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Where do I begin if I want to set something like this up? As an experiment - my neighborhood in India has a problem with loud motorbikes that are illegally mod
by fareesh 9y ago
Where do I begin if I want to set something like this up?
As an experiment - my neighborhood in India has a problem with loud motorbikes that are illegally modified. Hypothetically if I wanted to use this approach (there are probably simpler ones in this specific case), where do I start?
Do I just start recording gigabytes of audio data every day and start doing some kind of FFT on the data and manually tagging cases of loud bikes?
After that I suspect I can use one of those ML cheat sheets to figure out what is the best model for this kind of thing and then I just send it data via the TensorFlow library?
On the surface of it it feels like I'd be spending hours of processing time converting the audio data and hours of manual tagging before I get anywhere close to a solution. Is there a quicker or smarter way to go about this?
- notahacker 9y agoI'd start with the end goal. Is the acoustic signal from the motorbikes likely to be traceable to particular bikes? If so, would the local police actually be interested in following up? There is value in quantifying just how noisy the bikers are and for just how long they disturb the neighbourhood, but you'll probably need the perpetrators to be people the police are able and willing to stop to get anywhere.
- fareesh 9y agoYeah I've already spoken with the police they are down with nabbing these folks if there's video evidence. I could theoretically leave a camera running or simply trigger on high enough volume but for assuming I wanted to do it this way I'm curious about the best approach.