Curious why they stream all that sparse data to the cloud over dubious cell networks. If they used AWS they could easily deploy that TF model to the edge using Greengrass ML Inference and just send up anomalous signals.
Listening for illegal logging chainsaws using TensorFlow
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Re: Listening for illegal logging chainsaws using TensorFlow
#32Hopefully it works better for logging, which is to mean: at all.
Re: Listening for illegal logging chainsaws using TensorFlow
#33Re: Listening for illegal logging chainsaws using TensorFlow
#34Someone more familiar with satellites can correct me, but from my understanding you should be able to detect deforestation from real-time satellite data. You alert on changes in the level of greenery in the images. The indicator might trail behind detecting chainsaw noises, but it wouldn't require the mass distribution of detector devices.
Re: Listening for illegal logging chainsaws using TensorFlow
#35Thanks for checking out Rainforest Connection! Seems that there are lots of [appropriate] questions about how well this works in the forest, and how our partners on the ground follow up on alerts. Here’s a recent intervention in Peru that sums up the process: https://twitter.com/lilitjejauregui/status/97585519352188518...
This is a really cool application of this technology, great work! Do you have any blog posts explaining the types of models you're using or open source repos that one could contribute to? (Asking as a ML/Software Engineer who's pleasantly surprised and yearning to contribute to something like this!)
Re: Listening for illegal logging chainsaws using TensorFlow
#36Anyone else wonder if google's on a massive PR drive given all the privacy-related bad press that tech has been getting recently?
If they're trying to get away from privacy-related bad PR, maybe "oh, by the way, we're capable of bugging the entire rainforest and analyzing the take in real-time" isn't the best approach. Heaven knows it's only driving me more paranoid.
Any violent act, no matter the size or whether it looks like or is a so-called legitimate reaction/response should be a signal/flag for response. All of these systems can be used for good or bad, they can excel at either - the broken piece will always be a lack of trust and relationships with community. This is the fight between good and bad/evil, between light and dark. The nervousness caused by bad/evil should be used and funnelled into strengthening oneself, one's resolve.
There may always be people trying to take advantage of these systems throughout history (perhaps at no fault of their own, we're born into the environment we're born into), however we can design systems for the environment and people to be healthy - health including being attached to empathy properly and to develop a practice of non-violence within society, and while educating to help people understand the value of these surveillance systems like tracking illegal activity in the management of Earth's resources - whether forestry, fishing, pollution; we're all fucked if we don't manage these. Not being a responsible being wanting to work together to manage these resources is very short-sighted and shallow thinking (primarily because of people stuck on scarcity/survival thinking), because we literally could all die if we don't manage these system. With economies of scale and automation we can do this - we can succeed. We can give an increasing higher quality of life to everyone than anyone on Earth has likely lived thus far. This isn't fiction, this is truth.
Stephen Hawking before passing was worried capitalism will get the best of us though -- that is his rally call for us to stand together, to align, and manage the negative impacts that a capitalistic-transactional system requires; http://www.businessinsider.com/stephen-hawking-final-reddit-... - the way we can honour this contributions to society is to, for those of us who are able, to stand and fight together. His passing on Pi day, the day Einstein's birthday, was no mistake - it's a bright beacon of light, the rallying call. Pay attention, stand guard.
Re: Listening for illegal logging chainsaws using TensorFlow
#37Are there methods to change the noise of a chainsaw, as there's money to be made in illegal logging - they'll have the incentive if they're organized, so it would be quiet enough or different enough to potentially sound like it's "outside" of a protected area or not a chainsaw at all?
Re: Listening for illegal logging chainsaws using TensorFlow
#38How about detecting fraudulent blockchain ads?
All ICOs are all designed to be the same Ponzi-Pyramid scheme, as how they're incentivized - which is what makes Bitcoin, Ethereum's Ether et al in the same boat.
Re: Listening for illegal logging chainsaws using TensorFlow
#39I realize that the audio is probably analyzed for the sound of chainsaws, and then thrown away, but there's still the potential that such a system could be misused. So just wondering what people think about the ethical issues related to this technology.
Re: Listening for illegal logging chainsaws using TensorFlow
#40Earlier quoted context omitted.
Yes. In the video there is a short snippet where the audio is shown as a Fourier transformed image on the screen and a user is annotating the image of the sound using red boxes. This is a part of the process to train the ML model to recognize chainsaw sounds vs. other sounds.
But can it identify lyrebird's?