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How to Do Real Time Object Detection on Drones

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Re: How to Do Real Time Object Detection on Drones

#31
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post #13

Earlier quoted context omitted.

Well, I'm 60 now and I've worked in Silicon Valley for over 40 years. So I guess I hear about all the other uses of such technology. I've worked with NSA, CIA, DIA, all the branches of military, and a bunch of people who don't officially exist. So, while there are definitely things I can't say, I will say that the "dust sensors" have been in use for many years, and I'm not describing anything theoretical. We need to…

Yeah, they worked amazingly well at stopping some terrorists. Let's see them stop me from procuring a weapon. FFS, even my ISP is more of a problem than dust sensors.

In case it wasn't clear, we don't have pervasive monitoring deployed yet (not for lack of steps in that direction), so catching terrorists is still hard. But I guess you've already determined the limitations of future systems, so I don't even need to say that.

Re: How to Do Real Time Object Detection on Drones

#32

Has anyone attempted to do anything like this for SAR (Search and Resuce)? I”m not sure where one would gather a good dataset for training a model.

Here are a few more who have tried it or use deep learning for SAR: https://www.planckaero.com/maritimedrone/ https://flytbase.com/flytstories/search-and-rescue-drone/ https://news.developer.nvidia.com/autonomous-search-and-resc...

Data for training such models for practical use are difficult to get. Often, one has to train a model on a different but related dataset that contains your object of interest and ensure that your model generalizes well. These models are highly sensitive to the data that they are trained on, so it is best if you can gather data which is closer to the actual environment (in which you want to use the model).

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