Spend time reviewing outputs like a tech lead does when managing multiple developers. That's the upgrade you hust got in your career, you are now bound to how many "team members" you can manage at a single time. I'm grateful to live in such a time.
You can just dump the youtube link video in Google AI studio and ask it to transcribe the video with speaker labels and even ask it it to add useful visual clues, because the model is multimodal for video too.
I recommend to not show dates as it can easily help triangulate your location of where this Pi is running, and with the internet crowd, doxxing yourself is never a good idea.
From the regular images, probably not a lot. But if you see a plane crossing in front of the moon or the sun, you could determine a ground track of the shadow of the plane. If you get that with two different planes, you probably have a pretty accurate position (a few hundred meters). Combined with the image of the setup, showing a balcony, someone could probably find the exact location.
> If you get that with two different planes, you probably have a pretty accurate position (a few hundred meters).
What?! I've seen the viral guy on social media who can pinpoint places in the world by looking at a photo but... a few hundred meters based on the angle of the sun/moon? That's wild!
If you have time of the image accurate to the minute, and you know that the plane, sun and observer were on a line, the observer has to be on the ground track of the shadow of the plane during this minute. If you have that from two planes on different tracks, the observer has to be at the intersection of the ground tracks.
This method is not just from measuring the angle of moon/sun, but using the plane (which has a known position) as a marker. Just by using the angle of sun and moon, you need to be extremely precise. 1 degree error is 1/360 of the circumference of earth distance, that’s about 100km.
If you know the flight and the date and time you can easily pinpoint exactly where the plane was and where it was heading. Not incredibly challenging at that point to narrow in on roughly where the photos were taken from.
Those red-green navigation lights are enough. There is only one aircraft position which would satisfy a given relative configuration.
PI camera has a known field of view and given hundreds of images one could have directions converging pretty accurately.
Nit pick, it's not using a Pi camera, its using an old Nokia 5.4 phone as a camera.
Also, they're showing (and linking to) FlightRadar24's departure and destination data, it's quite clear they are on one of the approaches to Delhi International (DEL). I don't know how many runways DEL has, but there's no more than 4 possible lines planes take in approach and departure. If i cared enough I could easily work out which of those lines by checking FlightRadar for the history of one of the links, and match the timestamp with the FR tracklog.
Collection 100s of images any attempting to do geometry magic is unnecessarily complicating things. (Which is fine if your goal is to solve complicated problems for fun. But there is a much easier way.)
Depends on how far from the airport you are, and the accuracy of the timestamp. If you have accurate-to-the-second timestamps and you're within maybe 10km of the airport I think you could get down to a neighborhood pretty easily.
You know roughly the perspective that the camera sees the plane from, so you take the plane position at that timestamp and project that perspective line down onto the ground. The higher the plane, the more error there is with estimating the observation axis, so the less accurate this gets.
People are not born with knowledge, however trivial it seem after knowing it. Same thing with privilege: different perspectives are earned with experience, not something that we start with.
How easy are zebrafish to raise? What is their lifecycle? Can I raise millions of them in my basement or will I need to buy some warehouse? How long do they take? What do they eat? Any venture capitalists willing to fund my next business?
zebrafish are trivial, they are basically tropical fish that were repurposed for scientific research. temperature, ph, feeding, and cleaning the tank are the key steps.
Maintaining a population of zebrafish for scientific research is a bit more challenging; you need to maintain a continuous environment, adhere to a protocol, etc, to reduce all the variables that would your make your research results less reproducible.
zebrafish are imho one of the truly great model organisms- more interesting to work with and more convenient for many things. If I hadn't picked tardigrades for my microscopy/computer vision projects, I would have gone with zebrafish.
It's a common model organism in biology. One of the reasons is that it's easy to breed and keep in labs with fairly quick lifecycles. Raising millions of them is probably going to require a warehouse just like it would take to raise a million mice.
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