4 ms·

How is this better than using a typical smartphone?

monkmartinez 9y ago
Do you know of any ML/Deep learning apps for Android that I can apply as I would with this? I want to run this on my fire engine in traffic.
- Willson50 9y ago
  You probably wouldn't want to train models on it, but there's several examples of using models on phones. https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/android/README.md https://github.com/tensorflow/tensorflow/blob/master/tensorf...
brittohalloran 9y ago
It costs $45 (+ Pi Zero W + Camera + SD card = approx. $90 total) and could be left somewhere analyzing video frames and communicating results.
- DerfNet 9y ago
  There are quite a few budget smartphones out there for under $90, without even touching the used market. Could the software run on an Android device?
  - sargun 9y ago
    Like what?
    - DerfNet 9y ago
      https://www.amazon.com/s/?field-keywords=cheap+unlocked+smartphone https://www.amazon.com/s/?field-keywords=cheap+unlocked+smar...
    - Tsagadai 9y ago
      Redmi 4A. There are some very interesting low end phones coming out of China.
CamperBob2 9y ago
It can be left in a specific location, for one thing. Security and game cameras are a massively-unsolved problem, for instance. I'd like to capture footage of bears, coyotes, and other wildlife as it travels through my back yard, not to mention keeping an eye out for larger bipedal visitors. But it's almost impossible to convince the naive motion detection algorithms in my surveillance cameras not to respond to trees swaying back and forth in the wind, or to the resulting rapid movement of patches of dappled sunlight. Or to spiders crawling back and forth in front of the lens, building a web. Or to moths that seem to be attracted to the IR illuminator at dusk. Or to any number of other things that any human would instantly recognize as a false alert, but that are very difficult for software to reject without frequent mistakes in sensitivity, specificity or both. It's hard to believe that anyone with an outdoor security camera hasn't had to deal with similar hassles. I'm sure there are other applications for a camera like this, but if I were an investor, I'd be very interested in the intersection of ML and security in general. I'm definitely interested as a homeowner.
- askvictor 9y ago
  OTOH an 2 year old smartphone has a decent camera, CPU, and an inbuilt battery. Powering the things is probably the trickiest part for remote surveillance (even home surveillance if you don't want to rewire your house); a battery helps with that.
  - CamperBob2 9y ago
    Compared to smartphones, outdoor cameras need to be built to very different specifications and standards. I don't think my iPhone would last very long duct-taped to the side of my house. Of course, neither would a camera that's made out of cardboard and runs on a Raspberry Pi. But for prototyping, this seems like it could offer a good start.
- maxxxxx 9y ago
  Same here. I like to set up trail cameras in the mountains to watch animals and it's really hard to find a spot where no piece of grass or some leaf in a spider web triggers the camera all the time when it's windy. I would also like the camera to stay on the whole time the animal is in view, not only a fixed interval like 10 secs.
dragonwriter 9y ago
Well, it's cheaper than a typical smartphone. And probably easier to customize, hardware and software-wise, than a typical smartphone.
modeless 9y ago
This is a reasonable question with a real answer that has not yet been mentioned. The Movidius accelerator chip in this kit does 150 GFLOPS at around 1 watt of power consumption [1] making it much faster (for this specific application) than a budget phone, or even a flagship most likely, with lower power consumption. [1] http://www.tomshardware.com/news/movidius-fathom-neural-compute-stick,31694.html http://www.tomshardware.com/news/movidius-fathom-neural-comp...

Do you know of any ML/Deep learning apps for Android that I can apply as I would with this? I want to run this on my fire engine in traffic.

Willson50 9y ago
You probably wouldn't want to train models on it, but there's several examples of using models on phones. https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/android/README.md https://github.com/tensorflow/tensorflow/blob/master/tensorf...

brittohalloran 9y ago

It costs $45 (+ Pi Zero W + Camera + SD card = approx. $90 total) and could be left somewhere analyzing video frames and communicating results.

DerfNet 9y ago
There are quite a few budget smartphones out there for under $90, without even touching the used market. Could the software run on an Android device?
- sargun 9y ago
  Like what?
  - DerfNet 9y ago
    https://www.amazon.com/s/?field-keywords=cheap+unlocked+smartphone https://www.amazon.com/s/?field-keywords=cheap+unlocked+smar...
  - Tsagadai 9y ago
    Redmi 4A. There are some very interesting low end phones coming out of China.

CamperBob2 9y ago

It can be left in a specific location, for one thing. Security and game cameras are a massively-unsolved problem, for instance. I'd like to capture footage of bears, coyotes, and other wildlife as it travels through my back yard, not to mention keeping an eye out for larger bipedal visitors. But it's almost impossible to convince the naive motion detection algorithms in my surveillance cameras not to respond to trees swaying back and forth in the wind, or to the resulting rapid movement of patches of dappled sunlight. Or to spiders crawling back and forth in front of the lens, building a web. Or to moths that seem to be attracted to the IR illuminator at dusk. Or to any number of other things that any human would instantly recognize as a false alert, but that are very difficult for software to reject without frequent mistakes in sensitivity, specificity or both. It's hard to believe that anyone with an outdoor security camera hasn't had to deal with similar hassles. I'm sure there are other applications for a camera like this, but if I were an investor, I'd be very interested in the intersection of ML and security in general. I'm definitely interested as a homeowner.

askvictor 9y ago
OTOH an 2 year old smartphone has a decent camera, CPU, and an inbuilt battery. Powering the things is probably the trickiest part for remote surveillance (even home surveillance if you don't want to rewire your house); a battery helps with that.
- CamperBob2 9y ago
  Compared to smartphones, outdoor cameras need to be built to very different specifications and standards. I don't think my iPhone would last very long duct-taped to the side of my house. Of course, neither would a camera that's made out of cardboard and runs on a Raspberry Pi. But for prototyping, this seems like it could offer a good start.
maxxxxx 9y ago
Same here. I like to set up trail cameras in the mountains to watch animals and it's really hard to find a spot where no piece of grass or some leaf in a spider web triggers the camera all the time when it's windy. I would also like the camera to stay on the whole time the animal is in view, not only a fixed interval like 10 secs.

dragonwriter 9y ago

Well, it's cheaper than a typical smartphone. And probably easier to customize, hardware and software-wise, than a typical smartphone.

modeless 9y ago

This is a reasonable question with a real answer that has not yet been mentioned. The Movidius accelerator chip in this kit does 150 GFLOPS at around 1 watt of power consumption [1] making it much faster (for this specific application) than a budget phone, or even a flagship most likely, with lower power consumption. [1] http://www.tomshardware.com/news/movidius-fathom-neural-compute-stick,31694.html http://www.tomshardware.com/news/movidius-fathom-neural-comp...