcam and it's equivalent to this Amazon thing but cheaper with 10x the performance. For a video processing application that extra performance is going to be essential.

Re: AWS DeepLens – Deep learning enabled video camera for developers

#20
post #5
post #3

"HOT DOG NOT HOT DOG" really makes it useful for adult film industry :D

I think it's rather a Silicon Valley reference.

And the amazon info site actually has a picture of a hotdog and the reference to "HOT DOG NOT HOT DOG"
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